Fully Inhabit
AI content standards · One page · Free

Write these down before the model writes for you.

Twelve conditions that should be true before AI-generated content ships to a customer. Each is binary — it holds or it doesn't. Written by the founder of Fully Inhabit, who defines AI content standards for one of the largest regulated investment platforms in the US.

Name a fair price — zero is a fair price

Instant PDF. An email address is the whole cost.

The twelve, in four moves

The agent drafts. A human decides. Everything else is that line, applied.

1

Standards

Written down, not remembered — a named owner, a vocabulary the model can be pointed at, voice guidance in a versioned document.

2

Boundaries

The judgment calls, named. Approval made structural — no model marks its own work approved. High-stakes surfaces listed.

3

Review

Provenance on every draft, a binary gate before publish, and accuracy checked against a source — "sounds right" is not a check.

4

Watch

Review dates on everything shipped, failures logged with reasons, and a way to turn it off decided before it's needed.

This is the standards layer most teams discover they were missing after something ships that shouldn't have. The page exists so you can be the other kind of team.
FAQ

Fair questions.

What's the catch?

An email address. You'll get a receipt with the PDF, and occasionally a note when a new system ships. That's the whole arrangement.

Is this a policy template?

It's tighter than that — twelve binary conditions you run against your own operation. The fails are your roadmap. Policies get remembered when convenient; a checklist either passes or it doesn't.

What enforces it?

On its own, you do. If you want the boundary written into the workflow itself — fields an agent may populate, fields only a human may set — that's the Fully Inhabit Suite ($39 in the shop), where the standards live in the database instead of on a poster.

We're already deep into AI content. Too late?

It's the best time — you have real output to run the twelve conditions against. Most teams retrofit standards after volume; the ones that do it deliberately do it once.

Free · one page

Run it against one surface this week.

Print it, pin it, and check twelve boxes against whatever your AI shipped last. The fails are the roadmap — and the operating layer that closes them is $39 when you're ready.