intent · supabase_json
Bezel Workflow intent
Workflow automation tools were built around brittle trigger/action chains and human-defined step logic. AI agent workloads need durable, observable, capacity-aware orchestration where agents claim work, route around failure, and adapt to changing APIs.
Problem
Workflow automation tools were built around brittle trigger/action chains and human-defined step logic. AI agent workloads need durable, observable, capacity-aware orchestration where agents claim work, route around failure, and adapt to changing APIs.
Success Metrics
- A nontechnical user can define a Flow that fans out to at least three integrations and observe completion status.
- Multiple agents can claim from one integration topic without double-processing a job.
- A connector can survive an unexpected but interpretable API response change without breaking the Flow.
- A failed or expired claim returns safely to the topic and is reclaimed by another compatible agent.
- First demo workflow processes 200 invoice-like events/day with visible parallel status and no lost jobs.