Start with the permission model

Before writing a prompt, we define precisely which tools an agent may call, with what scope, and which actions require a human approval. Treating permissions as product design — not an afterthought — is the single biggest predictor of whether an agent survives contact with production.

Evaluate relentlessly

Every agent we ship has a regression suite built from real traces. We score outcomes, tool choices and cost on each release, and block deploys when quality dips. Evaluations turn subjective impressions about intelligence into a number the whole team can improve.

Make the reasoning legible

Trust grows when people can see what happened. We expose a timeline of plans, retrieved sources and actions so reviewers can understand a decision in seconds, correct it, and teach the system to do better next time.