System and method for ai-powered relationship coaching with gamified progression

Abstract

A system for personalized AI coaching and gamified progression can comprise a user interface for receiving inputs and publishing content. A database can store user profile data and content. An AI coaching module can analyze user inputs and profile data, generate personalized recommendations, and adapt based on progress. A gamification module can track activities, award virtual rewards, and update status within a multi-stage framework. A content delivery module can provide stage-appropriate content. A quiz module can administer assessments, analyze results, and trigger advancements when thresholds are met. The system can enable personalized coaching experiences with gamified elements to motivate user engagement and progress.

Description

Attorney Docket No.: 90-10-007TITLE SYSTEM AND METHOD FOR AI-POWERED RELATIONSHIP COACHING WITH GAMIFIED PROGRESSION FIELD OF DISCLOSURE

[0001] The present disclosure generally relates to personal development and relationship coaching technologies. More specifically, it pertains to Al -powered mobile applications that provide personalized guidance and gamified progress tracking for individual growth and relationship enhancement.BACKGROUND

[0002] In some situations, individuals may struggle with personal growth and relationship development. For example, many people find it challenging to maintain motivation and consistency when working on self-improvement goals. Thus, the conventional strategy is to rely on self-help books, generic online courses, or occasional therapy sessions. This often causes problems because the conventional strategy does not provide personalized, ongoing support tailored to an individual's specific needs and progress. For example, a person may read a self-help book but struggle to apply the concepts to their unique situation without guidance. Additionally, traditional methods may lack engaging elements that keep users motivated over time. As a result, many individuals may abandon their personal growth efforts or fail to make meaningful progress in improving their relationships and emotional well-being.

[0003] Traditional approaches to personal development often lack the ability to address complex emotional issues effectively. For example, individuals dealing with past traumas or deep-seated insecurities may find generic self-help advice insufficient for their specific needs. The conventional strategy of relying on sporadic therapy sessions or generalized workshops may not provide the consistent, targeted support required for meaningful emotional healing. This often causes problems because the conventional strategy does not account for the nuanced and evolving nature of an individual's emotional landscape. For example, a person struggling with trust issues in relationships may require ongoing, adaptive guidance that adjusts as they progress through different stages of healing and growth.

[0004] Additionally, many existing personal development methods may fail to integrate various aspects of an individual's life, such as relationships, career, and financial well-being. This compartmentalized approach often causes problems because it does not address the interconnected nature of personal growth. For example, an individual focusing solely on careerAttorney Docket No.: 90-10-007development may neglect the impact of their emotional well-being on their professional success, potentially hindering overall progress.

[0005] Moreover, the lack of engaging, interactive elements in traditional personal development approaches may lead to decreased motivation and inconsistent practice. This often causes problems because sustained effort and regular engagement are crucial for achieving lasting personal growth. For example, individuals may initially feel inspired by a motivational seminar but struggle to maintain that momentum without ongoing support and interactive tools to reinforce their learning.

[0006] Furthermore, existing personal development approaches often lack integration with real-world relationship dynamics. For example, many self-help programs focus solely on individual growth without addressing how to apply newfound skills in actual relationships. The conventional strategy of providing generic relationship advice may not account for the complexities of modern dating and partnerships. This often causes problems because the conventional strategy does not bridge the gap between theoretical knowledge and practical application in real-life scenarios. For example, an individual may learn communication techniques from a self-help book but struggle to implement them effectively in emotionally charged situations with a partner.

[0007] Traditional personal growth methods may not adequately address the unique challenges faced by specific demographics. For instance, women in their 30s and 40s navigating career success alongside relationship goals may have distinct needs that are not met by generalized self-improvement programs. The conventional strategy of offering one-size-fits-all solutions often causes problems because it does not account for the intersectionality of various life aspects, such as career, personal growth, and relationships. For example, a successful professional woman may find it challenging to balance her career ambitions with her desire for a fulfilling romantic partnership, and generic advice may not provide the nuanced guidance needed to navigate these complex dynamics.

[0008] Moreover, many existing personal development approaches lack a structured, measurable framework for tracking progress and celebrating milestones. The conventional strategy of setting vague, long-term goals without clear intermediate steps often causes problems because it fails to provide users with a sense of achievement and motivation throughout their journey. For example, an individual working on improving their self-esteem may struggle to recognize small, incremental improvements without a defined system for measuring and acknowledging progress.Attorney Docket No.: 90-10-007

[0009] Thus, there is a need for a more effective and engaging solution to personal growth and relationship development. Traditional approaches often lack personalization, consistency, and the ability to address complex emotional issues effectively. For example, individuals may struggle to apply generic advice from self-help books to their unique situations, or find sporadic therapy sessions insufficient for sustained progress. Moreover, existing methods frequently fail to integrate various aspects of an individual's life, such as relationships, career, and emotional well-being, leading to a fragmented approach to personal development. Additionally, the absence of engaging, interactive elements in conventional strategies may result in decreased motivation and inconsistent practice, hindering overall progress in achieving lasting personal growth and improving relationships.SUMMARY

[0010] This brief overview is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This brief overview is not intended to identify key features or essential features of the claimed subject matter. Nor is this brief overview intended to be used to limit the claimed subject matter’s scope.

[0011] A system for personalized Al coaching and gamified progression can comprise a user interface configured to receive user inputs and publish content. The system can include a database storing user profile data and content. An artificial intelligence [Al] coaching module can be configured to analyze the user inputs and the user profile data. The Al coaching module can generate a personalized coaching recommendation. The Al coaching module can adapt the personalized coaching recommendation according to changes to needs of the user and according to changes in the user's current progression.

[0012] A gamification module can be configured to track user activities and progress. The gamification module can award virtual rewards based on user achievements. The gamification module can update user status within a multi-stage progression framework.

[0013] A content delivery module can be configured to provide stage-appropriate content to users based on a current progression stage of the user. A quiz module can be configured to administer periodic assessment quizzes. The quiz module can analyze quiz results to determine user progression. The quiz module can trigger stage advancements when quiz score thresholds are met.

[0014] Optionally concerning the system for personalized Al coaching and gamified progression:Attorney Docket No.: 90-10-007- The stage-appropriate content can comprise personalized coaching advice, selfimprovement exercises, and educational materials tailored to a current progression stage of the user;- The quiz module can be further configured to adaptively adjust quiz difficulty based on previous user performance and current progression stage;- The Al coaching module can be further configured to generate personalized affirmations and mantras based on the user's profile data and current emotional state;- The Al coaching module can comprise a natural language processing component configured to analyze user text inputs and generate contextually relevant responses; - The Al coaching module can adapt its personalized coaching recommendation according to changes to needs of the user and according to changes in the user's current progression;- The gamification module can be configured to:o display a visual journey map showing user progress across stages,o animate milestone achievements and stage advancements, ando maintain user rankings on one or more leaderboards;- The content delivery module can be further configured to unlock additional content when a user reaches new stages or achieve specific milestones;- The system can further comprise a community engagement module configured to: o facilitate interactions between at least two users of the system, the at least two users defining a community,o award points for community participation activities, ando display a community engagement score;- The quiz module can be further configured to administer an initial assessment containing at least a first question directed to a budget of the user and a second question directed personal relationship characteristics of the user, the initial assessment when completed generating responses by the user to the initial assessment;- The Al coaching module can be further configured to:o conduct an analysis of the user's responses to the initial assessment; and o responsive to the analysis, assign a user archetype to the user, the user archetype selected from a plurality of stored archetypes, each stored archetype corresponding to at least one unique personal relationship characteristic not shared with any other stored archetype;Attorney Docket No.: 90-10-007- The quiz module can be further configured to administer a multi-day challenge to the user; and the user inputs can further comprise an indication as to whether the user has completed the multi-day challenge;- The Al coaching module can be further configured to, responsive to an indication that the user has completed the multi-day challenge, send a communication to the user requesting an indication of a coaching preference of the user, the coaching preference selected from one of a self-guided program and a personal coaching program;- The Al coaching module can be further configured to, responsive to receiving the user’s coaching preference, formulate the personalized coaching recommendation by determining an initial program tier based upon the user’s coaching preference and budget, and by selecting an initial tier recommendation script according to both the initial program tier and the user archetype;- The personalized coaching recommendation can recommend a program selected from a group consisting of at least two self-guided programs and at least two personal coaching programs, the at least two self-guided programs and the at least two personal coaching programs together organized into tiers, with the personal coaching programs comprising upper tiers and the self-guided programs comprising lower tiers.- The user inputs can include behavioral data, emotional data, and financial data, and the system can further comprise an Al user tier advancement readiness assessment module (AIUTARAM), the AIUTARAM configured to employ Al to:o analyze the behavioral data to determine a behavioral readiness score; o analyze the emotional data to determine an emotional readiness score; o analyze the financial data to determine a financial readiness score;o correlate the behavioral readiness score, the emotional readiness score, and the financial readiness score to determine a composite readiness score;- The AIUTARAM can be further configured to:o Determine whether calculation of the composite readiness score is a first such calculation performed to assess whether the user is ready to advance from a current tier occupied by the user to a higher tier.o responsive to a determination that the calculation of the composite readiness score is the first such calculation performed to assess whether the user is ready to advance from the user's current tier to a higher tier, reach a conclusion as to whether readiness criteria have been satisfied, the conclusion reached byAttorney Docket No.: 90-10-007comparing the composite readiness score to a predetermined advancement readiness threshold; ando responsive to reaching a positive conclusion that the readiness criteria have been satisfied, transmit the positive conclusion to the quiz module;- The quiz module can be further configured to, responsive to receiving the positive conclusion from the AIUTARAM, administer a periodic assessment quiz to the user. - The AIUTARAM can be further configured to, responsive to reaching a negative conclusion that the readiness criteria have not been satisfied, transmit the negative conclusion to the content delivery module;- The content delivery module can be further configured to:o responsive to receiving the negative conclusion from the AIUTARAM, unlock reinforcement content for the user;o determine whether the user has completed reinforcement activities; and o responsive to determining that the user has completed the reinforcement activities, causing the AIUTARAM to re-calculate the composite readiness score; - The AIUTARAM can be further configured to:o responsive to a determination that the calculation of the composite readiness score is not the first such calculation performed to assess whether the user is ready to advance from the user’s current tier to a higher tier, reach a conclusion as to whether readiness criteria have been satisfied, the conclusion reached by comparing the composite readiness score to a predetermined advancement readiness threshold, ando responsive to reaching a positive conclusion that the readiness criteria have been satisfied, transmit the positive conclusion to the quiz module;- The quiz module can be further configured to, responsive to receiving the positive conclusion from the AIUTARAM, administer a periodic assessment quiz to the user; - The AIUTARAM can be further configured to, responsive to reaching a negative conclusion that the readiness criteria have not been satisfied, transmit the negative conclusion to at least one of the Al coaching module and the content delivery module; - The at least one of the Al coaching module and the content delivery module can be further configured to, responsive to receiving the negative conclusion from the AIUTARAM:o impose a delay of a rate at which ensuing content is delivered to the user, andAttorney Docket No.: 90-10-007o subsequent to imposing the delay, causing the AIUTARAM to re-calculate the composite readiness score.- The Al coaching module can be further configured to, following selection of the initial tier recommendation script:o publish a call-to-action (CTA) button to the user; ando responsive to a clicking of the CTA button by the user, publish the initial tier recommendation script.- The CTA button can be a first CTA button, and the Al coaching module can be further configured to publish to the user, along with the initial tier recommendation script: o a second CTA button;o at least one payment option for the user to pay for accessing the program identified in the tier recommendation script;o an archetype-dependent script; ando bonus-related information providing an incentive for the user to respond to the initial tier recommendation within a limited time, the bonus-related information customized according to the user archetype;- The Al coaching module can be further configured to:o responsive to a clicking of the second CTA button by the user, provide the user with access to content in the initial program tier identified in the initial tier recommendation script, ando responsive to receiving an indication that the user completed one of the initial program tier and a subsequent recommended tier, generate and publish a progression recommendation script recommending a program in a tier higher than any tier the user has completed, the progression recommendation script varying according to the user’s progress and to the user archetype;- The user interface can be further configured to publish:o the progression recommendation script by at least one of displaying the progression recommendation script to the user as text, playing an audio clip reciting the progression recommendation script, playing an audiovisual clip reciting the progression recommendation script, and presenting an animated avatar reciting the progression recommendation script, ando to the user, along with the progression recommendation script, a third CTA button; and responsive to a clicking of the third CTA button by the user, provideAttorney Docket No.: 90-10-007the user with access to content in a tier identified in the progression recommendation script; and- The Al coaching module can be further configured to send the user a follow-up communication responsive to a determination that the user has not clicked the third CTA button within a predetermined time period following completion of a most recent tier occupied by the user.

[0015] A method for providing personalized Al coaching and gamified progression can comprise receiving inputs from a user via a user interface. The method can include analyzing the user inputs and user profile data using an Al coaching module to generate a personalized coaching recommendation. The method can include tracking user activities and progress using a gamification module. The method can include awarding virtual rewards based on user achievements. The method can include updating user status within a multi-stage progression framework. The method can include providing stage-appropriate content to the user based on a current progression stage of the user. The method can include administering periodic assessment quizzes to users. The method can include analyzing quiz results to determine user progression. The method can include triggering stage advancements when quiz score thresholds are met.

[0016] Optionally concerning the method:- The method can further comprise the step of analyzing user text inputs using natural language processing to generate contextually relevant coaching responses;- The method can further comprise the step of adapting the personalized coaching recommendation according to changes to needs of the user and according to changes in the user's progression;- The method can further comprise the steps of:o displaying a visual journey map showing user progress across stages; o animating milestone achievements and stage advancements; ando maintaining user rankings on one or more leaderboards;- The method can further comprise the step of unlocking additional content when the user accomplishes at least one of reaching a new stage and achieving a milestone;- The method can further comprise the steps of:Attorney Docket No.: 90-10-007o facilitating interactions between at least two users accessing the personalized Al coaching and gamified progression, the at least two users defining a community; o awarding points for community participation activities; ando displaying a community engagement score;- The method can further comprise the step of administering an initial assessment containing at least a first question directed to a budget of the user and a second question directed personal relationship characteristics of the user, the initial assessment when completed generating the user’s responses to the initial assessment.- The method can further comprise the steps of:o conducting an analysis of the user’s responses to the initial assessment; and o responsive to the analysis, assigning a user archetype to the user, the user archetype selected from a plurality of stored archetypes, each stored archetype corresponding to at least one unique personal relationship characteristic not shared with any other stored archetype;- The method can further comprise the steps of:o administering a multi-day challenge to the user; ando receiving from the user an indication as to whether the user has completed the multi-day challenge.- The method can further comprise the step of, responsive to an indication that the user has completed the multi-day challenge, send a communication to the user requesting an indication of a coaching preference of the user, the coaching preference selected from one of a self-guided program and a personal coaching program;- The personalized coaching recommendation can:o be generated, responsive to receiving the user’s coaching preference, by determining an initial program tier based upon the user’s coaching preference and budget, and by selecting an initial tier recommendation script according to both the initial program tier and the user archetype; ando recommend a program selected from a group consisting of at least two self- guided programs and at least two personal coaching programs, the at least two self-guided programs and the at least two personal coaching programs together organized into tiers, with the personal coaching programs comprising upper tiers and the self-guided programs comprising lower tiers;Attorney Docket No.: 90-10-007- The user inputs can include behavioral data, emotional data, and financial data, and the method can further comprise the step of applying Al in an Al user tier advancement readiness assessment module (AIUTARAM) to:o analyze the behavioral data to determine a behavioral readiness score; o analyze the emotional data to determine an emotional readiness score; o analyze the financial data to determine a financial readiness score;o correlate the behavioral readiness score, the emotional readiness score, and the financial readiness score to determine a composite readiness score;- The method can further comprise the step of determining whether calculation of the composite readiness score is a first such calculation performed to assess whether the user is ready to advance from a current tier occupied by the user to a higher tier;- The method can further comprise the step of, responsive to a determination that the calculation of the composite readiness score is the first such calculation performed to assess whether the user is ready to advance from the user’s current tier to a higher tier, reaching a conclusion as to whether readiness criteria have been satisfied, the conclusion reached by comparing the composite readiness score to a predetermined advancement readiness threshold;- The method can further comprise the steps of:o responsive to reaching a positive conclusion that the readiness criteria have been satisfied, transmitting, by the AIUTARAM, the positive conclusion to a quiz module, ando responsive to receiving the positive conclusion from the AIUTARAM, administering, by the quiz module, a periodic assessment quiz to the user; - The method can further comprise the steps of:o responsive to reaching a negative conclusion that the readiness criteria have not been satisfied, transmitting, by the AIUTARAM, the negative conclusion to a content delivery module; ando responsive to receiving the negative conclusion from the AIUTARAM, unlocking, by the content delivery module, reinforcement content for the user;- The method can further comprise the steps of, by the content delivery module:o determining whether the user has completed reinforcement activities; and o responsive to determining that the user has completed the reinforcement activities, causing the AIUTARAM to re-calculate the composite readiness score;Attorney Docket No.: 90-10-007- The method can further comprise the step of, responsive to a determination that the calculation of the composite readiness score is not the first such calculation performed to assess whether the user is ready to advance from the user’s current tier to a higher tier, reaching a conclusion as to whether readiness criteria have been satisfied, the conclusion reached by comparing the composite readiness score to a predetermined advancement readiness threshold;- The method can further comprise the steps of:o responsive to reaching a positive conclusion that the readiness criteria have been satisfied, transmitting, by the AIUTARAM, the positive conclusion to a quiz module; ando responsive to receiving the positive conclusion from the AIUTARAM, administering, by the quiz module, a periodic assessment quiz to the user;- The method can further comprise the steps of:o responsive to reaching a negative conclusion that the readiness criteria have not been satisfied, transmitting, by the AIUTARAM, the negative conclusion to at least one of an Al coaching module and a content delivery module; and o responsive to receiving the negative conclusion from the AIUTARAM, by the at least one of the Al coaching module and the content delivery module:■ impose a delay of a rate at which ensuing content is delivered to the user;and■ subsequent to imposing the delay, causing the AIUTARAM to re-calculate the composite readiness score.- The method can further comprise the steps of, following selection of the initial tier recommendation script:o publishing a call-to-action (CTA) button to the user; ando responsive to a clicking of the CTA button by the user, publishing the initial tier recommendation script;- The CTA button can be a first CTA button, and the method can further comprise the step of publishing to the user, along with the initial tier recommendation script:o a second CTA button;o at least one payment option for the user to pay for accessing the program identified in the tier recommendation script;o an archetype-dependent script; andAttorney Docket No.: 90-10-007o bonus-related information providing an incentive for the user to respond to the initial tier recommendation within a limited time, the bonus-related information customized according to the user archetype;- The method can further comprise the step of, responsive to a clicking of the second CTA button by the user, providing the user with access to content in the initial program tier identified in the initial tier recommendation script;- The method can further comprise the step of, responsive to receiving an indication that the user completed one of the initial program tier and a subsequent recommended tier, generating and publishing a progression recommendation script recommending a program in a tier higher than any tier the user has completed, the progression recommendation script varying according to the user’s progress and to the user archetype;- The publishing of the progression recommendation script can comprise at least one of displaying the progression recommendation script to the user as text, playing an audio clip reciting the progression recommendation script, playing an audiovisual clip reciting the progression recommendation script, and presenting an animated avatar reciting the progression recommendation script;- The method can further comprise the steps of:o publishing to the user along with the progression recommendation script, a third CTA button; ando responsive to a clicking of the third CTA button by the user, providing the user with access to content in a tier identified in the progression recommendation script; and- The method can further comprise the step of sending the user a follow-up communication responsive to a determination that the user has not clicked the third CTA button within a predetermined time period following completion of a most recent tier occupied by the user.

[0017] A non-transitory computer-readable medium can store instructions that, when executed by a processor, cause the processor to perform operations. The operations can comprise receiving user inputs from a user via a user interface. The operations can include analyzing the user inputs and user profile data using an Al coaching module to generate personalized coaching recommendations. The operations can include tracking user activities and progress using a gamification module. The operations can include awarding virtualAttorney Docket No.: 90-10-007rewards based on user achievements. The operations can include updating user status within a multi-stage progression framework. The operations can include providing stage-appropriate content to the user based on a current progression stage of the user. The operations can include administering periodic assessment quizzes. The operations can include analyzing quiz results to determine user progression. The operations can include triggering stage advancements when quiz score thresholds are met.

