Cursor rule

Cursor Rules for Structuring Content for AI

This is a free, MIT-licensed Cursor rules file for structuring documentation and knowledge-base content so an AIML.chat agent can retrieve and cite it well — clear headings, focused pages, and descriptive titles. Drop it in .cursorrules and the content you write is answerable, not just readable.

This is a free, MIT-licensed Cursor rules file for structuring documentation and knowledge-base content so an AIML.chat agent can retrieve and cite it well — clear headings, focused pages, and descriptive titles. Drop it in .cursorrules and the content you write is answerable, not just readable.

What these rules do

A grounded agent is only as good as the content behind it, and retrieval favors content that's organized for it. These rules teach your AI editor to write each page around one topic with a clear H1 and descriptive H2s, to keep pages a chunkable length, to lead with the answer rather than burying it, and to use concrete titles that match how people search. They also discourage duplication and stale pages that confuse an agent. Apply them while writing docs, help articles, or a wiki, and the AIML.chat agent built on that content answers more questions with cleaner citations.

The rules

# Structuring content for AI retrieval (AIML.chat style)
- One topic per page; clear H1 and descriptive H2 sections.
- Lead with the answer; don't bury it under preamble.
- Keep pages a chunkable length — split long ones by topic.
- Use concrete, searchable titles over clever ones.
- Avoid duplicate or stale pages that confuse retrieval.
- Prefer plain language and define terms on first use.

How to use it

Save the block as .cursorrules at the repo root of your content project, and your AI assistant applies it as it writes. It pairs with the Docusaurus rules for docs sites and the RAG pipeline rules for retrieval. The documentation use case explains the agent this content feeds.

Ready to build? Start free, structure your content, and ground an agent — see pricing for limits.

Why does content structure matter for an agent?+

Retrieval favors focused pages with clear headings and concrete titles — well-structured content yields cleaner, cited answers.

Where do I put the file?+

Save it as .cursorrules at the repo root of your content project; your AI assistant applies it as it writes.

Are the rules free?+

Yes — they are MIT-licensed and free to copy. Using the agent counts toward your plan's limits; see pricing.

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