AI agents are moving from demos into real workflows where they call tools, issue refunds, update records, and touch customer data. When teams change prompts, models, tools, or retrieval, old failures can silently come back. Normal software ships with regression tests and release gates. AI agents mostly don't.
TAQ turns failed agent runs into replayable tests before deployment. Teams can catch prompt, model, tool, and retrieval regressions before a new version ships.
The mission is simple. The same AI failure should not happen twice.
We are early and building fast. If you are shipping AI agents into production, we want to talk.
hello@stonepathlab.net

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