Question 1

How do I change the AI models in twitterbio to use something other than Qwen or GPT OSS?

Accepted Answer

The project is hardcoded to use Together AI's Qwen 3.5 and GPT OSS models. To switch models, you'd need to modify the API calls in the source code, as it's not configurable via settings. Check Together AI's documentation for available models and update the endpoints accordingly.

Question 2

Is twitterbio better than using ChatGPT directly for generating bios?

Accepted Answer

twitterbio is specialized for Twitter bios with streaming and dual models, offering a focused, fast experience. ChatGPT is more versatile for general AI tasks but may require more prompt engineering. For quick, tailored bio generation with real-time feedback, twitterbio is efficient, but for broader use cases, ChatGPT might be preferable.

Question 3

Can I deploy twitterbio on my own server instead of Vercel?

Accepted Answer

Yes, since it's a Next.js app, you can deploy it on any hosting service like AWS, DigitalOcean, or a custom server. You'll need to set up the environment variables (e.g., TOGETHER_API_KEY) and install dependencies manually, unlike the one-click Vercel option.

Question 4

How customizable are the prompts in twitterbio?

Accepted Answer

The app constructs custom prompts based on user input, but for advanced customization, you must edit the prompt engineering logic in the source code. It's not exposed through a UI, so changes require development work.

Question 5

What happens if Together AI's API goes down or changes?

Accepted Answer

The application will fail to generate bios, as there's no fallback mechanism. You'd need to update the code to adapt to API changes or switch providers, which involves significant rework due to the tight integration.

Question 6

How can I add support for generating LinkedIn or Instagram bios with this tool?

Accepted Answer

You would need to modify the code to adjust the prompts and potentially the interface to specify different platforms. It's not built-in, so this requires forking the project and implementing new features, which can be complex.

twitterbio

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