Frustrated With AI? You’re Not the Only One
A practical, funny place to process a frustrating AI interaction, understand what went wrong and get some closure.
Read the guide →Clear explanations and practical next steps for the moments when your AI ignores the brief, forgets the context or confidently invents reality.
A practical, funny place to process a frustrating AI interaction, understand what went wrong and get some closure.
Read the guide →Common reasons an AI ignores part of a prompt, changes the wrong thing or gives an answer that misses the brief.
Read the guide →Understand confident AI mistakes, hallucinations and plausible-looking answers that do not match reality.
Read the guide →Why an AI loses context, repeats old mistakes or appears to forget something you explained earlier.
Read the guide →Why a simple AI image edit can alter faces, layouts, colours or everything except the requested detail.
Read the guide →Break the loop when ChatGPT apologises, promises to fix an error and then immediately makes it again.
Read the guide →Why an AI can acknowledge your complaint perfectly and still fail to make the requested correction.
Read the guide →How to protect fixed text, formatting, code or design elements when asking AI to edit one part.
Read the guide →Understand why repeated AI prompts can produce conflicting conclusions and how to get a more stable answer.
Read the guide →Recognise context drift, conflicting instructions and accumulated errors in long AI chats.
Read the guide →Why identity drifts during AI image edits and how to preserve a face more reliably.
Read the guide →How competing visual instructions, weak priorities and model limitations cause missing prompt details.
Read the guide →A practical workflow for targeted AI image edits while preserving the composition, identity and style.
Read the guide →A plain-English explanation of invented facts, fake citations and answers that sound more certain than the evidence.
Read the guide →A reusable structure for clearer prompts, protected constraints and outputs you can actually verify.
Read the guide →Still need closure?