[0018] Optionally concerning the non-transitory computer-readable medium:- The operations can further comprise administering an initial assessment containing at least a first question directed to a budget of the user and a second question directed personal relationship characteristics of the user, the initial assessment when completed generating the user’s responses to the initial assessment;- The operations can further comprise:o conducting an analysis of the user’s responses to the initial assessment; and o responsive to the analysis, assigning a user archetype to the user, the user archetype selected from a plurality of stored archetypes, each stored archetype corresponding to at least one unique personal relationship characteristic not shared with any other stored archetype;- The operations can further comprise:o administering a multi-day challenge to the user; ando receiving from the user an indication as to whether the user has completed the multi-day challenge;- The operations can further comprise, responsive to an indication that the user has completed the multi-day challenge, sending a communication to the user requesting an indication of a coaching preference of the user, the coaching preference selected from one of a self-guided program and a personal coaching program;- The personalized coaching recommendation can:o be generated, responsive to receiving the user’s coaching preference, by determining an initial program tier based upon the user’s coaching preference and budget, and by selecting an initial tier recommendation script according to both the initial program tier and the user archetype, ando recommend a program selected from a group consisting of at least two self- guided programs and at least two personal coaching programs, the at least two self-guided programs and the at least two personal coaching programs togetherAttorney Docket No.: 90-10-007organized into tiers, with the personal coaching programs comprising upper tiers and the self-guided programs comprising lower tiers;- The user inputs can include behavioral data, emotional data, and financial data, and the operations can further comprise using an Al in a user tier advancement readiness assessment module (AIUTARAM) to:o analyze the behavioral data to determine a behavioral readiness score; o analyze the emotional data to determine an emotional readiness score; o analyze the financial data to determine a financial readiness score;o correlate the behavioral readiness score, the emotional readiness score, and the financial readiness score to determine a composite readiness score;- The operations can further comprise determining whether calculation of the composite readiness score is a first such calculation performed to assess whether the user is ready to advance from a current tier occupied by the user to a higher tier;- The operations can further comprise, responsive to a determination that the calculation of the composite readiness score is the first such calculation performed to assess whether the user is ready to advance from the user’s current tier to a higher tier, reaching a conclusion as to whether readiness criteria have been satisfied, the conclusion reached by comparing the composite readiness score to a predetermined advancement readiness threshold;- The operations can further comprise:o responsive to reaching a positive conclusion that the readiness criteria have been satisfied, transmitting, by the AIUTARAM, the positive conclusion to a quiz module, ando responsive to receiving the positive conclusion from the AIUTARAM, administering, by the quiz module, a periodic assessment quiz to the user;- The operations can further comprise:o responsive to reaching a negative conclusion that the readiness criteria have not been satisfied, transmitting, by the AIUTARAM, the negative conclusion to a content delivery module; ando responsive to receiving the negative conclusion from the AIUTARAM, unlocking, by the content delivery module, reinforcement content for the user;- The operations can further comprise, by the content delivery module:o determining whether the user has completed reinforcement activities; andAttorney Docket No.: 90-10-007o responsive to determining that the user has completed the reinforcement activities, causing the AIUTARAM to re-calculate the composite readiness score. - The operations can further comprise, responsive to a determination that the calculation of the composite readiness score is not the first such calculation performed to assess whether the user is ready to advance from the user’s current tier to a higher tier, reaching a conclusion as to whether readiness criteria have been satisfied, the conclusion reached by comparing the composite readiness score to a predetermined advancement readiness threshold;- The operations can further comprise:o responsive to reaching a positive conclusion that the readiness criteria have been satisfied, transmitting, by the AIUTARAM the positive conclusion to a quiz module, ando responsive to receiving the positive conclusion from the AIUTARAM, administering, by the quiz module, a periodic assessment quiz to the user;- The operations can further comprise:o responsive to reaching a negative conclusion that the readiness criteria have not been satisfied, transmitting, by the AIUTARAM, the negative conclusion toatleast one of an Al coaching module and a content delivery module; and o responsive to receiving the negative conclusion from the AIUTARAM, by the at least one of the Al coaching module and the content delivery module;■ impose a delay of a rate at which ensuing content is delivered to the user;and■ subsequent to imposing the delay, causing the AIUTARAM to re-calculate the composite readiness score;- The operations can further comprise, following selection of the initial tier recommendation script:o publishing a call-to-action (CTA) button to the user; ando responsive to a clicking of the CTA button by the user, publishing the initial tier recommendation script;- The CTA button can be a first CTA button, and the operations can further comprise publishing to the user, along with the initial tier recommendation script:o a second CTA button;Attorney Docket No.: 90-10-007o at least one payment option for the user to pay for accessing the program identified in the tier recommendation script;o an archetype-dependent script; ando bonus-related information providing an incentive for the user to respond to the initial tier recommendation within a limited time, the bonus-related information customized according to the user archetype;- The operations can further comprise, responsive to a clicking of the second CTA button by the user, providing the user with access to content in the initial program tier identified in the initial tier recommendation script;- The operations can further comprise, responsive to receiving an indication that the user completed one of the initial program tier and a subsequent recommended tier, generating and publishing a progression recommendation script recommending a program in a tier higher than any tier the user has completed, the progression recommendation script varying according to the user’s progress and to the user archetype;- The operations can further comprise publishing the progression recommendation script by at least one of displaying the progression recommendation script to the user as text, playing an audio clip reciting the progression recommendation script, playing an audiovisual clip reciting the progression recommendation script, and presenting an animated avatar reciting the progression recommendation script;- The operations can further comprise:o publishing to the user along with the progression recommendation script, a third CTA button; ando responsive to a clicking of the third CTA button by the user, providing the user with access to content in a tier identified in the progression recommendation script; and- The operations can further comprise sending the user a follow-up communication responsive to a determination that the user has not clicked the third CTA button within a predetermined time period following completion of a most recent tier occupied by the user.

[0019] A system for providing personalized Al coaching and gamified progression can comprise a processor and a memory storing instructions that, when executed by the processor, cause the processor to perform operations. The operations can comprise receiving user inputsAttorney Docket No.: 90-10-007via a user interface. The operations can include analyzing, using an Al coaching module, the user inputs and user profile data to generate personalized coaching recommendations. The operations can include tracking, using a gamification module, user activities and progress. The operations can include awarding, using the gamification module, virtual rewards based on user achievements. The operations can include updating, using the gamification module, user status within a multi-stage progression framework. The operations can include providing, using a content delivery module, stage-appropriate content to a user based on a current progression stage of the user. The operations can include administering, using a quiz module, periodic assessment quizzes to users. The operations can include analyzing, using the quiz module, quiz results to determine user progression. The operations can include triggering, using the quiz module, stage advancements when quiz score thresholds are met.

[0020] Optionally concerning the system:- The instructions can further cause the processor to:o analyze, using a natural language processing component of the Al coaching module, user text inputs to generate contextually relevant coaching responses; ando adapt the personalized coaching recommendation according to changes to needs of the user and according to changes in the user's current progression;- The instructions can further cause the processor to:o display, using the gamification module, a visual journey map showing user progress across stages;o animate, using the gamification module, milestone achievements and stage advancements; ando maintain, using the gamification module, user rankings on one or more leaderboards;- The instructions can further cause the processor to unlock, using the content delivery module, additional content when users reach new stages or achieve specific milestones; - The instructions can further cause the processor to:o facilitate, using a community engagement module, interactions between at least two users, the at least two users defining a community;o award, using the community engagement module, points for community participation activities; andAttorney Docket No.: 90-10-007o display, using the community engagement module, a community engagement score;- The multi-stage progression framework can comprise a plurality of predefined stages, each stage associated with specific content, quizzes, and achievement criteria; and - The virtual rewards can comprise at least one of digital badges, gems, icons, or access to exclusive content.

[0021] A system for personalized Al coaching and gamified progression can comprising: a user interface; a database storing user profile data and content; an artificial intelligence (Al) coaching module configured to: analyze user inputs and the user profile data, and generate a personalized coaching recommendation; a gamification module configured to track user activities and progress, and award virtual rewards based on user achievements; and a content delivery module configured to provide content to a user.

[0022] The Al coaching module can comprise a natural language processing component configured to analyze user text inputs and generate contextually relevant responses. The gamification module can be configured to display a visual journey map showing user progress across stages, animate milestone achievements and stage advancements, and maintain user rankings on one or more leaderboards. The content delivery module can be configured to unlock additional content when users reach new stages or achieve specific milestones. The system can further comprise a community engagement module configured to facilitate interactions between at least two users of the system, the at least two users defining a community, award points for community participation activities, and display a community engagement score.

[0023] The multi-stage progression framework can comprise a plurality of predefined stages, each stage associated with specific content, quizzes, and achievement criteria. The virtual rewards can comprise at least one of digital badges, gems, icons, or access to exclusive content. The stage-appropriate content can comprise personalized coaching advice, selfimprovement exercises, and educational materials tailored to the user's current progression stage. The quiz module can be configured to adaptively adjust quiz difficulty based on the user's previous performance and current progression stage. The Al coaching module can be configured to generate personalized affirmations and mantras based on the user's profile data and current emotional state.

[0024] Both the foregoing brief overview and the following detailed description provide examples and are explanatory only. Accordingly, the foregoing brief overview and theAttorney Docket No.: 90-10-007following detailed description should not be considered to be restrictive. Further, features or variations can be provided in addition to those set forth herein. For example, embodiments can be directed to various feature combinations and sub-combinations described in the detailed description.BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate various embodiments of the present disclosure. The drawings contain representations of various trademarks and copyrights owned by the Applicant. In addition, the drawings may contain other marks owned by third parties and are being used for illustrative purposes only. All rights to various trademarks and copyrights represented herein, except those belonging to their respective owners, are vested in and the property of the Applicant. The Applicant retains and reserves all rights in its trademarks and copyrights included herein, and grants permission to reproduce the material only in connection with reproduction of the granted patent and for no other purpose.

[0026] Furthermore, the drawings may contain text or captions that may explain certain embodiments of the present disclosure. This text is included for illustrative, non-limiting, explanatory purposes of certain embodiments detailed in the present disclosure. In the drawings:

[0027] FIG. 1 illustrates a block diagram of an operating environment consistent with the present disclosure;

[0028] FIG. 2 is a flow chart of a method for providing an artificial intelligence-based coaching system; and

[0029] FIG. 3 is a block diagram of a computing device for performing the method of FIG. 2.

[0030] FIG. 4 is a flow chart of steps performed in stage 210 of FIG. 2 (generating personalized coaching recommendations).

[0031] FIG. 5 is a flow chart of steps performed in stage 245 of FIG. 2 (trigger stage advancement).

[0032] FIG. 6 is a flow chart of steps performed in stage 233 of FIG. 2 (assess extra-quiz advancement readiness).DETAILED DESCRIPTION

[0033] As a preliminary matter, it will readily be understood by one having ordinary skill in the relevant art that the present disclosure has broad utility and application. As should beAttorney Docket No.: 90-10-007understood, any embodiment may incorporate only one or a plurality of the above-disclosed aspects of the disclosure and may further incorporate only one or a plurality of the abovedisclosed features. Furthermore, any embodiment discussed and identified as being "preferred” is considered to be part of a best mode contemplated for carrying out the embodiments of the present disclosure. Other embodiments also may be discussed for additional illustrative purposes in providing a full and enabling disclosure. Moreover, many embodiments, such as adaptations, variations, modifications, and equivalent arrangements, will be implicitly disclosed by the embodiments described herein and fall within the scope of the present disclosure.

[0034] Accordingly, while embodiments are described herein in detail in relation to one or more embodiments, it is to be understood that this disclosure is illustrative and exemplary of the present disclosure and are made merely to provide a full and enabling disclosure. The detailed disclosure herein of one or more embodiments is not intended, nor is to be construed, to limit the scope of patent protection afforded in any claim of a patent issuing here from, which scope is to be defined by the claims and the equivalents thereof. It is not intended that the scope of patent protection be defined by reading into any claim a limitation found herein that does not explicitly appear in the claim itself.

[0035] Thus, for example, any sequencers] and / or temporal order of steps of various processes or methods that are described herein are illustrative and not restrictive. Accordingly, it should be understood that, although steps of various processes or methods can be shown and described as being in a sequence or temporal order, the steps of any such processes or methods are not limited to being carried out in any particular sequence or order, absent an indication otherwise. Indeed, the steps in such processes or methods generally can be carried out in various different sequences and orders while still falling within the scope of the present invention. Accordingly, it is intended that the scope of patent protection is to be defined by the issued claim(s] rather than the description set forth herein.

[0036] Additionally, it is important to note that each term used herein refers to that which an ordinary artisan would understand such a term to mean based on the contextual use of the term herein. To the extent that the meaning of a term used herein — as understood by the ordinary artisan based on the contextual use of such term — differs in any way from any particular dictionary definition of such term, it is intended that the meaning of the term as understood by the ordinary artisan should prevail.

[0037] Regarding applicability of 35 U.S.C. § 112 (f), no claim element is intended to be read in accordance with this statutory provision unless the explicit phrase "means for” or "step for”Attorney Docket No.: 90-10-007is actually used in such claim element, whereupon this statutory provision is intended to apply in the interpretation of such claim element.

[0038] Furthermore, it is important to note that, as used herein, "a” and "an” each generally denotes "at least one,” but does not exclude a plurality unless the contextual use dictates otherwise. When used herein to join a list of items, "or” denotes "at least one of the items,” but does not exclude a plurality of items of the list. Finally, when used herein to join a list of items, "and” denotes "all of the items of the list.”

[0039] The following detailed description refers to the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the following description to refer to the same or similar elements. While many embodiments of the disclosure can be described, modifications, adaptations, and other implementations are possible. For example, substitutions, additions, or modifications can be made to the elements illustrated in the drawings, and the methods described herein can be modified by substituting, reordering, or adding stages to the disclosed methods. Accordingly, the following detailed description does not limit the disclosure. Instead, the proper scope of the disclosure is defined by the appended claims. The present disclosure contains headers. It should be understood that these headers are used as references and are not to be construed as limiting upon the subject matter disclosed under the header.

[0040] The present disclosure describes systems and methods for delivering personalized coaching via artificial intelligence (Al) and gamified progression to support users in their personal development and relationship journeys. In one embodiment, the system comprises:

[0041] A user interface configured to receive user inputs and display content. The user interface can be implemented as a mobile application or web interface accessible via smartphones, tablets, or computers. The interface allows users to interact with the system, input information, view personalized content, and track their progress.

[0042] A database storing user profile data and content. The database securely stores user information such as assessment results, progress data, preferences, and interaction history. It also contains a library of coaching content, activities, and resources that can be delivered to users.

[0043] An Al coaching module can be configured to analyze user inputs and profile data, generate personalized coaching recommendations, and adapt recommendations based on user progress. The Al coaching module can utilize natural language processing and / or machineAttorney Docket No.: 90-10-007learning algorithms to understand user inputs, identify patterns and challenges, and provide contextually relevant guidance.

[0044] The Al coaching module can include a natural language processing component configured to analyze user text inputs and generate conversational responses. This allows for more natural interactions between the user and the Al coach. The module continuously learns from user interactions to improve its coaching capabilities over time.

[0045] A gamification module can be configured to track user activities and progress, award virtual rewards based on user achievements, and update user status within a multi-stage progression framework. The gamification module implements game-like elements to increase user engagement and motivation.

[0046] The gamification module can be configured to display a visual journey map showing user progress across stages, animate milestone achievements and stage advancements, and maintain user rankings on one or more leaderboards. This provides users with a clear visualization of their growth journey and creates friendly competition.

[0047] A content delivery module can be configured to provide stage-appropriate content to users based on their current progression stage. As users advance through the multi-stage framework, they unlock new content and resources tailored to their current level. The content delivery module can be configured to unlock additional content when users reach new stages and / or achieve specific milestones.

[0048] A quiz module can be configured to administer periodic assessment quizzes to users, analyze quiz results to determine user progression, and trigger stage advancements when quiz score thresholds are met. The quizzes can evaluate a user's emotional stability, relationship readiness, and / or mastery of stage-specific concepts. Quiz results hay help to inform the Al coaching recommendations and determine when a user is ready to progress to the next stage.

[0049] In some embodiments, the system further comprises a community engagement module configured to facilitate interactions between at least two users of the system, the at least two users defining a community, award points for community participation activities, and display community engagement scores for users. This fosters peer support and accountability.

[0050] The multi-stage progression framework can comprise a plurality of predefined stages, each stage associated with specific content, quizzes, and achievement criteria. For example, the stages can progress from foundational healing to advanced relationship mastery. Users must meet certain criteria to advance between stages.Attorney Docket No.: 90-10-007

[0051] The virtual rewards awarded by the gamification module can comprise at least one of digital badges, gems, icons, or access to exclusive content. These rewards provide positive reinforcement and visual indicators of progress.

[0052] In operation, the system receives user inputs via the user interface. These inputs can include responses to quizzes, journal entries, activity completions, and / or direct queries to the Al coach. The Al coaching module analyzes the user inputs along with the user's profile data and current stage to generate personalized coaching recommendations.

[0053] The gamification module tracks the user's activities and provides virtual rewards based on achievements. As a non-limiting example, completing a series of journaling activities can earn the user a "Self-Reflection Master" badge. The user's status within the multi-stage framework is updated as they make progress.

[0054] The content delivery module provides stage-appropriate content to the user based on their current progression stage. Early stages can focus on healing and self-discovery content, while later stages provide more advanced relationship skills training.

[0055] Periodically, the quiz module administers assessment quizzes to evaluate the user's progress. Quiz results are analyzed to determine if the user is ready to advance to the next stage. When quiz score thresholds are met, the system triggers a stage advancement, unlocking new content and challenges for the user.

[0056] Throughout the journey, the community engagement module facilitates supportive user interactions and awards points for participation. This creates a motivating social environment to complement the personalized coaching.

[0057] The system provides a comprehensive, engaging approach to personal development and relationship coaching by combining Al-powered personalization, gamified progression tracking, and community support. The multi-faceted approach aims to drive lasting transformation for users on their journey to healthier relationships and greater selfactualization.

[0058] The system can operate in various computing environments and utilize several types of computer systems for implementing the described embodiments. The computing environments and computer systems described herein should not be interpreted as having any dependency or requirement relating to any one component or combination of components illustrated in the exemplary operating environments / systems.

[0059] In some embodiments, the system can include an application configured to operate within a mobile device environment. The application can be implemented as a mobileAttorney Docket No.: 90-10-007application designed to run on smartphones, tablets, and / or other computing devices. The mobile application provides the primary user interface for interacting with the coaching system.

[0060] Components of the mobile environment can include, but need not be limited to: user interface components for displaying coaching content, progress tracking, and interactive elements; local data storage for caching user data and content; push notification integration for reminders and engagement prompts; camera and microphone access for multimedia journaling features; and biometric authentication (e.g. fingerprint, face ID) for secure login. The mobile application can communicate with backend services via secure Application Programing Interfaces (APIs). By way of example, the application can utilize HTTPS encryption for all data transfers. Offline functionality can be implemented to allow limited app usage without an internet connection.

[0061] The system can be implemented as one or more cloud-based microservices hosted on scalable cloud platforms such as (but not limited to) Amazon Web Services (AWS), Microsoft Azure, and / or Google Cloud Platform. Components of the cloud backend can include one or more of: user management and authentication services, a content management system (e.g., for storing and serving coaching materials), Al and / or machine learning services for providing personalized recommendations, data analytics and reporting services, an API gateway for mobile app communication, and / or database systems (e.g., for user data storage).

[0062] The cloud infrastructure can be designed for high availability and scalability, utilizing load balancers, auto-scaling groups, and geographically distributed data centers. Security measures such as encryption at rest and in transit, network isolation, and regular security audits can be implemented to protect user data.

[0063] The Al coaching capabilities of the system can be powered by a machine learning environment. The machine learning environment can include one or more of: a Natural language processing (NLP) model for understanding user inputs, a recommendation system for providing personalized content, a sentiment analysis module for emotional intelligence, an anomaly detection module for identifying potential user issues, and / or a reinforcement learning module for optimizing coaching strategies. The Al models used by the system can be trained using anonymized user data and curated coaching content. A combination of supervised and unsupervised learning techniques can be employed. The Al environment can utilize specialized hardware such as Graphics Processing Units (GPUs) and / or Tensor Processing Units (TPUs) for efficient model training and inference.Attorney Docket No.: 90-10-007

[0064] To support data-driven decision making and continuous improvement, the system can implement a robust data pipeline and analytics environment. This can include data ingestion services for collecting user interaction data, ETL (Extract, Transform, Load) processes for data preparation, data warehousing solutions for efficient querying and analysis, business intelligence and visualization tools, A / B testing frameworks, anomaly detection systems, and / or the like. The analytics environment can be designed to handle large volumes of data while ensuring data privacy and compliance with relevant regulations.

[0065] To facilitate ongoing development and quality assurance, the system can utilize a comprehensive development and testing environment. The development environment can support collaboration among distributed teams and enable rapid iteration and deployment of new features.

[0066] To support the creation and management of coaching content, the system can implement a dedicated content management system (CMS). The CMS can integrate with the Al system to enable dynamic content personalization and recommendation.

[0067] To facilitate user engagement and community building, the system can implement social and community features. The environment supporting these features can include user profile management systems, social graph databases, real-time or near real time messaging and notification services, content moderation tools, and / or the like. The community features can be designed with privacy and safety considerations, allowing users to control their visibility and interactions.

[0068] By leveraging these diverse computing environments and infrastructure components, the system can deliver a robust, scalable, and engaging coaching experience to users. The modular architecture allows for ongoing enhancement and optimization of individual components while maintaining overall system integrity.

[0069] This comprehensive system combines Al-powered personalization, gamified progression tracking, and community support to drive lasting transformation in users' personal development and relationships. The modular architecture allows for ongoing enhancement and optimization of individual components while maintaining overall system integrity.

[0070] The present system provides several technical advantages over existing systems.

[0071] The Al coaching module analyzes user inputs and profile data to generate tailored recommendations. Unlike static coaching programs, the Al coaching model continuously adaptsAttorney Docket No.: 90-10-007its guidance based on the user's progress and changing needs. This allows for a highly personalized experience that evolves over time.

[0072] The gamification module tracks user activities and awards virtual rewards based on achievements. This gamified approach increases user engagement and motivation compared to traditional coaching methods. The multi-stage progression framework with unlockable content provides clear goals and a sense of accomplishment.

[0073] The quiz module administers periodic assessments and analyzes results to determine user progression. This data-driven approach ensures users advance through stages only when they have demonstrably mastered the necessary skills and mindsets. The use of score thresholds for advancement provides an objective measure of progress.

[0074] The system tracks progress across emotional stability, love blocks, feminine energy, dating quality, relationship quality, and financial management. This comprehensive approach addresses interconnected aspects of a user's life, providing a more holistic path to growth than single-focus coaching programs.

[0075] The community engagement module facilitates user interactions and awards points for participation. This gamified social component leverages peer support and accountability to drive progress. The ability to display community engagement scores creates positive reinforcement.

[0076] The content delivery module provides stage-appropriate resources based on the user's current progression level. This ensures users receive relevant information and exercises tailored to their specific needs and readiness, optimizing the learning experience.

[0077] The system incorporates various interaction modes like journaling, meditation, affirmations, and quizzes. Progress is visualized through animated icons, journey maps, and milestone celebrations. This multimodal approach caters to different learning styles and reinforces progress.

[0078] By leveraging Al and gamification, the system can provide personalized coaching at scale. This overcomes limitations of traditional one-on-one coaching in terms of accessibility and cost-effectiveness.

[0079] The comprehensive tracking across multiple domains allows for advanced data analytics. This can provide valuable insights into patterns of personal growth and relationship development.Attorney Docket No.: 90-10-007

[0080] The multi-stage progression system with customizable content, quizzes, and achievement criteria allows for flexibility in adapting the coaching journey to different contexts or target audiences.

