Nobody has been in charge for decades of the single most important part of the AI revolution: documentation

In August, AI agents made 257 million requests to documentation sites running on Mintlify, compared with 131 million page loads from people.

Agents now read company knowledge at nearly twice the rate humans do.

But that doesn’t mean that human developers have stopped reading; they’re now just delegating more.

Consider a developer asking a coding agent to wire up an API, or a buyer asking a chatbot for vendor comparisons, or a customer pinging a support bot about why a payment failed.

To be sure, my company Mintlify could directly benefit from this argument, but the truth remains that each of those agents goes looking for your company docs, your help center, and your policies, and takes whatever it finds at face value to respond to those requests.

This is a fundamental change in who your documentation is for, and most companies are still writing for an old audience.

Every company has knowledge that looks authoritative, but actually isn’t.

Think about a setup guide someone wrote carefully a month ago and never touched again.

Or a pricing page that actually now contradicts the updated help center.

A person might notice something feels off and ask a colleague for clarification, but an agent won’t.

It picks up the version it found, writes it into code or a support answer, and repeats the mistake thousands of times before anyone catches it.

Developers are already feeling this pain.

Recent research found that the top frustration named by 66% of developers was AI output that is close to correct but still wrong.

Some of that is the models, but in my experience, a lot of it is the material we feed them.