Wordflow

Social and customizable AI writing assistant tool ✍️

🚀 Wordflow Demo	📺 Demo Video	📖 Research Paper

What is Wordflow?

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

Features

Demo Video

Click to see the demo video!

wordflow-demo.mp4

Get Started

Standalone Version

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.

Google Doc Add-on

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.

Developing Wordflow

Clone or download this repository:

git clone git@github.com:poloclub/wordflow.git

Install the dependencies:

npm install

Then run Wordflow:

npm run dev

Navigate to localhost:3000. You should see Wordflow running in your browser :)

Credits

Wordflow is created by Jay Wang, Aishwarya Chakravarthy, David Munechika, and Polo Chau.

Citation

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}
}

License

The software is available under the MIT License.

Contact

If you have any questions, feel free to open an issue or contact Jay Wang.