[0081] By combining these technical elements, the invention creates an engaging and effective approach to personal development and relationship coaching. The integration of Al, gamification, and data-driven progression provides advantages in personalization, engagement, and measurable outcomes compared to existing solutions.

[0082] The present disclosure includes many aspects and features. Moreover, while many aspects and features relate to, and are described in, the context of a coaching system, embodiments of the present disclosure are not limited to use only in this context.I. PLATFORM OVERVIEW

[0083] This overview is provided to introduce a selection of concepts in a simplified form that are further described below. This overview is not intended to identify key features or essential features of the claimed subject matter. Nor is this overview intended to be used to limit the claimed subject matter's scope.

[0084] The coaching system is an innovative mobile app that aims to help women improve their relationships and personal growth through personalized coaching powered by artificial intelligence (Al). The app combines several elements:1. Al-powered coaching: The app uses advanced Al to analyze each user's unique situation and provide tailored advice and guidance, similar to having a personal relationship coach available 24 / 7.2. Gamified progression system: Users advance through different stages of personal growth, earning points, badges and rewards as they complete activities and make progress. This game-like structure helps keep users motivated and engaged.3. Personalized content: The app delivers customized videos, exercises, affirmations and other content based on the user's current stage and needs.4. Progress tracking: Users can track improvements in areas like emotional stability, self-confidence, and relationship skills through quizzes and self-assessments.5. Community features: The app includes ways for at least two system users to connect with and support each other on their personal growth journeys, the at least two system users defining a community.6. Structured growth journey: Users move through defined stages, from healing past traumas to building healthy relationships, with guidance tailored to each stage.Attorney Docket No.: 90-10-007

[0085] Al-driven personalization, proven coaching techniques, and gamification elements are combined into one comprehensive system for relationship and personal development. This provides a more engaging, accessible and effective alternative to traditional self-help books or generic advice apps.

[0086] By leveraging technology, the coaching system aims to make quality relationship coaching and personal growth support available to more users in an interactive, motivating format. The app adapts to each user's unique needs and progress to provide an empowering personal development experience.

[0087] Embodiments of the present disclosure can comprise methods, systems, and a computer readable medium comprising, but not limited to, at least one of the following:A. A User InterfaceB. A Storage SystemC. An Al Coaching ModuleD. A Gamification ModuleE. A Content Delivery ModuleF. A Quiz Module

[0088] In some embodiments, the present disclosure can provide an additional set of modules for further facilitating the software and hardware platform. The additional set of modules can comprise, but not be limited to:G. A Community Engagement ModuleH. An Al User Tier Advancement Readiness Assessment Module (AIUTARAM)

[0089] Details with regards to each module are provided below. Although modules are disclosed with specific functionality, it should be understood that functionality can be shared between modules, with some functions split between modules, while other functions duplicated by the modules. Furthermore, the name of each module should not be construed as limiting upon the functionality of the module. Moreover, each component disclosed within each module can be considered independently, without the context of the other components within the same module or different modules. Each component can contain functionality defined in other portions of this specification. Each component disclosed for one module can be mixed with the functionality of other modules. In the present disclosure, each component can be claimed on its own and / or interchangeably with other components of other modules.

[0090] The following depicts an example of a method of a plurality of methods that can be performed by at least one of the aforementioned modules, or components thereof. VariousAttorney Docket No.: 90-10-007hardware components can be used at the various stages of the operations disclosed with reference to each module. For example, although methods can be described to be performed by a single computing device, it should be understood that, in some embodiments, different operations can be performed by different networked elements in operative communication with the computing device. For example, at least one computing device 300 can be employed in the performance of some or all of the stages disclosed with regard to the methods. Similarly, an apparatus can be employed in the performance of some or all of the stages of the methods. As such, the apparatus can comprise at least those architectural components as found in computing device 300.

[0091] Furthermore, although the stages of the following example method are disclosed in a particular order, it should be understood that the order is disclosed for illustrative purposes only. Stages can be combined, separated, reordered, and various intermediary stages can exist. Accordingly, it should be understood that the various stages, in various embodiments, can be performed in orders that differ from the ones disclosed below. Moreover, various stages can be added or removed without altering or departing from the fundamental scope of the depicted methods and systems disclosed herein.

[0092] Consistent with embodiments of the present disclosure, a method can be performed by at least one of the modules disclosed herein. The method can be embodied as, for example, but not limited to, computer instructions which, when executed, perform the method. The method can comprise the following stages:• receiving user inputs via a user interface;• analyzing the user inputs and user profile data using an Al coaching module to generate personalized coaching recommendations;• tracking user activities and progress using a gamification module;• awarding virtual rewards based on user achievements;• updating user status within a multi-stage progression framework;• providing stage-appropriate content to users based on their current progression stage;• administering periodic assessment quizzes to users;• analyzing quiz results to determine user progression; and• triggering stage advancements when quiz score thresholds are met.

[0093] Although the aforementioned method has been described to be performed by the platform (system) 100, it should be understood that computing device 300 can be used to perform the various stages of the method. Furthermore, in some embodiments, differentAttorney Docket No.: 90-10-007operations can be performed by different networked elements in operative communication with computing device 300. For example, a plurality of computing devices can be employed in the performance of some or all of the stages in the aforementioned method. Moreover, a plurality of computing devices can be configured much like a single computing device 300. Similarly, an apparatus can be employed in the performance of some or all stages in the method. The apparatus can also be configured much like computing device 300.

[0094] Both the foregoing overview and the following detailed description provide examples and are explanatory only. Accordingly, the foregoing overview and the following detailed description should not be considered to be restrictive. Further, features or variations can be provided in addition to those set forth herein. For example, embodiments can be directed to various feature combinations and sub-combinations described in the detailed description.II. PLATFORM CONFIGURATION

[0095] FIG. 1 illustrates one possible operating environment through which a platform consistent with embodiments of the present disclosure can be provided. By way of non-limiting example, a coaching system or platform 100 can be hosted on, for example, a cloud computing service. In some embodiments, the platform (system) 100 can be hosted on a computing device 300. A user can access platform (system) 100 through a software application and / or hardware device. The software application can be embodied as, for example, but not be limited to, a website, a web application, a desktop application, and a mobile application compatible with the computing device 300.

[0096] With reference to Figure 1, the platform (system) 100 can include a user interface 110 configured to receive user inputs and display content to a user. The user interface 110 can be implemented as a mobile application or web interface accessible via a user device such as a smartphone, tablet, or computer.

[0097] The platform (system) 100 can further include a storage system 120 for storing user profile data, progress information, and coaching content. The storage system 120 can be implemented using secure cloud storage to protect sensitive user information.

[0098] An artificial intelligence (Al) coaching module 130 can be configured to analyze user inputs and profile data from the database 120. Based on this analysis, the Al coaching module 130 can generate personalized coaching recommendations tailored to the user's current stage and needs. The Al coaching module 130 can utilize natural language processing and machineAttorney Docket No.: 90-10-007learning algorithms to provide contextually relevant responses and adapt its recommendations based on the user's progress over time.

[0099] A gamification module 140 can be configured to track user activities and progress within the system. The gamification module 140 can award virtual rewards such as badges, gems, or icons based on user achievements. Additionally, the gamification module 140 can update the user's status within a multi-stage progression framework as they complete milestones and advance through different levels.

[0100] The platform (system) 100 can also include a content delivery module 150 configured to provide stage-appropriate content to users based on their current progression stage. This can include serving up relevant videos, articles, affirmations, or exercises tailored to reinforce learning at each stage of the user's journey.

[0101] A quiz module 160 can be configured to administer periodic assessment quizzes to users. The quiz module 160 can analyze quiz results to determine user progression and trigger stage advancements when predefined score thresholds are met. This allows for objective measurement of the user's growth and readiness to move to more advanced stages.

[0102] Finally, a community engagement module 170 can be included to facilitate interactions between at least two users of the platform (system) 100, the at least two users defining a community. This module 170 can enable users to connect with accountability partners, participate in group challenges, and engage in community discussions. The community engagement module 170 can award points for participation in community activities, further gamifying the experience.

[0103] In operation, a user can interact with the platform (system) 100 via the user interface 110, inputting information and engaging with content. The Al coaching module 130 can analyze this input along with the user's profile and progress data to generate personalized recommendations. As the user completes activities and makes progress, the gamification module 140 can award virtual rewards and update their status. The content delivery module 150 serves up relevant content based on the user's current stage, while the quiz module 160 periodically assesses their progress. Throughout the journey, the community engagement module 170 can facilitate connections with other users for added support and motivation.

[0104] Accordingly, embodiments of the present disclosure provide a software and hardware platform comprised of a distributed set of computing elements.Attorney Docket No.: 90-10-007A. A User Interface 110

[0105] In embodiments, the platform (system) 100 can include a user interface 110. The user interface 110 can include hardware and / or software configured to provide a graphical user interface for interacting with the coaching platform (system) 100. The user interface 110 can include various screens and elements to display content, receive user input, and provide an engaging experience for users as they progress through the coaching program.

[0106] In some embodiments, the user interface 110 can include a home screen that provides an overview of the user's current status and progress. The home screen can display the user's current stage in the coaching program. The homes screen can also show progress bars or other visual indicators of the user's advancement through different categories. As particular examples, the categories can include emotional stability, love blocks, and / or feminine energy. However, those of skill in the art will recognize that more, fewer, and / or different categories can be included.

[0107] The user interface 110 can include a dashboard section that displays the user's earned badges, gems, and / or other virtual rewards. This gamification element can provide visual motivation and reinforcement of the user's accomplishments. The dashboard can also show streaks for consistent daily activities such as (but not limited to) journaling or meditation.

[0108] A calendar or schedule view can be provided in the user interface 110 to help users track upcoming activities, challenges, and milestones within the coaching platform (system) 100. The calendar can include daily affirmations, scheduled meditation sessions, or reminders for journaling prompts.

[0109] The user interface 110 can feature a content library where users can access content including videos, articles, guided meditations, and / or other educational materials. The content can be organized by topic and / or stage, with new content unlocking as the user progresses through various stages. In some embodiments, content associated with previous stages can be removed as the user progresses beyond that stage. Alternatively, the user can retain content associated with previous stages as they progress.

[0110] An interactive journal section can be included in the user interface 110, allowing users to record their thoughts, feelings, and reflections. The journal can include prompts tailored to the user's current stage and / or challenges. Users can have the option to attach photos, videos, and / or voice memos to their entries.

[0111] The user interface 110 can provide a dedicated space for interacting with the Al coaching assistant. This can include a chat interface where users can ask questions and receiveAttorney Docket No.: 90-10-007personalized advice. The Al assistant's responses can be displayed in a conversational format, potentially with options for users to select follow-up questions or topics.

[0112] A community section can be incorporated into the user interface 110, allowing users to connect with others at similar stages in their journey. This can include discussion forums, the ability to share progress updates, and features for finding accountability partners.

[0113] The user interface 110 can include a profile section where users can view and edit their personal information, preferences, and goals. This section can also display a summary of the user's progress and achievements over time.

[0114] A settings menu can be provided in the user interface 110, allowing users to customize their experience. This can include options for notification preferences, privacy settings, display customization, and / or the like.

[0115] In some embodiments, the user interface 110 can include a visualization tool that allows users to create and interact with vision boards or other graphical representations of their goals and desires.

[0116] The user interface 110 can provide a dedicated space for quiz -taking, where users can complete periodic assessments to gauge their progress and potentially advance to new stages.

[0117] A financial tracking section can be included in the user interface 110, allowing users to set financial goals, track expenses, and visualize their progress towards financial stability and growth.

[0118] The user interface 110 can incorporate animations and visual effects to celebrate user achievements, such as completing a stage or earning a badge or other virtual reward. These animations can provide positive reinforcement and enhance the gamified experience.

[0119] In some embodiments, the user interface 110 can include a dating profile builder and management tool, helping users create and refine their online dating profiles as they progress through the program. The online dating profile builder can interface with other applications (e.g., dating applications) outside the platform (system) 100.

[0120] The user interface 110 can provide a scheduling tool for booking live (e.g., in-person, or via phone or video chat) coaching sessions, participating in group workshops, and / or the like, integrating seamlessly with the user's progress in the program.

[0121] A notification center can be included in the user interface 110, keeping users informed of new content, community activity, personalized reminders based on their goals and progress, etc.Attorney Docket No.: 90-10-007

[0122] The user interface 110 can feature a progress visualization tool, allowing users to view their growth over time across different categories and stages of the program.

[0123] In some embodiments, the user interface 110 can include augmented reality (AR) features, such as (but not limited to) the ability to project affirmations or visualizations into the user's environment using their device's camera.

[0124] The user interface 110 can provide accessibility options to ensure the app is usable by individuals with various needs, including text-to-speech functionality, color contrast adjustments, and font size options.B. A Storage System 120

[0125] The platform (system) 100 can include a storage system 120. The storage system 120 can include hardware and / or software configured to store user profile data, content, and / or progress information. The storage system 120 can include one or more databases, data stores, and / or other data storage mechanisms.

[0126] The storage system 120 can include a user profile database for storing information about each user of the platform (system) 100. This can include basic user information (e.g., name, age, location, etc.). In embodiments, the user information can further include more detailed profile data related to the user's relationship history, goals, preferences, and progress through the program stages. The user profile database allows the system to maintain a comprehensive record for each user that can be accessed and updated as they progress.

[0127] The storage system 120 can include a content database for storing the various coaching materials, videos, affirmations, meditation guides, and other content used in the program. This allows the system to efficiently retrieve and deliver relevant content to users based on their current stage and / or needs.

[0128] The storage system 120 can include a progress tracking database to record users' performed activities, quiz results, milestone achievements, and overall advancement through the program stages. This database can enable the platform (system) 100 to analyze user progress over time and provide appropriate recommendations and / or rewards (e.g., virtual rewards, badges, etc.).

[0129] To help ensure data security and privacy, the storage system 120 can employ encryption, access controls, and other cybersecurity best practices. User data can be anonymized where possible. In some embodiments, user data can be securely backed up to help prevent loss.Attorney Docket No.: 90-10-007

[0130] The storage system 120 can be implemented using scalable cloud storage technologies to accommodate a growing user base. The system 120 can utilize a combination of relational databases for structured data and NoSQL databases for unstructured content. In some embodiments, the databases can be optimized for fast retrieval and / or updates.

[0131] The storage system 120 serves as the central repository for user data and content data, enabling the personalized and adaptive nature of the platform (system) 100. The storage system 120 can be designed to allow for efficient data management, analysis, and / or retrieval to power various components of the platform (system) 100, including (but not limited to) the Al coaching module 130 and gamification module 140.C. An Al Coaching Module 130

[0132] In embodiments, the platform (system) 100 can include an Al coaching module 130. The Al coaching module 130 can include hardware and / or software configured to analyze user inputs and profile data to generate personalized coaching recommendations. The Al coaching module 130 can adapt its recommendations based on user progress over time.

[0133] The Al coaching module 130 can utilize one or more (e.g., several) advanced Al algorithms and techniques to analyze user inputs, generate personalized recommendations, and adapt based on user progress:

[0134] The Al coaching module 130 can employ NLP techniques to process and understand user text inputs, such as journal entries, chat messages, or responses to prompts. In particular, sentiment analysis algorithms can be used to gauge the emotional tone and content of user inputs. This allows the system to assess the user's current emotional state and tailor recommendations accordingly. Named entity recognition and topic modeling can help identify key themes, people, or events mentioned by users to provide more contextually relevant coaching. Word embeddings and semantic analysis techniques can enable the system to grasp nuanced meanings and make inferences beyond literal text.

[0135] The core of the Al coaching functionality can rely on machine learning models trained on large datasets of coaching interactions, psychological principles, and relationship dynamics. Supervised learning models like neural networks or decision trees trained to map user inputs and profile data to appropriate coaching responses and recommendations. Reinforcement learning algorithms that optimize coaching strategies over time based on user engagement and progress metrics. Clustering and classification models to categorize users into archetypes or stages to inform high-level coaching approaches. The Al coaching module 130Attorney Docket No.: 90-10-007can implement one or more supervised learning models, one or more reinforcement learning algorithms, and / or one or more clustering and classification models.

[0136] To generate personalized content and activity recommendations, the Al coaching module 130 can leverage collaborative filtering and content-based recommendation algorithms. These can take into account factors such as user profile data and preferences, historical engagement patterns, similarity to other users, content metadata and tags, adaptive learning, and / or the like.

[0137] The Al coaching module 130 can periodically or continuously refine its models and recommendations. For example, the module 130 can utilize online learning techniques to incrementally update models as new user data becomes available, - A / B testing of different coaching approaches to identify effective strategies, and / or periodic retraining on aggregated and anonymized user data to capture emerging patterns and trends.

[0138] To determine appropriate coaching interventions, the Al can, in some embodiments, utilize one or more of rule-based expert systems encoding coaching best practices and decision trees, Bayesian inference to reason probabilistically about user states and optimal actions, and / or multi-armed bandit algorithms to balance exploration of new strategies with exploitation of known effective approaches. The Al coaching module 130 can combine these techniques in an ensemble approach, with a meta-learning layer to dynamically adjust the weighting and application of different algorithms based on their performance for individual users and scenarios. This allows for a highly adaptive and personalized coaching experience.

[0139] The training data for the Al models can be derived from anonymized user interaction logs, expert-labeled datasets of coaching dialogues, psychological literature, and simulated coaching scenarios. Rigorous data preprocessing, feature engineering, and model validation processes would be employed to ensure the Al recommendations are accurate, ethical, and beneficial to users.

[0140] By leveraging these advanced Al capabilities, the platform (system) 100 can provide users with an intelligent, empathetic, and dynamically personalized coaching experience to support their relationship and personal growth journey.

[0141] In some embodiments, the Al coaching module 130 can comprise a natural language processing (NLP) component configured to analyze user text inputs and generate contextually relevant responses. This allows the module to engage in more natural conversational interactions with users.Attorney Docket No.: 90-10-007

[0142] The Al coaching module 130 can be configured to process user inputs from the user interface, including text responses, quiz answers, and activity logs. NLP can be used to analyze text inputs like journal entries, chat messages, and / or quiz responses. This allows the Al to understand user sentiment, challenges, and progress. Emotional intelligence capabilities can be used to detect user mood and provide appropriate emotional support.

[0143] The natural language processing component of the Al coaching module 130 can be configured to analyze user text inputs and generate contextually relevant responses. The natural language processing component can utilize deep learning models, such as transformers or recurrent neural networks, trained on large corpora of conversational data to understand the semantic meaning and intent behind user text inputs. Techniques like named entity recognition, sentiment analysis, and topic modeling can be used to extract key information from user messages. The NLP component can maintain context across multiple user interactions by tracking conversation history and user profile information. The NLP component can leverage transfer learning from pre-trained language models that have been fine-tuned on relationship coaching data to generate appropriate responses. Multi-task learning can be used to simultaneously perform intent classification, entity extraction, and response generation. Prompt engineering and in-context learning can help the NLP component to provide more targeted and personalized responses.

[0144] The NLP component can use retrieval-augmented generation techniques, referencing a knowledge base of relationship advice to inform its responses. Safety checks and content filtering can be implemented to help ensure that the generated responses are appropriate and beneficial. The NLP component can leverage techniques like controlled text generation to tailor the tone, style and / or content of responses to each user's preferences and stage in their journey. Reinforcement learning can allow the NLP component to improve its responses based on user feedback and engagement metrics over time.

[0145] In some embodiments, the module 130 can detect the user's emotional state based on user input. For example, the NLP component can incorporate one or more algorithms to analyze text inputs from the user's journal entries, chat messages, and other text interactions within the app. The NLP component can use sentiment analysis techniques to detect emotional tone and classify the user's emotional state. Where the user uploads video or images, the module 130 can integrate facial recognition and emotion detection capabilities using the device's camera. The module 130 can analyze facial expressions present in the video or selfie uploads to infer the user's emotional state. In some embodiments (e.g., where the user uploadsAttorney Docket No.: 90-10-007a voice recording), the Al coaching module 130 can utilize voice analysis technology to detect emotions from voice recordings or audio messages, and / or analyze speech patterns, tone, pitch, and other vocal characteristics to determine emotional state. The system can incorporate physiological data from wearable devices (if available), such as heart rate variability, skin conductance, and sleep patterns, to infer emotional states. The platform can implement a multi-modal emotion recognition system that fuses data from multiple sources (text, voice, facial, physiological) to produce a more robust assessment of emotional state.

[0146] Machine learning models trained on labeled emotional data can be implemented to improve emotion detection accuracy over time as more user data is collected. The platform (system) 100 can allow users to manually input their emotional state at regular intervals, which can be used to calibrate and validate the automated emotion detection.

[0147] Safeguards and escalation protocols can be implemented for detecting potential mental health issues requiring professional intervention. For example, the module 130 can flag potential issues that can require intervention from a human coach, such as (but not limited to) thoughts of self-harm, threats to others, and / or any other dangerous or unhealthy behaviors.

[0148] Machine learning algorithms can identify patterns in user data and generate tailored advice. The Al can adapt its recommendations based on the user's stage, goals, and previous interactions. The module 130 can integrate with the gamification and progression systems to align coaching with the user's current stage and motivate continued engagement.

[0149] The module 130 can access a knowledge base of relationship psychology, personal development concepts, and coaching best practices to provide evidence-based guidance. A personalization engine can create or provide customized content recommendations, affirmations, exercises and / or the like based on the user's unique profile and journey.

[0150] User inputs can be analyzed to track progress over time and adapt coaching accordingly. Continuous learning algorithms can allow the Al coach to improve its efficacy over time based on aggregate user data.

[0151] The Al coach can generate conversational responses to enable natural back-and-forth interactions with users. In embodiments, the responses generated by the module 130 can be empathetic, with a goal of aligning with the user's emotional state. The module 130 can offer motivational messages to encourage continued engagement.

[0152] -In embodiments, the Al coaching module 130 can analyze the user's profile data, progress metrics, and historical interactions. The module 130 can apply machine learning algorithms to identify patterns and insights based on the user profile data and / or the userAttorney Docket No.: 90-10-007input. Tailored coaching advice, affirmations, and / or activity recommendations can be generated based on the user input, profile data, progress metrics, and / or historical interactions.

