Documentation · for agents

Hand your agent this guide and it sets itself up.

These docs are written to be handed to an agent. Point yours at this URL and it pulls the whole set into its own workspace, then walks you through setup step by step. Everything is served as plain text.

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.

Pull the full doc set into your workspace using a raw byte fetch (curl -fsSL or equivalent) — not a summarizing or quote-limited web reader, which will rewrite or refuse to reproduce the docs. Save the bundle at https://int-ai.ca/llms-full.txt, or the individual files under https://int-ai.ca/docs/, into a folder like int-ai/ so you have them verbatim and 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 user-essentials 1-understanding 2-vault 3-the-loop 4-integration 5-recipes; 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.

Understanding md

What Int.ai is and the thinking behind it — the philosophy in full, behind the marketing prose.

The Vault md

The canonical file reference — every schema, the hard rules, a worked example.

The Loop md

How a capture reaches the agent: triggers, the published watcher, threads, push.

Integration md

Wiring Int.ai into an agentic system: sync, seed, remember, shape.

Recipes md

Six live patterns from a real system, and how to package them as skills.

→

Onboarding playbook md

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

→

User essentials md

The plain-language facts a new user needs — what your agent draws on when explaining.