GreenSquare AI

A practice that makes decision work inspectable.

GreenSquare AI is a small Australian practice. It writes and maintains Frame, publishes worked examples and the full record of an earlier study, and answers for all of it as a business.

Why Frame exists.

Capable models produce fluent, well-structured answers quickly. Fluency is not the same as a decision that has been questioned: a number that was inferred rather than given, an option nobody considered and an assumption nobody tested can all pass unnoticed.

Frame writes that questioning down as instructions a model follows. Frame Free, available now, covers the first part: it questions the decision, separates evidence from assumption and names the next gap to check, then stops. It makes the decision easier to inspect without making it for you.

An earlier method file was tested in a preregistered study, and the result was published including the part that did not go our way: it changed how the model worked, and it did not make the model a better judge than a fully briefed one. That study does not validate Frame Free or Frame Pro.

What you can inspect.

Each of these can be checked before you give us an email address.

The guide
Frame Free is six pages. The instructions the model follows are printed in it, so you can read exactly what the AI is asked to do before you use it. Frame Free
Worked examples
The guide’s own worked example, and five illustrative examples on fictional inputs, each labelled with how it was produced. Examples
Historical research
A 45-run preregistered study of an earlier method file, with all 18 protocol deviations and its limitations. It predates Frame and does not validate it. Research overview
File identity
The PDF carries no printed date or version. The release served on this site is identified by its SHA-256 fingerprint, 21a0cf55f3fc93b4, so you can check the file you hold is the one described. Full fingerprint
Contact
Questions about Frame, the research or this site go to hello@greensquare.ai. Write to us

Who maintains what.

The guide
Written and revised by GreenSquare AI. A revised release will be identified by a new fingerprint on this site.
The research record
Run, scored, adjudicated and published by GreenSquare AI. Independence is not claimed anywhere on this site; the record says so in its own limitations.
This site
Maintained by GreenSquare AI. Research figures render from one data file with build-time checks, so a count cannot be typed wrong twice. Record current as at 10 August 2026.

Boundaries that do not change as the model does.

Model-agnostic
Frame is written as instructions a capable model follows, not as a dependency on one provider, so it has to survive a change of model.
Evidence-led
Claims are bounded and revised when the evidence changes. The research pages carry their corrections in date order.
Accountable use
The person who uses Frame owns the decision and its consequences. Frame Free questions a decision; it does not rank options or recommend a course of action.
Truthful about limits
The study headline is partly unfavourable to the method and is published in full, with all its deviations, rather than trimmed to a claim.

The registered operator.

Business name
GreenSquare AI
Location
Sydney, Australia
Governing law
New South Wales, Australia