[0153] The Al couching module 130 can include an affirmation generation component configured to create personalized affirmations and / or mantras for users. The affirmation generation component can analyze user profile data, quiz results, and / or other inputs to inform the content of the affirmations. For example, if a user's profile indicates low self-esteem, the module can generate affirmations focused on self-worth and confidence.

[0154] The affirmation generation component can incorporate the user's current emotional state when creating affirmations. This can be determined through sentiment analysis of the user's journal entries, responses to check-in prompts, or other inputs. For instance, if the user is feeling anxious, the module can generate calming affirmations to address that emotional state.

[0155] In some implementations, the affirmation generation component can utilize natural language processing and machine learning algorithms to create personalized affirmations. The module 130 and the affirmation component can be trained on a large corpus of affirmations and mantras, learning patterns and structures. The component can apply this learning to generate new affirmations and mantras tailored to each user's needs and goals.

[0156] The affirmation generation process can involve several steps. First, the component can analyze the user's profile, stage, and recent activity to determine key themes or focus areas. Next, the generation component can select relevant affirmation templates or structures from training data. The component can complete the templates with personalized content based on the user's specific situation. Finally, the generated affirmations can be refined for impact and relevance.

[0157] As an example, for a user in the early stages focused on healing past trauma, the component can generate an affirmation like: "I release the pain of my past and open my heart to love and joy." For a user working on career confidence, it can create: "I am worthy of success and approach my work with confidence and skill."

[0158] The affirmation generation component can leverage various Al and / or machine learning techniques in its processes. This can include natural language processing for analyzing user inputs, sentiment analysis for gauging emotional states, and / or generative models for creating novel affirmation content. The module 130 can learn and improve its affirmation generation capabilities based on user feedback and engagement data.Attorney Docket No.: 90-10-007

[0159] In some implementations, the affirmation generation component can work in conjunction with other system components to enhance its effectiveness. For example, it can coordinate with the Al coaching module 130 to align generated affirmations with current coaching recommendations. It can also interface with the gamification module 140 to create affirmations that support specific challenges or milestones the user is working towards.

[0160] The affirmation generation component can be configured to produce affirmations in various formats to suit user preferences. This can include text-based affirmations for reading or journaling, audio recordings for listening, or even visual representations for meditation exercises. The component can adapt its output based on the user's preferred learning style and / or the context in which the affirmations will be used.

[0161] To help ensure the relevance and impact of generated affirmations, the component can incorporate feedback mechanisms. Users can be prompted to rate the helpfulness of affirmations or indicate how well they resonate. This feedback can be used to refine the affirmation generation algorithms and improve personalization over time.

[0162] The affirmation generation component can be designed to create sequences or sets of affirmations that work together to address specific goals or challenges. For instance, the component can generate a week-long series of affirmations focused on building self-confidence, with each day's affirmation building upon the previous ones.

[0163] In some embodiments, the affirmation generation component can include cultural sensitivity features. It can be programmed to consider cultural backgrounds and preferences when generating affirmations, ensuring that the language and concepts used are appropriate and meaningful for diverse user groups.

[0164] The component can be configured to generate affirmations at various intervals, such as daily or weekly. Additionally or alternatively, the affirmation generation component can generate affirmations in response to specific triggers or user requests. This flexibility allows for timely and relevant affirmation delivery based on the user's needs and engagement patterns.

[0165] The Al coaching module 130 can adapt its coaching approach based on the user's changing needs, and / or user progress over time.

[0166] The module 130 can leverage a knowledge base of coaching best practices, relationship psychology, and personal development techniques. This allows the module 130 to draw upon expert knowledge in formulating recommendations.Attorney Docket No.: 90-10-007

[0167] To protect user privacy, the Al coaching module 130 can be designed with robust security measures. User data can be encrypted and access to sensitive information can be restricted.

[0168] The capabilities of the Al coaching module 130 can be periodically or continuously upgraded or improved over time. For example, the module 130 can use analysis of aggregated, anonymized user data and outcomes. This allows the system to refine its coaching strategies based on what approaches are most effective.D. A Gamification Module 140

[0169] The platform [system) 100 can include a gamification module 140. The gamification module 140 can include hardware and / or software configured to track user activities, award virtual rewards, and update user status within a multi-stage progression framework.

[0170] In some embodiments, the gamification module 140 can implement a multi-stage progression framework that maps out a growth journey associated with a user. The progression framework can include a series of stages, such as: Stage 1: Foundations of Healing; Stage 2: Awakening Feminine Energy; Stage 3: Strengthening Self-Worth; and so on. Those of skill in the art can recognize that more, fewer, or different stages can be presented, and that stages can be reordered without departing from the scope of this invention. Each stage can be associated with specific content, challenges, and achievement criteria.

[0171] The gamification module 140 can grant virtual rewards to users for completing activities, reaching milestones, and / or completing stages. The virtual rewards can include (but need not be limited to) digital badges, gems, icons, and / or other visual indicators of achievement. For example, the module 140 can award a "Healing Heart Badge" when a user completes emotional release exercises in Stage 1.

[0172] In some implementations, the gamification module 140 can maintain leaderboards and rankings to foster friendly competition among users. The leaderboards can rank users based on factors such as number of completed activities, badges earned, or quiz scores. Users can be able to view their rank compared to others at the same stage.

[0173] The gamification module 140 can track streaks to encourage consistent daily engagement. For example, the module can track and display the number of consecutive days a user has completed their daily affirmations and / or journaling exercises. Maintaining longer streaks can unlock additional virtual rewards.Attorney Docket No.: 90-10-007

[0174] In some embodiments, the gamification module 140 can implement unlockable content and features as users advance through stages. For example, completing Stage 1 can unlock access to new meditations and / or coaching content in Stage 2. This can provide additional motivation for users to progress, as well as aiding users with progress across multiple stages.

[0175] The gamification module 140 can provide visual progress indicators such as journey maps or animated milestone celebrations. A journey map can visually display the user's progress across stages, with icons lighting up as milestones are achieved. The module can trigger animated sequences to celebrate when a user reaches a milestone and / or advances to a new stage.

[0176] In some implementations, the gamification module 140 can implement a points system for quantifying and rewarding various user activities. Points can be awarded for actions like completing daily exercises, participating in community discussions, taking quizzes, and / or achieving quiz scores. Accumulating points can allow users to level up or unlock rewards.

[0177] The gamification module 140 can present challenges and quests to users to provide short-term goals and variety. For example, a weekly challenge can task users with practicing boundary-setting exercises for 7 consecutive days. Completing challenges can award bonus points and / or special badges.

[0178] The gamification module 140 can track user activities and achievements, update users’ status, and grant appropriate rewards. The gamification module 140 can communicate with other modules, including the Al coaching module 130 and the content delivery module 150 to gamify the entire coaching experience.E. A Content Delivery Module 150

[0179] In embodiments, the platform (system) 100 can include a content delivery module 150. The content delivery module 150 can include hardware and / or software configured to provide stage-appropriate content to users based on their current progression stage. The module 150 can access a content database (e.g., in the storage system 120) storing various types of content such as video files, audio files, image files, text-based materials, and / or interactive exercises.

[0180] The content delivery module 150 can interface with the Al coaching module 130 and / or the gamification module 140 to determine the most relevant content for each user.Attorney Docket No.: 90-10-007Based on a user's current stage, recent activity, and / or personalized goals, the module 150 can curate a customized content playlist.

[0181] The module 150 can employ machine learning algorithms to analyze user engagement data and optimize content recommendations over time. Metrics (e.g., completion rates, time spent, user ratings, etc J can help to identify the most effective content for each stage and / or for each individual user.

[0182] Dynamic content unlocking can be implemented by the module 150. For example, as a user progresses through milestones and / or stages, new videos, exercises, and / or other resources can become available to the user, providing motivation for continued engagement and helping to ensure that content is not provided until the content addresses a particular aspect the user is currently working on.

[0183] The content delivery module 150 can facilitate interactive content experiences. This can include, as examples, guided journaling prompts, fillable worksheets, and / or choose-your-own-adventure style exercises tailored to each user's journey.

[0184] Personalized daily content plans can be generated by the module 150, suggesting a balanced mix of videos, reading materials, and exercises aligned with the user's goals and schedule. Push notifications can be used to remind users of new available content, and / or of user content consumption goals.

[0185] The content delivery module 150 can be configured to provide highly personalized content to each user based on their current stage, preferences, and engagement patterns. This personalization can go beyond simply delivering stage-appropriate content and can incorporate multiple data points to create a tailored experience for each individual user.

[0186] The content delivery module 150 can analyze user data stored in the user profile database of the storage system 120 to inform content selection and customization. This user data can include, but need not be limited to quiz responses and scores, activity completion rates, engagement patterns (e.g. time spent on different content types), self-reported preferences, demographic information, stated goals and challenges, and / or the like.

[0187] Based on the user data, the content delivery module 150 can employ machine learning algorithms to identify patterns and make predictions about what types of content are likely to be most effective and engaging for each specific user. For example, if a user consistently engages more with video content than written content, the module can prioritize video-based activities and lessons for that user.Attorney Docket No.: 90-10-007

[0188] The content delivery module 150 can factor in the user's emotional state and readiness for different types of content. This can be determined through natural language processing of the user's journal entries, analysis of their quiz responses, or other data points. For instance, if a user appears to be in a more vulnerable emotional state, the module can suggest gentler, more supportive content rather than challenging exercises.

[0189] Additionally, the content delivery module 120 can adapt based on the user's progress and growth over time. As a user advances through stages and demonstrates mastery of certain concepts, the module can introduce more advanced or nuanced content related to those topics. Conversely, if a user is struggling with a particular area, the module can provide additional supportive content and exercises focused on that challenge.

[0190] The content delivery module 150 can incorporate elements of spaced repetition, strategically reintroducing key concepts at intervals to reinforce learning and promote longterm retention. This spaced repetition can be personalized based on each user's demonstrated retention and application of different concepts.

[0191] To further enhance personalization, the content delivery module 150 can employ A / B testing methodologies. Different content variations can be presented to users, and their engagement and outcomes can be tracked. Over time, this data can be used to refine and improve content delivery for maximum effectiveness.

[0192] The content delivery module 150 can take one or more external factors into account that can impact a user's engagement or emotional state. For example, the module 150 can take into account the time of day, day of the week, or even external events (such as holidays) that can influence a user's mindset or availability. Content suggestions can be adjusted accordingly to maximize relevance and impact.

[0193] In some embodiments, the content delivery module 150 can incorporate collaborative filtering techniques. By analyzing patterns across users with similar profiles or challenges, the module 150 can identify content that has been particularly effective for similar users and / or users undergoing similar challenges, and can recommend that content to the current user.

[0194] The personalization provided by the content delivery module 150 can extend to the presentation and framing of content as well. The module 150 can adjust the tone, language, and even visual elements of content to align with each user's preferences and communication style. For instance, for a user who responds well to direct, action -oriented language, content can beAttorney Docket No.: 90-10-007framed in more assertive terms. For a user who prefers a more nurturing approach, the same concepts can be presented with softer, more supportive language.

[0195] Through this multi-faceted approach to personalization, the content delivery module 150 can create a highly tailored and responsive coaching experience for each individual user. This tailored experience can increase user engagement, retention, and / or overall effectiveness of the platform (system) 100.

[0196] The content delivery module 150 can enable content sharing and discussion features, allowing users to reflect on materials with accountability partners or in community forums. This social learning component can enhance content engagement and retention.

[0197] In some embodiments, the content delivery module 150 can incorporate accessibility features to help ensure content is available to users with diverse needs. This can include, for example, closed captioning, transcripts, adjustable playback speeds, and / or screen reader compatibility.

[0198] The content delivery module 150 can track content consumption patterns. Reports regarding content consumption can be provided to users and / or coaches. These insights can inform coaching strategies and help users identify areas for additional focus and / or types of content that particularly resonate with them.F. A Quiz Module 160

[0199] In embodiments, the platform (system) 100 can include a quiz module 160. The quiz module 160 can include hardware and / or software configured to administer periodic assessment quizzes to users of the coaching platform (system) 100. The quiz module 160 can be configured to generate and present quizzes to users at predetermined intervals, such as weekly, monthly, and / or the like. The quizzes can be designed to assess the user's current stage of progress in their personal development and relationship journey. Each quiz can include a set of questions focused on different categories relevant to the user's growth, such as emotional stability, love blocks, feminine energy, date quality, relationship quality, and financial management. Those of skill in the art will recognize that more, fewer, and / or different categories can be used without departing from the scope of the invention.

[0200] In some embodiments, the quiz module 160 can generate quizzes with a set number (e.g., 10) of questions per category. The questions can be presented to the user over a period of multiple days, with a subset of the questions given each day. This spaced presentation can helpAttorney Docket No.: 90-10-007prevent user fatigue, allow time for reflection between question sets, and minimize the effect of variations in a user’s mood or mindfulness.

[0201] The quiz module 160 can utilize a rating scale for user responses, such as a 1-5 scale where 1 indicates strong disagreement and 5 indicates strong agreement with a given statement. The module 160 can be configured to calculate category scores based on the user's responses.

[0202] To analyze quiz results, the quiz module 160 can compare the user's category scores to threshold values. For example, where a category has a maximum score potential of 50, scores of 40-50 points can indicate strong alignment with the characteristics of the user's current stage, while scores of 30-39 can indicate moderate alignment and scores below 30 can suggest a need for additional work in that category.

[0203] The quiz module 160 can be configured to determine overall user progression based on the category scores. For example, if all category scores are above a certain threshold (e.g. 40 points], the module 160 can determine the user is ready to advance to the next stage. However, if any category score falls below the threshold, the module 160 can determine the user should remain at their current stage and focus on improvement in that area.

[0204] In some embodiments, the quiz module 160 can communicate quiz results to other components of the platform (system) 100, such as the Al coaching module 130 and / or the gamification module 140. This score communication can allow other modules to adjust their outputs and recommendations based on the user's latest assessment results. For example, where user scores are low in one particular category, the gamification module 140 can focus content on that particular category.

[0205] The quiz module 160 can be configured to provide feedback to users on their quiz performance. This feedback can include visualizations of the user's scores in each category, comparisons to previous quiz results to show progress over time, and / or suggestions for areas of focus based on the scores.

[0206] To support the gamified aspects of the platform (system) 100, the quiz module 160 can award virtual rewards or unlock special content based on quiz performance. For example, achieving high scores across all categories can unlock a special badge or content item related to the category and / or the user's current stage.

[0207] The quiz module 160 can utilize adaptive questioning techniques, adjusting the difficulty or focus of questions based on the user's previous responses (e.g., previous responses in the same quiz and / or in past quizzes) and / or overall progress (e.g., stage and milestoneAttorney Docket No.: 90-10-007completion) in the system. This adaptability can help to ensure that the quizzes remain challenging and relevant as the user advances through the stages of their journey.

[0208] In some implementations, the quiz module 160 can include safeguards to maintain the integrity of the assessment process. This can include randomizing question order, implementing time limits, or utilizing question banks to prevent users from memorizing specific questions and answers.

[0209] The quiz module 160 can be designed with accessibility in mind, offering features such as text-to-speech for questions, customizable font sizes, and / or color contrast options to accommodate users with different needs.

[0210] Data collected by the quiz module 160 can be securely stored (e.g., using the storage system 120) and can contribute to the overall understanding of user progress and trends as managed by the platform (system) 100. This aggregated data, properly anonymized, can be used to refine and improve the coaching algorithms and content recommendations over time.

[0211] The quiz module 160 provides regular, comprehensive assessments. These assessments are useful for the platform (system) 100 to offer personalized, adaptive coaching and track user progress through their personal development journey.G. A Community Engagement Module 170

[0212] In some embodiments, the platform (system) 100 can optionally include a community engagement module 170. The community engagement module 170 can include hardware and / or software configured to facilitate user interactions and social connections within the platform (system) 100. The module 170 can include hardware and / or software components configured to enable various community features and functionalities.

[0213] In some embodiments, the community engagement module 170 can include a user profile component. This component can allow users to create and customize their public profiles within the community using the platform (system) 100. User profiles can display information such as (but not limited to) the user's current stage in their journey, badges earned, milestones achieved, and / or other accomplishments. Users can have control over what information is shared publicly.

[0214] The community engagement module 170 can include a social feed component. The social feed component can generate and display a personalized feed of community activity for each user. The feed can show posts, comments, and updates from other users, with a focus on content relevant to the viewing user's current stage, areas of focus, and / or interests. The socialAttorney Docket No.: 90-10-007feed can use algorithms to prioritize and filter content to provide an engaging and supportive experience.

[0215] In some implementations, the community engagement module 170 can feature a groups component. The groups component can enable creation and management of smaller sub -communities within the larger platform community. Groups can be organized around specific topics, stages, and / or shared interests (which can be unrelated to the platform (system] 100]. The groups component can provide tools for group discussions, file sharing, and / or collaborative activities.

[0216] The community engagement module 170 can incorporate a messaging component to facilitate direct communication between users. This component can support one-on-one and group messaging, allowing users to connect privately for support, accountability partnerships, and / or general conversation.

[0217] A challenges component can be included in the community engagement module 170. The challenges component can create and manage community-wide challenges or competitions. Challenges can be designed to encourage user engagement, promote healthy habits, and / or foster a sense of community. The challenges component can track participation and progress in the challenge, display leaderboards, and / or distribute virtual rewards (e.g., badges, gems, etc.] to participants.

[0218] In some embodiments, the community engagement module 170 can feature an events component. The events component can facilitate organization and promotion of (virtual or in-person] events related to personal development and relationship coaching. The events component can include features for event registration, reminders, and post-event discussion and / or feedback collection.

[0219] The community engagement module 170 can include a moderation component to help promote a safe and supportive community environment. The moderation component can use automated filters and / or human moderation to monitor user-generated content, enforce community guidelines, and address any issues or conflicts that arise within the community.

[0220] The community engagement module 170 can integrate with the gamification module 140 to award points, badges, or other rewards for community participation, encouraging active engagement and contribution to the community.

[0221] In some implementations, the community engagement module 170 can feature an analytics component. The analytics component can track and analyze community engagement metrics, providing insights into user behavior, popular topics, and overall community health.Attorney Docket No.: 90-10-007These analytics can be used to inform platform improvements and identify areas for enhanced community support.

[0222] The community engagement module 170 can include an API integration component to allow for connections with external social platforms or community tools. This component can enable features like dating profile updates, social media sharing, integration with third-party community management software, and / or the like. In some embodiments, the community engagement module 170 can incorporate a mentorship component. This component can facilitate mentorship connections between users at different stages of their journey, allowing more experienced users to provide guidance and support to those earlier in their development.H. An Al User Tier Advancement Readiness Assessment Module 180

[0223] In some embodiments, the platform (system) 100 can optionally include an Al User Tier Advancement Readiness Assessment Module (AIUTARAM) 180. Readiness reflects whether a user has actually integrated the objectives of a given tier - not merely passed a quiz. Evaluating whether a user has satisfied extra-quiz readiness criteria ensures that user advancement, content access, and tier recommendations are not determined solely by quiz scores or static thresholds. Instead, the AIUTARAM 180, working in tandem with associated modules of the platform (system) 100, evaluates readiness signals derived from a combination of internal state indicators and observed behavioral patterns over time.

[0224] The AIUTARAM 180 can include hardware and / or software configured to apply Al to analyze several types of user inputs, including behavioral readiness data, emotional readiness data, and financial readiness data, and to calculate a composite readiness score, based upon all such data received, the composite readiness score indicating a user’s readiness to advance to a higher program tier. The AIUTARAM 180 then determines whether the user has satisfied extra-quiz predetermined advancement readiness criteria, i.e., advancement readiness criteria other than quiz results. Correlating such user input data to calculate the composite readiness score enables the platform (system) 100 to determine not merely what a user wants, but also what a user is realistically prepared to sustain when undergoing the programs made available by the platform (system) 100. Additionally, the AIUTARAM 180 can be in operative communication with the quiz module 160 and / or the content delivery module 150 for the purpose of reporting the results of the readiness determination. The content delivery module 150 and / or quiz module 160 can unlock content to the user related to,Attorney Docket No.: 90-10-007depending on the results reported to either or both of them by the AIUTARAM 180, either a higher program tier or reinforcement.

[0225] As a result of applying extra-quiz advancement readiness criteria, advancement can be delayed (known as "rate modulation”] even if quiz thresholds are met. Partial progression or preparatory content can be unlocked instead of full stage advancement. Tier recommendations and Call-To-Action (CTA) buttons presented to the user via the user interface module 110 can be modified or deferred (suppressed), or substitute recommendations and CTA buttons can be presented to the user, until extra-quiz readiness conditions are satisfied. Further, tier recommendations can even be adjusted upward or downward based on the composite readiness score.

[0226] The three exemplary types of user input data that can by analyzed by the AIUTARAM 180 - namely, behavioral readiness data, emotional readiness data, and financial readiness data - are discussed below.

