FACTUAL ACTIVITY RECORD · An activity record based on work that took place
Visualizing AI work as a 3D intelligence habitat
An initial implementation projecting synchronized tasks, conversations, and AI talents into islands and an office
Purpose
A conversation list alone made it difficult to grasp the overall structure and relationships of work performed by the main AI and multiple AI talents. The work needed a spatial representation that could be understood by looking around.
The goal was to combine synchronized tasks, turns, messages, and AI-talent data into one snapshot, display tasks as islands and AI talents as 3D characters, and provide a Web foundation that also opens conversation details.
Implementation
synchronization adapter and 3D-state mapper transform synchronized data into an OfficeSnapshot for the interface. Root tasks become session rooms, with child tasks, assigned AIs, and messages grouped into the same display unit and returned by endpoint implementation.
- 3D scene presentation places task islands, AI characters, an elephant monument, and domain-specific terrain in the 3D space.
- 3D application presentation manages session selection, AI-talent details, conversation display, and loading states.
- spatial layout processing positions multiple task islands, while roaming behavior and motion behavior calculate routes and motion states.
Blender generation scripts were added for the intelligence habitat, office, session island, ten AI talents, and a generic character, retaining both editable sources and Web-ready 3D assets. Portraits were mapped to per-talent visual metadata.
Browser, server, and proxy connection boundaries were separated under target components, with a login screen and authentication cookie used to access synchronized data. The Web app does not read local source files directly, so already stored history remains available while the source machine is stopped.
- A demo snapshot was isolated so the interface could be inspected during development without live data.
- 3D assets, portraits, island placement, movement and animation, and server mapping were separated into independently testable units.
- Secrets were kept in local environment settings, examples contained no values, and intermediate Blender backups were excluded from the managed result.
project guide documents the interface, 3D scene, server transformation, connection setup, and asset-generation flow, including the distinction between live and development data and the update limitation while the synchronization source is stopped.
The 3D view did not read local sources directly from the browser. A mapper boundary transformed a synchronized dataset into an OfficeSnapshot.
Rendering diagram…
What was confirmed
Verification results
The initial implementation comprised 76 files covering the Web interface, API, 3D assets, generation scripts, server mapping, connection configuration, and tests.
Task islands, ten AI talents, conversation details, and 3D movement and idle behavior were combined into one application.
Seventeen tests covering server mapping, portraits, island placement, roaming, and motion passed.
Local configuration containing secrets and Blender backup files were confirmed outside the managed result.
At the cutoff, the initial implementation had been applied to the target. Public deployment, long-running operation, multiple devices, load, and comprehensive accessibility checks were outside this scope.
Basis for completion
The initial scope was complete when the interface, API, assets, and mapping needed to transform synchronized tasks and conversations into a 3D space were present, seventeen tests passed, secret-bearing files were excluded, and the result was applied to the target.