# Show HN: Using a diffusion model to write docs quickly

> Source: <https://www.cortee.ai>
> Published: 2026-09-18 12:43:28+00:00

# Write documentation fast

with minimal effort.

When you tell Cortee what changed, it updates the live page in under a second<sup>1</sup>.

## From a written note to a reviewed change

[Write what you know.](#intern-thought) Cortee [applies the edit.](#intern-edit) You [remain in control.](#intern-control)

1. ### Write what you knowThink of it as your notepad. Use a few words to describe what changed.
2. ### Cortee applies the editThe edit lands on the live page, so you can see what changed right away.
3. ### You remain in controlEvery paragraph is backed by the facts you wrote, so you can see where any line came from.

## Why Cortee

## A narrower approach to generated documentation

A wiki leaves the writing to people, so trust stays high and updates stay slow. A markdown repository can rewrite entire pages, then leave changes that are hard to follow. Cortee takes a narrower path. From the fact you provide, it proposes a small change tied to that fact, and you decide what remains on the page.

[AI documentation that stays current](https://www.cortee.ai/ai-documentation) · [Docs without Git](https://www.cortee.ai/docs-without-git) · [Compare](https://www.cortee.ai/compare)

## Your data stays yours.

For more information, visit our [Privacy Policy](https://www.cortee.ai/privacy) and [Data Processing Agreement](https://www.cortee.ai/data-processing-agreement).

### What we never do

- We do not train on your data.
- We do not sell your data.

### Where it lives

- Documents are stored in the EU on AWS in Ireland, including history and logs.
- Sign-in, search, and generation currently run in the United States.

### Access and control

- Access is separate for each organization.
- Access is restricted and logged.
- You can export or delete your data on request.

## When a process changes, the documentation should change with it.

<sup>1</sup> Typical edit latency is around 0.7s in internal tests. Performance varies by prompt complexity, network, and system load.