LUME Visual Artifacts & Technical Proofs

This document serves as a high-fidelity mapping of the LUME: Agile Intelligence user interface and its underlying technical components.

Core Interface Artifacts

Path: src/assets/transcript-analysis.png

Technical Implementation:

NLP Decision Mining: Continuous ingestion of meeting transcripts via the useMeetingAI streaming protocol.
Contextual Highlighting: Real-time identification of actionable technical decisions and product requirements.
State Integration: Direct synchronization with the Sprint Planner and Risk Heatmap.

Path: src/assets/sprint-orchestration.png

Technical Implementation:

Drag-and-Drop UX: Seamless task re-prioritization using React 19 concurrent state handling.
Auto-Categorization: Automated tagging of tasks into Technical, Product, Design, and QA based on AI analysis.
Clarity Indicators: Visual feedback for tasks requiring further stakeholder clarification.

Path: src/assets/risk-heatmap-viz.png

Technical Implementation:

Predictive Bottlenecking: Visualization of story point concentration and potential blockers.
Inverted Index Linking: Every risk node on the heatmap is linked to its transcript source via an $O(1)$ search index.
Impact Scoring: High-impact risks are dynamically rendered with neon-amber/neon-red aesthetics.

Path: src/assets/simulation-fallback.png

Technical Implementation:

Air-Gapped Resilience: Automated failover to high-fidelity mock data when Gemini API is unreachable.
Vitest Validation: Continuous verification of state transitions between Live and Simulated modes.
Industrial Theme: Obsidian Glass aesthetics with 40px backdrop blur and 1px hairline borders for a premium executive dashboard experience.