Deterministic synthetic MCP server fleet views for screenshot capture

Establish a clean Figma-first source of truth for the dashboard redesign by modeling a flexible visual component API, then use AI to accelerate exploration without polluting the design system

Define the qmap implementation path for an inventory/index view of the company-wide AI ecosystem

Define the design-app-native publish path for the qmap runtime-session map without starting implementation before qmap is ready

Prototype a column-based evidence ladder that moves from noisy session signal to reduced entities, actions, and provisional outcomes

Design briefs for the trust, provenance, storytelling, and layered-visibility framing around qcontrol-driven visualizations

Build a qmap inventory/index view of the company-wide AI ecosystem using deterministic synthetic data first

Add a flatland view (topdown camera + pitched 3D models) for VOX/OBJ-backed actors

Build a deterministic synthetic replay path for live-feeling qmap sessions

Validate import, normalization, and rendering of custom .obj actor models in qmap

Explore and integrate Avoma notes data into extraction pipeline and dashboard visualizations.

Refine how extracted data is displayed in the dashboard and improve extraction quality where gaps exist.

Add Google OAuth to restrict dashboard access to @qpoint.io team members.