· Amit Kothari · AI
AI errors need AI-level explanations
AI systems fail gradually and partially, not in clear binary states like traditional software. The model gives a plausible answer missing crucial context, latency spikes but stays under timeout limits, outputs degrade invisibly. Your error handling must match this complexity.