Close the product knowledge loop

AI has changed how users get answers about your product. Many of them aren’t going to your docs to find answers — they’re asking AI tools instead, and AI is reading your docs on their behalf.

The problem is that AI doesn’t read the way a person does. A confused user might backtrack, try something else, eventually land on the right answer. AI doesn’t do that. It picks one answer and delivers it with total confidence. So a stale sentence or a missing edge case doesn’t just trip up the developer who lands on the wrong page — it becomes the definitive answer to that question, served to every user who asks it.

That’s made the quality of your docs more important than ever.

The context problem

But your docs were never the full picture of your product knowledge. The answers to many questions live in the places where people talk about how they use your product — in YouTube tutorials, GitHub Discussions, and community threads. When that context is missing, AI fills the gap with its best guess. That’s where trust breaks down, and where the product experience starts to suffer.

The fix isn’t better AI. It’s better context — and finding a way to keep that context accurate, complete, and improving over time.