Runs synthetic tasks through a deterministic planner so production behavior can be tested without external APIs.
Public demo
AI Agent Production Lab
Credential-free production readiness lab for traces, eval assertions, cost accounting, and HTML review reports.
Demo boundary: synthetic deterministic fixtures only. Paid value starts with the Agent Reliability Audit private scenario and trace review.
Credential-free
Synthetic data
Public-safe
GitHub Pages
Live proof surface
Tracing, cost accounting, eval assertions, report automation
online
Architecture flow
1Open a synthetic scenario that matches the repository's core workflow.
2Inspect the signal, boundary, and stakeholder-facing output without credentials.
3Use the source repository and local verification command for implementation-level inspection.
Target users
Teams moving agents from demo to production
Architecture path
Agent readiness assessment and CI test pack
Local verification
pytest
Service launch path
AI Agent Production Lab converts into an Agent Reliability Audit.
The public surface stays credential-free, synthetic, and deterministic. Paid value begins when a team needs private scenario review, trace review, failure taxonomy, provider scoring, and a prioritized remediation plan.
Free entryfree production checklist and sample report
Paid SKUAgent Reliability Audit fixed-scope private audit from USD 1,500
Search intentAI Agent Production Lab demo / AI Agent Production Lab system architecture