https://github.com/sandy-sp/ai-reply-index
A community-driven archive of AI prompts and responses. Log, compare, and contribute structured examples to build a searchable public prompt-response database.
https://github.com/sandy-sp/ai-reply-index
ai-prompts ai-responses community-project llm-testing open-data prompt-database
Last synced: about 1 year ago
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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.
- Host: GitHub
- URL: https://github.com/sandy-sp/ai-reply-index
- Owner: sandy-sp
- License: mit
- Created: 2025-04-16T02:45:04.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-03T03:54:13.000Z (about 1 year ago)
- Last Synced: 2025-05-04T09:12:30.516Z (about 1 year ago)
- Topics: ai-prompts, ai-responses, community-project, llm-testing, open-data, prompt-database
- Language: Python
- Homepage:
- Size: 912 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 🧠 AI Reply Index
[](https://www.python.org/)
[](./LICENSE)
[](https://riverbankcomputing.com/software/pyqt/)
[](https://daringfireball.net/projects/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
```bash
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](./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](./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](https://github.com/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."_