Digital platform building systems, apparatuses, and methods

Abstract

The present disclosure provides building techniques, apparatuses, and methods for building and assembling structures. A method includes obtaining a design model for a structure; obtaining one or more project parameters; generating a kit-of-parts three-dimensional assembly model corresponding to the design model based on the one or more project parameters; and initiating a user interface comprising a graphical representation of a componentized three-dimensional assembly model based on the kit-of-parts three-dimensional assembly model, the graphical representation of the componentized three-dimensional assembly model comprising a plurality of components selectable from a component library.

Description

DIGITAL PLATFORM BUILDING SYSTEMS, APPARATUSES, AND METHODSCROSS-REFERENCE TO RELATED APPLICATIONS

[0001] This application claims priority to and the benefit of prior filed U.S. Provisional Patent Application No. 63 / 733,430 filed on December 12, 2024, which is incorporated herein by reference in its entirety.INTRODUCTIONField of the Disclosure

[0002] Aspects of the present disclosure relate to techniques for providing systems, methods, and apparatuses that unify design, engineering, and project execution processes.Description of Related Art

[0003] The traditional approach to building design and construction involves building components that are designed and built as part of a particularized system rather than as independent, reusable objects with predefined attributes. In conventional construction, projects follow a linear, sequential approach where each phase of the project progresses step by step. Each part of the building (e.g., walls, floors, mechanical systems) is designed in isolation without modularity or predefined attributes. The design is typically customized for each project, with limited reusability across different projects. These methods have been widely used for centuries and are particularly common in the construction industry, including residential, commercial, industrial, and infrastructure projects.

[0004] The sequential nature of the traditional process follows a linear path from conceptual design to detailed design, procurement, and ultimately construction. This process builds in inefficiencies at every stage. Many components are custom designed for the specific project, often requiring unique specifications and custom fabrication. Typical construction activities take place on-site, where components are built and assembled in real time. The time to build such components on site could be better used by assembling and erecting components. Traditional methods rely primarily on 2D drawings or basic CAD models, with less emphasis on digital collaboration tools like building information modeling (“BIM”). Because phases are done sequentially, the entire process can takeTBX0003WQ more time than more modern approaches, such as design-build or integrated project delivery. Also, changes during construction can be costly and difficult to manage because the design is finalized before construction begins. And, because the design teams and building teams often work separately, there is a higher risk of misunderstandings, miscommunication, omitted information, etc. that can lead to expensive mistakes during construction.

[0005] Therefore, traditional design and construction could significantly benefit from an increase in modularity, reusability, and digital integration. Without such improvements, changes in one area (e.g., structural design) often require significant coordination and redesign of other systems, which can slow down the process and increase the project cost significantly.

[0006] An improved system for designing and constructing buildings that can address one or more of the aforementioned problems of current construction is desirable. Improved methods for constructing building components is also desirable. Improved methods for constructing assemblies for buildings is also desirable. Improved apparatus for facilitating and enabling various features and benefits of such system and methods is also desirable.SUMMARY

[0007] Certain aspects provide a method for project creation, the method comprising: obtaining a design model for a structure; obtaining one or more project parameters; generating a kit-of-parts three-dimensional assembly model corresponding to the design model based on the one or more project parameters; and initiating a user interface comprising a graphical representation of a componentized three-dimensional assembly model based on the kit-of-parts three-dimensional assembly model, the graphical representation of the componentized three-dimensional assembly model comprising a plurality of components selectable from a component library.

[0008] Certain aspects provide a method for automatic model assembly rendering, the method comprising: obtaining a kit-of-parts three-dimensional assembly model, wherein the kit-of-parts three-dimensional assembly model is an adaptive model that is configured for interaction within a user-interface; establishing an interface with a real-time cost and material dataset, the real-time cost and material dataset is configured to be dynamically updated with changes to at least one of cost, performance; obtain, from an input throughthe user-interface, an adjustment to a parameter of the kit-of-parts three-dimensional assembly model; updating the kit-of-parts three-dimensional assembly model and one or more associated parameters; and rendering, within the user-interface, an updated kit-of- parts three-dimensional assembly model and indication of the one or more associated parameters.

[0009] Certain aspects provide a method of automatic issue generation, the method comprising: obtaining a kit-of-parts three-dimensional assembly model, wherein the kit- of-parts three-dimensional assembly model is an adaptive model that is configured for interaction within a user-interface; executing an artificial intelligence module trained to analyze the kit-of-parts three-dimensional assembly model; automatically generating, with the artificial intelligence module, an issue; causing an indication corresponding to the issue to be displayed in the user-interface, wherein the issue is selectable through the user-interface; and in response to a selection of the indication, outputting a recommendation for a resolution to the issue through the user-interface.

[0010] Certain aspects provide a method of automatic sequencing, the method comprising: obtaining a kit-of-parts three-dimensional assembly model, wherein the kit- of-parts three-dimensional assembly model is an adaptive model that is configured for interaction within a user-interface; generating a sequence of installation tasks, the sequence of installation tasks comprising a build process for assembling components of a structure corresponding to the kit-of-parts three-dimensional assembly model; generating a visualization of the sequence of installation tasks, wherein the visualization comprises an animation of a construction of the structure modeled by the kit-of-parts three-dimensional assembly model; and outputting the visualization within the userinterface, the user-interface comprising visualization controls to navigate the visualization and interact with the sequence of installation tasks.

[0011] For a better understanding of the aspects and improvements described herein and of the advantages and objectives attained through its use, reference should be made to the figures and to the accompanying descriptive matter, including the various appendices included and referenced herein, in which there is described example embodiments and additional information. This summary is merely provided to introduce a selection of concepts that are further described below in the detailed description and is not intended to identify key or essential features of any claimed subject matter, nor is it intended to be used as an aid in limiting the scope of any claimed subject matter.BRIEF DESCRIPTION OF DRAWINGS

[0012] The appended figures depict certain features of the various aspects described herein and are not to be considered limiting of the scope of this disclosure.

[0013] FIG. 1 depicts an illustrative platform.

[0014] FIG. 2 depicts an illustrative project user-interface.

[0015] FIG. 3 depicts an illustrative initiation of a project as viewed in the project user-interface.

[0016] FIG. 4 depicts another illustrative view of the project user-interface.

[0017] FIG. 5 depicts a further illustration of the project user-interface.

[0018] FIG. 6 depicts a further illustration of the project user-interface that includes one or more modular UIs including but not limited to a project timeline.

[0019] FIG. 7 depicts an illustrative system for implementing the platform.

[0020] FIG. 8 depicts an illustrative schematic of a controller.

[0021] FIG. 9 depicts a flowchart of a method.

[0022] FIG. 10 depicts a flowchart of another method.

[0023] FIG. 11 depicts a flowchart of another method.

[0024] FIG. 12 depicts a flowchart of another method.DETAILED DESCRIPTION

[0025] Aspect of the present disclosure provide apparatuses, methods, processing systems, and computer-readable mediums related to techniques for unifying design, engineering, and project execution processes. Certain aspects of the techniques include integrating multiple technologies that, when operating together, provide multiple technical improvements to workflows and technology utilized for designing, engineering, planning, and executing building projects, such as mass timber manufacture and construction projects.

[0026] Certain aspects of the present disclosure provide systems for designing, manufacturing, and constructing a building, and methods and apparatuses corresponding to the same. More specifically, the present disclosure relates to improved systems,TBX0003WQ methods, and apparatus for designing, planning, estimating, scheduling, and constructing buildings, and building assemblies, of various natures, sizes, and purposes.

[0027] For the sake of convenience, the techniques described herein are discussed and depicted for use in mass timber construction. However, the system and its methods and apparatus are not limited to such construction type. The techniques and corresponding components described herein may be utilized in a variety of construction types, such as metal frame (e.g., aluminum, steel, or other similar materials), concrete, wood, glulam (e.g., glued laminated timber), and the like. The techniques may be used in constructing projects including residential, commercial, industrial, or other forms of buildings or projects.

[0028] The present disclosure describes multiple aspects of the techniques with respect to system components, computing architectures, and user-interface centric workflow features and operations. As described in more detail herein, aspects include interactive tools or visual outputs that translate user inputs into tangible results, such as the generation of a 3D build plan, cost estimates, schedules, and the ability to visualize and implement real-time data and adjustments to a building plan, materials, schedule, and the like.

[0029] As used herein, the term “near real-time” refers to events occurring slightly slower than “real-time,” which refers to instantaneous or action happening at once. The term “near-real time” may include a margin of time required for processing to be carried out with a computing device.

[0030] Certain aspects will now be described in more detail with reference to the figures.

[0031] FIG. 1 depicts an illustrative platform 100 of the present disclosure. In general, the platform 100 described herein may include a Copilot 110 that contains and / or is communicatively coupled to components, such as Projects 120, Typekit 130, and Rails 140.

[0032] Certain aspects implement a copilot. Copilot 110 refers to the orchestration and user-interface that provide multiple functions including, but not limited to, authoring projects 120, configuring and maintaining Typekit 130 matching via Rails 140, and executing projects end-to-end by building a data-rich project model. In certain aspects, Copilot is a context and analysis layer of a platform that can build a query able projectTBX0003WD model from Rails and Typekit, generate surfaces KPIs (e.g., that help a track progress toward an objective), run difference analysis (diffs.), execute what-if analyses, and drives exports and / or integrations (e.g., CNC (e.g., the automated control of machine tools by computers), shop drawings, logistics, scheduling, and business intelligence). In certain aspects, Copilot provides read-only effective views for deterministic analytics and governed write paths for approved changes of engineering plans and other aspects of a project.

[0033] Copilot provides the contextual analysis workspace and integration surface. In certain aspects, Copilot assembles the effective project model (Rails decisions, Typekit lineage, and external data), enables KPI exploration and what-if simulation, and controls downstream tools such as CAD / CAM, logistics, scheduling, and business intelligence without coupling analytics to any single vendor. In certain aspects, Copilot enables the navigation of a project through its evolution from project criteria into manufacturable building systems and carries those decisions through execution. In certain aspects, Copilot deliberately separates demand (project constraints and targets) from supply (a versioned kit of preconfigured systems) and maps the two deterministically on a dual-layer graph, so every selection is explainable, repeatable, and auditable. In certain aspects, the duallayer graph may include a spatial wireframe that is bound to a relational or state intelligence graph. The physical and chronological dependencies support configuration, analysis, sequencing, and monitoring thereby enabling finite element (FEM) analysis hooks, dependency-aware planning, and execution state tracking.

