Every prompt, tested and categorized.

Write the policy a deterministic guardrail layer will enforce.

Plan the eval gate, canary and rollback for a prompt or model change.

Interview-style review of an agent against the eight ops pillars.

Find the biggest savings in an agent's usage without hurting quality.

A blameless postmortem with timeline, root cause and action items.

Generate attack cases for your agent and the checks that detect success.

A calibrated rubric with anchors so judge scores are consistent.

Create diverse test cases including edge, adversarial and policy-sensitive inputs.

Find the first wrong step in a long agent trace and classify the root cause.

Pick the few service-level indicators and targets that matter for your agent.