· Amit Kothari · AI
AI errors need AI-level explanations
AI systems fail gradually and partially, not in clear binary states like traditional software. IDC research shows 88% of AI proof-of-concepts never reach production. The model gives a plausible answer missing important context, latency spikes but stays under timeout limits, outputs degrade invisibly. Your AI error handling must match this reality.