If you’re using AI to create your technical documentation, you may be causing more damage than you realize. Your documentation might look complete, but it could still be missing the crucial bits, resulting in more problems than if you’d never had any documentation at all.
There’s no debating the fact that using AI saves you time, but without a human eye to at least give the documentation a thorough look-over, you can easily end up with overly confident yet completely wrong explanations that confuse your users and even erode trust in your product.
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Here’s Why Polished AI Docs Can Mislead Users
At first glance, AI documentation usually looks pretty polished. The text reads well and is generally all formatted correctly, with the content itself appearing to answer the obvious questions.
But the problem is that confidence doesn’t equal accuracy. Your users will, of course, trust the information because it looks so good and because they assume it’s complete, and they’ll base decisions on it. But when this information isn’t correct, you’ll be left dealing with questions or troubleshooting non-issues created by the AI.
Even Little Errors Can Add Up
One small mistake might not seem like a big deal on its own, but when it happens again and again, these errors can start to add up. You might notice that projects get held up longer than they should or that it takes longer to bring new team members up to speed. And if your users themselves are struggling, they might end up considering alternative options, affecting retention and adoption.
Put an End To Confident Mistakes With Human Editors
The best way to prevent these issues is to outsource your documentation to expert technical writers, like the DevDocs team, from the get-go. You need someone who really gets your product. If you don’t want to pay them to create documentation from scratch, they can at least take a look at your AI-generated drafts and make sure everything included is accurate and reliable.
When you have a dependable expert reviewing your AI-generated content, you can confirm that all confident-sounding statements are actually true, so your users and support teams won’t be wasting time on something that doesn’t work.
AI Should Support Humans, Not The Other Way Round
There’s no denying how beneficial AI can be when it’s assisting a human-led process. You can use it to do the bulk of the work, especially when it comes to repetitive tasks like repeating bits of text or keeping formatting consistent. But your documentation should always be analyzed by a human writer, giving you the benefits of speed without sacrificing accuracy.
Publishing documentation that’s confident but wrong is one of the easiest ways to erode trust in your product. But you can prevent a whole lot of wasted time and frustration by combining the best of AI tools with a human eye for detail.
