Your AI Is Agreeing With You. Here’s an Open-Source Protocol to Catch It.

A 4-step framework for detecting AI hallucination, sycophancy, and reasoning failures in any large language model Why AI Hallucination Detection Still Fails In March 2024, Stanford researchers published findings on a pattern they called AI sycophancy - the systematic tendency of large language models to agree with users, reinforce their assumptions, and produce outputs that feel correct rather than outputs that are correct. This wasn’t a surprise to anyone paying attention. But here’s what the research undersold: sycophancy isn’t an edge case. It’s the default behavior.