[0034] Projects can declare constraints and targets. Rails, which may include a Design, Manufacturing, Logistics, and Assembly (DMLA), DMLA-structured engine (Design, Manufacturing, Logistics, Assembly) that evaluates project criteria against Typekit, which as discussed herein is a curated, versioned repository of materials, components, assemblies, and chassis. Project criteria may include project requirements, such as constraints, preferences, targets, that should be satisfied by selected products. The degree-based binding lets teams choose how tightly a project aligns to the Typekit, from properties-only through full chassis, while preserving project-level overrides and clear precedence. In certain aspects, degree-based binding refers to projects that can bind at properties, components, assemblies, or chassis and associate a binding degree to the binding that governs precedence between Typekit defaults and project overrides while preserving local geometry and layout edits. The configuration layers within DMLA mayTBX0003WD include, for example, code lookup (design), supplier data and / or capacity data (manufacturing), freight and / or handling (logistics), and productivity and / or equipment (assembly).

[0035] Through application programming interfaces (APIs) and the Model Context Protocol (MCP), copilot communicatively couples the orchestration platform to external systems, such as, but not limited to, analysis components, computer aided drafting (CAD / CAM) systems, logistic systems, digital twins, robotic apparatuses, business intelligence (BI) platforms, and / or the like with strong governance and reproducibility. As used herein, MCP refers to a technical infrastructure that is configured to connect artificial intelligence (Al) applications to one or more systems, for example, external systems. For example, using MCP, Al applications like Claude or ChatGPT can connect to data sources (e.g. local files, databases), tools (e.g. search engines, calculators) and workflows (e.g. specialized prompts), thereby enabling them to access key information and perform tasks.

[0036] As used herein, “projects” refer to aspects that include an authoritative container for the real -wo rid build context. In certain aspects, projects include versions (and version control), a project graph, such as wireframe or intelligence graph, and Design, Manufacturing, Logistics, and Assembly (DMLA) configurations. In certain aspects, projects set a binding degree to a Typekit via Rails and records override for audit and difference analysis (diffs.). A project graph may refer to a dual-layer representation inside a project that includes a wireframe (e.g., including spatial geometry) and an intelligence graph (e.g., relational, temporal states and dependencies) that may be used for criteria propagation, matching, analysis, and execution sequencing.

[0037] As used herein, “Rails” refer to aspects that include a domain layer and engine. Engine may refer to software components or subsystems that process data, execute complex logic, and perform specific tasks. An example of an engine may be a computing device. In certain aspects, Rails implements the DMLA schema, graph classes, and traversal rules. In certain aspects, Rails performs constraint-based matching and propagation, computes key performance indicators (KPIs), and centralizes testable business logic while projects and catalog evolve independently. In certain aspects, Rails includes an opinion system and dominance pruning to resolve ties and remove strictly inferior candidates. In general, candidates may refer to Typekit objects including theirTBX0003WD properties, components, assemblies, and / or chassis that may be eligible to satisfy the criteria.

[0038] As used herein, “Typekit” refers to a curated, versioned repository of materials, components, assemblies, and chassis, that include, for example, objects and subgraphs with bounds, connections, capability envelopes, GUIDs, and lineage. In certain aspects, a Typekit may be optimized across DMLA and backward-compatible via semantic versions and deprecation rules.

[0039] In certain aspects, project criteria can be decoupled from products, such as mass timber components, nodes, and the like. For example, the criteria defined by a project 120 may evolve independently of product catalogs. Rails 140 can select by properties and constraints and not by catalog ID and then record the resulting selections as with reference to a Typekit IDs for audit. This keeps selection explainable and portable across Typekit versions. In certain aspects, a Typekit defines objects independently optimized across DMLA with versioning, deprecation, backward compatibility, region-of-validity, and explicit override precedence when mapped to project graphs. Each object maps to its physical counterpart via stable globally unique identifier (GUIDs), which are assigned to Typekit objects for traceability and reproducibility.

[0040] In certain aspects, the platform implements a variety of techniques that provide intelligent project execution. To do so, the platform utilizes a dual-layer graph, hierarchical composition, and dependencies and state-based planning techniques. As discussed herein, the dual-layer graph may include a spatial wireframe that is bound to a relational or state intelligence graph. The physical and chronological dependencies support configuration, analysis, sequencing, and monitoring thereby enabling finite element (FEM) analysis hooks, dependency-aware planning, and execution state tracking.

[0041] The hierarchical composition structures data objects, such as core objects (e.g., project and components) to hold root properties. The assemblies and the chassis are structured as reusable subgraphs that add higher-order intelligence, grouping, and sequencing without losing editability at the node level. Additionally, in certain aspects, the platform may be configured to perform operations by executing through defined states, such as manufacturing, fabrication, shipping, on-site, and assembly, with explicit physical and predecessor dependencies. As a result, grouping and / or batching operations supports assembly and / or chassis progression and monitoring.TBX0003WQProject Creation and Project Intelligence

[0042] The following provides details regarding the technical features of the platform and the corresponding processes including project creation and project intelligence. FIG. 2 depicts an illustrative project user-interface 200 that may be implemented by the platform for creating or importing a project.

[0043] Aspects described herein provide processes for creating a new project in the platform (or importing one) and generating an initial component-based building plan from a high-level design input. The platform may be deployed on or with one or more computing devices. In certain aspects, the workflow may begin with obtaining a design model and one or more project parameters. For example, a user may provide an input design model (e.g. a conceptual building geometry or wireframe), along with project parameters (like design criteria, building code requirements, preferred materials, etc.). In certain aspects, for example, a user may select from pre-bundled solutions (e.g., predefined home kits) from Typekit (e.g., a Typekit catalog).

[0044] The proj ect user-interface 200 may include a plurality of input fields to receive project parameter corresponding to aspects such as project information, manufacturing (e.g., supplier facility) logistics (e.g., shipping methods, Typekit Hub), assembly (e.g., install information such as crews, deployment method, and the like), and one or more input fields. In certain aspects, the project user-interface 200 may include an input for receiving a building design input, which could be an uploaded geometry file or a selection of an existing model (for example, importing from Speckle). Additionally, the system gathers project parameters through a settings form (e.g. project name, site location, building code region, client preferences, etc.). If imported, the platform can simultaneously create an external building information modeling (BIM) entry and links it via an identifier (e.g., an external id) to the internal project. For example, the platform may be configured to receive, via a user-interface, project data including a design geometry or external model reference and one or more project criteria / constraints.

[0045] Upon input, the platform may automatically create an internal project record and trigger the creation of a corresponding external project (e.g. a Speckle project) to sync design data. This dual creation ensures the project is linked to external design data in realtime. In other words, the platform may be configured to automatically create an internalTBX0003WD project entry and a linked external project in a BIM service, establishing a sync relationship, which is a unique integrated step not found in generic CAD tools.

[0046] In certain aspects, the platform 100 may include an intelligence component. In certain aspects, the intelligence component may be an Al based agent that is configured to be context aware of the user-interface and actions implemented through the userinterface. In certain aspects, the intelligence component is integrated through the Copilot component and interactable through a corresponding user-interface component therein. The intelligence component will be discussed in more detail herein as operations of the platform are discussed further.

[0047] A guided project creation flow may span multiple stages of the platform (e.g., layout, engineering, engineering, manufacturing, logistics, assembly) is an innovative user-interface approach to capturing all necessary information. At each step, the user might adjust settings specific to that domain (e.g. select a Typekit for the project during the “Engineering” step, choose a manufacturing template or logistics options in subsequent steps). For example, the platform may be configured to present a multi-step project configuration interface that sequentially collects design, engineering, manufacturing, logistics, and assembly inputs from the user. By the end of this flow, the system may obtain all the criteria needed for the Rails engine to run the matching process.

[0048] In certain aspects, the platform (e.g., via the Rails engine) transforms that input into a detailed kit-of-parts 3D assembly model. The transformation process implemented by Rails may map the input geometry to actual structural components from the Typekit catalog and generate a component-level 3D assembly model. For example, the platform is configured to, upon receiving the design and criteria, automatically performs one or more processes. In certain aspects, the one or more processes may include: (i) deriving a structural graph (or “intelligence graph”) from the input geometry, which may include extracting structural elements and constraints (spans, loads, connections) from the design; (ii) querying a library of pre-defined components (Typekit) based on the derived constraints and project criteria; and (iii) selecting appropriate components and assembling an output model that represents the building as a kit-of-parts. The output is a fully realized kit-of-parts 3D model composed of specific beams, columns, panels, etc., each chosen from the catalog. In certain aspects, the kit-of-parts may further include other components beyond structural components. For example, the kit-of-parts catalog may include enclosure panels, finish systems, and more or other components. ThisTBX0003WD transformation from a high-level design to a detailed engineering solution provides a realtime, updatable, and fully configurable efficient project initiation process that current solutions do not offer. More specifically, current solutions do not integrate design, engineering, assembly, logistics, and the like together in one platform where each may be linked together such that real-time changes to one may cause a correlative update to each of the other aspects. Furthermore, unlike standard CAD tools, which require manual detailing, the platform produces an executable build plan in real-time. In certain aspects, this enables each component selection to be explainable and repeatable because the engine uses deterministic rules, so the same input yields the same result, for example, captured by a run fingerprint. For example, the platform may be configured to componentize a 3D assembly output from the design input by deterministic matching against a parts library.

[0049] In certain aspects, the design input may be an architecture sketch (which may not include specified components or assemblies), a CAD model, or other representation of a building model.

[0050] In certain aspects, the user may fill out a project settings form, which may include an option to import a design from an external BIM source such as Speckle, and initiates a multi-step “Create Project” flow. This multi-step flow might guide the user through stages (e.g. Layout — Design / Engineering — Manufacturing — Logistics — Assembly) to configure the project, and upon completion, the platform creates a project record (in a project database) as well as an external reference (e.g. creating a linked project in Speckle for BIM data sync). In certain aspects, the platform, in concrete with Rails, may generate an initial Project Version that includes a componentized 3D model, for example, with all structural components selected from the Typekit library, and ties that version to the project’s chosen Typekit and configuration. In essence, this workflow bridges the gap between a conceptual design and a manufacturable building system by deterministically mapping the input to real components. FIG. 3 depicts an illustrative initiation of a project as viewed in the project user-interface 300. The project userinterface 300 may include an interactive view of the model 310, one or more modules 320 (depicted in FIG. 4), such as a chart, timeline, data, or the like and the Copilot interface 350. FIG. 4 depicts another illustrative view of the project user-interface 300 that includes a detailed kit-of-parts 3D assembly model 315.TBX0003WD

[0051] In certain aspects, the kit-of-parts 3D assembly model 315 may be generated based on an input sketch, model (e.g., CAD), or other design input and converted to the kit-of-part through operations of Rails. For example, the dual-layer graph linking the spatial design (e.g., a wireframe) to an intelligence graph of dependencies underpins how assembly order and constraints are understood. A constraint- solving algorithm may be utilized to select components based on hard constraints like structural requirements and soft constraints like cost optimization and may further use techniques like dominance pruning or an “opinion system” to break ties. In certain aspects, the user-interface may permit the user to tweak certain inputs like adjusting a “binding degree” to determine how strictly to adhere to standard kit components, or altering a parameter and rerun the generation, instantly updating the build plan. This interactive “what-if’ capability may be interconnected with the Estimator feature described in more detail herein. For example, the user may adjust a project parameter, and the system regenerates the component-level model in real-time or near real-time.

