Design the tools before the agent
Most agent failures are tool failures. We define the actions, their inputs, and their error shapes first, so the model has something narrow and unambiguous to reason about instead of an open-ended API surface.
Agentic workflow development
A prototype that works on the happy path is a week of effort. An agent that survives real users, bad inputs, and a tool that times out is a different job entirely — and that is the job we take.
The work
Most agent failures are tool failures. We define the actions, their inputs, and their error shapes first, so the model has something narrow and unambiguous to reason about instead of an open-ended API surface.
Planning, retries, fallbacks, and the point where the agent stops and asks a person. We write the control flow deterministically and let the model make only the decisions that genuinely need judgment.
Every workflow ships with a suite that scores it on the cases you care about — tool selection, output schema, grounding, refusals. When you change a prompt, you find out what it cost you before your users do.
Traces you can read, cost per task, and latency at p95. When something goes wrong in production you get the whole trajectory, not a stack trace at the end of it.
What you get
What we work in
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