🔧 The Most Dangerous Bias of Your AI Assistant Is That It Agrees with You – Part 2: Why We Also Need to Remove Rules Again

The first part of this series was about diagnosis:
Part I
a reflective layer at the end of a session that makes sycophancy drift visible — that is, the model’s trained tendency to agree with the user instead of pushing back — and writes suggestions into a file. For human review, not for automatic adoption.

What I deliberately left open there was...