Social and customizable AI writing assistant tool ✍️
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| 🚀 Wordflow Demo | 📺 Demo Video | 📖 Research Paper |
Wordflow is a social and customizable AI writing assistant tool! With Wordflow, you can easily write and run AI prompts with different large language models, including both external models (e.g., GPT 4 and Gemini Pro) and local models (e.g., Llama 2 and Phi 2). You can also discover and share your favorite prompts with the community.
| ✅ | Store and run your favorite AI prompts |
| ✅ | Support different external LLMs (e.g., GPT 4 and Gemini Pro) |
| ✅ | Support multiple on-device LLMs (e.g., Llama 2 and Phi 2) |
| ✅ | Powerful customization (e.g., temperature, templates) |
| ✅ | Discover and share community prompts |
Click to see the demo video!
wordflow-demo.mp4
To use Wordflow, visit: https://poloclub.github.io/wordflow/.
If you use macOS, we highly recommend you creating a Web App using Safari. Open Wordflow in Safari, and then from the menu bar, choose File > Add to Dock.
Note that currently Safari doesn't support WebGPU. If you want to use local LLMs, you can use Chrome to save Wordflow as a Chrome app. In Chrome, at the top right, click More > More Tools > Create shortcut.
If you use Google Doc, we also provide a Wordflow Add-on that you can install from the Google Workspace Marketplace. The source code of the add-on is in this repository.
Clone or download this repository:
git clone git@github.com:poloclub/wordflow.gitInstall the dependencies:
npm installThen run Wordflow:
npm run dev
Navigate to localhost:3000. You should see Wordflow running in your browser :)
Wordflow is created by Jay Wang, Aishwarya Chakravarthy, David Munechika, and Polo Chau.
To learn more about Wordflow and social prompt engineering, check out our research paper.
@article{wangWordflowSocialPrompt2024,
title = {Wordflow: {{Social Prompt Engineering}} for {{Large Language Models}}},
shorttitle = {Wordflow},
author = {Wang, Zijie J. and Chakravarthy, Aishwarya and Munechika, David and Chau, Duen Horng},
year = {2024},
url = {http://arxiv.org/abs/2401.14447},
urldate = {2024-01-29},
archiveprefix = {arxiv},
journal = {arXiv 2401.14447}
}The software is available under the MIT License.
If you have any questions, feel free to open an issue or contact Jay Wang.