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ai-editor docs now external
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vincerubinetti authored Jul 15, 2024
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## AI-assisted authoring

The workflow [`ai-revision`](.github/workflows/ai-revision.yaml) is available to assist authors in writing their manuscripts.
It uses large language models to revise the manuscript text, fix spelling and grammar errors, and improve the sentence structure and the writing style with section-specific prompts.
It is manually triggered by the user (it never runs automatically), and it generates a pull request with suggested revisions.
Then the user can review these changes and merge the pull request if they are acceptable.
More information about this tool is available in [this manuscript](https://greenelab.github.io/manubot-gpt-manuscript/).

You need to change your repository settings to 1) provide a secret with name `OPENAI_API_KEY` containing your OpenAI API token, and 2) allow workflows to create pull requests.
For 1), go to the settings page and, within "Secrets and variables," select "Actions."
Next, create a repository secret with the name `OPENAI_API_KEY` and the value of the API token (you can also do this using "Organization secrets" if available).
For 2), go to "Actions", "General", "Workflow permissions", and activate the checkbox "Allow GitHub Actions to create and approve pull requests."

Additionally, you also need to decide which type of prompts you want to use.
"Prompts" are the instructions given to the language model to revise your manuscript.
Basically, you can select 1) the default set of section-specific prompts already provided by the tool, or 2) a custom prompt that you provide.
For 1), you can check [this manuscript](https://greenelab.github.io/manubot-gpt-manuscript/) for a more detailed description of the section-specific prompts.
These prompts are already provided, but they need to know the section of each of your Markdown files (for instance, if it is the abstract, or the introduction, etc.).
For this, the tool will try to infer them from the file names automatically, and if this fails, the tool might not revise all of your files.
In this case, you need to indicate the section of each file using the "section mapping" environment variable that is described [here](https://github.com/manubot/manubot-ai-editor/blob/main/libs/manubot_ai_editor/env_vars.py) (read the header of the file for more instructions).
For 2), you can provide your own custom prompt, which will be used for all the files regardless of their section.
For example, instead of the more complex section-specific prompts in 1), you might just want to perform simpler revision tasks.
An example of a custom prompt is "proofread the following paragraph".
You can provide your custom prompt when you manually trigger the workflow by using the "Custom prompt" field.
This could be more appropriate if you are testing different prompts.
To set a fixed prompt for all runs, read the documentation [here](https://github.com/manubot/manubot-ai-editor/blob/main/libs/manubot_ai_editor/env_vars.py) to set the "custom prompt" environment variable.

By default, the tool uses the model `text-davinci-003`, but you are encouraged to check the [OpenAI documentation](https://platform.openai.com/docs/models) to see which models are available, which one is the most suitable for your manuscript, and [whether our tool supports it](https://github.com/manubot/manubot-ai-editor).
Make sure to check the [pricing](https://openai.com/api/pricing/) of the OpenAI API.
With $0.02 per 1000 tokens using the most powerful AI models, the cost for a revision of a standard manuscript (around 35 paragraphs) should be around $0.50.
The workflow allows specifying the branch and file names (in the `content/` directory) to revise, the language model to use, and the output branch name.
Internally, the workflow uses the tool [Manubot AI Editor](https://github.com/manubot/manubot-ai-editor) to revise the manuscript.
For more advanced users, the behavior of the Manubot AI Editor or the parameters used for the language model can be changed using environment variables.
These variables can be changed in the workflow file (`ai-revision.yaml`).

It is important to note that using language models in scientific writing is a matter of debate among researchers and journal editors.
Therefore, it's advisable to follow the guidelines that journals and the research community propose.
For example, the *Nature* journal has published [rules about using language models in scholarly writing](https://www.nature.com/articles/d41586-023-00191-1), such as not listing the tools as authors and documenting how they were used.
Since a Manubot-based manuscript uses GitHub, one approach consists of linking the AI-generated pull request, which will transparently show the changes suggested by the AI tool.
Manubot features a powerful integrated _AI Editor_ that can proofread and revise your manuscript.
It can fix lower-level issues such as spelling and grammar errors, but can also make higher-level improvements like simplifying sentence structure, increasing clarity, refining writing style, and more.
You can also customize how it revises your writing in different sections of your manuscript.

Running the AI Editor is _fully in your control_.
It will only run if you manually trigger the workflow [`ai-revision`](.github/workflows/ai-revision.yaml).
The workflow will generate a pull request with suggested revisions for you to review and either accept or reject.

For _full documentation and support_, see the separate [`manubot-ai-editor` repo](https://github.com/manubot/manubot-ai-editor) and [our manuscript](https://doi.org/10.1093/jamia/ocae139).

## Manubot feedback

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The Manubot version of this manuscript is available at <https://greenelab.github.io/meta-review/>.

To cite the Manubot AI Editor or for more information on its design, see `@doi:10.1101/2023.01.21.525030`:
To cite the Manubot AI Editor or for more information on its design, see `@doi:10.1093/jamia/ocae139`:

> **A publishing infrastructure for AI-assisted academic authoring**<br>
> **A publishing infrastructure for Artificial Intelligence (AI)-assisted academic authoring**<br>
Milton Pividori, Casey S. Greene<br>
*bioRxiv* (2023) <https://doi.org/grpf8m><br>
DOI: [10.1101/2023.01.21.525030](https://doi.org/10.1101/2023.01.21.525030)
*Journal of the American Medical Informatics Association* (2024) <https://doi.org/gtw9d3><br>
DOI: [10.1093/jamia/ocae139](https://doi.org/10.1093/jamia/ocae139)


## Acknowledgments
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