[0052] The Copilot 350 sidebar may facilitate navigation and operate as the command center of the platform. Certain aspects of Copilot 350 feature a context-aware set of controls that adapts to the user’s current context, for example, whether the user is on a home screen, within a project, or in a project creation flow. The Copilot 350 interface includes a header with quick-action buttons, a dynamic tab menu, and a footer that serves multiple purposes. In certain aspects, Copilot 350 includes interactive elements such as a set of header action buttons for common actions like chat, issue information and correspondence, Typekits, and the like. In certain aspects, Copilot 350 includes interactive elements such as a Flows dropdown or similar menu that fdters available tabs based on context, for example, showing different navigation options on the project dashboard vs. inside a specific project, an automatic loading of appropriate UI layouts when certain tabs are selected, and a multi-purpose input footer that switches modes between an Al chat prompt and an issue comment box depending on what the user is doing. In general, the navigation system of Copilot 350 intelligently presents respective tools at the right time based on context and / or other actions taken in the platform and streamlines the interface by being aware of the user’s context and selections.

[0053] The context-aware navigation system that orchestrates the user-interface, for example, includes multiple aspects including, but not limited to, dynamic header actions,TBX0003WD flows or context dropdown, template auto-load on tab switch, multi-purpose footer input, tab groups by context, or the like.

[0054] In certain aspects, the user-interface may include header action buttons that provide one-click access to key features, such as opening the chat, issue list, or Typekit library in any context. For example, when the user is within a project, these may be active or bring up project-specific panels, for example an action of clicking “Issues” opens the issue panel for that project.

[0055] In certain aspects, a navigation element (e.g., a dropdown or menu) may be configured to update the available tabs or views based on the current route or context. For example, when on a project page, the menu shows tabs like Model, Grid, Performance, Schedule, Budget, Settings, but on the home screen it might show different options. This context-sensitive tab grouping ensures the user-interface only shows relevant sections. The platform may be configured to detect a current context or route and dynamically present a set of navigation tabs corresponding to that context.

[0056] In certain aspects, when a user selects a particular tab, the system may automatically load a linked user-interface layout or template for that tab. For instance, if the user clicks the “Schedule” tab within a project, the interface loads the pre-defined Schedule layout (timeline and a 3D model view). This behavior may tie to modular userinterface templates. For example, the platform may be configured to upon receiving a tab selection, loading a mapped layout template into the modular panel. This can ensure a seamless transition between different functional views.

[0057] As noted herein, the platform’s Copilot interface may use a modular gridbased user-interface that allows users to customize their workspace by arranging various panels or widgets into a resizable grid layout. Users can choose different widget types for each panel (e.g. 3D model view, 2D grid view, charts, tables, timeline, etc.), configure the layout by adding / removing panels or rows / columns, and save these layouts on a perproject basis. The platform may provide default template layouts for common workflows (e.g. a “Model” layout, “Schedule” layout, etc.) and can automatically restore a user’s last active layout when the project is reopened. This flexible user-interface lets each user tailor the interface to their needs while preserving a consistent underlying structure across the platform.TBX0003WQ

[0058] In certain aspects, the panel grid interface, such as the user-interface 300 depicted in FIGS. 3-5, can provide a resizable panel grid, a dynamic layout configuration, layout saving and auto-restore, template layout mapping, and / or the like. The resizable panel grid can provide a resizable, drag-and-drop grid of panels, where each panel is bound to a selected widget type (e.g. model view, schedule timeline, chart, table, etc.). This includes the ability to resize panels and the grid’s responsive adjustment to different window sizes. The dynamic layout configuration enable user inputs to make changes to the user-interface, such as adding or removing rows / columns of the grid and to move panels around, for example, via drag-and-drop, within the layout. For example, a user can add a new column of panels or rearrange widgets by dragging a panel’s handle to a new position. In certain aspects, upon a user command (e.g. “Save Layout”), saving the custom layout that includes the configuration of each panel / widget in association with the project, and automatically restoring that saved layout when the project is reopened. The platform may be configured to store the layout, optionally with an identifier or name linked to the project and reloads it on subsequent sessions, providing a seamless persistent workspace. In certain aspects, any linked chart components in the layout are preserved by reference so that they reappear with the same configuration.

[0059] The template of the user-interface may enable predefined template layouts and mapping of user-interface contexts or tabs to those templates. For instance, when the user switches to a “Model” tab, the interface can auto-load a saved Model layout template (with a large 3D model panel) versus switching to a “Schedule” tab loading a timeline and model split layout. This context-aware template loading ensures the user-interface presents relevant panels by default for different workflows.

[0060] Referring back to Copilot 350, a Copilot footer 355 may contain an input box that serves dual purposes depending on context. In certain aspects, such as a general browsing mode or when no issue is selected, this input acts as a chat prompt (“Ask a question...”) to interact with the Copilot Al assistant. However, if the user has an issue or comment thread selected, the same input box switches to a comment mode (“Add a comment...”) for that issue. This dynamic mode-switching of the input field is a unique user-interface behavior. In certain aspects, the platform may be configured to switch the function of a text input between an Al query interface and an issue comment interface based on the user’s selection context. Furthermore, the organization of navigation tabs into groups (for example, tabs that appear only under certain top-level contexts likeTBX0003WD“Root” vs “Project” vs “Create”) and the logic that switches these sets can be implemented to further enable context-awareness of the navigation. For example, FIG. 5 depicts a further illustration of the project user-interface 300 and an illustrative example of interactions between a user interacting with the platform and Copilot 350. For example, the correspondence portion 356 of Copilot 350 may automatically provide inquires in response to actions taken by the user, such as clicking on a portion of the model, entering a question in the Copilot footer 355, or other action within the platform. The correspondence portion 356, as discussed in more detail herein, may also automatically bring issues with the model or the project to the user’s attention.Estimator Interface for Real-Time Feedback

[0061] In certain aspects, the platform described herein may further include an interactive estimator tool that provides real-time feedback on cost, material usage, or other performance metrics as the user adjusts the design. For example, the interactive estimator tool provides a “what-if’ analysis feature tightly integrated with the 3D model where users can tweak structural or material parameters (e.g. change a beam’s span, choose a different material grade, alter spacing, etc.) and where the system instantly recomputes outcomes like total cost, estimated waste, structural performance indicators, carbon footprint, etc., for the updated design. This closed-loop interface helps users optimize their designs for cost-efficiency and sustainability on the fly, bridging design decisions with quantitative results. The estimator might be presented as a set of input controls (sliders, dropdowns, toggles) alongside the 3D model, and outputs might be shown as updated values, charts, or color-coded highlights on the model (e.g. highlighting expensive components). While the interactive estimator tool is described as being implemented with respect to the platform, there may be instances where the interactive estimator tool can be deployed as an independent tool for use by project teams or personnel, such as architects, engineers, contractors, real estate developers, or the like, not just estimators interacting with the platform described herein.

[0062] In certain aspects, the platform described herein may be configured to present interactive user-interface controls that allow the user to modify design or build parameters in real time. For example, the interface might show sliders for key structural constraints (like “Max span length”), dropdown menus for material selection, for example, such as switching a component from glue-laminated timer (GLT) to cross-laminated timberTBX0003WQ(CLT) wood, or to steel, or checkboxes to include or exclude certain component types. In certain aspects, the platform may be configured to present one or more input elements (sliders, fields, etc.) in the GUI for adjusting design parameters or constraints for a building model.

[0063] In certain instances, upon each user adjustment, the system or computing device configured to deploy the platform may automatically regenerate the componentlevel build or recalculates the model according to the new parameters. For example, in response to receiving a changed parameter input, the platform recomputes a componentized building plan (or an updated bill-of-materials) reflecting the change. This could involve re-running the Rails matching engine with the new constraint or simply updating calculations. In either instance, the operations may be performed seamlessly while the user waits only a moment, for example, in real-time or near real-time.

[0064] In certain aspects the cost and performance metrics can be updated immediately (e.g., in real-time or near real-time) as the design changes. For instance, the user-interface might display total project cost, material volume, waste percentage, or structural efficiency scores, and these numbers (or charts) change instantaneously when the user moves a slider. In other words, the platform may be configured to compute and display, substantially in real-time, updated quantitative metrics (cost, waste, etc.) for the modified design. This dynamic feedback loop gives the user insight into the consequences of their adjustments without any separate analysis step, which is a significant technical improvement over traditional manual recalculation workflows.

[0065] In some instances, the platform may actively suggest optimizations (e.g. “If you reduce this beam size, you can save X cost”). In certain aspects, the system might iterate through combinations to suggest an optimal solution. For example, the system may automatically searching for a cost-optimal configuration that meets constraints and presents that to the user or automatically moves the sliders to that optimum. For example, the system identifies an over-engineered component and recommends a lighter alternative to save cost. More specifically, this adds an Al-driven element to the estimator.

[0066] The user-interface may include unique visualizations for the estimator. For example, this may include a distinctive layout where, for example, the 3D model is on one side and a cost bar or pie chart is on the other side updating in real time, or optionally,TBX0003WD if expensive components in the model are highlighted in red when over budget, for example.

[0067] In certain aspects, the estimator tool may include a cost calculation engine that is configured to aggregate prices from the Rails DMLA data model and any waste calculation formulas. The platform can use internal pricing databases defined in Rails and algorithms to compute cost based on lengths, volumes, labor, or the like.3D Model Interaction and Issue Management

[0068] In certain aspects, the platform described herein may further enable 3D model interaction and issue management processes. In certain aspects, the platform’s 3D model viewer accepts interactions and the integrated issue or punch-list management system, include both manual issue creation and Al-assisted issue generation. For example, through Copilot 350, users can navigate and inspect the 3D project model with rich controls: selecting individual components, filtering by properties, cutting sections, exploding the view, adjusting camera angles and lighting, etc., to fully explore the design in detail. Coupled with this is an issue management system that lets users attach notes or “pins” to specific components in the model. A user or the system automatically can create an issue associated with a location or element in the 3D model, for example, flagging a clash, a design concern, or a to-do item, which then appears as a pin / icon in the 3D view and has a corresponding text thread. The system’s Al can analyze the model and automatically generate certain issues or recommendations, such as identifying a missing connection or a component out of compliance. These features create an intelligent 3D checklist or review layer within the design environment, streamlining collaboration and quality control.

