Your docs are outdated. Everyone knows it. Nobody has time to fix it.

The wiki was accurate when someone wrote it. Then the architecture changed, the process evolved, the team reorganised, and nobody updated the wiki because updating the wiki competes with shipping. So the documentation drifts. New hires read it and learn the wrong thing. Engineers check it and don't trust it. Eventually everyone stops looking at the docs and starts pinging colleagues directly, which means the people who know things spend their time answering questions instead of doing their work.

The problem isn't that your team doesn't value documentation. The problem is that documentation is a second job that nobody has time for, and manually written docs decay faster than anyone can maintain them.

What if docs wrote themselves?

Self-writing docs connect to your team's Slack, meetings, and GitHub and produce documentation from what's already happening. No separate writing task. No wiki maintenance sprint. The docs assemble themselves from the conversations and activity where decisions are actually made.

Engineering docs covering architecture decisions, API documentation, and system overviews, assembled from PRs, technical discussions, and team channels.

Product docs tracking requirements, roadmap decisions, and feature context from product discussions and planning meetings.

Decision logs capturing what was decided, when, and why, from the meetings and Slack threads where decisions actually happen.

Onboarding guides that stay current as processes change, so new hires learn what's true today, not what was true when someone last had time to update the guide.

Changelogs tracking what shipped, what changed, and when, assembled from your activity rather than from someone remembering to write a release note.

The docs appear within 24 hours of connecting your sources. They update continuously. After a month, you have a documentation set that would have taken weeks of manual authoring. After six months, a comprehensive knowledge base reflecting your full history. It got there without anyone being assigned to write it.

The docs stay current because the sources do

The reason traditional documentation decays is that it's a snapshot. Someone writes a wiki page reflecting reality on Tuesday. By Thursday, reality has moved on. The page is already wrong, but nobody notices until someone relies on it.

Self-writing docs don't take snapshots. They stay connected to the sources. When the architecture discussion in Slack produces a new decision, the engineering doc reflects it. When the product meeting changes the roadmap, the product doc updates. The documentation stays current because the conversations and activity it's assembled from are current.

AI search across the full knowledge base

Even the best documentation is useless if nobody can find the right page. AI search reads inside every self-writing doc, every connected document, every Slack thread, and every meeting transcript and searches by meaning. Ask "how does auth work" and get a cited answer drawn from the engineering docs, the Slack discussion where it was designed, and the PR where it was implemented.

The AI assistant synthesises across the knowledge base. Ask it to explain how a system works, trace the history of a decision, or summarise what changed last week. It cites every source.

Who this is for

Engineering teams that can't keep technical docs current. Product teams that lose context between planning and shipping. Startups growing too fast to maintain documentation and too small to hire for it. People ops teams keeping policies and onboarding guides up to date. Any team where the documentation is always behind.

Get started

Give your team docs that write themselves. Try Fabric free. See pricing for teams.

FAQs

How do self-writing docs work?

Self-writing docs connect to Slack, meetings, and GitHub. They assemble documentation from your team's conversations and activity. Docs appear within 24 hours and update continuously.

Do they replace our wiki?

They can. Self-writing docs produce the same content a wiki holds, but they stay current without anyone maintaining them. Many teams use them alongside an existing wiki, with the self-writing docs as the living source of truth.

What types of docs can they produce?

Engineering docs, product docs, decision logs, onboarding guides, changelogs, client trackers, sales knowledge bases, and more.

How quickly do docs appear?

Initial docs appear within 24 hours of connecting your sources. They deepen over the following weeks as more conversations and activity flow through the connected channels.

Can anyone on the team search the docs?

Yes. AI search reads inside every self-writing doc and connected source. Anyone can ask a question and get a cited answer.

Do the docs update when processes change?

Yes. Self-writing docs stay connected to their sources. When a process changes in Slack or a meeting, the doc reflects the change without anyone manually editing it.

Can I edit the self-writing docs?

Yes. They're editable like any document. You can refine, restructure, or add to them. The self-writing capability adds to what's there rather than overwriting your edits.

What tools does Fabric connect to?

Slack, Google Drive, Dropbox, Notion, Gmail, GitHub, and meeting tools. See connections for the full list.

Is our data secure?

Yes. Fabric uses AES-256 encryption and is CASA Tier 2 compliant. Your data is never used to train AI models.