[0227] Behavioral readiness data is derived from monitoring the user’s interactions with the platform (system) 100. Several interaction parameters can contribute to behavioral readiness data, including:• Engagement consistency. This behavioral parameter reflects baseline behavioral regularity across time, as opposed to sporadic or episodic activity. Non-limiting examples of how engagement consistency can be measured include: (1) frequency of session completions within defined time windows, e.g., "X” activities per week across "Y” weeks; (2) completion of required exercises without prolonged inactivity gaps; and (3) repeated voluntary engagement with reflective or reinforcement content beyond minimum requirements.• Behavioral consistency indicating internalized identify shift. This parameter differs from engagement consistency, discussed above. Whereas engagement consistency gauges frequency and regularity of the user’s activity, "behavioral consistency indicating internalized identity shift” gauges the qualitative stability of behavior patterns. Such patterns include: (1) reduced oscillation between conflicting behaviors (e.g., stop-start cycles); (2) sustained adherence to new behaviors without prompts; (3) decreased reliance on corrective interventions; and (4) lower variance in sentiment trends following previously destabilizing content. The platform (system) 100 can operationalize this parameter using trend analysis, variance thresholds, or compositeAttorney Docket No.: 90-10-007readiness scores derived from multiple inputs, the computation of such scores discussed herein with regard to FIG. 6.• Stability or convergence of assessment responses. This behavioral parameter evaluates the degree of a user’s variance across repeated self-reported inputs over time. Such self-reported inputs can be, for example, follow-up assessments, periodic checkins, journaling or reflective inputs, and micro-surveys embedded within various program tiers. Convergence (stability), indicates internal alignment rather than fluctuating self-perception. Alignment compares what the user reports (for example, beliefs, readiness, emotional state) against what the user actually does, behaviorally, in his or her interactions with the platform (system) 100. Convergence occurs when (1) self- reported values trend toward consistent ranges, and (2) contradictions across inputs diminish over time.• Observed in-app behavior. This behavioral parameter generally refers to non- emotional behavioral signals, such as completion timing, navigation paths, avoidance or repetition of specific modules, premature exits or skipped exercises, time-to-completion metrics, pattern recognition across modules, and repeated engagement with the same reinforcement content.• Demonstrated completion of prerequisite tier objectives. Such an objective, as distinct from a quiz score, is a defined behavioral or cognitive milestone associated with a specific tier. Non-limiting examples include completion of a defined percentage of required activities; demonstrated engagement with reflective or embodiment exercises; evidence of reduced avoidance behaviors; completion of specific "boss battle,” simulation, or mastery tasks; and consistent journaling or self-reporting aligned with the tier’s purpose.

[0228] Emotional readiness data results from the above-discussed emotional state detection, which concerns affective signals derived from sentiment analysis, emotional selfreporting, NLP analysis of journal entries added to the platform (system) 100, and optional audio / video analysis. Sources of emotional readiness data that can be analyzed by the AIUTARAM 180 include:• A sentiment trend, which refers to directional movement in emotional tone over time (e.g., increasingly regulated, increasingly volatile, stabilizing).Attorney Docket No.: 90-10-007• Volatility across inputs, which refers to: (1) rapid emotional swings across journaling, assessments, or check-ins, and (2) contradictory emotional indicators in close temporal proximity.

[0229] Financial readiness data can be derived from such sources as initial assessment inputs, optional budget or investment-comfort prompts, consistence of financial self-reporting across time, and historical purchasing behavior within the platform (system) 100. Prior purchasing behavior can be evaluated for such characteristics as commitment consistency, abandonment patterns, and premature escalation or repeated downgrading. Analysis of financial readiness data can be performed by the Al coaching module 130, including its recommendation formulation logic, and / or the AIUTARAM 180.III. PLATFORM OPERATION

[0230] Embodiments of the present disclosure provide a hardware and software platform operative by a set of methods and computer-readable media comprising instructions configured to operate the aforementioned modules and computing elements in accordance with the methods. The following depicts an example of at least one method of a plurality of methods that can be performed by at least one of the aforementioned modules. Various hardware components can be used at the various stages of operations disclosed with reference to each module.

[0231] For example, although methods can be described as being performed by a single computing device, it should be understood that, in some embodiments, different operations can be performed by different networked elements in operative communication with the computing device. For example, at least one computing device 300 can be employed in the performance of some or all of the stages disclosed with regard to the methods. Similarly, an apparatus can be employed in the performance of some or all of the stages of the methods. As such, the apparatus can comprise at least those architectural components found in computing device 300.

[0232] Furthermore, although the stages of the following example method are disclosed in a particular order, it should be understood that the order is disclosed for illustrative purposes only. Stages can be combined, separated, reordered, and various intermediary stages can exist. Accordingly, it should be understood that the various stages, in various embodiments, can be performed in arrangements that differ from the ones described below. Moreover, various stages can be added or removed from the without altering or departing from the fundamental scope of the depicted methods and systems disclosed herein.Attorney Docket No.: 90-10-007A. Master Method 200

[0233] Consistent with embodiments of the present disclosure, a method can be performed by at least one of the aforementioned modules. Embodiments of the methods and systems are described below with reference to block diagrams of methods, systems, and apparatuses. It will be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by program instructions. These program instructions may be programmed into programmable processing elements to produce logic that executes on the processing elements to create means for implementing the functions specified in the block or blocks, which describe and reference specific algorithms and inherent structure for accomplishing the functions as described and further explained herein.

[0234] FIG. 2 is a flow chart setting forth the general stages involved in a method 200 consistent with an embodiment of the disclosure for providing the coaching platform (system) 100. Method 200 can be implemented using a computing device 300 or any other component associated with platform (system) 100 as described in more detail below with respect to FIG.3. For illustrative purposes alone, computing device 300 is described as one potential actor in the following stages.

[0235] Method 200 can begin at stage 205 where computing device 300 can receive user inputs via a user interface 110. The user interface 110 can be configured to display content and receive various types of user input, including text responses, quiz answers, and activity logs. The user interface 110 can be implemented as a mobile application accessible via smartphones, tablets, or other computing devices. In embodiments, the use input can include text input, video input, images, and / or audio input.

[0236] Method 200 can then proceed to stage 210 where computing device 300 can generate one or more personalized coaching recommendations. In embodiments, the personalized coaching recommendations can be based on an analysis of the user inputs received at stage 205 and / or user profile data. The analysis can be performed using the Al coaching module 130. The Al coaching module 130 can utilize natural language processing and machine learning algorithms to understand user inputs, identify patterns and challenges, and provide contextually relevant guidance. The Al coaching module 130 can access a knowledge base of relationship psychology, personal development concepts, and / or coaching best practices to generate evidence-based recommendations tailored to the user's unique profileAttorney Docket No.: 90-10-007and journey. Other steps performed at stage 210 are discussed in greater detail herein with regard to FIG. 4.

[0237] At stage 215, computing device 300 can track user activities and progress using the gamification module 140. The gamification module 140 can be configured to monitor completion of daily activities, achievement of milestones, and overall advancement through the multi-stage progression framework.

[0238] Method 200 can then advance to stage 220 where computing device 300 can award virtual rewards based on user achievements. For example, the rewards can be granted based on the output of the gamification module 140 used to track the user activities in stage 215. The virtual rewards can include digital badges, gems, icons, or access to exclusive content. As one specific, non-limiting example, completing a series of journaling activities can earn the user a "Self-Reflection Master" badge.

[0239] At stage 225, computing device 300 can update a user status within a multi-stage progression framework. The multi-stage framework can comprise a plurality of predefined stages, each associated with specific content, quizzes, and achievement criteria. As users complete activities and meet milestones, their status can be updated to reflect progress through the stages.

[0240] Method 200 can proceed to stage 230 where computing device 300 can provide stage-appropriate content to users based on their current progression stage. The content delivery module 150 can unlock additional content when users reach new stages and / or achieve specific milestones. Early stages can focus on healing and self-discovery content, while later stages provide more advanced relationship skills training.

[0241] The computing device 300 can determine stage-appropriate content and tailor delivery based on a user's current progression stage. The quiz module 160 can analyze the user's quiz scores, activity completion rates, and other metrics to determine their current stage in the personal growth journey. Each stage can have associated threshold scores that indicate readiness for that level. All content in the platform (system) 100 can be tagged with metadata indicating which stage(s) it is appropriate for. For example, introductory self-care content can be tagged for early stages, while advanced relationship-building content can be tagged for later stages.

[0242] Based on the user's assessed stage, the computing device 300 can query the content database to retrieve content tagged as appropriate for that stage. It can use algorithms to select a mix of content types (e.g. videos, exercises, meditations) that align with the user's currentAttorney Docket No.: 90-10-007needs and goals. The computing device 300 can determine a sequence for delivering selected content, considering factors such as, but not limited to, building on previous lessons and maintaining user engagement. It can adjust this sequence based on the user's interaction patterns and feedback.

[0243] New content can be unlocked and made available as the user completes activities and reaches certain milestones within their current stage. This creates a sense of progression and achievement. The complexity and depth of content can be scaled to match the user's growing capabilities as they advance through stages. Early stage content can focus on foundational concepts, while later stages introduce more nuanced topics.

[0244] The computing device 300 can analyze the user's recent activity, emotional state (based on journal entries or check-ins), and stated goals to recommend the most relevant content from the stage-appropriate pool. Stage-specific challenges or exercises can be provided or generated, with difficulty and focus areas tailored to the user's current progression level and identified areas for growth.

[0245] In some embodiments, as a user approaches the threshold for advancing to the next stage, the computing device 300 can begin introducing some content from the upcoming stage to create a smooth transition and maintain engagement.

[0246] For users at advanced stages, the Al coaching module 130 can generate highly personalized content prompts or exercises based on their unique journey and challenges, going beyond pre-created content.

[0247] The community engagement module 170 can recommend stage-appropriate community interactions, such as joining discussion groups or participating in challenges with users at a similar level.

[0248] By implementing these methods, the computing device 300 can provide users with a highly personalized and stage-appropriate learning experience throughout their journey on the platform.

[0249] In some aspects of the present disclosure, as denoted by the dotted flow lines of FIG.2, prior to advancing from stage 230 to stage 235, method 200 can optionally branch to stage 233, where the platform (system) 100 assesses whether the user has met extra-quiz predetermined advancement readiness criteria; i.e., advancement readiness criteria other than quiz results. If the user has met those extra-quiz criteria, then method 200 advances from stage 233 to stage 235; otherwise, the user mustengage with reinforcement content to advance from stage 233. Steps performed at stage 233 are discussed in greater detail with regard to FIG. 6.Attorney Docket No.: 90-10-007

[0250] At stage 235, computing device 300 can administer assessment quizzes to users. The computing device can be configured to deliver quizzes at predetermined intervals to evaluate the user's emotional stability, relationship readiness, and mastery of stage-specific concepts. In some embodiments, the quizzes can be administered periodically, such as once per month. In other embodiments, the quizzes can be administered sporadically, such as in response to a user request to take the quiz. The quiz can be administered over the course of multiple sessions and / or multiple days.

[0251] The quiz can be designed to assess the user's progress. The quiz can include a set of questions related to various categories of behavior and emotional state, including (but not limited to) emotional stability, love blocks, feminine energy, date quality, relationship quality, and financial management ability. Each category can contain 10 questions, for a total of 60 questions in the full assessment.

[0252] The user can respond to each question on a scale of 1 to 5, where 1 indicates strong disagreement and 5 indicates strong agreement. Computing device 300 can calculate a score for each category by summing the responses to the 10 questions in that category. The total possible score per category can be 50 points.

[0253] The computing device 300 can be configured to administer periodic assessment quizzes, such as on a monthly basis. This allows computing device 300 to track the user's progress over time and provide appropriate guidance and support. In some embodiments, the frequency of assessments can be adjusted based on the user's stage and / or rate of progress. As users progress to more advanced stages, the quiz questions and scoring requirements can become more nuanced to reflect higher levels of emotional intelligence and relationship mastery.

[0254] To support the gamification aspects, computing device 300 can award special badges or gems when users achieve high scores across all quiz categories. For example, scoring 40 or above in every category can unlock a Golden Heart Gem, signaling readiness for the next stage.

[0255] Computing device 300 can store quiz results and progress data securely in the user's profile. This historical data can be used to generate visualizations of the user's growth journey and inform future coaching recommendations. Authorized coaches or administrators can also access this data to provide additional personalized support.

[0256] In some embodiments, computing device 300 can employ adaptive testing techniques, adjusting the difficulty and focus of questions based on the user's previousAttorney Docket No.: 90-10-007responses and current stage. This allows for a more precise assessment of the user's strengths and growth areas.

[0257] The quiz module can also include safeguards to maintain the integrity of the assessment process. For example, computing device 300 can implement time limits, randomize question order, or include attention check questions to ensure users are responding thoughtfully and accurately.

[0258] By leveraging this comprehensive quiz and scoring system, computing device 300 can provide users with an objective measure of their progress while ensuring they advance through stages at an appropriate pace for their individual growth journey.

[0259] Method 200 can then advance to stage 240, where computing device 300 can analyze quiz results to determine user progression. The quiz module can compare the user's scores to advancement criteria, such as (but not limited to) predefined thresholds for each category and stage. The advancement criteria and scoring thresholds can be customized for each stage of the user's journey.

[0260] Computing device 300 can analyze the category scores to determine if the user is ready to advance to the next stage. In some embodiments, advancement criteria can require the user score to be at least 80% of the available points in each category (e.g., for a category with 50 available points, the user must score 40 or higher). If any category score is below the threshold value, the computing device 300 can determine the user should remain at their current stage.

[0261] In addition to meeting the minimum score threshold, computing device 300 can evaluate other factors before recommending stage advancement. For example, computing device 300 can consider the user's overall average score across all categories, completion of milestone tasks, consistency in daily activities tracked through the gamification module, and / or the like.

[0262] If a user's scores indicate they are not yet ready to advance, computing device 300 can generate personalized recommendations for areas of focus. These recommendations can include specific content, exercises, or coaching interventions tailored to the categories where the user scored lowest.

[0263] Finally, at stage 245, computing device 300 can trigger stage advancements when quiz score thresholds are met. If a user's scores meet or exceed the thresholds for their current stage, the system can automatically advance them to the next stage, unlocking new content andAttorney Docket No.: 90-10-007challenges. Steps performed at stage 245 are discussed in greater detail herein with regard to FIG. 5.

[0264] In some embodiments, method 200 can include additional stages. For example, computing device 300 can facilitate user interactions within the community engagement module 170. This module 170 can allow users to connect with accountability partners, participate in group challenges, and engage in community discussions. Points can be awarded for community participation activities, and community engagement scores can be displayed for users.

[0265] The Al coaching module 130 can continuously learn from user interactions to improve its coaching capabilities over time. The platform [system) 100 can analyze aggregated, anonymized user data and outcomes to refine coaching strategies based on what approaches are most effective.

[0266] To protect user privacy, the platform [system) 100 can implement robust security measures such as encryption of user data, restricted access to sensitive information, and regular security audits.

[0267] The methods and procedures described above can be implemented using various computing environments and computer systems. The computing environments can include mobile device environments, cloud-based microservices hosted on scalable cloud platforms, and dedicated Al processing units for machine learning algorithms. The system architecture can be designed for high availability and scalability, utilizing load balancers, auto-scaling groups, and geographically distributed data centers.B. Steps Performed at Stage 210 of the Master Method 200

[0268] FIG. 4 is a flow chart of steps performed in stage 210 of FIG. 2 [generating personalized coaching recommendations).

[0269] The quiz module 160 [FIG. 1) can be further configured to administer an initial assessment [such as a love success assessment) containing a battery of questions for a user to answer, including at least a first question directed to the user’s budget and a second question directed to the user’s personal relationship characteristics. At step 400, the Al coaching module 130 conducts an analysis of the user’s responses to the initial assessment. Next, at step 402, the Al coaching module 130, responsive to the analysis, assigns a user archetype to the user, the user archetype selected from a plurality of stored archetypes. The stored archetypes can comprise names that are each paired with at least one unique personal relationship characteristic, i.e., a personal relationship characteristic not shared with any other storedAttorney Docket No.: 90-10-007archetype. Table 1 below provides an example of archetypes and associated personal relationship characteristics.Table 1

[0270] The quiz module 160 (FIG. 1) can be still further configured to administer a multiday challenge (such as a five-day love success challenge) to the user. User inputs received by the platform (system) 100 via the user interface module 110 (FIG. 1) can include an indication as to whether the user has completed the multi-day challenge. A Central Processing (CPU) core 321 (Fig. 3) within a CPU 320 of the computing device 300 can include a challenge completion flag, such as a flag named "challenge_day5_completed,” that can be set to "true” when the user completes the multi-day challenge. At step 404, the quiz module 160 determines whether this flag is "true” and thus whether the user completed the multi-day challenge. A "no” answer to that question keeps the stage 210 waiting at step 404. A "yes” answer to that question causes the stage 210 to advance to step 406.

[0271] At step 406 of FIG. 4, the change in the setting of the "challenge_day5_completed” flag to "true” can cause the Al coaching module 130 to send a communication to the user asking the user to, via the user interface module 110, select a coaching preference for a program to be administered or facilitated by the platform (system) 100. The coaching preference can be either a self-guided program or a personal coaching program. The platform (system) 100 can then receive, as a user input, the user’s coaching preference. Another flag in a CPU core 321, such as one titled "coachingjnterest,” can be set to "true” to indicate that the user indicated interest in a personal coaching program or "false" if the user instead indicated interest in a self-guided program.Attorney Docket No.: 90-10-007

[0272] At step 408 of FIG. 4, the Al coaching module 130 formulates the personalized coaching recommendation by determining an initial program tier based upon the user’s coaching preference (from the above user input received) and budget (from the initial assessment), and by selecting an initial tier recommendation script according to both the initial program tier and the user archetype. Different initial tier recommendation scripts corresponding to different budget ranges, archetypes, and coaching preference combinations can be stored in an appropriate memory unit within the host 115 (FIG. 1) and / or the computing unit 300. The personalized coaching recommendation recommends a program selected from a group consisting of at least two self-guided programs and at least two personal coaching programs, the at least two self-guided programs and the at least two personal coaching programs together organized into tiers, with the personal coaching programs comprising upper tiers and the self-guided programs comprising lower tiers. Table 2 below provides an example of program tiers and the associated budget ranges and coaching responses, with the tiers listed in descending order.Table 2"<

[0273] At step 410 of FIG. 4, with the Al coaching module 130 having thus formulated a personalized coaching recommendation, the Al coaching module 130 publishes, via the user interface module 110, a first call-to-action (CTA) button to the user, the first CTA button reciting a caption common to all tiers, such as "Reveal My Prescription" or "Reveal My Plan.” A module of the platform (system) 100, such as the Al coaching module 130, can additionally publish customized upsell script to accompany the first CTA button. The upsell script can be customized according to archetype. For instance, upsell script directed to an Amethyst archetype can read:You’ve done something sacred this week. You opened the door to emotional safety, softness, and self-trust. As an Amethyst Archetype, I know how hard that first step can be. But now that you’ve begun, your soul is ready for more.Your Prescription is the Elite 90-Day Journey™ — the deep healing containerAttorney Docket No.: 90-10-007you need to release trauma, rebuild trust, and finally attract love that feels safe. Are you ready for your next level?The upsell script can be generated by the Al coaching module 130, using the Al techniques discussed herein, to customize a communication to the user that is specific to the user’s archetype and budget. The upsell script can also employ emotionally resonant language derived by an Al application used in the platform [system] 100. As used herein, the term "publish” encompasses various methods of presenting a communication, button, or hyperlink to a user of the platform (system] 100 via the interface module 110. As it concerns CTA buttons or operative hyperlinks, "publish” means to visually present a CTA button or link to the user. As it concerns a script, "publish” includes displaying the script to the user as text, playing an audio or audiovisual clip reciting the script, and / or presenting an animated avatar verbally reciting the progression script, either with or without accompanying text.

[0274] Next, at step [decision block] 412, the platform (system] 100 determines whether, the user has clicked the first CTA button. If no clicking of the first CTA button initially occurs, such as if the user selects a "not now” button or fails to respond at all within a predetermined period of time following publication of the first CTA button (or some other suitable event], the stage 210 branches to step 414, where the platform (system] 100 determines that the first CTA button has not been clicked and sets a relevant flag, such as one named "upsell_postponed,” to "true.” Next, atstep 416 of that branch, the platform (system] 100 sends a follow-up (reminder] message to the user in an attempt to prompt the user to click the first CTA button, and stage 210 then returns to the decision block 412 to repeat the determination therein. A continued lack of a click of the first CTA button can result in a repeat of steps 414 and 416 or, if a predetermined maximum number of messaging attempts in step 416 has already been reached, ending stage 210 at end block 418. In some embodiments, end block 418 can represent the end of the master method 200 (FIG. .2],

[0275] If, however, the user has clicked the first CTA button, the "upsell_postponed” is set to "false,” and stage 210 proceeds to step 420, where the Al coaching module 130 publishes, via the user interface module 110, the initial tier recommendation script selected by the Al coaching module 130 at step 408. Such publication can take the same forms discussed above with regard to step 410. At step 420, the user interface 110 can also publish, along with the initial tier recommendation script: [i] a second, tier-specific CTA button; [ii] at least one payment option for the user to pay for accessing the program identified in the tier recommendation script; [iii] an archetype-dependent add-on script; and [iv] bonus-relatedAttorney Docket No.: 90-10-007information providing an incentive for the user to respond to the initial tier recommendation within a limited time, the bonus-related information customized according to the user archetype. The caption recited on the second CTA button can vary according to the initial tier recommended. For example, if the Al coaching module recommends the Diva in the Making™ tier, the CTA button can read: "Join Diva in the Making.” The archetype-dependent add-on script can include, for example, a success story for the user archetype and / or encouraging language such as, for a particular archetype and recommended tier: "Healing doesn’t have to take years. This self-guided path gives you the emotional safety and flexibility you need to rebuild from the inside-out.”

[0276] Next, at step 422, one or more modules of the platform [system) 100, such as the Al coaching module 130, determines whether the user has clicked the second [tier-specific) CTA button. Responsive to a clicking of the second CTA button by the user, stage 210 progresses to step 428, where the master method 200 [FIG. 2) advances to stage 215, and the platform [system) 100 provides the user withaccess to content in the initial program tier identified in the initial tier recommendation script. It is understood that the progression to step 428 can require the user to first render a payment, If, however, no clicking of the second CTA button initially occurs, such as if the user selects a "not now" button or fails to respond at all within a predetermined period of time following display of the second CTA button [or some other suitable event), the stage 210 branches to step 424, where the platform [system) 100 determines that the second CTA button has not been clicked and sets a relevant flag, such as one named "upsell_postponed,” to "true." Next, at step 426 of that branch, the platform [system) 100 sends a follow-up [reminder) message to the user in an attempt to prompt the user to click the second CTA button, and stage 210 then returns to the decision block 412 to repeat the determination therein. A continued lack of a click of the second CTA button can result in a repeat of steps 424 and 426 or, if a predetermined maximum number of messaging attempts in step 426 has already been reached, ending stage 210 at end block 418.C. Steps Performed at Stage 245 of the Master Method 200

[0277] FIG. 5 is a flow chart of steps performed in stage 245 of FIG. 2 [trigger stage advancement).

