A reliable AI agent is not the one that never fails. It is the one whose failures are boring: logged, bounded, recoverable, and easy to explain.
The unsafe version is the one that silently retries a failed tool call, mutates a record, sends an email, exceeds its budget, and leaves no useful trail.
Laravel is a good place to build production-grade AI agents because the framework already gives you the unglamorous parts of production systems: queues, validation, authorization, database-backed state, rate limiting, events, logging, and testing. The trick is to stop treating the agent like a chat prompt and start treating it like a supervised workflow.
Here are seven production patterns that make AI agents in Laravel more reliable.
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