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Which AI tool do you use for documentation?

prajaktaa

I am curious to know that which AI tool the community members are using to create or improve technical documentation.

Whether it is for the project documentation, API documentation any troubleshooting guides, or internal knowledge base articles, AI has become a helpful assistant for many professionals.

Some popular options include ChatGPT, Claude, Gemini, GitHub Copilot, Microsoft Copilot, and Perplexity, but each has its own strengths and limitations.

My questions are:

  • Which AI tool is easy to use for documentation?
  • What type of documentation do you create with it?
  • What do you like most about the tool?
  • Have you found any limitations or challenges?
  • Do you rely on AI-generated content as-is, or do you always review and edit it before publishing?

I'd love to hear about your workflow, practical experiences, and any tips or best practices you've discovered.

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  • I received this table from a AI introduction course. It is the authors recommendation for the AI to the particular job.

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  • I received this table from a AI introduction course. It is the authors recommendation for the AI to the particular job.

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  • in reply to colporteur

    This table is horrible, I have no clue where the authors got this data from, my guess is either astrology or hand reading.
    Perplexity is not a model. Claude models can access 'internet' just fine. Cost of API use is also made up random data. There's also no such model as 'Claude' or 'Gemini', there are about a dozen models in each of those families with wildly varying API costs. (at the moment, the top Claude model is the most expensive out of all). Context window data is made up too, Claude models have significantly larger context windows than GPT 4o, yet they are both claimed to be 'Large', Gemini models generally have the same as Claude models, while one is shown as 'Large' and the other is 'Very Large'.