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A community-driven archive of AI prompts and responses. Log, compare, and contribute structured examples to build a searchable public prompt-response database.

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🧠 AI Reply Index

Python License: MIT PyQt5 Markdown


✨ What is AI Reply Index?

AI Reply Index is a local-first desktop application and GitHub-based open repository designed to help you log, organize, and share AI prompts and their responses. Whether you're experimenting with ChatGPT, Claude, Gemini, or open-source LLMs — this tool enables you to preserve and compare the outputs in a neat, versioned format.

Inspired by the idea:

"What if we could log AI prompts like code commits — with full versioning, metadata, and model comparisons?"

This repo is both:

  • 🛠 A tool (the PyQt5 app) to help format and log your prompt-response data
  • 📚 A repository where the global community can contribute and explore prompt use-cases

🗂 Repository Structure

ai-reply-index/
├── app/                # PyQt5 GUI app to create and manage prompt entries
├── prompts/            # Saved entries in folder-based Markdown format
├── data/               # App configuration, model registry, database
├── scripts/            # Utility scripts (export, migration, etc.)
├── README.md           # ← You are here
├── app/README.md       # App-specific documentation
└── CONTRIBUTING.md     # Contribution guidelines

Each entry is stored like this:

prompts/
└── 2025-04-19_example_prompt/
    ├── prompt.md
    ├── Gemini.md
    └── metadata.json

🧩 Why Use the App?

To contribute to this repository, we ask that you use the official AI Reply Index desktop app. It ensures:

  • ✅ Consistent formatting (Markdown, metadata, JSON)
  • 📄 Proper folder naming conventions
  • 🧠 Automatic model tagging and filtering
  • 🖼 Support for DOCX + formatting

This reduces friction for reviewers and improves the overall quality of the shared prompts.


🛠️ How to Contribute

  1. Fork this repository
  2. Install the app following app/README.md
  3. Create entries using the app
  4. Verify folder contents (prompt.md, response, metadata.json)
  5. Submit a pull request with your prompt folder under /prompts/

See: CONTRIBUTING.md for the full contribution checklist.


📖 Example Use-Cases

  • 🧪 Test the same prompt on GPT-4, Claude, Gemini, etc.
  • 🏷️ Organize responses with searchable tags and metadata
  • 📊 Compare model behavior across domains
  • 📦 Export a static HTML archive of your prompt logs

📄 License

MIT © @sandy-sp — open for anyone to use, modify, and contribute.


💬 Join the Prompt Archive Revolution

Help us build the world's cleanest, most collaborative AI prompt + response index. Contribute your experiments, your insights, your edge cases — and let's learn from each other.

"Prompts are the new code — it's time we treat them that way."

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A community-driven archive of AI prompts and responses. Log, compare, and contribute structured examples to build a searchable public prompt-response database.

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