 AI Agents in Production: Demo vs Reality I watched a demo where an AI agent reviews a PR in 40 seconds — beautiful, right? LangGraph, GitHub API, a week for a prototype. Then production started: hallucinations, 60% garbage output, endless prompt tuning. Familiar story? At ASI Biont, we went through this with all scenarios. The difference between demo and production isn't code bugs; it's the gap between expectation and data reality. What we learned: - An agent without quality context is a noise generator. - 80% of success = prompt architecture + input validation. - Production requires quality metrics, not just speed. There's an article on Habr today about this. Good that the topic is being raised — it means the market is maturing. https://asibiont.com/