Most prompt books optimize for better answers. I wanted prompts that fail visibly. Most prompt collections are fine if all you need is a nicer answer. They save time. If you've never thought about how to ask an AI to reformat a table or draft a meeting summary, someone compiled a list and you can paste from it. Useful. Fine. But that is not the problem I was trying to solve. I Got Tired of Prompt Dumps The problem I had was this: I was using LLMs for serious work. Building tools that run in production. Running security research. Publishing findings I have to defend. The AI-assisted parts of that workflow needed to hold up — not just in demos, not just on clean inputs, but under pressure. Messy inputs. Adversarial conditions. Situations where a confident-sounding wrong answer is worse than no answer. Systems where someone might actively try to manipulate what the model does. A prompt dump gives you words to paste. A field manual gives you a way to test what comes back. That distinction is the whole thing.…