AI incident postmortems: what they have taught us

A selection of postmortems published between 2025 and 2026 by teams running AI systems in production reveals repeated patterns: guardrail failures, silent model drift, hidden vendor dependency, and a collection of near-misses worth distilling.

February 27, 2026 7 min 334 4.6

Artificial Intelligence

LLM guardrails: frameworks and their real cost

Guardrails frameworks promise to filter language-model inputs and outputs to block data leaks, harmful content, or hallucinations. After evaluating four of the most popular ones in production, I cover what they actually do, what latency and billing cost they add, and when they pay off over simpler controls.

December 11, 2025 4 min 399 4.4