AI Agents in Production: Beyond the Hype

Demos Lie. Production Doesn't.

Anyone can build an AI demo. Very few can run one in production without waking up to incidents, hallucinations, and legal risks.

In regulated environments, a 90% success rate is unacceptable. AI systems must fail safely.

What Actually Works

• Post-LLM Validation: Never trust raw model output. Validate schemas, constraints, and intent.
• Evals as CI: Prompts should be tested like code. If performance degrades, block deployment.
• Human Approval: Autonomy without oversight is irresponsibility, not innovation.

The future of AI isn't smarter models. It's better engineered systems around them.