Prove your agents work, and keep them working: golden-dataset evals, regression tests, policy-as-code guardrails, tracing and cost budgets.
Agents are non-deterministic. The same prompt can take a different path tomorrow, and a model upgrade can quietly break a workflow. We make agent behaviour measurable and controllable so you can ship with confidence and catch regressions early.
From our work: In our own builds we found tool-calling IDE clients silently retrying failed calls and burning hundreds of thousands of tokens per prompt. Token budgets and tracing are now standard in every engagement.
In a 30-minute call with a senior architect, you'll learn whether an agent can take it on, what it would cost to build and run, and how we'd prove it works.