Agent Control Room

Configure model fallbacks, retries, tool permissions, approvals, retention, and cost to inspect an agent workflow before deployment.

Does this agent design balance completion, cost, and permission risk?

Compounds per-step primary and fallback success through a sequential workflow, applies bounded retries, estimates expected cost, and reports a disclosed least-privilege rubric.

Calculations and seeded scenarios run on this device. Inputs are not sent to Fanout or an AI model.