AI Browsing Session Orchestration With Cloud Browser and API Switching
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Solution Overview
Problem
Existing screen sharing and remote desktop technologies are invasive, require installations, and suffer from high latency and resource utilization, while conventional co-browsing solutions necessitate code placements and are limited to specific online content controlled by publishers, lacking a high-performance, low-latency, and secure content and device-agnostic experience sharing solution.
Innovation Solution
A content and device-agnostic online experience sharing solution that enables multiple users to interact with any online content without installations, engineering, or code placements, featuring in-page control passing, real-time document and video sharing, secure screen redaction, and synchronized playback of rich media across various platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If screen sharing technology is used to provide view-only access to multiple users, then security is improved and device control is protected, but latency and resource utilization increase
Solution Approach 1:
The system segments the screen sharing experience into distinct functional components: a presenter device that captures and processes screen content, a server that manages session coordination, and follower devices that receive and display the shared content. This segmentation allows each component to be optimized independently, reducing overall system latency while maintaining security controls.
Solution Approach 2:
The patent introduces an intermediary server that acts as a mediator between the presenter and follower devices. This server coordinates session management, handles content distribution, and enables real-time synchronization without requiring direct peer-to-peer connections, thereby reducing latency while maintaining security through centralized control.
2Ease of operation
If remote desktop technology is used to give remote users control ability, then operational capability is improved, but invasiveness and resource utilization increase
Solution Approach 1:
The system applies local quality by allowing different levels of interaction capability for different users based on their roles. The presenter device maintains full operational capability with complete device control, while follower devices receive customized views with controlled interaction permissions. This enables operational capability where needed while reducing invasiveness for users who only need viewing access.
3Adaptability or versatility
If conventional co-browsing technology is used to enable synchronized browsing, then collaborative capability is improved, but code placement requirements and IT involvement increase
Solution Approach 1:
The patent implements a universal screen sharing system that can share any type of digital content (screens, documents, videos, web pages) across multiple platforms and devices without requiring platform-specific code placements. The system works across different operating systems and device types through standardized protocols, eliminating the need for IT modifications while maintaining versatile collaborative capabilities.
4Productivity
If code placement is required on web pages to enable shared browsing, then browsing synchronization is improved, but adaptability to different online content decreases
Solution Approach 1:
Instead of modifying original web pages with code placements, the system creates a virtual copy of the browsing experience. The presenter device captures the screen content and the server redistributes it to follower devices, effectively copying the visual experience without altering the source content. This maintains browsing synchronization while preserving adaptability to any online content regardless of whether the publisher has implemented support code.
Data Source
AI summary
Systems and methods for providing a simulated browsing session by instantiating an AI controlled agent, receiving task data identifying an online task, autonomously determining an online action for advancing the online task using the AI controlled agent and based on the task data, selecting, based on the online action, one or both of a cloud browser or an API for executing the action, executing the online action using one or both of the cloud browser or API to generate a result for advancing the task, determining subsequent online actions for advancing the online task based on one of the task data, frame data generated as the result of executing the action, or raw data generated as the result of executing the online action, and selecting, based on the subsequent online actions, one or both of the cloud browser or the API for executing the subsequent simulated online action.