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

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

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

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

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

Horizontal timeline system for artifacts, history, and curated milestones across the design site

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

Visualize a single qcontrol runtime session as a qmap entity-type topology

Visual experiments expressing the AI agent monitoring dataset for security teams

Visualize a single AI agent session as a qmap entity-type topology

Directional arrow indicators on dataflow lines

QMapDataflow wrapper with config-driven props and tag-based context grouping

Schema-driven configurator for runtime property control

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

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.