This is a Pink House side project, designed for sight-impaired people. It is live on this page. Press the pink PH button. Colour changes the page. Sound talks. You can install it on your own website — not Windows, not Mail, other windows stay the same. If you cannot see these words, listen first. If you are a coach, CNIB, or OT, use the coach door. Full instructions
Governance, compression, and visibility for organizations that cannot afford guesswork.
Pink House builds the control points that live inside the architecture — before the output leaves the system, before the tokens burn the budget, and before the bill becomes the news.
People in this trade look for things next to governance. They do not always look for governance itself. We did. Michelangelo is the control point before an answer can be used. The writing is how you catch a wrong one when the model sounds sure.
Trust But Verify — the live story · Michelangelo · Plimsoll · Writing portfolio · DTC book (not AI) · Tranquility
New writing
I asked four AIs to prove a theorem that does not exist. All in the name of Governance.
A trick prompt on the 3D Navier–Stokes equations, four models, and one governance lesson: every one of them refused to invent a proof that does not exist. You still sign what you publish.
Not an AI product
Before AI, I was a pretty effective supply chain retailer.
The work that paid the rent was inventory, freight, classification, and getting the truck to the door on time. Pink House is an AI shop now. This book is the other half of the ledger: a North American operations playbook for DTC brands after the United States killed the $800 de minimis loophole on 29 August 2025.
China-as-gravity is over. Mexico, velocity, HTS, and the 3PL are not optional extras. They are the job. About 20,000 words. No model. No prompt. The operations I learned before this industry had a nickname.
Pre-execution AI governance. The control point before the output leaves the system.
Regulated AI needs more than logs after the fact. Michelangelo enforces admissibility at runtime — before an output can be used — and seals machine-readable evidence packs that can be replayed. Mapped to FDA 21 CFR Part 11 and EU GMP Annex 11. Built for high-consequence workflows including cleanroom environmental monitoring, deviations, and batch-release support. Provisional patent 63/924,367.
AI wire compression — fewer tokens in, same answer out.
Raquel compresses language-aware payloads before they hit the tokenizer. Not gzip. Content-aware encoding that cuts inbound token load so providers and customers keep margin without changing the end-user experience.
Real-time AI cost and session monitoring across the providers you actually use.
You cannot govern what you cannot see. TokenScope watches spend and sessions provider by provider — starting with the top active providers — so finance and engineering share one picture.
In development
Six chapters. From Markov chains to Tuesday’s real threats.
A series for readers who want to understand how we got here — not just react to headlines.
A shelved brief, back on the desk: thorium reactors to power training compute on the Moon. The hard stops were reactors, lift, time, and cost. Those stops have moved.
Now
What it actually is. Why the EU required it. And whether you should stop using Claude.
Pick a title. That is the point.
When flattery burns tokens — and the bill spikes 67%.
Graham’s number, odd/even traps, and where models start bluffing.
A live betta fish, and the scariest sentence of the year: he was not wrong.
Not everything here is a white paper. If you want a short story:
The Useful Mission — three characters, a boat, Frying Pan Shoals, 1962.
Pink House Technology builds practical control points for AI at work — governance before the output leaves the system, compression before tokens burn the budget, and visibility across the providers you actually use.
Phil Cheevers founded Pink House to close the gap between “we use AI” and “we can defend, measure, and afford how we use AI.” Before that, the work was supply chain and retail operations — merchandise, freight, and the quiet math of a profitable order. The AI products are on this page. The operations book is too. Both are instruments, not slogans.
Best for: partnerships, regulated QA, compression pilots, TokenScope early access