The Problem
Teams generate ideas, decisions, and action items across chats and documents, but those signals rarely become structured execution plans without heavy manual coordination.
What I Built
Orca is a human-in-the-loop AI planning workspace that ingests team conversations and project artifacts, then produces validated, structured execution plans through multi-stage agents.
How It Works
Multi-stage agents retrieve relevant context, propose plans, and route proposals through human validation gates. Redis handles session state while Supabase stores artifacts and plan history. The Astro + React frontend surfaces agent runs and approval workflows in a single workspace.
Outcome / Results
Finalist at the USAII Global AI Hackathon 2026. Demonstrated that agentic planning with explicit human checkpoints produces more trustworthy outputs than fully autonomous plan generation.