Agent Stateboard
Design an AI agent as a fixed path instead of an open-ended loop. Set out the steps, add checks with retry limits, and decide where failures go. Watch it run, then export the design as a state-machine spec, a Mermaid diagram, or a Python starter loop.
Why design agents this way?
- When the model picks its own next step, it can skip checks, loop forever, or wander off task. Fixing the path in code makes behaviour predictable and auditable.
- Every check step needs a failure route and a retry limit. Without a limit, a stubborn failure becomes an infinite, expensive loop.
- The simulation doesn’t call any model. It shows the control flow your design produces.