I'm curious if anyone here has experience using AI-driven documentation builders, specifically tools like Scribe or DocsHound. I've noticed that many demos focus solely on web-based applications, but not everyone operates within that realm; we also deal with command-line interfaces (CLIs), Windows applications, and other environments. How effective are these tools beyond just online settings?
7 Answers
Most of these AI tools actually have a desktop version that can capture elements from your desktop applications. Scribe is a great example of this.
Recently, we generated 400 pieces of application documentation for a client. After tweaking our prompts for a few days, we got reasonably good results, especially for well-known applications. The documentation ranged from okay to completely off-the-mark for less popular tools. Ultimately, the client was satisfied, and since we got paid, it was a win for us!
I primarily use markdown for my documentation, so integrating AI-generated content has been a breeze for me. It's really simplified the process!
You might want to check out Ferndesk. It integrates with your codebase to generate documentation directly from it. Different contexts aside, I've also heard that Freed AI performs well for medical documentation, though I’m unsure how effective it would be for technical docs.
I've mostly worked with standard AI docs. They’re not flawless, but with the right prompts, they can save a lot of time. Just keep in mind that you should review everything multiple times to refine the content. For smaller documents, they really help a lot!
I've found that Scribe's quick summaries can sometimes be pretty lackluster, but the automated screenshots it provides are a real time-saver when you're in a rush.

Related Questions
Neural Network Simulation Tool
xAI Grok Token Calculator
DeepSeek Token Calculator
Google Gemini Token Calculator
Meta LLaMA Token Calculator
OpenAI Token Calculator