Single agents are manageable. The moment agents start handing work to each other, failures stop being traceable. One bad output becomes the next agent s trusted input, and the break shows up far from where it started. If you ve got a multi-agent system running reliably in production, what made it work? Narrower tool scopes, strict handoff rules, better tracing, fewer agents?
AI agents don't just generate answers anymore. They take actions, call tools, and access real data. BotGauge helps engineering teams find where agents break before users do. Run adaptive red-team attacks and evals, catch security and behavioral failures, and replay every issue with full traces. Turn failures into regression tests, continuously retest as your agents evolve, and monitor their behavior in production. One reliability layer from development to deployment.