[0069] In certain aspects, the user-interface can provide multiple modes for inspecting the 3D model. For example, the user-interface may enable the ability to select a component (e.g., by highlighting the component and showing its details, filter components by criteria (e.g., by hiding or showing based on properties), apply section cuts to see cross-sections of the model, explode the model (e.g., by separating components for clarity), and adjust camera views and lighting. These interactions may be integrated through an exploded view of the model and / or a filter in a web-based model viewer. For example, the platform may be configured to provide a 3D model viewer with tools to isolate components (filter, section) and an explode view for detailed inspection.TBX0003WD

[0070] In certain aspects, the user-interface may receive a user input selecting a particular model element and attaching an issue note to that element. When an issue is created, the system can drop a pin marker in the 3D scene at that element’s location. That pin can be interactive such that by clicking it will open the issue’s details. This offers a technical improvement over traditional issue trackers which are often separate from the model.

[0071] In certain aspects, when logging an issue, the platform allows capturing a stateful screenshot of the 3D view. This screenshot may not just be a flat image; instead it may record the exact view state: camera angle, zoom level, any active fdters or section cuts, lighting settings, and display style at the moment of capture. In certain aspects, the platform can be configured to store a snapshot of the 3D scene including viewpoint and visualization settings in association with the issue. This means later on, anyone viewing the issue can restore that view to see the problem exactly as identified. This aspect offers a powerful way to contextualize issues.

[0072] In certain aspects, in the user-interface, issues can be displayed in an issue panel or list and simultaneously represented by pins in the 3D view. Selecting an issue from the list could highlight or zoom to the pin in the model, and conversely clicking a pin in the model opens the issue thread. In certain aspects, the platform can be configured to display an issue indicator on the 3D model at the associated component, and in response to selecting the indicator, display the linked issue details in the user-interface. In certain aspects, the platform can be configured such that selection of the issue in a list could trigger a highlight in the 3D view.

[0073] In certain aspects, an Al component can automatically create or suggest issues based on the model state. For example, the system might detect that two components overlap (clash) or that a certain structural member is out of spec, and it can auto-generate an issue note about it. In certain aspects, the platform may be configured to implement an artificial intelligence component that analyzes the 3D model and automatically generates an issue annotation upon detecting a predefined condition. For instance, where the system, without user input, adds an issue tagged to a model component if that component violates a design rule or is likely problematic.

[0074] The platform may further include operations and a user-interface for simulating an installation sequence and schedule visualization. In certain aspects, theTBX0003WQ platform includes tools for simulating the construction and / or assembly sequence in time, which may be referred to as 4D scheduling and linking that sequence to manufacturing and delivery data. Given a fully componentized design, the output of Rails for a project, the system can compute an assembly order and essentially determining which component is installed first, next, etc., based on structural dependencies and construction logic. In certain aspects, the platform may be configured to generate a visual project timeline (FIG. 6) or Gantt chart that represents this sequence over time. For example, FIG. 6 depicts a further illustration of the project user-interface 300 that includes one or more modular UIs including but not limited to a project timeline. In certain aspects, the schedule may include integration of manufacturing and logistics information, such that the schedule accounts for when components will be fabricated in the factory and delivered to site, enabling a just-in-time assembly plan. On the user-interface side, this functionality is typically presented as a Schedule Timeline widget 360 possibly synchronized with the 3D model view 315. In such instances, an animation of the building being assembled can be generated and played within the user-interface 300. Users can visualize the construction process end-to-end, seeing how on-site erection steps coordinate with offsite production.

[0075] The system may automatically determine a logical installation order of components from the project’s dependency graph. For example, the platform can ensure that columns are placed before beams that rest on them, or that lower floor panels are installed before upper floor panels, etc. The platform may be configured to analyze the relationships between components in a structural model to generate a sequence of installation tasks that respect all support and adjacency dependencies. In certain aspects, this may involve a topological sort of the project graph, which is acyclic for build order. It is noted that the logical installation schedule can be derived automatically from the design data and not manually scheduled.

[0076] From that sequence, the platform may generate a visual timeline of construction tasks. For example, in certain aspects, the platform may be configured to generate a time-sequenced schedule of installation events for the components. Each component (or group of components) may become a task with a start and end time. This can be displayed as a Gantt chart or similar timeline in the user-interface. This can be done within the design platform directly from the model data, rather than in a separate project management tool.TBX0003WD

[0077] In certain aspects, the incorporation of external domain data, such as the manufacturing lead times and delivery logistics into the schedule, the platform knows, for each component type, how long fabrication takes (e.g. a panel might take 2 weeks to produce) and maybe which batch it’s in, as well as shipping schedules. Accordingly, this can adjust the assembly timeline accordingly thereby ensuring components are scheduled for install only after they’re expected to arrive. In certain aspects, the platform may be configured to adjust the installation schedule based on production lead times and delivery dates for each component, thereby aligning on-site assembly with off-site availability. In other words, this is essentially a just-in-time scheduling innovation. For example, in certain aspects, the platform may be configured to determine an installation date for a component based on an associated factory completion date and transit time.

[0078] In certain aspects, the user-interface can include playback controls (play / pause, fast-forward, etc.) to animate the construction sequence. In certain aspects, the platform may be configured to display a timeline of construction and a 3D view of the model and synchronize the visibility or state of model components with the timeline’s progress. For instance, as the timeline plays, components appear or highlight in the 3D model in the order they are installed.

[0079] In certain aspects, the platform may include controls like play, pause, reset, loop that allow the user to navigate the simulation, which may be implemented as userinterface elements. Furthermore, interactions such as selecting a particular component in the 3D view could scroll to or highlight its corresponding task in the timeline, and selecting a task in the timeline could zoom to or highlight that component in the 3D model.

[0080] In summary, the platform provides for automatically generating a construction sequence and visualizing it in sync with a 3D model, and the platform enables this in a single platform where multi-domain scheduling (e.g., design, manufacturing, and logistics) are unified. This is something not present in conventional CAD or project management tools.

[0081] In certain aspects, the platform can provide a specialized user-interface to navigate and edit the Rails pricing database, for example, a data table representing material, labor, equipment pricing information in a hierarchical structure. The Rails database may be organized hierarchically, (e.g. components to assemblies to activities toTBX0003WQ work packages to chassis to configuration) and the user-interface may offer an intuitive way to browse and update this data. The user-interface may feature a breadcrumb navigation at the top to indicate and control the current level. For example, this may enable a user to drill down into a specific Market and Species. In certain aspects, the content can be a virtualized table listing entries, for example, showing various sizes and their attributes like price, source, or the like, which can handle large datasets efficiently by only rendering visible rows. Users can perform a global search to filter the entries across the hierarchy, for instance, searching for a specific size or grade. Additionally, the table can allow for inline editing of value, for example, updating a price or a specification by directly clicking on a cell, with changes being saved back to the database in real-time. This feature essentially gives a user-friendly face to a complex pricing database, enabling quick navigation, querying, and editing without writing queries or using external tools.

[0082] In certain aspects, the platform may include a widget system for data visualization that supports multiple chart types (heatmaps, line charts, bar charts, area charts, tables, etc.) using a unified configuration and interface. Instead of treating each chart as a custom implementation, the platform may use a single modular component that can render different types of charts based on a provided chart configuration object. This configuration might specify the chart type and data series to display (for example, X-axis, Y-axis, data series values, color settings, etc.) in a standardized format. The user-interface may allow users to add new chart panels into their layout on the fly and configure them without coding. When a user adds a chart widget, they can select the type of chart and the data to visualize; the system then instantiates the appropriate chart. Importantly, when the user saves the layout (as discussed in Modular user-interface), the system stores the chart’s configuration and identifier with the layout so that it can be restored later. This system can also ensure consistent look-and-feel across charts, optionally with a unified theming, tooltips, responsiveness to panel resizing, etc.

[0083] The platform can employ a single chart widget component that can manifest as different chart types depending on input config. In certain aspects, the platform may be configured to include a widget engine that receives a chart configuration object and based on a chart type parameter within, instantiates a corresponding chart (heatmap, bar, line, area, or table) within the user-interface. In certain instances, one component handles all chart types via config, which is more flexible than having separate hard-coded widgets for each chart. Additionally, in certain aspects, the charts may be designed to beTBX0003WQ responsive (adapt to the panel size) and have consistent interactive features like tooltips. For example, the platform may be configured to render the chart such that it automatically adapts to the size of its container and provides interactive tooltips for data points.

[0084] Users can add a chart widget on the fly, for example, via an “Add Chart” button in the user-interface. In certain aspects, the platform may be configured to receive a user input to add a new chart panel to the current layout, present options to select chart type and data, and upon selection, display the configured chart in the layout. Once added, the chart (with its specific config) may be linked into the layout’s saved state. For example, when the user saves the layout, the system stores the chart’s identifier and config so that the same chart reappears on layout restore. In certain aspects, the platform may be configured such that an identifier persists for the chart and its configuration in association with the user’s saved layout, such that the chart is automatically recreated when the layout is reloaded.Data-Driven Analytic Features and Typekits

[0085] In addition to the interactive user-interface workflows discussed herein, the platform may include data-driven functionalities that enhance its intelligence and adaptability. These features may use external data or advanced algorithms to produce tangible outputs like new design components or optimization suggestions that the user can ultimately see or use. In certain aspects, two functions in this category are Typekit Generation, which includes the automatic creation of new components or configurations based on data and Typekit Mapping or Optimization, which includes suggesting design modifications to better utilize available components.

[0086] In certain aspects, Typekit generation may be automated and optionally driven by marketable components. In certain aspects, the platform may algorithmically generate new Typekit components or configurations by analyzing external data such as material availability, pricing trends, or performance requirements. In essence, the platform can look at real-world signals, for example, lumber market prices, material property data, or supplier inventory and determine that a new optimal component should be created in the Typekit library. For example, a concrete scenario might include noticing that a certain size of engineered lumber is expensive or scarce, the system might design a new beam layup using more readily available dimensions that achieves the same strength at lower cost. It then adds this as a new component in the Typekit (with a unique ID and metadata),TBX0003WQ so that future projects can use it. This effectively allows the Typekit (the catalog of parts) to evolve dynamically in response to market or engineering data rather than being static. The process might use optimization algorithms (searching for the best combination of materials) and ensures any new component is stored with its lineage (what data influenced it, versioning info, etc.).

