Engineering noteProposed topic — outline, not published findings
Designing Reliable AI Agents for Production
Reliability comes from constraints, evaluation, and observability — not from a better prompt alone.
Constrain the action space
Give agents narrow, well-typed tools with least-privilege access. Fewer, clearer options produce more predictable behaviour.
Evaluate continuously
Build evaluation sets from real cases and run them on every change to prompts, models, or tools. Track regressions like any other test suite.
Trace everything
Record inputs, tool calls, intermediate outputs, and approvals. Traces make failures diagnosable and give reviewers the evidence they need.
