A categorized library of 200+ battle-tested prompts delivered as a Notion database, spreadsheet, or searchable web app — each prompt includes fill-in-the-blank variables, a sample output, platform compatibility tags, and chaining instructions for multi-step workflows. Unlike random prompt lists floating around for free, every prompt in this library follows a consistent structure and has been tested across GPT-4, Claude, and Midjourney with documented results. The buyer is anyone who uses AI tools daily but spends more time wrestling with prompts than getting actual work done.
AI Prompt Library
A structured collection of tested, copy-paste-ready prompts organized by use case — with variables, output examples, and chaining instructions so buyers get reliable results from ChatGPT, Claude, or Midjourney without learning prompt engineering.
Preview
What it is
What's inside
- 240+ prompts organized across 6 categories (marketing, writing, code, business, data analysis, image generation)
- Each prompt has named variables in {{brackets}} with fill-in instructions and example values
- Sample output screenshot or text block for every single prompt so buyers know what to expect
- Platform compatibility tags (GPT-4, Claude, Gemini, Midjourney) tested and labeled per prompt
- Prompt chaining guides — multi-step sequences where one prompt's output feeds the next
- Difficulty ratings (plug-and-play vs. requires context vs. advanced customization)
- Notion database version with filters, search, and favoriting
- Google Sheets version with category tabs and copy buttons
- Quarterly update log — new prompts added as models evolve
Where to sell
Quick start
- 1 Define 6-8 categories based on real workflows people do with AI daily — marketing copy, content writing, code generation, business strategy, data analysis, image prompts — then list 30-40 specific tasks per category
- 2 Write each prompt using a consistent template: role assignment, context block, task instruction, output format, constraints — and insert {{named_variables}} with clear placeholder descriptions
- 3 Test every prompt on at least two models (GPT-4 and Claude), save the output as a sample, and tag which platforms it works best on — cut or rewrite any prompt that doesn't produce reliable results
- 4 Build the delivery format — a Notion database with category/difficulty/platform filters and a parallel Google Sheets version with one tab per category so buyers can pick their preferred tool
- 5 Create 5-10 'hero prompts' with before/after comparisons for your sales page — showing the generic attempt vs. your engineered prompt side by side is the most convincing sales asset
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