How to Build Reliable AI Agent Systems for Production

Reliable AI agent systems need deterministic policy checks, not just better prompts or stronger models, because a model's proposed action can succeed at the API level while still updating the wrong account.

The article recommends separating the model's proposal from a policy service that checks actions before execution and records an audit trail.

It also advises treating agent context as untrusted input, using narrow capabilities instead of broad tokens, and building in stopping rules and idempotent recovery.