[0087] In certain aspects, the platform may be configured to acquire external data inputs relevant to component design. For instance, this could be real-time commodity prices for lumber, availability of certain grades, structural property data of materials, or even trends like carbon footprint per material. In certain aspects, the platform may be configured to receive one or more external data feeds such as material pricing, availability, or performance characteristics.

[0088] In certain aspects, the platform may be configured to analyze the input data to compute an optimal component configuration. The optimal component configuration computation process may include goals such as minimizing cost, weight, carbon, etc. while meeting strength requirements. In such instances the platform may be configured to calculate the best design for a component. In such instances the platform may be configured to use the input data to algorithmically determine an improved or new component design. For example, the operation may be based on current lumber prices and structural grades, computing an optimal cross-sectional composition for a beam that reduces cost per unit strength. This process can involve methods such as linear programming, heuristic search, Al, or the like.

[0089] In certain aspects, the platform may be configured to create a new digital component entry in the Typekit repository based on the computed design. The output of the analysis may not be just theoretical. The platform may be configured to generate a fully defined component with dimensions, material spec, structural properties and adds the component to the curated Typekit library as a versioned product, for example, a plurality of components selectable from a component library. This might include assigning it a GUID, version, and storing metadata like how it was derived. In certain aspects, the platform may be configured to generate a machine-readable component definition and storing it in a versioned component library for use in building projects.

[0090] Unlike static catalogs, the dynamic nature of the Typekit here evolves in response to external factors. In certain aspects, the platform may be configured toiteratively update the component library by repeating the process as new data arrives, thereby evolving available components over time. For example, each new component might carry tags about which data and constraints led to its creation for traceability.

[0091] In certain aspects, the platform may include a Typekit mapping and design optimization suggestion process. These aspects provide techniques for analyzing a project’s current design and suggesting modifications to better utilize optimal or standard components from the Typekit. For example, after a project is generated or during design iteration, the platform can be configured to identify places where the design isn’t using the most efficient components and recommend changes. For example, the platform provides value engineering suggestions by feeding supply-side intelligence back into the design. In certain aspects, for example, suppose a design has an unusually sized beam that isn’t a standard Typekit item, meaning it might be expensive or slow to source. The platform might suggest moving a column slightly so that a standard-length beam can span that gap, eliminating the custom component or the platform might notice that if the user increased a slab thickness slightly, they could use a more common panel type. These suggestions involve tweaking the design geometry or parameters to take advantage of more optimal components (cheaper, more available, structurally better, etc.). This is different from the typical design process in that instead of changing the catalog to fit the design, the design may be changed within acceptable bounds to fit the catalog. The suggestions would likely be presented to the user in the user-interface, who can review and apply them or ignore them. This feature improves cost, efficiency, and constructability by leveraging the intelligence in the Typekit during the design phase.

[0092] In certain aspects, the platform may be configured to analyze a digital building model to identify components that are outside of a preferred set or that do not match any standard Typekit item. That is, for example, the system examines the current project version’s components and identifies any non-optimal or non-standard usage. For instance, find any custom-cut pieces, or instances where a better alternative exists in the Typekit.

[0093] For each issue found, the platform can be configured to find a candidate replacement component from the Typekit that could fit if some design parameters were altered. For example, it might find that a beam of 20’ length was used but if the spacing was 18’ (i.e. two feet shorter), a standard beam of 18’ exists and could be used. In certain aspects, the platform may be configured to determine an alternate component from the library that meets the design requirements with a modification of at least one designTBX0003WQ parameter and determine the necessary modification to the design, for example, by adjusting a spacing or dimension to accommodate the alternate component.

[0094] In certain aspects, the platform may be configured to formulate a suggestion, such as, “Move Column A 2 feet closer to Column B so that Beam X (standard length) can be used instead of the custom beam”. The platform may be configured to generate, by the system, a suggested modification to the building design to enable use of the identified optimal component. The suggestion may include what to change and the expected benefit like cost savings or reduced waste. In some cases, the suggestion is surfaced to the user, likely through Copilot’s interface, for example, as a notification or a list of suggestions. In certain aspects, the platform may be configured to display the suggested design change and associated alternate component via the user interface, allowing the user to accept or reject the change. The user-interface might highlight the affected elements and show a before or after comparison if the user toggles the suggestion.

[0095] If the user agrees, they can apply the suggestion, and the platform will automatically adjust the model (moving that column, etc.) and replace the component with the recommended one. In certain aspects, the platform may be configured to respond to user approval, modify the project model according to the suggestion and updating the bill-of-materials to include the alternate component. This closes the loop of the improvement.

[0096] In some aspects, the platform may include an agentic Al layer where one or more intelligent agents can orchestrate and automate many of the workflows described above. For example, rather than the user manually driving every feature, an Al orchestrator agent could coordinate multiple domain-specific agents (e.g., referred to as “feature-team agents”) to carry out complex tasks across the platform. These agents can leverage the strong data foundation (the Project, Rails, Typekit, Copilot environment) to perform actions like configuration exploration, multi-scenario analysis, report generation, etc., on behalf of the user. For example, the one or more intelligent agents may include a configuration agent and / or a utility agent. A Configuration agent may be configured to automatically varies project parameters (design config, performance targets) to explore alternatives, while a Performance agent team computes outcomes, all coordinated by a higher-level orchestrator to propose the best options. A utility agent may be configured to handle specific tasks such as fetching external data (e.g. pulling carbon data from an API for an LCA report) and populating it into the platform’s widgets. An orchestratorTBX0003WQ agent might respond to a user’s high-level request (via chat) by breaking it down: e.g. “Generate a construction feasibility report for this design” - it could instruct a scheduling agent to run schedule scenarios, a cost agent to compile a budget, a carbon agent to fetch LCA info, then compose the results into a dashboard (using the modular UI’s charts / tables). For example, each agent layer may mirror the structure of the application’s features, such that each major Copilot module could have an Al agent counterpart. The agents can tap into APIs, data, and even user- interface components via the Modular UI framework to carry out tasks automatically. In some aspects, a life cycle assessment agent (LCA) may be implemented and configured to fetch carbon emission data using material quantities from the project by calling an external database or API, and then automatically creates charts / tables using the widget system to present an LCA report in Copilot.

[0097] Agents enhancing partner workflows, for example, a Manufacturing agent for a fabrication partner that automates procurement or optimization tasks using the platform’s data, potentially allowing a pared-down version of the platform to be licensed out with these specialized agents on top.System and Computing Devices

[0098] It should be understood that the platform and aspects described herein may be implemented with one or more apparatuses having one or more computing devices. FIG. 7 depicts an illustrative system for implementing the platform 100 and techniques described herein. In certain aspects, the FIG. 7 depicts one example system 700 implemented via a network 710 configured to perform processes of the present disclosure. The system 700 may include an interconnection of one or more devices, such as a computing device 702, a server 703, and a mobile device 705. The devices may be interconnected over a network 710. The network 710 may include a wide area network, such as the internet, a local area network (LAN), a mobile communications network, a public service telephone network (PSTN) and / or another network. In some embodiments, the network 710 may represent a peer-to-peer type network between devices. As used herein, a controller refers to any one of the computing device 702, the server 703, or the mobile device 705.

[0099] The computing device 702 may include a display 702a, a processing unit 702b and an input device 702c, each of which may be communicatively coupled together and / or to the network 710. The computing device 702 may be a desktop computer, a server 703TBX0003WD or a mobile device 705, such as a personal computer, a laptop, a tablet, a smartphone, an application specification handheld device, or the like. The mobile device 705 may include an input device, such as a touch screen or keypad, and a display.

[0100] The computing device 702 and / or the mobile device 705 may be used to enable the system 700 to access and exchange data with the server 703 (e.g., one or more servers). The server 703 may be configured to perform one or more process steps of the methods described herein. For example, without limitation, the server 703 may be configured to provide a web-based application to a computing device 702 or a mobile device 705 of the user. The server 703 may host a web-based interface or an application that a user of a computing device 702 or mobile device 705 can access and interact with.

[0101] Turning to FIG. 8, an illustrative schematic of a controller, such as the computing device 702, the mobile device 705, and / or the server 703, according to the embodiments of the present disclosure. While FIG. 8 depicts the controller as a server 703, it is understood that the processes described herein may be implemented on a computing device 702 or a mobile device 705. Moreover, it is understood that a server 703, a computing device 702 and / or a mobile device 705 may be implemented in the system 700 and execute one or more steps of the processes described herein.

[0102] In some embodiments, the server 703 includes a processor 830, input / output hardware 832, network interface hardware 834, a data storage component 836, and a memory component 840 (e.g., the one or more memories). The memory component 840 may be machine readable memory (which may also be referred to as a non-transitory processor readable memory). The memory component 840 may be configured as volatile and / or nonvolatile memory and, as such, may include random access memory (including SRAM, DRAM, and / or other types of random-access memory), flash memory, registers, compact discs (CD), digital versatile discs (DVD), and / or other types of storage components. Additionally, the memory component 840 may be configured to store operating logic 842, system logic 844a for implementing one or more of the methods described herein, and interface logic 844b for implementing one or more of the interactive interfaces described herein (each of which may be embodied as a computer program, firmware, or hardware, as an example).

[0103] The memory component 840 may be RAM, ROM, flash memories, hard drives, or any non-transitory memory device capable of storing machine-readableTBX0003WQ instructions such that the machine-readable instructions can be accessed and executed by the processor 832. The machine-readable instruction set may comprise logic or algorithm(s) written in any programming language of any generation (e.g., 1GL, 2GL, 3GL, 4GL, or 5GL) such as, for example, machine language that may be directly executed by the processor 832, or assembly language, object-oriented programming (OOP), scripting languages, microcode, etc., that may be compiled or assembled into machine readable instructions and stored in the memory component 840. Alternatively, the machine-readable instruction set may be written in a hardware description language (HDL), such as logic implemented via either a field-programmable gate array (FPGA) configuration or an application-specific integrated circuit (ASIC), or their equivalents. Accordingly, the functionality described herein may be implemented in any conventional computer programming language, as pre-programmed hardware elements, or as a combination of hardware and software components. While the embodiment depicted in FIG. 8 includes a single memory component 840, other embodiments may include more than one memory module.

