Explainer — How to Build a Production-Grade AI Agent

Loading

Explainer

How to build a production-grade AI agent.

Over 40% of agentic AI projects fail — not because of the models, but due to inadequate risk controls, poor architecture, and unclear business value. Seven engineering principles that separate production systems from fragile demos.

40%+

of agent projects fail in production

73%

of deployments vulnerable to prompt injection

50%

of execution time lost to context overhead

Building a demo in a local notebook takes an afternoon. Deploying a resilient agent to production takes rigorous engineering. These principles are the delta between the two.

— Zero to Agent Engineering Guide