The Context Paradox: Why Your Fancy AI Fails in Production

AI demos look impressive, but they break down in real enterprise environments due to lack of context. Foundation models don’t understand internal systems, leading to hallucinations and risky outputs. The solution is building a knowledge layer with internal documentation and retrieval systems. Companies like Uber show that context turns AI from a novelty into a reliable, production-ready tool.