Add-On to Surface Assumptions and Verify an Answer
A follow-up to send after any answer: the model lists the assumptions it made, says what might be wrong, suggests 3 quick ways to check it and labels every uncertain part.
A follow-up to send after any answer: the model lists the assumptions it made, says what might be wrong, suggests 3 quick ways to check it and labels every uncertain part.
My request: [your request] Before you answer, ask me 3 questions to clarify what I need. Then give me two versions of the answer: a simple one and an advanced one. Close with a checklist I can use to check the result.
Task: [task]. Work on it at maximum effort. Then change roles: act as a skeptical expert and critique your own draft. - Find its 3 weakest points. - Fix them. Deliver: the final version, plus a changelog of one line that says what you improved.
Before you reply, ask me whatever clarifying questions you need. If the information I gave is already sufficient, answer right away and tell me which assumptions you are making.
Role: you are a specialist in designing prompts for AI image generators. Concept: [idea] Task: turn this concept into an image prompt that is ready for production. The prompt must specify: - the subject and the environment around it - composition and camera angle - lens - lighting - textures - color grading - visual style and artistic references - level of detail - aspect ratio - quality modifiers - negative prompts that work well Goal: the highest possible image quality and results that stay consistent across the main AI image models. Output: the final prompt in one copyable block, followed by the negative prompt in a separate block.
My most frequently repeated tasks: [list 5-10 tasks] Task: write one reusable Claude prompt for each of these tasks. Rules: - each prompt is optimized for speed, consistency and high-quality output - add placeholders wherever needed, so I can reuse each prompt quickly without rewriting it from scratch