AI Agents Entity

AI agents (Claude Code, LangChain pipelines, Cursor, custom RAG systems) are increasingly autonomous actors in enterprise environments. Qpoint already observes their API traffic — sessions, models, tokens, costs, cache behavior, and context growth. This cycle turns that raw observability into a designed entity with an index, sessions list, and session detail view.

Define the information architecture for AI Agent — a new entity representing an autonomous AI system whose API traffic flows through Qpoint's proxy. Validate the IA through lo-fi wireframes before investing in visual polish.

• Agent index (multi-perspective dashboard — by agent, user, cost, model)
• Agent sessions (per-agent session history)
• Agent session detail (events timeline, metrics, insights, proxy)

1. Goal-oriented brief covering all agent pages
2. Lo-fi wireframes (Wire* components) for index, sessions, and detail pages
3. Connected flow between all pages

• initial-brief.md — original requirements
• image (14-17).png — prototype screenshots showing session detail data

• Brief written — cycles/c4.aii-agents-entity/briefs/agents.md
• Wireframes generated — app/pages/c4/wireframes/agents-v1/ (index, sessions, detail)
• Flow connected — drill-down navigation between pages