AI and ChatGPT are constantly evolving in new and annoying ways. These articles explore weird AI behaviours, control the conversation, build clearer questions, and evaluate and refine results so you get more useful, trustworthy answers faster, easier and with a lot less stress.
An exploration of AI hallucinations, interpretive guessing, and the hidden assumptions chat systems use to fill informational gaps. This article examines why hallucinations feel so convincing, how ambiguity quietly corrupts conversations over time, and the practical methods users can apply to detect, challenge, and correct flawed AI reasoning before it derails decision-making.
An exploration of why human judgement, lived experience, and critical evaluation remain essential when working with AI. This article examines confidence versus accuracy, hidden bias in questions, hallucinations, common sense failures, and the importance of evaluating both the source and structure of AI-generated information instead of accepting polished answers at face value.
A practical guide to understanding why ChatGPT conversation drift, ignore instructions, rewrite your intent, and quietly optimise for the wrong thing. This article explores pattern wandering, sycophantic compliance, and the “helpful override,” alongside practical methods to regain conversation control using structured interaction modes, clearer constraints, and structured evaluation methods.