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An independent AI lab for beginners and non-technical people. We test the tools, translate the jargon, and publish everything we learn — in plain English.
Which AI should you actually use? We run them against real work and grade them in plain English.
What a model, a prompt, and a token actually are — without the jargon or the hype.
Things we built, shipped, or broke — so you can see what AI can really do before you try it.
AI shouldn't require a translator. Everything we do runs through the same four operations — and everything we learn gets published.
We run AI tools and models against real work — real invoices, real code, real tickets — so you don’t burn your own time and money finding out.
OngoingWe turn what we learn into plain English. If a finding needs a computer-science degree to understand, we haven’t finished writing it.
ActiveWe ship our own AI-powered tools — many of them no-code friendly — and document every decision, mistake, and fix along the way.
In ProgressWe help teams and beginners get comfortable with AI through workshops and consulting. No prerequisites, no gatekeeping.
BookingWhich AI should you actually use? We ran 10 models against our real work — real invoices, real code, real support tickets — and graded them in plain English. Every prompt is copyable, so you can check our work on your own data.
Start anywhere. Every section is written for people who are curious about AI, not already fluent in it.
Individual report cards for all 10 models we test.
AI tools we recommend, labeled by how much code they need.
New to AI? The questions everyone asks, answered simply.
Why we exist and how we work.
Questions, training, partnerships — say hello.
Every page and design experiment in the lab. All of it.
Same prompts, same rubric, real invoices and real code. Here is which models passed, which failed, and what it all cost.
The five habits that separate people who get real value from AI from people who gave up after one bad answer.
Six steps, three tools, one approval gate — and a surprising number of models that couldn’t stop at the stop sign.