Jul 03, 2026 · 6 min read
Building Production AI Agents
Lessons from building AI employee systems where reliability, tool boundaries, and observability matter more than prompt cleverness.
Lessons from building AI employee systems where reliability, tool boundaries, and observability matter more than prompt cleverness.
Hallucinations, structured outputs, retries, validation, and human review are not edge cases; they are part of the architecture.
AI applications need ordinary backend discipline: clear boundaries, asynchronous work, durable state, and integrations that can fail.
A short note on event-driven systems, order books, latency budgets, streaming data, and why market systems make architecture concrete.
Engineering lessons from building production systems when speed, ambiguity, and maintainability all matter.
A one-minute note on why tool contracts matter more than giving an agent more tools.