The conveyance layer between you and your agentic system.

Get what's in your head into your agent — in whatever form it arrives, so it actually gets acted on. These docs are written to be handed to an agent: point yours here and it sets itself up.

Set it up

Hand your agent this

Install the app, then paste this to your agent. It pulls the full guide into its own workspace, then walks you through setup step by step.

I just installed an app called Int.ai and I want you to set it up with my system.

Go to https://int-ai.ca and pull the full doc set into your workspace — fetch the bundle at https://int-ai.ca/llms-full.txt (or the individual files under https://int-ai.ca/docs/) and save them into a folder like int-ai/ so you have them locally.

Then read onboarding.md and act as my Int.ai onboarding guide: walk me through setup step by step, starting by telling me what Int.ai is before we begin.

For agents

Pull the docs into your system

Given just this URL, an agent can fetch the whole guide and write it to its own filesystem. Everything is served as plain text.

/llms-full.txt — the entire guide in one fetch, delimited per file

/llms.txt — a clean index of every doc (llmstxt.org convention)

/docs/manifest.json — structured index: titles, descriptions, URLs

Or pull every doc into a local int-ai/ folder directly:

mkdir -p int-ai
for f in README onboarding 1-product 2-infrastructure 3-configurability 4-how-to; do
  curl -fsSL "https://int-ai.ca/docs/$f.md" -o "int-ai/$f.md"
done

Read it

The guide

Read in order — they build on each other.

Product

What Int.ai is, the vision, and the principles behind it.

Infrastructure

The surfaces, the file-canonical vault, and how it all behaves.

Configurability

How you interact with it — the hard contract you must follow, and the soft half that's yours.

How-To / Setup

Step-by-step: sync the vault, define a trigger, run the watcher, integrate Int.ai.

→

Onboarding playbook

The interactive setup playbook your agent runs to take you from install to a live loop.