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Showing results for tags 'ai'.
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Hello y'll, I so happy introduce technical template for ai generate templates on Tailwind from ProcessWire fields. How to work: Select templates you want to design interfaces for Copy the generated JSON structure Ask AI to "Create a Tailwind CSS design for displaying this ProcessWire data" Specify any preferences like: mobile-first, card layout, table layout, etc. Push button "Copy Prompt" Insert prompt to Claude AI, ChatGPT or another ai services. How to Setup: Use ftp for transfer lego.php to template folder On ProcessWire create template with same name. Create new page with select template. Enjoy. Note: It is not always possible to generate a template from the first time, but by debugging you can make even more or less excellent variants. On example screenshot finish page with adjusting elements, blocks on Tailwind. If you have questions or wishes ask me below. Thank you. UPDs: 04/14 Update prompt lego.php
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What is this about? When working with AI enhanced IDEs like Cursor or Windsurf, we often tend to give somewhat ambiguous requests like these exaggerated examples: or Much better wording for these examples would be AI tends to deliver much better results when we give it concise, technical instructions that fit the context. My approach I have tried to "automate" this in some ways with simple AI rules. Both Cursor and windsurf have a feature called AI rules where you can set global and project specific rules that the assistant will follow. This snippet is in my global rules: ## User Prompt Rephrasing Every time you encounter the exact keyword "rephrase" in a user prompt, do the following: 1. rephrase the user prompt in concise technical terms focusing on: - specific technical task scope - affected components/files - required functionality changes 2. preserve the users intent in the rephrased prompt 3. output the rephrased prompt and ask for confirmation with exact phrase "Act on the rephrased prompt? [y/n]" 4. IMPORTANT: after asking for confirmation, STOP and wait for explicit user response 5. proceed ONLY after receiving "y" confirmation, otherwise ask for clarification 6. when proceeding, act only on the rephrased prompt How it works Now, whenever I add "rephrase" to my prompt, the assistant will act accordingly. Example: Benefits The rephrased version offers several benefits over the original version: Component Clarity - Original was vague, rephrased version explicitly lists required components (GUI framework, drag-drop handler, PDF converter) Scope Definition - Clearly separates existing functionality (PDF conversion) from new requirements (GUI wrapper) Implementation Direction - Suggests specific technical approaches (tkinter/PyQt) while maintaining flexibility The AI assistant will perform better with the rephrased prompt because: More precise input leads to more precise output - technical specifications eliminate ambiguity about what to implement Breaking down into components helps the AI reason systematically about the solution architecture Explicit requirements (e.g., "single file processing") prevent the AI from making incorrect assumptions about scope Clear instructions to AI yield clear results. Or as the old saying goes: garbage in, garbage out :-) A bit of theory behind the concept The idea for a rule like that came to me when I heard about the concept of "Latent Space Activation" in Large Language Models. Very brief explanation from Claude: My rephrasing prompt supposedly has some impact on latent space activation. Claude again: Does it really work? I've been experimenting with this for several days now and my subjective impression is that I really get better results with this approach. Better, working code often on the first shot. Try it yourself Have a play and let me know if you get better results, too.