[0278] As explained above with regard to FIG. 2, at stage 240, the computing device 300 determines whether the user has completed his or her most recent program tier, by determining whether the user’s quiz results exceeded a predetermined threshold. For the first time that master method 200 reaches stage 240, the most recent program tier will be the user’sAttorney Docket No.: 90-10-007initial program tier. If the user has not yet completed the most recent tier, the master method 200 loops back to stage 205, the initial stage of the master method 200. If, however, the user has completed a tier, a flag within a CPU core 301 (FIG. 3) can be set accordingly; for example, a flag called "program_completed" can be set to "true.” Responsive to such a flag setting, the master method 200 progresses to stage 245.

[0279] As shown in FIG. 5, decision block 500 represents the first step of stage 245. At decision block 500, the platform (system) 100 determines whether the user has now completed the highest tier of available programs. If so, then stage 245 proceeds to step 502, where the platform (system) 100, through one or more modules such as the gamification module 140, tracks and rewards the user. Following step 502, stage 245 ends at the end block 418.

[0280] If, however, the user has not completed the highest tier of available programs, then stage 245 branches from decision block 500 to step 504, where the Al coaching module 130 generates a progression recommendation script recommending at least one program in a tier higher than any tier the user has completed. The progression recommendation script can vary according to the user’s progress and to the user archetype, and can be stored in locations having an address conforming to an exemplary format " / upgrade / [tier number] / [archetype].” For example, if the user has most recently completed the Elite 90-Day Love Success Program™, the progression recommendation text can recommend Diva University™ and Boss Diva University™ as alternative choices for a next program, and state, for a particular archetype: "You've done all the inner rewiring - now let’s integrate your transformation into your real-life strategy. I recommend either stepping into Diva University™ to master your energy at a higher level ... Or booking a private session to explore elite mentorship.” Such script can be published in any of the modes previously discussed with regard to publication of scripts by the platform (system) 100.

[0281] Also at step 504, the Al coaching module 130 can publish a third CTA button reciting a caption common to all remaining tiers and indicating progress to a next tier, such as "Show Me the Next Step." The stage 245 then progresses to decision block 506, where the Al coaching module 130 determines whether the user has clicked the third CTA button.

[0282] Responsive to a clicking of the third CTA button by the user, stage 245 progresses from decision block 506 to step 512, where the master method 200 loops back to stage 205 (FIG. 2), and the platform (system) 100 provides the user with access content in the ensuing program tier identified in the progression recommendation script. It is understood that the progression to step 512 can require the user to first render a payment. If, however, no clickingAttorney Docket No.: 90-10-007of the third CTA button initially occurs, such as if the user selects a "not now” button or fails to respond at all within a predetermined period of time following display of the third CTA button (or some other suitable event], the stage 245 branches to step 508, where the platform (system] 100 determines that the third CTA button has not been clicked and sets a relevant flag, such as one named "upsell_postponed,” to "true.” Next, at step 510 of that branch, the platform (system] 100 sends a follow-up (reminder] message to the user in an attempt to prompt the user to click the third CTA button, and stage 245 then returns to the decision block 412 to repeat the determination therein. A continued lack of a click of the second CTA button can result in a repeat of steps 424 and 426 or, if a predetermined maximum number of messaging attempts in step 426 has already been reached, ending stage 245 at end block 418.D. Steps Performed at Optional Stage 233 of the Master Method 200

[0283] FIG. 6 is a flow chart of steps performed in optional stage 233 of FIG. 2 by a user tier advancement readiness assessment module (AIUTARAM] 180 and at least one of the Al coaching module 130, the content delivery module 150, and the quiz module 160 (FIG. 1], in the manner described below.

[0284] The user inputs referenced at stage 205 of FIG. 2 can include behavioral data, emotional data, and financial data, as described in Part II. H. above. The AIUTARAM 180 can be configured to employ Al to analyze each of these types of data. At step 600, the AIUTARAM 180 analyzes the behavioral data to determine a behavioral readiness score. Stage 233 then advances to step 602, where the AIUTARAM 180 analyzes the emotional data to determine an emotional readiness score. Next, stage 233 advances to step 604, where the AIUTARAM 180 analyzes the financial data to determine a financial readiness score. Stage 233 then proceeds to step 606, where the AIUTARAM 180 correlates the behavioral readiness score, the emotional readiness score, and the financial readiness score.

[0285] Next, stage 233 advances to decision block 608, where the AIUTARAM 180 determines whether calculation of the composite readiness score at step 606 is a first such calculation performed to assess whether the user is ready to advance from a current tier occupied by the user to a higher tier. With reference to a given tier, "current” refers to a moment in time at which recited action by the platform (system] 100, or one or more of its modules, is taken. Thus, for example, the "current” tier as to step 608 refers to the program tier occupied by the user at the time that the platform (system] 100, or one or more of its modules, determines whether the calculation of the composite readiness score at step 606 is a first suchAttorney Docket No.: 90-10-007calculation assessing whether the user is ready to advance from the current tier occupied by the user to a higher tier.

[0286] If the AIUTARAM 180 determines that the calculation of the composite readiness score is the first such calculation performed to assess whether the user is ready to advance from the user’s current tier to a higher tier, stage 233 advances from decision block 608 to decision block 610, where the AIUTARAM 180 reaches a conclusion as to whether readiness criteria have been satisfied. The conclusion at decision block 610 can reached by comparing the composite readiness score to a predetermined advancement readiness threshold.

[0287] If at decision block 610 the AIUTARAM 180 reaches a positive conclusion that the readiness criteria have been satisfied, stage 233 advances to step 612, where stage 233 ends and where the AIUTARAM 180 transmits the positive conclusion to the quiz module 160. At stage 235 (FIG. 2), responsive to receiving the positive conclusion from the AIUTARAM 180, the quiz module administers a periodic assessment quiz to the user.

[0288] If, however, at decision block 610 the AIUTARAM 180 reaches a negative conclusion that that the readiness criteria have not been satisfied, then stage 233 advances to step 614, where the AIUTARAM 180 transmits the negative conclusion to the content delivery module 150, and responsive to receiving the negative conclusion from the AIUTARAM 180, the content delivery module 150 unlocks reinforcement content for the user. From step 614, stage 233 proceeds to decision block 616, where the content delivery module 150 determines whether the user has completed reinforcement activities. If not, stage 233 simply loops back to the branch extending between step 614 and 616. Once, however, the content delivery module 150 determines that the user has completed the reinforcement activities, the content delivery module 150 causes the AIUTARAM 180 to re-calculate the composite readiness score, thereby causing stage 233 to branch from decision block 616 back to step 600. The content delivery module 150 can cause such action by, for example, sending a signal to the AIUTARAM 180 that the AIUTARAM 180 interprets as a command to re-execute steps 600-606.

[0289] The platform (system) 100 executes a different sequence of steps if, at decision block 608, the AIUTARAM 180 determines that the calculation of the composite readiness score at step 606 is not the first such calculation performed to assess whether the user is ready to advance from the user’s current tier to a higher tier. In that event, stage 233 branches to decision block 618, where the AIUTARAM 180 reaches a conclusion as to whether readiness criteria have been satisfied, the conclusion reached by comparing the composite readiness score to a predetermined advancement readiness threshold. If at decision block 618 theAttorney Docket No.: 90-10-007AIUTARAM 180 reaches a positive conclusion that the readiness criteria have been satisfied, then stage 233 branches to step 612, where the AIUTARAM 180 transmits the positive conclusion to the quiz module 160. At stage 235 (FIG. 2), responsive to receiving the positive conclusion from the AIUTARAM 180, the quiz module administers a periodic assessment quiz to the user.

[0290] If, however, at decision block 618 the AIUTARAM 180 reaches a negative conclusion that that the readiness criteria have not been satisfied, then stage 233 advances to delay block 620, where the AIUTARAM 180 transmits the negative conclusion to at least one of the Al coaching module 130 and the content delivery module 150. Responsive to receiving the negative conclusion from the AIUTARAM 180, the Al coaching module 130 and / or the content delivery module 150 impose a delay of a rate at which ensuing content is delivered to the user. Examples of advancement rate modulation that occurs at delay block 620 include: (1) increasing required engagement duration before advancement; (2) introducing additional reinforcement cycles; and (3) slowing down content unlock cadence. After imposing the delay, the Al coaching module 130 and / or the content delivery module 150 allow stage 233 to branch back to step 600, thereby causing the AIUTARAM 180 to re-calculate the composite readiness score by including data indicating changed circumstances that arose since the preceding calculation of that score by the AIUTARAM 180.IV. HARDWARE ARCHITECTURE

[0291] Embodiments of the present disclosure provide a hardware and software platform operative as a distributed system of modules and computing elements.

[0292] Platform (system 100 can be embodied as, for example, but not be limited to, a website, a web application, a desktop application, a backend application, and a mobile application compatible with a computing device 300. The computing device 300 can comprise, but not be limited to, the following:

[0293] Mobile computing device, such as, but is not limited to, a laptop, a tablet, a smartphone, a drone, a wearable, an embedded device, a handheld device, an Arduino, an industrial device, or a remotely operable recording device;

[0294] A supercomputer, an exascale supercomputer, a mainframe, or a quantum computer;

[0295] A minicomputer, wherein the minicomputer computing device comprises, but is not limited to, an IBM AS400 / iSeries / System I, A DEC VAX I PDP, an HP3000, a Honeywell-Bull DPS, a Texas Instruments Tl-990, or a Wang Laboratories VS Series;Attorney Docket No.: 90-10-007

[0296] A microcomputer, wherein the microcomputer computing device comprises, but is not limited to, a server, wherein a server can be rack-mounted, a workstation, an industrial device, a raspberry pi, a desktop, or an embedded device;

[0297] Platform (system) 100 can be hosted on a host 115, which can be either a centralized server or a cloud computing service 116. Although method 200 has been described to be performed by a computing device 300, it should be understood that, in some embodiments, different operations can be performed by a plurality of the computing devices 300 in operative communication on at least one network.

[0298] Embodiments of the present disclosure can comprise, with reference to FIG. 3, a computing device 300 having a central processing unit (CPU) 320, a bus 330, a memory unit 340, a power supply unit (PSU) 350, and one or more Input / Output (I / O) units. The CPU 320 is coupled to the memory unit 340 and the plurality of I / O units 360 via the bus 330, all of which are powered by the PSU 350. It should be understood that, in some embodiments, each disclosed unit can actually be a plurality of such units for redundancy, high availability, and / or performance purposes. The combination of the presently disclosed units is configured to perform the stages of any method disclosed herein.

[0299] FIG. 3 is a block diagram of a computing device 300. Consistent with an embodiment of the disclosure, the aforementioned CPU 320, the bus 330, the memory unit 340, a PSU 350, and the plurality of I / O units 360 can be implemented in a computing device, such as computing device 300 of FIG. 3. Any suitable combination of hardware, software, or firmware can be used to implement the aforementioned units. For example, the CPU 320, the bus 330, and the memory unit 340 can be implemented with computing device 300 or any of other computing devices 300, in combination with computing device 300. The aforementioned system, device, and components are examples and other systems, devices, and components can comprise the aforementioned CPU 320, the bus 330, and the memory unit 340, consistent with embodiments of the disclosure.

[0300] At least one computing device 300 can be embodied as any of the computing elements illustrated in all of the attached figures. A computing device 300 does not need to be electronic, nor even have a CPU 320, nor bus 330, nor memory unit 340. The definition of the computing device 300 to a person having ordinary skill in the art is "A device that computes, especially a programmable [usually] electronic machine that performs high-speed mathematical or logical operations or that assembles, stores, correlates, or otherwise processesAttorney Docket No.: 90-10-007information." Any device which processes information qualifies as a computing device 300, especially if the processing is purposeful.

[0301] With reference to FIG. 3, a system consistent with an embodiment of the disclosure can include a computing device, such as computing device 300. In some configurations, the computing device 300 can include at least one clock module 310, at least one CPU 320, at least one bus 330, and at least one memory unit 340, at least one PSU 350, and at least one I / O 360 module, wherein I / O module can be comprised of, but not limited to a non-volatile storage submodule 361, a communication sub-module 362, a sensors sub-module 363, and a peripherals sub-module 364.

[0302] In a system consistent with an embodiment of the disclosure, the computing device 300 can include the clock module 310, known to a person having ordinary skill in the art as a clock generator, which produces clock signals. Clock signals can oscillate between a high state and a low state at a controllable rate, and can be used to synchronize or coordinate actions of digital circuits. Most integrated circuits (ICs) of sufficient complexity use a clock signal in order to synchronize different parts of the circuit, cycling at a rate slower than the worst-case internal propagation delays. One well-known example of the aforementioned integrated circuit is the CPU 320, the central component of modern computers, which relies on a clock signal. The clock module 310 can comprise a plurality of embodiments, such as, but not limited to, a single-phase clock which transmits all clock signals on effectively 1 wire, a two-phase clock which distributes clock signals on two wires, each with non-overlapping pulses, and a four-phase clock which distributes clock signals on 4 wires.

[0303] Many computing devices 300 can use a "clock multiplier" which multiplies a lower frequency external clock to the appropriate clock rate of the CPU 320. This allows the CPU 320 to operate at a much higher frequency than the rest of the computing device 300, which affords performance gains in situations where the CPU 320 does not need to wait on an external factor (like memory 340 or input / output 360). Some embodiments of the clock 310 can include dynamic frequency change, where, the time between clock edges can vary widely from one edge to the next and back again.

[0304] In a system consistent with an embodiment of the disclosure, the computing device 300 can include the CPU 320 comprising at least one CPU Core 321. In other embodiments, the CPU 320 can include a plurality of identical CPU cores 321, such as, but not limited to, homogeneous multi-core systems. It is also possible for the plurality of CPU cores 321 to comprise different CPU cores 321, such as, but not limited to, heterogeneous multi-coreAttorney Docket No.: 90-10-007systems, big.LITTLE systems and some AMD accelerated processing units (APU). The CPU 320 reads and executes program instructions which can be used across many application domains, for example, but not limited to, general purpose computing, embedded computing, network computing, digital signal processing (DSP), and graphics processing (GPU). The CPU 320 can run multiple instructions on separate CPU cores 321 simultaneously. The CPU 320 can be integrated into at least one of a single integrated circuit die, and multiple dies in a single chip package. The single integrated circuit die and / or the multiple dies in a single chip package can contain a plurality of other elements of the computing device 300, for example, but not limited to, the clock 310, the bus 330, the memory 340, and I / O 360.

[0305] The CPU 320 can contain a CPU cache memory 325, such as but not limited to a level 1 cache, a level 2 cache, a level 3 cache, or combinations thereof. The CPU cache memory 325 may or may not be shared amongst a plurality of CPU cores 321. The cache sharing can comprise at least one of message passing and inter-core communication methods used for the at least one CPU Core 321 to communicate with the CPU cache memory 325. The inter-core communication methods can comprise, but not be limited to, bus, ring, two-dimensional mesh, and crossbar. The aforementioned CPU 320 can employ symmetric multiprocessing (SMP) design.

[0306] The one or more CPU cores 321 can comprise soft microprocessor cores on a single field programmable gate array (FPGA), such as semiconductor intellectual property cores (IP Core). The architectures of the one or more CPU cores 321 can be based on at least one of, but not limited to, Complex Instruction Set Computing (CISC), Zero Instruction Set Computing (ZISC), and Reduced Instruction Set Computing (RISC). At least one performance-enhancing method can be employed by one or more of the CPU cores 321, for example, but not limited to Instruction-level parallelism (ILP) such as, but not limited to, superscalar pipelining, and Thread-level parallelism (TLP).

[0307] Consistent with the embodiments of the present disclosure, the aforementioned computing device 300 can employ a communication system that transfers data between components inside the computing device 300, and / or the plurality of computing devices 300. The aforementioned communication system will be known to a person having ordinary skill in the art as a bus 330. The bus 330 can embody internal and / or external hardware and software components, for example, but not limited to a wire, an optical fiber, various communication protocols, and / or any physical arrangement that provides the same logical function as a parallel electrical bus. The bus 330 can comprise at least one of a parallel bus, wherein theAttorney Docket No.: 90-10-007parallel bus carries data words in parallel on multiple wires; and a serial bus, wherein the serial bus carries data in bit- wise serial form. The bus 330 can embody a plurality of topologies, for example, but not limited to, a multidrop / electrical parallel topology, a daisy chain topology, and connected by switched hubs, such as a USB bus. The bus 330 can comprise a plurality of embodiments, for example, but not limited to:• Internal data bus (data bus) 331 / Memory bus• Control bus 332• Address bus 333• System Management Bus (SMBus)• Front-Side-Bus (FSB)• External Bus Interface (EB1)• Local bus• Expansion bus• Lightning bus• Controller Area Network (CAN bus)• Camera Link• ExpressCard• Advanced Technology management Attachment (ATA), including embodiments and derivatives such as, but not limited to, Integrated Drive Electronics (IDE) I Enhanced IDE (EIDE), ATA Packet Interface (ATAPI), Ultra-Direct Memory Access (UDMA), Ultra ATA (UATA) / Parallel ATA (PATA) / Serial ATA (SATA), CompactFlash (CF) interface, Consumer Electronics ATA (CE-ATA) / Fiber Attached Technology Adapted (FATA), Advanced Host Controller Interface (AHCI), SATA Express (SATAe) / External SATA (eSATA), including the powered embodiment eSATAp / Mini-SATA (mSATA), and Next Generation Form Factor (NGFF) / M.2.• Small Computer System Interface (SCSI) / Serial Attached SCSI (SAS)• HyperTransport• InfiniBand• RapidlO• Mobile Industry Processor Interface (MIPI)• Coherent Processor Interface (CAPI)• Plug-n-play• 1-WireAttorney Docket No.: 90-10-007• Peripheral Component Interconnect (PCI), including embodiments such as but not limited to, Accelerated Graphics Port (AGP), Peripheral Component Interconnect extended (PCI-X), Peripheral Component Interconnect Express (PCI-e) (e.g., PCI Express Mini Card, PCI Express M.2 [Mini PCIe v2], PCI Express External Cabling [ePCIe], and PCI Express OCuLink [Optical Copper{Cu) Link]), Express Card, AdvancedTCA, AMC, Universal 10, Thunderbolt / Mini DisplayPort, Mobile PCIe (M- PCIe), U.2, and Non-Volatile Memory Express (NVMe) / Non-Volatile Memory Host Controller Interface Specification (NVMHCIS).• Industry Standard Architecture (ISA), including embodiments such as, but not limited to Extended ISA (EISA), PC / XT-bus / PC / AT-bus / PC / 104 bus (e.g., PC / 104- Plus, PCI / 104-Express, PCI / 104, and PCI-104), and Low Pin Count (LPC).• Music Instrument Digital Interface (MIDI)• Universal Serial Bus (USB), including embodiments such as, but not limited to, Media Transfer Protocol (MTP) I Mobile High-Definition Link (MHL), Device Firmware Upgrade (DFU), wireless USB, InterChip USB, IEEE 1394 Interface I Firewire, Thunderbolt, and extensible Host Controller Interface (xHCI).

[0308] Consistent with the embodiments of the present disclosure, the aforementioned computing device 300 can employ hardware integrated circuits that store information for immediate use in the computing device 300, known to persons having ordinary skill in the art as primary storage or memory 340. The memory 340 operates at high speed, distinguishing it from the non-volatile storage sub-module 361, which can be referred to as secondary or tertiary storage, which provides relatively slower-access to information but offers higher storage capacity. The data contained in memory 340, can be transferred to secondary storage via techniques such as, but not limited to, virtual memory and swap. The memory 340 can be associated with addressable semiconductor memory, such as integrated circuits consisting of silicon-based transistors, that can be used as primary storage or for other purposes in the computing device 300. The memory 340 can comprise a plurality of embodiments, such as, but not limited to volatile memory, non-volatile memory, and semi-volatile memory. It should be understood by a person having ordinary skill in the art that the following are non-limiting examples of the aforementioned memory:• Volatile memory, which requires power to maintain stored information, for example, but not limited to, Dynamic Random-Access Memory (DRAM) 341, Static Random-Access Memory (SRAM) 342, CPU Cache memory 325, Advanced Random-Attorney Docket No.: 90-10-007Access Memory (A-RAM), and other types of primary storage such as Random- Access Memory [RAM],• Non-volatile memory, which can retain stored information even after power is removed, for example, but not limited to, Read-Only Memory (ROM) 343, Programmable ROM (PROM) 344, Erasable PROM (EPROM) 345, Electrically Erasable PROM (EEPROM) 346 (e.g., flash memory and Electrically Alterable PROM [EAPROM]), Mask ROM (MROM), One Time Programmable (OTP) ROM / Write Once Read Many (WORM), Ferroelectric RAM (FeRAM), Parallel Random-Access Machine (PRAM), Split-Transfer Torque RAM (STT-RAM), Silicon Oxime Nitride Oxide Silicon (SONOS), Resistive RAM (RRAM), Nano RAM (NRAM), 3D XPoint, Domain-Wall Memory (DWM), and millipede memory.• Semi-volatile memory can have limited non-volatile duration after power is removed but can lose data after said duration has passed. Semi-volatile memory provides high performance, durability, and other valuable characteristics typically associated with volatile memory, while providing some benefits of true non-volatile memory. The semi-volatile memory can comprise volatile and non-volatile memory, and / or volatile memory with a battery to provide power after power is removed. The semi-volatile memory can comprise, but is not limited to, spin-transfer torque RAM (STT-RAM).

[0309] Consistent with the embodiments of the present disclosure, the aforementioned computing device 300 can employ a communication system between an information processing system, such as the computing device 300, and the outside world, for example, but not limited to, human, environment, and another computing device 300. The aforementioned communication system can be known to a person having ordinary skill in the art as an Input / Output (I / O) module 360. The I / O module 360 regulates a plurality of inputs and outputs with regard to the computing device 300, wherein the inputs are a plurality of signals and data received by the computing device 300, and the outputs are the plurality of signals and data sent from the computing device 300. The 1 / 0 module 360 interfaces with a plurality of hardware, such as, but not limited to, non-volatile storage 361, communication devices 362, sensors 363, and peripherals 364. The plurality of hardware is used by at least one of, but not limited to, humans, the environment, and another computing device 300 to communicate with the present computing device 300. The I / O module 360 can comprise a plurality of forms, forAttorney Docket No.: 90-10-007example, but not limited to channel I / O, port mapped I / O, asynchronous I / O, and Direct Memory Access (DMA).