[0104] A local interface 846 is also included in FIG. 8 and may be implemented as a bus or other interface to facilitate communication among the components of the controller.

[0105] The processor 830 may include any processing component(s) configured to receive and execute programming instructions (such as from the data storage component 836 and / or the memory component 840). The instructions may be in the form of a machine-readable instruction set stored in the data storage component 836 and / or the memory component 840. The input / output hardware 832 may include a monitor, keyboard, mouse, printer, camera, microphone, speaker, and / or other device for receiving, sending, and / or presenting data. The network interface hardware 834 may include any wired or wireless networking hardware, such as a modem, LAN port, Wi-Fi card, WiMax card, mobile communications hardware, and / or other hardware for communicating with other networks and / or devices.

[0106] The data storage component 836 may reside locally and / or remote from the server 703 and may be configured to store one or more pieces of data for access by the computing device 702, the server 703, the mobile device 705 and / or other components.TBX0003WQExample Operations for Project Creation

[0107] FIG. 9 shows an example method 900. Method 900 includes techniques for generating a project with a computing device 702, a server 703, and / or a mobile device 705 (FIG. 7). Aspects of the method 900 can be implemented by a computing device 702 (FIG. 7) comprising one or more processors 830 (FIG. 8) and a non-transitory computer readable memory (e.g., the memory component 840, FIG. 8).

[0108] Method 900 begins at block 905 with obtaining a design model for a structure.

[0109] Method 900 proceeds to block 910 with obtaining one or more project parameters.

[0110] Method 900 proceeds to block 915 generating a kit-of-parts three-dimensional assembly model corresponding to the design model based on the one or more project parameters.

[0111] Method 900 proceeds to block 920 with initiating a user interface comprising a graphical representation of a componentized three-dimensional assembly model based on the kit-of-parts three-dimensional assembly model, the graphical representation of the componentized three-dimensional assembly model comprising a plurality of components selectable from a component library.

[0112] Note that FIG. 9 is just one example of a method, and other methods including fewer, additional, or alternative operations are possible consistent with this disclosure.Example Operations of a Kit-of-Parts

[0113] FIG. 10 shows an example method 1000. Method 1000 includes techniques for rendering an updated kit-of-parts 3D assembly model with a computing device 702, a server 703, and / or a mobile device 705 (FIG. 7). Aspects of the method 1000 can be implemented by a computing device 702 (FIG. 7) comprising one or more processors 830 (FIG. 8) and a non-transitory computer readable memory (e.g., the memory component 840, FIG. 8).

[0114] Method 1000 begins at block 1005 with obtaining a kit-of-parts three- dimensional assembly model, wherein the kit-of-parts three-dimensional assembly model is an adaptive model that is configured for interaction within a user-interface.

[0115] Method 1000 proceeds to block 1010 with establishing an interface with a real-time cost and material dataset, the real-time cost and material dataset is configured to be dynamically updated with changes to at least one of cost, performance.

[0116] Method 1000 proceeds to block 1015 obtaining, from an input through the user-interface, an adjustment to a parameter of the kit-of-parts three-dimensional assembly model.

[0117] Method 1000 proceeds to block 1020 with updating the kit-of-parts three- dimensional assembly model and one or more associated parameters.

[0118] Method 1000 proceeds to block 1025 with rendering, within the user-interface, an updated kit-of-parts three-dimensional assembly model and indication of the one or more associated parameters.

[0119] Note that FIG. 10 is just one example of a method, and other methods including fewer, additional, or alternative operations are possible consistent with this disclosure.Example Operations of Issue Resolution

[0120] FIG. 11 shows an example method 1100. Method 1100 includes techniques for generating an issue and resolution with a computing device 702, a server 703, and / or a mobile device 705 (FIG. 7). Aspects of the method 1100 can be implemented by a computing device 702 (FIG. 7) comprising one or more processors 830 (FIG. 8) and a non-transitory computer readable memory (e.g., the memory component 840, FIG. 8).

[0121] Method 1100 begins at block 1105 with obtaining a kit-of-parts three- dimensional assembly model, wherein the kit-of-parts three-dimensional assembly model is an adaptive model that is configured for interaction within a user-interface.

[0122] Method 1100 proceeds to block 1110 with establishing an interface with a real-time cost and material dataset, the real-time cost and material dataset is configured to be dynamically updated with changes to at least one of cost, performance.

[0123] Method 1100 proceeds to block 1115 with executing an artificial intelligence module trained to analyze the kit-of-parts three-dimensional assembly model.

[0124] Method 1100 proceeds to block 1120 with automatically generating, with the artificial intelligence module, an issue.

[0125] Method 1100 proceeds to block 1125 with causing an indication corresponding to the issue to be displayed in the user-interface, wherein the issue is selectable through the user-interface.

[0126] Method 1100 proceeds to block 1130 with in response to a selection of the indication, outputting a recommendation for a resolution to the issue through the userinterface.

[0127] Note that FIG. 11 is just one example of a method, and other methods including fewer, additional, or alternative operations are possible consistent with this disclosure.Example Operations of Installation Sequence

[0128] FIG. 12 shows an example method 1200. Method 1200 includes techniques for generating an installation sequence with a computing device 702, a server 703, and / or a mobile device 705 (FIG. 7). Aspects of the method 1200 can be implemented by a computing device 702 (FIG. 7) comprising one or more processors 830 (FIG. 8) and a non-transitory computer readable memory (e.g., the memory component 840, FIG. 8).

[0129] Method 1200 begins at block 1205 with obtaining a three-dimensional assembly model, wherein the kit-of-parts three-dimensional assembly model is an adaptive model that is configured for interaction within a user-interface.

[0130] Method 1200 proceeds to block 1210 with generating a sequence of installation tasks, the installation tasks comprising a build process for assembling components of a structure corresponding to the kit-of-parts three-dimensional assembly model.

[0131] Method 1200 proceeds to block 1215 generating a visualization of the sequence of installation tasks, wherein the visualization comprises an animation of a construction of a structure modeled by the three-dimensional assembly model.

[0132] Method 1200 proceeds to block 1220 with automatically generating, with the artificial intelligence module, an issue.

[0133] Method 1200 proceeds to block 1225 with outputting the visualization within the user-interface, the user-interface comprising visualization controls to navigate the simulation and interact with the sequence of installation tasks.TBX0003WQ

[0134] Note that FIG. 12 is just one example of a method, and other methods including fewer, additional, or alternative operations are possible consistent with this disclosure.Example Clauses

[0135] Implementation examples are described in the following numbered clauses:

[0136] Clause 1 : A method for project creation, the method comprising: obtaining a design model for a structure; obtaining one or more project parameters; generating a kit- of-parts three-dimensional assembly model corresponding to the design model based on the one or more project parameters; and initiating a user interface comprising a graphical representation of a componentized three-dimensional assembly model based on the kit- of-parts three-dimensional assembly model, the graphical representation of the componentized three-dimensional assembly model comprising a plurality of components selectable from a component library.

[0137] Clause 2: The method of Clause 2, wherein the design model comprises at least one of a wireframe, an architectural sketch, or a CAD model.

[0138] Clause 3 : The method of Clause 2, wherein the architectural sketch does not specify materials or dimensions.

[0139] Clause 4: The method of any one of Clauses 1-3, wherein the one or more project parameters comprises at least one a design criteria, a building code requirement, or a material type.

[0140] Clause 5: The method of any one of Clauses 1-4, wherein the kit-of-parts three-dimensional assembly model comprises beams, columns, or panels and corresponding dimensions and locations of the respective ones of the beams, columns, or panels.

[0141] Clause 6: The method of any one of Clauses 1-5, wherein the plurality of components selectable from the component library comprises a curated set of components.

[0142] Clause 7: The method of any one of Clauses 1-6, wherein obtaining the design model for the structure comprises retrieving the design model from a stored project.TBX0003WQ

[0143] Clause 8: The method of any one of Clauses 1-7, wherein obtaining the design model for the structure and obtaining the one or more project parameters comprises opening a project saved in one or more memories of an apparatus.

[0144] Clause 9: A method for automatic model assembly rendering, the method comprising: obtaining a kit-of-parts three-dimensional assembly model, wherein the kit- of-parts three-dimensional assembly model is an adaptive model that is configured for interaction within a user- interface; establishing an interface with a real-time cost and material dataset, the real-time cost and material dataset is configured to be dynamically updated with changes to at least one of cost, performance, obtain, from an input through the user-interface, an adjustment to a parameter of the kit-of-parts three-dimensional assembly model; updating the kit-of-parts three-dimensional assembly model and one or more associated parameters; and rendering, within the user-interface, an updated kit-of- parts three-dimensional assembly model and indication of the one or more associated parameters.

[0145] Clause 10: The method of Clause 10, wherein the user-interface comprises a plurality of modular user-interfaces that are adjustable in size and location and activated or deactivated.

[0146] Clause 11 : The method of any one of Clauses 9-10, wherein the user-interface comprises a context-aware artificial intelligence chat interface.

[0147] Clause 12: The method of any one of Clauses 9-11, wherein obtaining, from the input through the user-interface, the adjustment to the parameter of the kit-of-parts three-dimensional assembly model comprises obtaining a user input from a context-aware artificial intelligence chat interface.

[0148] Clause 13: The method of any one of Clauses 9-12, further comprising updating a chart or an installation schedule within the user-interface.

[0149] Clause 14: The method of any one of Clauses 9-13, wherein the kit-of-parts three-dimensional assembly model comprises beams, columns, or panels and corresponding dimensions and locations of the respective ones of the beams, columns, or panels.

[0150] Clause 15: A method of automatic issue generation, the method comprising: obtaining a kit-of-parts three-dimensional assembly model, wherein the kit-of-parts three-TBX0003WQ dimensional assembly model is an adaptive model that is configured for interaction within a user-interface; executing an artificial intelligence module trained to analyze the kit-of- parts three-dimensional assembly model; automatically generating, with the artificial intelligence module, an issue; causing an indication corresponding to the issue to be displayed in the user-interface, wherein the issue is selectable through the user-interface; and in response to a selection of the indication, outputting a recommendation for a resolution to the issue through the user-interface.

[0151] Clause 16: The method of Clause 15, wherein the kit-of-parts three- dimensional assembly model comprises beams, columns, or panels and corresponding dimensions and locations of the respective ones of the beams, columns, or panels.

[0152] Clause 17: The method of any one of Clauses 15-16, wherein the issue comprises a failure of the kit-of-parts three-dimensional assembly model to comply with one or more project parameters.

