Most AI Agents Fail in Production Because They’re Built Backwards

# Why AI Projects Keep Falling Apart After Launch Most companies building AI agents are making a fundamental mistake: they're focusing too much on getting the AI model itself to work well, when the real problem is how they're structuring the entire system around it. Even if you have great AI technology, poor planning and bad system design will cause the whole project to fail once it's actually being used. The lesson is that you need to think about the bigger picture—how the AI fits into your actual workflow—before you even start building.