[0310] Consistent with the embodiments of the present disclosure, the aforementioned computing device 300 can employ a non-volatile storage sub-module 361, which may be referred to by a person having ordinary skill in the art as one of secondary storage, external memory, tertiary storage, off-line storage, and auxiliary storage. The non-volatile storage submodule 361 may not be accessed directly by the CPU 320 without using an intermediate area in the memory 340. The non-volatile storage sub-module 361 may not lose data when power is removed and can be orders of magnitude less costly than storage used in memory 340. Further, the non-volatile storage sub-module 361 can have a slower speed and higher latency than in other areas of the computing device 300. The non-volatile storage sub-module 361 can comprise a plurality of forms, such as, but not limited to, Direct Attached Storage (DAS), Network Attached Storage (NAS), Storage Area Network (SAN), nearline storage, Massive Array ofldle Disks (MAID), Redundant Array of Independent Disks (RAID), device mirroring, off-line storage, and robotic storage. The non-volatile storage sub-module (361) can comprise a plurality of embodiments, such as, but not limited to:• Optical storage, for example, but not limited to, Compact Disk (CD) (CD-ROM / CD- R / CD-RW), Digital Versatile Disk (DVD) (DVD-ROM I DVD-R / DVD+R / DVD-RW / DVD+RW / DVD±RW / DVD+R DL / DVD-RAM / HD-DVD), Blu-ray Disk (BD) (BD- ROM / BD-R / BD-RE / BD-R DL / BD-RE DL), and Ultra-Density Optical (UDO).• Semiconductor storage, for example, but not limited to, flash memory, such as, but not limited to, USB flash drive, Memory card, Subscriber Identity Module (SIM) card, Secure Digital (SD) card, Smart Card, CompactFlash (CF) card, Solid-State Drive (SSD) and memristor.• Magnetic storage such as, but not limited to, Hard Disk Drive (HDD), tape drive, carousel memory, and Card Random-Access Memory (CRAM).• Phase-change memory• Holographic data storage such as Holographic Versatile Disk (HVD).• Molecular Memory• Deoxyribonucleic Acid (DNA) digital data storage

[0311] Consistent with the embodiments of the present disclosure, the computing device 300 can employ a communication sub-module 362 as a subset of the I / O module 360, which can be referred to by a person having ordinary skill in the art as at least one of, but not limitedAttorney Docket No.: 90-10-007to, a computer network, a data network, and a network. The network can allow computing devices 300 to exchange data using connections, which can also be known to a person having ordinary skill in the art as data links, which can include data links between network nodes. The nodes can comprise networked computer devices 300 that can be configured to originate, route, and / or terminate data. The nodes can be identified by network addresses and can include a plurality of hosts consistent with the embodiments of a computing device 300. Examples of computing devices that can include a communication sub-module 362 include, but are not limited to, personal computers, phones, servers, drones, and networking devices such as, but not limited to, hubs, switches, routers, modems, and firewalls.

[0312] Two nodes can be considered networked together when one computing device 300 can exchange information with the other computing device 300, regardless of any direct connection between the two computing devices 300. The communication sub-module 362 supports a plurality of applications and services, such as, but not limited to World Wide Web (WWW), digital video and audio, shared use of application and storage computing devices 300, printers / scanners / fax machines, email / online chat / instant messaging, remote control, distributed computing, etc. The network can comprise one or more transmission mediums, such as, but not limited to conductive wire, fiber optics, and wireless signals. The network can comprise one or more communications protocols to organize network traffic, wherein application-specific communications protocols can be layered, and can be known to a person having ordinary skill in the art as being improved for carrying a specific type of payload, when compared with other more general communications protocols. The plurality of communications protocols can comprise, but are not limited to, IEEE 802, ethernet, Wireless LAN (WLAN I Wi-Fi), Internet Protocol (IP) suite (e.g., TCP / IP, UDP, Internet Protocol version 4 [IPv4], and Internet Protocol version 6 [IPv6]), Synchronous Optical Networking (SONET) / Synchronous Digital Hierarchy (SDH), Asynchronous Transfer Mode (ATM), and cellular standards (e.g., Global System for Mobile Communications [GSM], General Packet Radio Service [GPRS], Code-Division Multiple Access [CDMA], Integrated Digital Enhanced Network [IDEN], Long Term Evolution [LTE], LTE-Advanced [LTE-A], and fifth generation [5G] communication protocols).

[0313] The communication sub-module 362 can comprise a plurality of size, topology, traffic control mechanisms and organizational intent policies. The communication sub-module 362 can comprise a plurality of embodiments, such as, but not limited to:Attorney Docket No.: 90-10-007• Wired communications, such as, but not limited to, coaxial cable, phone lines, twisted pair cables (ethernet), and InfiniBand.• Wireless communications, such as, but not limited to, communications satellites, cellular systems, radio frequency / spread spectrum technologies, IEEE 802.11 Wi-Fi, Bluetooth, NFC, free-space optical communications, terrestrial microwave, and Infrared (IR) communications. Wherein cellular systems embody technologies such as, but not limited to, 3G,4G (such as WiMAX and LTE), and 5G (short and long wavelength).• Parallel communications, such as, but not limited to, LPT ports.• Serial communications, such as, but not limited to, RS-232 and USB.• Fiber Optic communications, such as, but not limited to, Single-mode optical fiber (SMF) and Multi-mode optical fiber (MMF).• Power Line communications

[0314] The aforementioned network can comprise a plurality of layouts, such as, but not limited to, bus networks such as Ethernet, star networks such as Wi-Fi, ring networks, mesh networks, fully connected networks, and tree networks. The network can be characterized by its physical capacity or its organizational purpose. Use of the network, including user authorization and access rights, can differ according to the layout of the network. The characterization can include, but is not limited to a nanoscale network, a Personal Area Network (PAN), a Local Area Network (LAN), a Home Area Network (HAN), a Storage Area Network (SAN), a Campus Area Network (CAN), a backbone network, a Metropolitan Area Network (MAN), a Wide Area Network (WAN), an enterprise private network, a Virtual Private Network (VPN), and a Global Area Network (GAN).

[0315] Consistent with the embodiments of the present disclosure, the aforementioned computing device 300 can employ a sensors sub-module 363 as a subset of the I / O 360. The sensors sub-module 363 comprises at least one of the device, module, or subsystem whose purpose is to detect events or changes in its environment and send the information to the computing device 300. Sensors can be sensitive to the property they are configured to measure, may not be sensitive to any property not measured but be encountered in its application, and may not significantly influence the measured property. The sensors sub-module 363 can comprise a plurality of digital devices and analog devices, wherein if an analog device is used, an Analog to Digital (A-to-D) converter must be employed to interface the said device with the computing device 300. The sensors can be subject to a plurality of deviations that limit sensorAttorney Docket No.: 90-10-007accuracy. The sensors sub-module 363 can comprise a plurality of embodiments, such as, but not limited to, chemical sensors, automotive sensors, acoustic / sound / vibration sensors, electric current / electric potential / magnetic / radio sensors, environmental / weather / moisture / humidity sensors, flow I fluid velocity sensors, ionizing radiation I particle sensors, navigation sensors, position / angle I displacement / distance / speed / acceleration sensors, imaging I optical / light sensors, pressure sensors, force / density / level sensors, thermal / temperature sensors, and proximity / presence sensors. It should be understood by a person having ordinary skill in the art that the ensuing are non-limiting examples of the aforementioned sensors:• Chemical sensors, such as, but not limited to, breathalyzer, carbon dioxide sensor, carbon monoxide / smoke detector, catalytic bead sensor, chemical field-effect transistor, chemiresistor, electrochemical gas sensor, electronic nose, electrolyte- insulator-semiconductor sensor, energy-dispersive X-ray spectroscopy, fluorescent chloride sensors, holographic sensor, hydrocarbon dew point analyzer, hydrogen sensor, hydrogen sulfide sensor, infrared point sensor, ion-selective electrode, nondispersive infrared sensor, microwave chemistry sensor, nitrogen oxide sensor, olfactometer, optode, oxygen sensor, ozone monitor, pellistor, pH glass electrode, potentiometric sensor, redox electrode, zinc oxide nanorod sensor, and biosensors (such as nanosensors).• Automotive sensors, such as, but not limited to, air flow meter / mass airflow sensor, air-fuel ratio meter, AFR sensor, blind spot monitor, engine coolant / exhaust gas / cylinder head I transmission fluid temperature sensor, hall effect sensor, wheel I automatic transmission / turbine / vehicle speed sensor, airbag sensors, brake fluid I engine crankcase / fuel / oil / tire pressure sensor, camshaft / crankshaft / throttle position sensor, fuel / oil level sensor, knock sensor, light sensor, MAP sensor, oxygen sensor (o2), parking sensor, radar sensor, torque sensor, variable reluctance sensor, and water-in-fiiel sensor.• Acoustic, sound and vibration sensors, such as, but not limited to, microphone, lace sensors such as a guitar pickup, seismometer, sound locator, geophone, and hydrophone.• Electric current, electric potential, magnetic, and radio sensors, such as, but not limited to, current sensor, Daly detector, electroscope, electron multiplier, faraday cup, galvanometer, hall effect sensor, hall probe, magnetic anomaly detector,Attorney Docket No.: 90-10-007magnetometer, magnetoresistance, MEMS magnetic field sensor, metal detector, planar hall sensor, radio direction finder, and voltage detector.• Environmental, weather, moisture, and humidity sensors, such as, but not limited to, actinometer, air pollution sensor, moisture alarm, ceilometer, dew warning, electrochemical gas sensor, fish counter, frequency domain sensor, gas detector, hook gauge evaporimeter, humistor, hygrometer, leaf sensor, lysimeter, pyranometer, pyrgeometer, psychrometer, rain gauge, rain sensor, seismometers, SNOTEL, snow gauge, soil moisture sensor, stream gauge, and tide gauge.• Flow and fluid velocity sensors, such as, but not limited to, air flow meter, anemometer, flow sensor, gas meter, mass flow sensor, and water meter.• Ionizing radiation and particle sensors, such as, but not limited to, cloud chamber, Geiger counter, Geiger-Muller tube, ionization chamber, neutron detection, proportional counter, scintillation counter, semiconductor detector, and thermoluminescent dosimeter.• Navigation sensors, such as, but not limited to, airspeed indicator, altimeter, attitude indicator, depth gauge, fluxgate compass, gyroscope, inertial navigation system, inertial reference unit, magnetic compass, MHD sensor, ring laser gyroscope, turn coordinator, variometer, vibrating structure gyroscope, and yaw rate sensor.• Position, angle, displacement, distance, speed, and acceleration sensors, such as but not limited to, accelerometer, displacement sensor, flex sensor, free-fall sensor, gravimeter, impact sensor, laser rangefinder, LIDAR, odometer, photoelectric sensor, position sensor such as, but not limited to, GPS or Glonass, angular rate sensor, shock detector, ultrasonic sensor, tilt sensor, tachometer, ultra-wideband radar, variable reluctance sensor, and velocity receiver.• Imaging, optical and light sensors, such as, but not limited to, CMOS sensor, colorimeter, contact image sensor, electro-optical sensor, infra-red sensor, kinetic inductance detector, LED configured as a light sensor, light-addressable potentiometric sensor, Nichols radiometer, fiber-optic sensors, optical position sensor, thermopile laser sensor, photodetector, photodiode, photomultiplier tubes, phototransistor, photoelectric sensor, photoionization detector, photomultiplier, photoresistor, photoswitch, phototube, scintillometer, Shack-Hartmann, singlephoton avalanche diode, superconducting nanowire single-photon detector, transition edge sensor, visible light photon counter, and wavefront sensor.Attorney Docket No.: 90-10-007• Pressure sensors, such as, but not limited to, barograph, barometer, boost gauge, bourdon gauge, hot filament ionization gauge, ionization gauge, McLeod gauge, Oscillating U-tube, permanent downhole gauge, piezometer, Pirani gauge, pressure sensor, pressure gauge, tactile sensor, and time pressure gauge.• Force, Density, and Level sensors, such as, but not limited to, bhangmeter, hydrometer, force gauge or force sensor, level sensor, load cell, magnetic level or nuclear density sensor or strain gauge, piezocapacitive pressure sensor, piezoelectric sensor, torque sensor, and viscometer.• Thermal and temperature sensors, such as, but not limited to, bolometer, bimetallic strip, calorimeter, exhaust gas temperature gauge, flame detection / pyrometer, Gardon gauge, Golay cell, heat flux sensor, microbolometer, microwave radiometer, net radiometer, infrared / quartz / resistance thermometer, silicon bandgap temperature sensor, thermistor, and thermocouple.• Proximity and presence sensors, such as, but not limited to, alarm sensor, doppler radar, motion detector, occupancy sensor, proximity sensor, passive infrared sensor, reed switch, stud finder, triangulation sensor, touch switch, and wired glove.

[0316] Consistent with the embodiments of the present disclosure, the aforementioned computing device 300 can employ a peripherals sub-module 364 as a subset of the I / O 360. The peripheral sub-module 364 comprises ancillary devices uses to put information into and get information out of the computing device 300. There are 3 categories of devices comprising the peripheral sub-module 364, which exist based on their relationship with the computing device 300, input devices, output devices, and input / output devices. Input devices send at least one of data and instructions to the computing device 300. Input devices can be categorized based on, but not limited to:• Modality of input, such as, but not limited to, mechanical motion, audio, visual, and tactile.• Whether the input is discrete, such as but not limited to, pressing a key, or continuous such as, but not limited to the position of a mouse.• The number of degrees of freedom involved, such as, but not limited to, two- dimensional mice and three-dimensional mice used for Computer-Aided Design (CAD) applications.

[0317] Output devices provide output from the computing device 300. Output devices convert electronically generated information into a form that can be presented to humans.Attorney Docket No.: 90-10-007Input / output devices perform that perform both input and output functions. It should be understood by a person having ordinary skill in the art that the ensuing are non-limiting embodiments of the aforementioned peripheral sub-module 364:• Input Deviceso Human Interface Devices (HID), such as, but not limited to, pointing device (e.g., mouse, touchpad, joystick, touchscreen, game controller / gamepad, remote, light pen, light gun, infrared remote, jog dial, shuttle, and knob), keyboard, graphics tablet, digital pen, gesture recognition devices, magnetic ink character recognition, Sip-and-Puff (SNP) device, and Language Acquisition Device (LAD).o High degree of freedom devices, that require up to six degrees of freedom such as, but not limited to, camera gimbals, Cave Automatic Virtual Environment (CAVE), and virtual reality systems.o Video Input devices are used to digitize images or video from the outside world into the computing device 300. The information can be stored in a multitude of formats depending on the user's requirement. Examples of types of video input devices include, but are not limited to, digital camera, digital camcorder, portable media player, webcam, Microsoft Kinect, image scanner, fingerprint scanner, barcode reader, 3D scanner, laser rangefinder, eye gaze tracker, computed tomography, magnetic resonance imaging, positron emission tomography, medical ultrasonography, TV tuner, and iris scanner.o Audio input devices are used to capture sound. In some cases, an audio output device can be used as an input device to capture produced sound. Audio input devices allow a user to send audio signals to the computing device 300 for at least one of processing, recording, and carrying out commands. Devices such as microphones allow users to speak to the computer to record a voice message or navigate software. Aside from recording, audio input devices are also used with speech recognition software. Examples of types of audio input devices include, but not limited to microphone, Musical Instrumental Digital Interface (MIDI) devices such as, but not limited to a keyboard, and headset.o Data AcQuisition (DAQ) devices convert at least one of analog signals and physical parameters to digital values for processing by the computing device 300. Examples of DAQ devices can include, but not limited to, Analog to DigitalAttorney Docket No.: 90-10-007Converter (ADC), data logger, signal conditioning circuitry, multiplexer, and Time to Digital Converter (TDC).• Output Devices can further comprise, but not be limited to:o Display devices can convert electrical information into visual form, such as, but not limited to, monitor, TV, projector, and Computer Output Microfilm (COM). Display devices can use a plurality of underlying technologies, such as, but not limited to, Cathode-Ray Tube (CRT), Thin-Film Transistor (TFT), Liquid Crystal Display (LCD), Organic Light-Emitting Diode (OLED), MicroLED, E Ink Display (ePaper) and Refreshable Braille Display (Braille Terminal).o Printers, such as, but not limited to, inkjet printers, laser printers, 3D printers, solid ink printers, and plotters.o Audio and Video (AV) devices, such as, but not limited to, speakers, headphones, amplifiers, and lights, which include lamps, strobes, DJ lighting, stage lighting, architectural lighting, special effect lighting, and lasers.o Other devices such as Digital to Analog Converter (DAC)• Input I Output Devices can further comprise, but not be limited to, touchscreens, networking devices (e.g., devices disclosed in network sub-module 362), data storage devices (non-volatile storage 361), facsimile (FAX), and graphics / sound cards.

[0318] All rights, including copyrights in the code included herein, are vested in and the property of the Applicant. The Applicant retains and reserves all rights in the code included herein, and grants permission to reproduce the material only in connection with the reproduction of the granted patent and for no other purpose.V. CLAIMS

[0319] While the specification includes examples, the disclosure’s scope is indicated by the following claims. Furthermore, while the specification has been described in language specific to structural features and / or methodological acts, the claims are not limited to the features or acts described above. Rather, the specific features and acts described above are disclosed as examples for embodiments of the disclosure.

[0320] Insofar as the description above and the accompanying drawing disclose any additional subject matter that is not within the scope of the claims below, the disclosures areAttorney Docket No.: 90-10-007not dedicated to the public and the right to file one or more applications to claims such additional disclosures is reserved.

[0321] Although very narrow claims are presented herein, it should be recognized the scope of this disclosure is much broader than presented by the claims. It is intended that broader claims will be submitted in an application that claims the benefit of priority from this application.

Claims

Attorney Docket No.: 90-10-007The following is claimed:

1. A system for personalized Al coaching and gamified progression, comprising: a user interface configured to receive user inputs and publish content;a database storing user profile data and content;an artificial intelligence [Al] coaching module configured to:analyze the user inputs and the user profile data, andgenerate a personalized coaching recommendation;a gamification module configured to:track user activities and progress,award virtual rewards based on user achievements, andupdate user status within a multi-stage progression framework; a content delivery module configured to provide stage -appropriate content to a user based on a current progression stage of the user; anda quiz module configured to:administer periodic assessment quizzes,analyze quiz results to determine user progression, andtrigger stage advancements when quiz score thresholds are met.

2. The system of claim 1, wherein the stage-appropriate content comprises personalized coaching advice, self-improvement exercises, and educational materials tailored to a current progression stage of the user.

3. The system of claim 1, wherein the quiz module is further configured to adaptively adjust quiz difficulty based on previous user performance and current progression stage.

4. The system of claim 1, wherein the Al coaching module is further configured to generate personalized affirmations and mantras based on the user's profile data and current emotional state.

5. The system of claim 1, wherein the Al coaching module comprises a natural language processing component configured to analyze user text inputs and generate contextually relevant responses.

6. The system of claim 5, wherein the Al coaching module is further configured to adapt its personalized coaching recommendation according to changes to needs of the user and according to changes in the user's current progression.

7. The system of claim 1, wherein the gamification module is configured to: display a visual journey map showing user progress across stages,Attorney Docket No.: 90-10-007animate milestone achievements and stage advancements, andmaintain user rankings on one or more leaderboards.

8. The system of claim 1, wherein the content delivery module is further configured to unlock additional content when a user reaches new stages or achieve specific milestones.

9. The system of claim 1, further comprising a community engagement module configured to:facilitate interactions between at least two users of the system, the at least two users defining a community,award points for community participation activities, anddisplay a community engagement score.

10. The system of claim 1, wherein the quiz module is further configured to administer an initial assessment containing at least a first question directed to a budget of the user and a second question directed personal relationship characteristics of the user, the initial assessment when completed generating responses by the user responses to the initial assessment.

11. The system of claim 10, wherein the Al coaching module is further configured to: conduct an analysis of the user’s responses to the initial assessment; and responsive to the analysis, assign a user archetype to the user, the user archetype selected from a plurality of stored archetypes, each stored archetype corresponding to at least one unique personal relationship characteristic not shared with any other stored archetype.

12. The system of claim 11,wherein the quiz module is further configured to administer a multi-day challenge to the user; andwherein the user inputs further comprise an indication as to whether the user has completed the multi-day challenge.

13. The system of claim 12, wherein the Al coaching module is further configured to, responsive to an indication that the user has completed the multi-day challenge, send a communication to the user requesting an indication of a coaching preference of the user, the coaching preference selected from one of a self-guided program and a personal coaching program.Attorney Docket No.: 90-10-00714. The system of claim 13, wherein the Al coaching module is further configured to, responsive to receiving the user's coaching preference, formulate the personalized coaching recommendation by determining an initial program tier based upon the user’s coaching preference and budget, and by selecting an initial tier recommendation script according to both the initial program tier and the user archetype.

15. The system of claim 14, wherein the personalized coaching recommendation recommends a program selected from a group consisting of at least two self-guided programs and at least two personal coaching programs, the at least two self-guided programs and the at least two personal coaching programs together organized into tiers, with the personal coaching programs comprising upper tiers and the self-guided programs comprising lower tiers.

16. The system of claim 15, wherein the user inputs include behavioral data, emotional data, and financial data, and further comprising an Al user tier advancement readiness assessment module (AIUTARAM), the AIUTARAM configured to employ Al to:analyze the behavioral data to determine a behavioral readiness score;analyze the emotional data to determine an emotional readiness score;analyze the financial data to determine a financial readiness score; andcorrelate the behavioral readiness score, the emotional readiness score, and the financial readiness score to calculate a composite readiness score.

17. The system of claim 16, wherein the AIUTARAM is further configured to determine whether calculation of the composite readiness score is a first such calculation performed to assess whether the user is ready to advance from a current tier occupied by the user to a higher tier.