[0153] Clause 18: The method of Clause 17, wherein the one or more project parameters comprises at least one a design criteria, a building code requirement, or a material type.

[0154] Clause 19: The method of any one of Clauses 15-18, wherein the userinterface comprises a plurality of modular user-interfaces that are adjustable in size and location and activated or deactivated.

[0155] Clause 20: The method of any one of Clauses 15-19, wherein the userinterface comprises a context-aware artificial intelligence chat interface.

[0156] Clause 21 : The method of any one of Clauses 15-20, further comprising updating a chart or an installation schedule within the user-interface based on the output of the recommendation.

[0157] Clause 22: A method of automatic sequencing, the method comprising: obtaining a kit-of-parts three-dimensional assembly model, wherein the kit-of-parts three- dimensional assembly model is an adaptive model that is configured for interaction within a user-interface; generating a sequence of installation tasks, the sequence of installation tasks comprising a build process for assembling components of a structure corresponding to the kit-of-parts three-dimensional assembly model; generating a visualization of the sequence of installation tasks, wherein the visualization comprises an animation of aTBX0003WQ construction of the structure modeled by the kit-of-parts three-dimensional assembly model; and outputting the visualization within the user-interface, the user-interface comprising visualization controls to navigate the visualization and interact with the sequence of installation tasks.

[0158] Clause 23: The method of Clause 22, wherein the visualization comprises a Gant chart.

[0159] Clause 24: The method of any one of Clauses 22-23, wherein the visualization is interactive, wherein interaction with the visualization changes a view of the kit-of-parts three-dimensional assembly model to correspond to a state of assembly selected within the visualization.

[0160] Clause 25: The method of any one of Clauses 22-24, wherein the visualization comprises a timeline that includes one or more stages of a project for building the structure corresponding to the kit-of-parts three-dimensional assembly model.

[0161] Clause 26: The method of any one of Clauses 22-25, wherein the kit-of-parts three-dimensional assembly model comprises beams, columns, or panels and corresponding dimensions and locations of the respective ones of the beams, columns, or panels.

[0162] Clause 27: The method of any one of Clauses 22-26, wherein the userinterface comprises a plurality of modular user-interfaces that are adjustable in size and location and activated or deactivated.

[0163] Clause 28: The method of any one of Clauses 22-27, wherein the userinterface comprises a context-aware artificial intelligence chat interface.

[0164] Clause 29: The method of any one of Clauses 22-28, further comprising updating a chart or an installation schedule within the user-interface.

[0165] Clause 30: The method of any one of Clauses 22-29, wherein the sequence of installation tasks comprises manufacturing and shipping of components of the structure.

[0166] Clause 31 : One or more apparatuses, comprising: one or more memories comprising executable instructions; and one or more processors configured to execute the executable instructions and cause the one or more apparatuses to perform a method in accordance with any one of Clauses 1-30.TBX0003WQ

[0167] Clause 32: One or more apparatuses configured for feature detection and extraction, comprising: one or more memories; and one or more processors, coupled to the one or more memories, configured to cause the one or more apparatuses to perform a method in accordance with any one of Clauses 1-30.

[0168] Clause 33: One or more apparatuses configured for feature detection and extraction, comprising: one or more memories; and one or more processors, coupled to the one or more memories, configured to perform a method in accordance with any one of Clauses 1-30.

[0169] Clause 34: One or more apparatuses, comprising means for performing a method in accordance with any one of Clauses 1-30.

[0170] Clause 35: One or more non- transitory computer-readable media comprising executable instructions that, when executed by one or more processors of one or more apparatuses, cause the one or more apparatuses to perform a method in accordance with any one of Clauses 1-30.

[0171] Clause 36: One or more computer program products embodied on one or more computer-readable storage media comprising code for performing a method in accordance with any one of Clauses 1-30.

[0172] Clause 37: One or more apparatuses configured for feature detection and extraction, comprising: a processing system that includes one or more processors and one or more memories coupled with the one or more processors, the processing system configured to cause the one or more apparatuses to perform a method in accordance with any one of Clauses 1-30.Additional Considerations

[0173] While several embodiments have been described and illustrated herein, those of ordinary skill in the art will readily envision a variety of other means and / or structures for performing the function and / or obtaining the results and / or one or more of the advantages described herein, and each of such variations and / or modifications is deemed to be within the scope of the embodiments described herein. More generally, those skilled in the art will readily appreciate that all parameters, dimensions, materials, and configurations described herein are meant to be exemplary and that the actual parameters, dimensions, materials, and / or configurations will depend upon the specific application orapplications for which the teachings is / are used. Those skilled in the art will recognize or be able to ascertain using no more than routine experimentation, many equivalents to the specific embodiments described herein. It is, therefore, to be understood that the foregoing embodiments are presented by way of example only and that, within the scope of the appended claims and equivalents thereto, embodiments may be practiced otherwise than as specifically described and claimed. Embodiments of the present disclosure are directed to each individual feature, system, article, material, and / or method described herein. In addition, any combination of two or more such features, systems, articles, materials, and / or methods, if such features, systems, articles, materials, and / or methods are not mutually inconsistent, is included within the scope of the present disclosure.

[0174] All definitions, as defined and used herein, should be understood to control over dictionary definitions, definitions in documents incorporated by reference, and / or ordinary meanings of the defined terms.

[0175] The indefinite articles “a” and “an,” as used herein in the specification and in the claims, unless clearly indicated to the contrary, should be understood to mean “at least one.”

[0176] The phrase “and / or,” as used herein in the specification and in the claims, should be understood to mean “either or both” of the elements so conjoined, i.e., elements that are conjunctively present in some cases and disjunctively present in other cases. Multiple elements listed with “and / or” should be construed in the same fashion, i.e., “one or more” of the elements so conjoined. Other elements may optionally be present other than the elements specifically identified by the “and / or” clause, whether related or unrelated to those elements specifically identified. Thus, as a non-limiting example, a reference to “A and / or B”, when used in conjunction with open-ended language such as “comprising” can refer, in one embodiment, to A only (optionally including elements other than B); in another embodiment, to B only (optionally including elements other than A); in yet another embodiment, to both A and B (optionally including other elements); etc.

[0177] As used herein in the specification and in the claims, “or” should be understood to have the same meaning as “and / or” as defined above. For example, when separating items in a list, “or” or “and / or” shall be interpreted as being inclusive, i.e., the inclusion of at least one, but also including more than one, of a number or list of elements,and, optionally, additional unlisted items. Only terms clearly indicated to the contrary, such as “only one of’ or “exactly one of,” or, when used in the claims, “consisting of,” will refer to the inclusion of exactly one element of a number or list of elements. In general, the term “or” as used herein shall only be interpreted as indicating exclusive alternatives (i.e. “one or the other but not both”) when preceded by terms of exclusivity, such as “either,” “one of,” “only one of,” or “exactly one of.” “Consisting essentially of,” when used in the claims, shall have its ordinary meaning as used in the field of patent law.

[0178] As used herein in the specification and in the claims, the phrase “at least one,” in reference to a list of one or more elements, should be understood to mean at least one element selected from any one or more of the elements in the list of elements, but not necessarily including at least one of each and every element specifically listed within the list of elements and not excluding any combinations of elements in the list of elements. This definition also allows that elements may optionally be present other than the elements specifically identified within the list of elements to which the phrase “at least one” refers, whether related or unrelated to those elements specifically identified. Thus, as a non-limiting example, “at least one of A and B” (or, equivalently, “at least one of A or B,” or, equivalently “at least one of A and / or B”) can refer, in one embodiment, to at least one, optionally including more than one, A, with no B present (and optionally including elements other than B); in another embodiment, to at least one, optionally including more than one, B, with no A present (and optionally including elements other than A); in yet another embodiment, to at least one, optionally including more than one, A, and at least one, optionally including more than one, B (and optionally including other elements); etc.

[0179] It should also be understood that, unless clearly indicated to the contrary, in any methods claimed herein that include more than one step or act, the order of the steps or acts of the method is not necessarily limited to the order in which the steps or acts of the method are recited.

[0180] In the claims, as well as in the specification above, all transitional phrases such as “comprising,” “including,” “carrying,” “having,” “containing,” “involving,” “holding,” “composed of,” and the like are to be understood to be open-ended, i.e., to mean including but not limited to. Only the transitional phrases “consisting of’ andTBX0003WQ“consisting essentially of’ shall be closed or semi-closed transitional phrases, respectively.

[0181] It is to be understood that the embodiments are not limited in its application to the details of construction and the arrangement of components set forth in the description or illustrated in the drawings. The invention is capable of other embodiments and of being practiced or of being carried out in various ways. Unless limited otherwise, the terms “connected,” “coupled,” “in communication with,” and “mounted,” and variations thereof herein are used broadly and encompass direct and indirect connections, couplings, and mountings. In addition, the terms “connected” and “coupled” and variations thereof are not restricted to physical or mechanical connections or couplings.

[0182] The foregoing description of several embodiments of the invention has been presented for purposes of illustration. It is not intended to be exhaustive or to limit the invention to the precise steps and / or forms disclosed, and obviously many modifications and variations are possible in light of the above teaching.

Claims

TBX0003WQWHAT IS CLAIMED IS:

1. An apparatus, comprising: a processing system that includes one or more processors and one or more memories coupled with the one or more processors, the processing system configured to cause the apparatus to: obtain a design model for a structure; obtain one or more project parameters; generate a kit-of-parts three-dimensional assembly model corresponding to the design model based on the one or more project parameters; and initiate a user interface comprising a graphical representation of a componentized three-dimensional assembly model based on the kit-of-parts three- dimensional assembly model, the graphical representation of the componentized three-dimensional assembly model comprising a plurality of components selectable from a component library.

2. The apparatus of claim 1 , wherein the design model comprises at least one of a wireframe, an architectural sketch, or a CAD model.

3. The apparatus of claim 2, wherein the architectural sketch does not specify materials or dimensions.

4. The apparatus of claim 1, wherein the one or more project parameters comprises at least one a design criteria, a building code requirement, or a material type.

5. The apparatus of claim 1, wherein the kit-of-parts three-dimensional assembly model comprises beams, columns, or panels and corresponding dimensions and locations of the respective ones of the beams, columns, or panels.

6. The apparatus of claim 1, wherein the plurality of components selectable from the component library comprises a curated set of components.

7. The apparatus of claim 1, wherein to obtain the design model for the structure, the processing system configured to cause the apparatus to retrieve the design model from a stored project.

8. The apparatus of claim 1, wherein to obtain the design model for the structure and to obtain the one or more project parameters, the processing system configured to cause the apparatus to open a project saved in the one or more memories.

