
Practice before production
Synthetic tools, data, and scenarios that help teams test AI agents before production.
Visit firedrill.runCo-founder, CEO & Product Lead
MY LEADERSHIP
Product focus & approach
- The product problem
- A completed task doesn't always mean an agent took the right actions.
- Product focus
- Realistic simulations, reproducible runs, and evidence that explains where an agent failed.
Test the whole workflow
Evaluate decisions across tools and data, beyond the quality of a single model response.
Make failures actionable
Connect expected outcomes to captured calls and resulting records so teams can investigate what happened.
Build a repeatable feedback loop
Reset the starting state and compare behavior across model choices and agent changes.



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