An AI that writes and maintains your knowledge base
Giant Context writes a business's knowledge base, the set of help articles a customer reads to answer their own questions, what most products call a help center. Writing it is the easy half. The hard half is keeping it true. A knowledge base is written once and then drifts, because the product it describes keeps changing while the articles do not. Giant Context's AI does both halves. It writes the articles and goes back to keep them current.
Writing it is the easy half. The hard half is keeping it true.
Written from what the business already has
The articles are generated the same way the website is, from the business's own material. The AI does not write generic support boilerplate about a product it invented. It writes about this business's actual product, from the documents and specs the business provided. The answers are true the day they are published. A knowledge base built this way starts accurate, which is more than most manage.
The maintenance nobody does
The cost of a knowledge base was never the writing. It is the maintenance. A product ships a change. Somewhere in the articles, one now describes a button that moved, a screen that was redesigned, a feature that was renamed. No one notices, because reviewing old articles is nobody's job. So a knowledge base fills with confidently wrong instructions that were true a year ago. A customer who follows one into a dead end trusts the rest of it less. The knowledge base was meant to lower support load. An out-of-date one adds to it.
Kept current by the thing that wrote it
The same AI that writes the articles also reads them back. It reviews the existing knowledge base against what the business looks like now and finds the drift, an outdated reference, a stale screenshot, a section that has gone thin, an article missing the troubleshooting steps it should have. For each one it proposes a specific fix to a specific article. A person approves the change before it reaches a customer, the same review step the autonomous email uses. The owner's job shrinks from writing and rewriting to saying yes.
One article, titled Exporting your data, walks a customer through a button labeled Download CSV. Two weeks ago that button was renamed to Export and moved. The article now sends people to a control that is not there. The AI, reading the article against the current product, catches the mismatch and proposes the fix, the new label and the new location, on that one article. The owner reads the proposal, sees it is right, and approves it. No one went looking for the broken article, because the thing that wrote it was still reading it.
Nothing about this is silent. The AI does not quietly rewrite live articles behind the business's back. It surfaces a proposal, names the article and the problem, and waits. Autonomy that edits a company's published support content without a person seeing it first would be a liability, not a feature. The value is that the watching is automatic and the deciding stays human.
The value is that the watching is automatic and the deciding stays human.
Why this is the product
A knowledge base is a technical writer's job. Building one is a project. Keeping it current is a standing cost, which is why most small businesses either never build one or let the one they have go stale. An AI that writes the articles and then keeps proposing the fixes that keep them current gives a business a support asset it could not otherwise afford, and removes the part that made a knowledge base not worth having. Because every article is grounded in the business's own material, it is correct as well as current.
Done stops being a moment
A person writes an article and calls it done. It stays done for exactly as long as nothing changes. Nothing stops changing. The work that has to happen forever, reading the content back against reality and fixing what drifted, is the work a person quietly stops doing. An AI that wrote the article can keep reading it. Done stops being a moment and becomes a loop. Content that used to go out of date the day it shipped stays true because something is always reading it back.
Building something like this
I'm Jesse. I build platforms end to end, and I'm open to work. If this is the kind of engineering you need, get in touch.