unit-text

Unit tests for plain text

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Don't let LLMs write blog posts for you. Do your research, bring your own voice, and use LLMs to criticise and iterate on your writing.

🤌 Why unit-text?

If you're a developer like us:

• You're probably aware you should write more (either because your leadership asks for it, or because you'd like to be invited as a conference speaker, or ...)
• You don't know what to write about.
• You have considered letting ChatGPT write blog posts for you.

If you tried the last option (or read anything on the Internet in the past 2 years) you would also know why it's not really that good of an idea.

Sure, you may get a perfectly good post, but it won't be your own.

unit-text applies the concept of unit tests to prose. You are the one writing, the LLM is just your critic.

First, you define a goal, the audience you have in mind, and what you wanted them to do differently after they read your post. Then, you start writing and iterating on your draft. unit-text gives you feedback: you run tests to validate whether your draft is going in the right direction.

An AI copy editor, you could say.

⚙️ Installation

We recommend uv to run the CLI.

# to run the CLI straight away
uvx unit-text --help

# or if you prefer to install it
uv tool install unit-text

You may of course also use pip to install the CLI - or pipx if you prefer to install it in an isolated environment.

pipx install unit-text

# ...or if you like to live on the edge
pip install unit-text

🔨 Usage

Requirements

Either:

• Ollama must be running locally;
• OLLAMA_HOST should point to an Ollama server.

# To generate a blog idea
unit-text ideate

# To validate the working draft
unit-text test <path-to-the-draft.md>

📝 Process

The ideation phase is where you define your blog idea. It looks something like this:

Your idea is now stored in a unit-text.json file, in the current directory.

You may run unit-text ideate again at any time to finetune it.

Now you can start writing, let's say you're writing in a file called draft.md.

At any time, you can run unit-text test draft.md to validate it. Initially, it may look something like this:

Keep iterating on your draft, based on feedback from unit-text, until it passes all tests:

💻 Contributing

If you want to contribute to the project, please read the CONTRIBUTING.md file.

It contains information on how to set up your development environment, submit issues, and create pull requests.

📜 License

This project is licensed under the AGPLv3 License. See the LICENSE file for details.