18. The system of claim 17, wherein the AIUTARAM is further configured to, responsive to a determination that the calculation of the composite readiness score is the first such calculation performed to assess whether the user is ready to advance from the user’s current tier to a higher tier, reach a conclusion as to whether readiness criteria have been satisfied, the conclusion reached by comparing the composite readiness score to a predetermined advancement readiness threshold.

19. The system of claim 18,wherein the AIUTARAM is further configured to, responsive to reaching a positive conclusion that the readiness criteria have been satisfied, transmit the positive conclusion to the quiz module, andAttorney Docket No.: 90-10-007wherein the quiz module is further configured to, responsive to receiving the positive conclusion from the AIUTARAM, administer a periodic assessment quiz to the user.

20. The system of claim 18,wherein the AIUTARAM is further configured to, responsive to reaching a negative conclusion that the readiness criteria have not been satisfied, transmit the negative conclusion to the content delivery module; andwherein the content delivery module is further configured to, responsive to receiving the negative conclusion from the AIUTARAM, unlock reinforcement content for the user.

21. The system of claim 20, wherein the content delivery module is further configured to:determine whether the user has completed reinforcement activities; and responsive to determining that the user has completed the reinforcement activities, causing the AIUTARAM to re-calculate the composite readiness score.

22. The system of claim 17, wherein the AIUTARAM is further configured to, responsive to a determination that the calculation of the composite readiness score is not the first such calculation performed to assess whether the user is ready to advance from the user’s current tier to a higher tier, reach a conclusion as to whether readiness criteria have been satisfied, the conclusion reached by comparing the composite readiness score to a predetermined advancement readiness threshold.

23. The system of claim 22,wherein the AIUTARAM is further configured to, responsive to reaching a positive conclusion that the readiness criteria have been satisfied, transmit the positive conclusion to the quiz module, andwherein the quiz module is further configured to, responsive to receiving the positive conclusion from the AIUTARAM, administer a periodic assessment quiz to the user.Attorney Docket No.: 90-10-00724. The system of claim 22,wherein the AIUTARAM is further configured to, responsive to reaching a negative conclusion that the readiness criteria have not been satisfied, transmit the negative conclusion to at least one of the Al coaching module and the content delivery module;wherein the at least one of the Al coaching module and the content delivery module is further configured to, responsive to receiving the negative conclusion from the AIUTARAM:impose a delay of a rate at which ensuing content is delivered to the user, and subsequent to imposing the delay, causing the AIUTARAM to re-calculate the composite readiness score.

25. The system of claim 14, wherein the Al coaching module is further configured to, following selection of the initial tier recommendation script:publish a call-to-action [CTA] button to the user; andresponsive to a clicking of the CTA button by the user, publish the initial tier recommendation script.

26. The system of claim 25, wherein the CTA button is a first CTA button, and wherein the Al coaching module is further configured to publish to the user, along with the initial tier recommendation script:a second CTA button;at least one payment option for the user to pay for accessing the program identified in the tier recommendation script;an archetype-dependent script; andbonus-related information providing an incentive for the user to respond to the initial tier recommendation within a limited time, the bonus-related information customized according to the user archetype.

27. The system of claim 26, wherein the Al coaching module is further configured to, responsive to a clicking of the second CTA button by the user, provide the user with access to content in the initial program tier identified in the initial tier recommendation script.Attorney Docket No.: 90-10-00728. The system of claim 2.1 , wherein the Al coaching module is further configured to, responsive to receiving an indication that the user completed one of the initial program tier and a subsequent recommended tier, generate and publish a progression recommendation script recommending a program in a tier higher than any tier the user has completed, the progression recommendation script varying according to the user’s progress and to the user archetype.

29. The system of claim 28, wherein the user interface is further configured to publish the progression recommendation script by at least one of displaying the progression recommendation script to the user as text, playing an audio clip reciting the progression recommendation script, playing an audiovisual clip reciting the progression recommendation script, and presenting an animated avatar reciting the progression recommendation script.

30. The system of claim 28, wherein the user interface is further configured to: publish to the user, along with the progression recommendation script, a third CTA button; andresponsive to a clicking of the third CTA button by the user, provide the user with access to content in a tier identified in the progression recommendation script.

31. The system of claim 30, wherein the Al coaching module is further configured to send the user a follow-up communication responsive to a determination that the user has not clicked the third CTA button within a predetermined time period following completion of a most recent tier occupied by the user.

32. A method for providing personalized Al coaching and gamified progression, comprising the steps of:receiving user inputs from a user via a user interface;analyzing the user inputs and user profile data using an Al coaching module to generate a personalized coaching recommendation;tracking user activities and progress using a gamification module;awarding virtual rewards based on user achievements;updating user status within a multi-stage progression framework;providing stage-appropriate content to the user based on a current progression stage of the user;administering periodic assessment quizzes;analyzing quiz results to determine user progression; andtriggering stage advancements when quiz score thresholds are met.Attorney Docket No.: 90-10-00733. The method of claim 32, further comprising the step of:analyzing user text inputs using natural language processing to generate contextually relevant coaching responses.

34. The method of claim 32, further comprising the step of adapting the personalized coaching recommendation according to changes to needs of the user and according to changes in the user's progression.

35. The method of claim 32, further comprising the steps of:displaying a visual journey map showing user progress across stages;animating milestone achievements and stage advancements; andmaintaining user rankings on one or more leaderboards.

36. The method of claim 32, further comprising the step of:unlocking additional content when the user accomplishes at least one of reaching a new stage and achieving a milestone.

37. The method of claim 32, further comprising the steps of:facilitating interactions between at least two users accessing the personalized Al coaching and gamified progression, the at least two users defining a community;awarding points for community participation activities; anddisplaying a community engagement score.

38. The method of claim 32, further comprising the step of administering an initial assessment containing at least a first question directed to a budget of the user and a second question directed personal relationship characteristics of the user, the initial assessment when completed generating the responses by the user to the initial assessment.

39. The method of claim 38, further comprising the steps of:conducting an analysis of the user's responses to the initial assessment; and responsive to the analysis, assigning a user archetype to the user, the user archetype selected from a plurality of stored archetypes, each stored archetype corresponding to at least one unique personal relationship characteristic not shared with any other stored archetype.

40. The method of claim 39, further comprising the steps of:administering a multi-day challenge to the user; andreceiving from the user an indication as to whether the user has completed the multiday challenge.

41. The method of claim 40, further comprising the step of, responsive to an indication that the user has completed the multi-day challenge, send a communication to the userAttorney Docket No.: 90-10-007requesting an indication of a coaching preference of the user, the coaching preference selected from one of a self-guided program and a personal coaching program.

42. The method of claim 41, wherein the personalized coaching recommendation is generated, responsive to receiving the user’s coaching preference, by determining an initial program tier based upon the user's coaching preference and budget, and by selecting an initial tier recommendation script according to both the initial program tier and the user archetype.

43. The method of claim 42, wherein the personalized coaching recommendation recommends a program selected from a group consisting of at least two self-guided programs and at least two personal coaching programs, the at least two self-guided programs and the at least two personal coaching programs together organized into tiers, with the personal coaching programs comprising upper tiers and the self-guided programs comprising lower tiers.

44. The method of claim 43, wherein the user inputs include behavioral data, emotional data, and financial data, and further comprising the step of applying Al in an Al user tier advancement readiness assessment module (AIUTARAM) to:analyze the behavioral data to determine a behavioral readiness score;analyze the emotional data to determine an emotional readiness score;analyze the financial data to determine a financial readiness score; andcorrelate the behavioral readiness score, the emotional readiness score, and the financial readiness score to determine a composite readiness score.

45. The method of claim 44, further comprising the step of determining whether calculation of the composite readiness score is a first such calculation performed to assess whether the user is ready to advance from a current tier occupied by the user to a higher tier.

46. The method of claim 45, further comprising the step of, responsive to a determination that the calculation of the composite readiness score is the first such calculation performed to assess whether the user is ready to advance from the user’s current tier to a higher tier, reaching a conclusion as to whether readiness criteria have been satisfied, the conclusion reached by comparing the composite readiness score to a predetermined advancement readiness threshold.Attorney Docket No.: 90-10-00747. The method of claim 46, further comprising the steps of:responsive to reaching a positive conclusion that the readiness criteria have been satisfied, transmitting, by the AIUTARAM, the positive conclusion to a quiz module, and responsive to receiving the positive conclusion from the AIUTARAM, administering, by the quiz module, a periodic assessment quiz to the user.

48. The method of claim 46, further comprising the steps of:responsive to reaching a negative conclusion that the readiness criteria have not been satisfied, transmitting, by the AIUTARAM, the negative conclusion to a content delivery module; andresponsive to receiving the negative conclusion from the AIUTARAM, unlocking, by the content delivery module, reinforcement content for the user.

49. The method of claim 48, further comprising the steps of, by the content delivery module:determining whether the user has completed reinforcement activities; and responsive to determining that the user has completed the reinforcement activities, causing the AIUTARAM to re-calculate the composite readiness score.

50. The method of claim 45, further comprising the step of, responsive to determining that the calculation of the composite readiness score is not the first such calculation performed to assess whether the user is ready to advance from the user's current tier to a higher tier, reaching a conclusion as to whether readiness criteria have been satisfied, the conclusion reached by comparing the composite readiness score to a predetermined advancement readiness threshold.

51. The method of claim 50, further comprising the steps of:responsive to reaching a positive conclusion that the readiness criteria have been satisfied, transmitting, by the AIUTARAM the positive conclusion to a quiz module; and responsive to receiving the positive conclusion from the AIUTARAM, administering, by the quiz module, a periodic assessment quiz to the user.

52. The method of claim 51, further comprising the steps of:responsive to reaching a negative conclusion that the readiness criteria have not been satisfied, transmitting, by the AIUTARAM, the negative conclusion to at least one of an Al coaching module and a content delivery module;Attorney Docket No.: 90-10-007responsive to receiving the negative conclusion from the AIUTARAM, by the at least one of the Al coaching module and the content delivery module;impose a delay of a rate at which ensuing content is delivered to the user; and subsequent to imposing the delay, causing the AIUTARAM to re-calculate the composite readiness score.

53. The method of claim 42, further comprising the steps of, following selection of the initial tier recommendation script:publishing a call-to-action (CTA) button to the user; andresponsive to a clicking of the CTA button by the user, publishing the initial tier recommendation script.

54. The method of claim 53, wherein the CTA button is a first CTA button, and further comprising the step of publishing to the user, along with the initial tier recommendation script:a second CTA button;at least one payment option for the user to pay for accessing the program identified in the tier recommendation script;an archetype-dependent script; andbonus-related information providing an incentive for the user to respond to the personalized tier recommendation within a limited time, the bonus-related information customized according to the user archetype.

55. The method of claim 54, further comprising the step of, responsive to a clicking of the second CTA button by the user, providing the user with access to content in the initial program tier identified in the initial tier recommendation script.

56. The method of claim 55, further comprising the steps of, responsive to receiving an indication that the user completed one of the initial program tier and a subsequent recommended tier, generating and publishing a progression recommendation script recommending a program in a tier higher than any tier the user has completed, the progression recommendation script varying according to the user’s progress and to the user archetype.

57. The method of claim 56, wherein the step of publishing the progression recommendation script comprises at least one of displaying the progression recommendation script to the user as text, playing an audio clip reciting the progression recommendationAttorney Docket No.: 90-10-007script, playing an audiovisual clip reciting the progression recommendation script, and presenting an animated avatar reciting the progression recommendation script.

58. The method of claim 56, further comprising the steps of:publishing to the user along with the progression recommendation script, a third CTA button; andresponsive to a clicking of the third CTA button by the user, providing the user with access to content in a tier identified in the progression recommendation script.

59. The method of claim 58, further comprising the step of sending the user a followup communication responsive to a determination that the user has not clicked the third CTA button within a predetermined time period following completion of a most recent tier occupied by the user.

60. A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform operations comprising:receiving user inputs from a user via a user interface;analyzing the user inputs and user profile data using an Al coaching module to generate a personalized coaching recommendation;tracking user activities and progress using a gamification module;awarding virtual rewards based on user achievements;updating user status within a multi-stage progression framework;providing stage-appropriate content to the user based on a current progression stage of the user;administering periodic assessment quizzes;analyzing quiz results to determine user progression; andtriggering stage advancements when quiz score thresholds are met.

61. The non-transitory computer-readable medium of claim 60, the operations further comprising:analyzing user text inputs using natural language processing to generate contextually relevant coaching responses.

62. The non-transitory computer-readable medium of claim 60, the operations further comprising:displaying a visual journey map showing user progress across stages;animating milestone achievements and stage advancements; andmaintaining user rankings on one or more leaderboards.Attorney Docket No.: 90-10-00763. The non-transitory computer-readable medium of claim 62, the operations further comprising adapting the personalized coaching recommendation according to changes to needs of the user and according to changes in the user's progression.

64. The non-transitory computer-readable medium of claim 60, the operations further comprising:unlocking additional content when the user accomplishes at least one of reaching a new stage or achieving a milestone.

65. The non-transitory computer-readable medium of claim 60, the operations further comprising:facilitating interactions between at least two users, the at least two users defining a community;awarding points for community participation activities; anddisplaying a community engagement score.

66. The non-transitory computer-readable medium of claim 60, the operations further comprising administering an initial assessment containing at least a first question directed to a budget of the user and a second question directed personal relationship characteristics of the user, the initial assessment when completed generating the user’s responses to the initial assessment.

67. The non-transitory computer-readable medium of claim 66, the operations further comprising:conducting an analysis of the user’s responses to the initial assessment; and responsive to the analysis, assigning a user archetype to the user, the user archetype selected from a plurality of stored archetypes, each stored archetype corresponding to at least one unique personal relationship characteristic not shared with any other stored archetype.

68. The non-transitory computer-readable medium of claim 67, the operations further comprising:administering a multi-day challenge to the user; andreceiving from the user an indication as to whether the user has completed the multiday challenge.

69. The non-transitory computer-readable medium of claim 68, the operations further comprising, responsive to an indication that the user has completed the multi-day challenge, sending a communication to the user requesting an indication of a coaching preference of theAttorney Docket No.: 90-10-007user, the coaching preference selected from one of a self-guided program and a personal coaching program.

70. The non-transitory computer-readable medium of claim 69, wherein the personalized coaching recommendation is generated, responsive to receiving the user’s coaching preference, by determining an initial program tier based upon the user’s coaching preference and budget, and by selecting an initial tier recommendation script according to both the initial program tier and the user archetype.

71. The non-transitory computer-readable medium of claim 70, wherein the personalized coaching recommendation recommends a program selected from a group consisting of at least two self-guided programs and at least two personal coaching programs, the at least two self-guided programs and the at least two personal coaching programs together organized into tiers, with the personal coaching programs comprising upper tiers and the self-guided programs comprising lower tiers.

72. The non-transitory computer-readable medium of claim 71, wherein the user inputs include behavioral data, emotional data, and financial data, and wherein the operations further comprise using an Al in a user tier advancement readiness assessment module [AIUTARAM] to:analyze the behavioral data to determine a behavioral readiness score;analyze the emotional data to determine an emotional readiness score;analyze the financial data to determine a financial readiness score; andcorrelate the behavioral readiness score, the emotional readiness score, and the financial readiness score to determine a composite readiness score.

73. The non-transitory computer-readable medium of claim 72, the operations further comprising determining whether calculation of the composite readiness score is a first such calculation performed to assess whether the user is ready to advance from a current tier occupied by the user to a higher tier.

74. The non-transitory computer-readable medium of claim 73, the operations further comprising, responsive to a determination that the calculation of the composite readiness score is the first such calculation performed to assess whether the user is ready to advance from the user’s current tier to a higher tier, reaching a conclusion as to whether readiness criteria have been satisfied, the conclusion reached by comparing the composite readiness score to a predetermined advancement readiness threshold.Attorney Docket No.: 90-10-00775. The non-transitory computer-readable medium of claim 74, the operations further comprising:responsive to reaching a positive conclusion that the readiness criteria have been satisfied, transmitting, by the AIUTARAM, the positive conclusion to a quiz module, and responsive to receiving the positive conclusion from the AIUTARAM, administering, by the quiz module, a periodic assessment quiz to the user.

76. The non-transitory computer-readable medium of claim 74, the operations further comprising:responsive to reaching a negative conclusion that the readiness criteria have not been satisfied, transmitting, by the AIUTARAM, the negative conclusion to a content delivery module; andresponsive to receiving the negative conclusion from the AIUTARAM, unlocking, by the content delivery module, reinforcement content for the user.

77. The non-transitory computer-readable medium of claim 76, the operations further comprising, by the content delivery module:determining whether the user has completed reinforcement activities; and responsive to determining that the user has completed the reinforcement activities, causing the AIUTARAM to re-calculate the composite readiness score.

78. The non-transitory computer-readable medium of claim 73, wherein the operations further comprise, responsive to a determination that the calculation of the composite readiness score is not the first such calculation performed to assess whether the user is ready to advance from the user’s current tier to a higher tier, reaching a conclusion as to whether readiness criteria have been satisfied, the conclusion reached by comparing the composite readiness score to a predetermined advancement readiness threshold.

79. The non-transitory computer-readable medium of claim 78, the operations further comprising:responsive to reaching a positive conclusion that the readiness criteria have been satisfied, transmitting, by the AIUTARAM the positive conclusion to a quiz module, and responsive to receiving the positive conclusion from the AIUTARAM, administering, by the quiz module, a periodic assessment quiz to the user.Attorney Docket No.: 90-10-00780. The non-transitory computer-readable medium of claim 79, the operations further comprising:responsive to reaching a negative conclusion that the readiness criteria have not been satisfied, transmitting, by the AIUTARAM, the negative conclusion to at least one of an Al coaching module and a content delivery module; andresponsive to receiving the negative conclusion from the AIUTARAM, by the at least one of the Al coaching module and the content delivery module;impose a delay of a rate at which ensuing content is delivered to the user; and subsequent to imposing the delay, causing the AIUTARAM to re-calculate the composite readiness score.

81. The non-transitory computer-readable medium of claim 70, the operations further comprising, following selection of the initial tier recommendation script:publishing a call-to-action (CTA) button to the user; andresponsive to a clicking of the CTA button by the user, publishing the initial tier recommendation script.

82. The non-transitory computer-readable medium of claim 81, wherein the CTA button is a first CTA button, and wherein the operations further comprise publishing to the user, along with the initial tier recommendation script:a second CTA button;at least one payment option for the user to pay for accessing the program identified in the tier recommendation script;an archetype-dependent script; andbonus-related information providing an incentive for the user to respond to the initial tier recommendation within a limited time, the bonus-related information customized according to the user archetype.

83. The non-transitory computer-readable medium of claim 82, the operations further comprising, responsive to a clicking of the second CTA button by the user, providing the user with access to content in the initial program tier identified in the initial tier recommendation script.Attorney Docket No.: 90-10-00784. The non-transitory computer-readable medium of claim 83, the operations further comprising, responsive to receiving an indication that the user completed one of the initial program tier and a subsequent recommended tier, generating and publishing a progression recommendation script recommending a program in a tier higher than any tier the user has completed, the progression recommendation script varying according to the user's progress and to the user archetype.

85. The non-transitory computer-readable medium of claim 84, the operations further comprising publishing the progression recommendation script by at least one of displaying the progression recommendation script to the user as text, playing an audio clip reciting the progression recommendation script, playing an audiovisual clip reciting the progression recommendation script, and presenting an animated avatar reciting the progression recommendation script.

86. The non-transitory computer-readable medium of claim 84, the operations further comprising:publishing to the user along with the progression recommendation script, a third CTA button; andresponsive to a clicking of the third CTA button by the user, providing the user with access to content in a tier identified in the progression recommendation script.

87. The non-transitory computer-readable medium of claim 86, the operations further comprising sending the user a follow-up communication responsive to a determination that the user has not clicked the third CTA button within a predetermined time period following completion of a most recent tier occupied by the user.

88. A system for providing personalized Al coaching and gamified progression, comprising:a processor; anda memory storing instructions that, when executed by the processor, cause the processor to:receive user inputs via a user interface;analyze, using an Al coaching module, the user inputs and user profile data to generate a personalized coaching recommendation;track, using a gamification module, user activities and progress;award, using the gamification module, virtual rewards based on user achievements;Attorney Docket No.: 90-10-007update, using the gamification module, user status within a multi-stage progression framework;provide, using a content delivery module, stage-appropriate content to a user based on a current progression stage of the user;administer, using a quiz module, periodic assessment quizzes to users; analyze, using the quiz module, quiz results to determine user progression; and trigger, using the quiz module, stage advancements when quiz score thresholds are met.

89. The system of claim 88, wherein the instructions further cause the processor to: analyze, using a natural language processing component of the Al coaching module, user text inputs to generate contextually relevant coaching responses.

90. The system of claim 88, wherein the instructions further cause the processor to adapt the personalized coaching recommendation according to changes to needs of the user and according to changes in the user's current progression.

91. The system of claim 88, wherein the instructions further cause the processor to: display, using the gamification module, a visual journey map showing user progress across stages;animate, using the gamification module, milestone achievements and stage advancements; andmaintain, using the gamification module, user rankings on one or more leaderboards.

92. The system of claim 88, wherein the instructions further cause the processor to: unlock, using the content delivery module, additional content when users reach new stages or achieve specific milestones.

93. The system of claim 88, wherein the instructions further cause the processor to: facilitate, using a community engagement module, interactions between at least two users, the at least two users defining a community;award, using the community engagement module, points for community participation activities; anddisplay, using the community engagement module, a community engagement score.

94. The system of claim 88, wherein the multi-stage progression framework comprises a plurality of predefined stages, each stage associated with specific content, quizzes, and achievement criteria.Attorney Docket No.: 90-10-00795. The system of claim 88, wherein the virtual rewards comprise at least one of digital badges, gems, icons, or access to exclusive content.

96. A system for personalized Al coaching and gamified progression, comprising: a user interface;a database storing user profile data and content;an artificial intelligence [Al] coaching module configured toanalyze user inputs and the user profile data, andgenerate a personalized coaching recommendation;a gamification module configured totrack user activities and progress, andaward virtual rewards based on user achievements; anda content delivery module configured to provide content to a user.

Images