9. An apparatus, comprising: a processing system that includes one or more processors and one or more memories coupled with the one or more processors, the processing system configured to cause the apparatus to: obtain a kit-of-parts three-dimensional assembly model, wherein the kit- of-parts three-dimensional assembly model is an adaptive model that is configured for interaction within a user-interface; establish an interface with a real-time cost and material dataset, the realtime cost and material dataset is configured to be dynamically updated with changes to at least one of cost, performance; obtain, from an input through the user-interface, an adjustment to a parameter of the kit-of-parts three-dimensional assembly model; update the kit-of-parts three-dimensional assembly model and one or more associated parameters; and render, within the user-interface, an updated kit-of-parts three- dimensional assembly model and indication of the one or more associated parameters.

10. The apparatus of claim 9, wherein the user-interface comprises a plurality of modular user-interfaces that are adjustable in size and location and activated or deactivated.

11. The apparatus of claim 9, wherein the user- interface comprises a context- aware artificial intelligence chat interface.

12. The apparatus of claim 9, wherein to obtain, from the input through the user-interface, the adjustment to the parameter of the kit-of-parts three-dimensional assembly model, the processing system configured to cause the apparatus to obtain a user input from a context-aware artificial intelligence chat interface.

13. The apparatus of claim 9, wherein the processing system configured to cause the apparatus to update a chart or an installation schedule within the user-interface.

14. The apparatus of claim 9, wherein the kit-of-parts three-dimensional assembly model comprises beams, columns, or panels and corresponding dimensions and locations of the respective ones of the beams, columns, or panels.

15. An apparatus, comprising: a processing system that includes one or more processors and one or more memories coupled with the one or more processors, the processing system configured to cause the apparatus to: obtain a kit-of-parts three-dimensional assembly model, wherein the kit- of-parts three-dimensional assembly model is an adaptive model that is configured for interaction within a user-interface; execute an artificial intelligence module trained to analyze the kit-of-parts three-dimensional assembly model; automatically generate, with the artificial intelligence module, an issue; cause an indication corresponding to the issue to be displayed in the userinterface, wherein the issue is selectable through the user-interface; and in response to a selection of the indication, output a recommendation for a resolution to the issue through the user-interface.

16. The apparatus of claim 15, wherein the kit-of-parts three-dimensional assembly model comprises beams, columns, or panels and corresponding dimensions and locations of the respective ones of the beams, columns, or panels.

17. The apparatus of claim 15, wherein the issue comprises a failure of the kit- of-parts three-dimensional assembly model to comply with one or more project parameters.

18. The apparatus of claim 17, wherein the one or more project parameters comprises at least one a design criteria, a building code requirement, or a material type.

19. The apparatus of claim 15, wherein the user-interface comprises a plurality of modular user-interfaces that are adjustable in size and location and activated or deactivated.

20. The apparatus of claim 15, wherein the user-interface comprises a context- aware artificial intelligence chat interface.TBX0003WQ21. The apparatus of claim 15, wherein the processing system configured to cause the apparatus to update a chart or an installation schedule within the user-interface based on the output of the recommendation.

22. An apparatus, comprising: a processing system that includes one or more processors and one or more memories coupled with the one or more processors, the processing system configured to cause the apparatus to: obtain a kit-of-parts three-dimensional assembly model, wherein the kit- of-parts three-dimensional assembly model is an adaptive model that is configured for interaction within a user-interface; generate a sequence of installation tasks, the sequence of installation tasks comprising a build process for assembling components of a structure corresponding to the kit-of-parts three-dimensional assembly model; generate a visualization of the sequence of installation tasks, wherein the visualization comprises an animation of a construction of the structure modeled by the kit-of-parts three-dimensional assembly model; and output the visualization within the user-interface, the user-interface comprising visualization controls to navigate the visualization and interact with the sequence of installation tasks.

23. The apparatus of claim 22, wherein the visualization comprises a Gant chart.

24. The apparatus of claim 22, wherein the visualization is interactive, wherein interaction with the visualization changes a view of the kit-of-parts three- dimensional assembly model to correspond to a state of assembly selected within the visualization.

25. The apparatus of claim 22, wherein the visualization comprises a timeline that includes one or more stages of a project for building the structure corresponding to the kit-of-parts three-dimensional assembly model.

26. The apparatus of claim 22, wherein the kit-of-parts three-dimensional assembly model comprises beams, columns, or panels and corresponding dimensions and locations of the respective ones of the beams, columns, or panels.TBX0003WQ27. The apparatus of claim 22, wherein the user-interface comprises a plurality of modular user-interfaces that are adjustable in size and location and activated or deactivated.

28. The apparatus of claim 22, wherein the user-interface comprises a context- aware artificial intelligence chat interface.

29. The apparatus of claim 22, wherein the processing system configured to cause the apparatus to update a chart or an installation schedule within the user-interface.

30. The apparatus of claim 22, wherein the sequence of installation tasks comprises manufacturing and shipping of components of the structure.

31. A method for project creation, the method comprising: obtaining a design model for a structure; obtaining one or more project parameters; generating akit-of-parts three-dimensional assembly model corresponding to the design model based on the one or more project parameters; and initiating a user interface comprising a graphical representation of a componentized three-dimensional assembly model based on the kit-of-parts three- dimensional assembly model, the graphical representation of the componentized three-dimensional assembly model comprising a plurality of components selectable from a component library.

32. The method of claim 31, wherein the design model comprises at least one of a wireframe, an architectural sketch, or a CAD model.

33. The method of claim 32, wherein the architectural sketch does not specify materials or dimensions.

34. The method of claim 31, wherein the one or more project parameters comprises at least one a design criteria, a building code requirement, or a material type.

35. The method of claim 31, wherein the kit-of-parts three-dimensional assembly model comprises beams, columns, or panels and corresponding dimensions and locations of the respective ones of the beams, columns, or panels.

36. The method of claim 31, wherein the plurality of components selectable from the component library comprises a curated set of components.

37. The method of claim 31, wherein obtaining the design model for the structure comprises retrieving the design model from a stored project.

38. The method of claim 31, wherein obtaining the design model for the structure and to obtain the one or more project parameters comprises opening a project saved in one or more memories of an apparatus.

39. A method for automatic model assembly rendering, the method comprising: obtaining a kit-of-parts three-dimensional assembly model, wherein the kit-of-parts three-dimensional assembly model is an adaptive model that is configured for interaction within a user-interface; establishing an interface with a real-time cost and material dataset, the real-time cost and material dataset is configured to be dynamically updated with changes to at least one of cost, performance; obtain, from an input through the user-interface, an adjustment to a parameter of the kit-of-parts three-dimensional assembly model; updating the kit-of-parts three-dimensional assembly model and one or more associated parameters; and rendering, within the user-interface, an updated kit-of-parts three- dimensional assembly model and indication of the one or more associated parameters.

40. The method of claim 39, wherein the user-interface comprises a plurality of modular user-interfaces that are adjustable in size and location and activated or deactivated.

41. The method of claim 39, wherein the user- interface comprises a context- aware artificial intelligence chat interface.

42. The method of claim 39, wherein obtaining, from the input through the user-interface, the adjustment to the parameter of the kit-of-parts three-dimensionalassembly model comprises obtaining a user input from a context-aware artificial intelligence chat interface.

43. The method of claim 39, further comprising updating a chart or an installation schedule within the user-interface.

44. The method of claim 39, wherein the kit-of-parts three-dimensional assembly model comprises beams, columns, or panels and corresponding dimensions and locations of the respective ones of the beams, columns, or panels.

45. A method of automatic issue generation, the method comprising: obtaining a kit-of-parts three-dimensional assembly model, wherein the kit-of-parts three-dimensional assembly model is an adaptive model that is configured for interaction within a user-interface; executing an artificial intelligence module trained to analyze the kit-of- parts three-dimensional assembly model; automatically generating, with the artificial intelligence module, an issue; causing an indication corresponding to the issue to be displayed in the user-interface, wherein the issue is selectable through the user-interface; and in response to a selection of the indication, outputting a recommendation for a resolution to the issue through the user-interface.

46. The method of claim 45, wherein the kit-of-parts three-dimensional assembly model comprises beams, columns, or panels and corresponding dimensions and locations of the respective ones of the beams, columns, or panels.

47. The method of claim 45, wherein the issue comprises a failure of the kit- of-parts three-dimensional assembly model to comply with one or more project parameters.

48. The method of claim 47, wherein the one or more project parameters comprises at least one a design criteria, a building code requirement, or a material type.

49. The method of claim 45, wherein the user-interface comprises a plurality of modular user-interfaces that are adjustable in size and location and activated or deactivated.TBX0003WQ50. The method of claim 45, wherein the user- interface comprises a context- aware artificial intelligence chat interface.

51. The method of claim 45, further comprising updating a chart or an installation schedule within the user-interface based on the output of the recommendation.

52. A method of automatic sequencing, the method comprising: obtaining a kit-of-parts three-dimensional assembly model, wherein the kit-of-parts three-dimensional assembly model is an adaptive model that is configured for interaction within a user-interface; generating a sequence of installation tasks, the sequence of installation tasks comprising a build process for assembling components of a structure corresponding to the kit-of-parts three-dimensional assembly model; generating a visualization of the sequence of installation tasks, wherein the visualization comprises an animation of a construction of the structure modeled by the kit-of-parts three-dimensional assembly model; and outputting the visualization within the user-interface, the user-interface comprising visualization controls to navigate the visualization and interact with the sequence of installation tasks.

53. The method of claim 52, wherein the visualization comprises a Gant chart.

54. The method of claim 52, wherein the visualization is interactive, wherein interaction with the visualization changes a view of the kit-of-parts three-dimensional assembly model to correspond to a state of assembly selected within the visualization.

55. The method of claim 52, wherein the visualization comprises a timeline that includes one or more stages of a project for building the structure corresponding to the kit-of-parts three-dimensional assembly model.

56. The method of claim 52, wherein the kit-of-parts three-dimensional assembly model comprises beams, columns, or panels and corresponding dimensions and locations of the respective ones of the beams, columns, or panels.

57. The method of claim 52, wherein the user-interface comprises a plurality of modular user-interfaces that are adjustable in size and location and activated or deactivated.

58. The method of claim 52, wherein the user- interface comprises a context- aware artificial intelligence chat interface.

59. The method of claim 52, further comprising updating a chart or an installation schedule within the user-interface.

60. The method of claim 52, wherein the sequence of installation tasks comprises manufacturing and shipping of components of the structure.

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