Two in three employees use AI outputs without evaluating them at all. Not lazy people. People exactly like you, moving fast, trusting the machine because checking feels slow. This cohort is five live weeks of building the judgment that closes that gap: what to hand to AI, how to brief it, how to judge what comes back, and who owns the outcome. You bring your real work. €120, ten seats, homework every week. That last part is not a typo.
Live with Ranya, on your own tasks. No code, no jargon required. Real homework, though.
KPMG and the University of Melbourne asked roughly 48,000 people across 47 countries how they actually work with AI (Trust, Attitudes and Use of Artificial Intelligence, 2025). Three of their findings should bother you:
of employees have made a mistake in their work because of AI
admit they hide their AI use and present the work as their own
use AI outputs without evaluating them at all
Some of you are hiding your AI use right now... actually, statistically, more than half of you. That's not a character flaw. It's what happens when a company hands people a tool and never teaches them judgment. This cohort teaches the judgment.
Knowing which buttons to click in ChatGPT is not AI literacy. Tools change every quarter. Judgment compounds. AI literacy is four competencies that run as one connected system. Pull on any one of the four and the other three move too.
Deciding what work is yours, what's AI's, and how you split it.
Communicating goals, process, and behavior so AI actually delivers.
Judging whether the output, the process, and the collaboration itself are any good.
Owning the outcome: what you check, who you tell, what you vouch for.
The 4Ds come from Dakan, Feller & Anthropic's AI Fluency framework (CC BY-NC-SA). Their framework, credited fully. The mapping onto operator work, your CRM, your reports, your customer emails, is ours.
Every session runs the same shape: a short recap, two tight theory blocks, then 15 minutes of hands-on work in pairs or small groups, on a real task from your own week. A status update you actually owe someone. A customer email you actually have to send. Nothing hypothetical, nothing you sit through passively.
What AI literacy actually means. The 4Ds as one system, and the three modes of working with AI: Automation, Augmentation, Agency. You'll find out which mode you're stuck in. Most people don't like the answer.
Delegation and Diligence. What should AI touch? What should it never touch? You leave having made at least one strategic AI decision on purpose instead of on instinct.
Description and Discernment. The craft of the moment to moment: briefing AI on product, process, and performance, then judging what comes back with the same three lenses.
Everything made explicit: what you delegate, what stays human, how you handle transparency, how you verify before anything goes out under your name.
The group stress-tests your policy with hard questions. You leave with one real edit, a 90-day plan, and a habit for keeping this alive after the room closes.
No certificate theatre. Completion means doing the work and being in the room, and we document both.
A job description for your AI, written against one real workflow from your own stack.
Not a prompt. A working setup with your product, process, and performance standards, tested across three real iterations.
Your non-negotiables, made explicit: what you delegate, what stays human, how you verify. Pressure-tested by the group.
One more practical thing: the EU AI Act's Article 4 has expected organisations to support staff AI literacy since February 2025, and documented training is how most will show it. This cohort is structured, documented training with attendance and completion records. If your company needs to point at something, point at this. The invoice makes the internal conversation short.
We've all signed up for free courses. We've all quietly not attended them. Free means optional, and optional means the first busy Tuesday wins.
So this cohort asks for two things. €120, enough that your calendar treats it as real. And a working contract: homework every week, participation in every interactive block, and one absence maximum across the five weeks.
Show up. Do the work. That's the deal, and the price is mostly there to make sure you keep it.
Take a seat · €120Take their course, seriously. It's about three hours, self-paced, and it's where the 4Ds come from. We credit it on this very page. What it can't give you: a live room of ten operators, five weeks of homework someone actually reads, your own workflows as the course material, and 1:1 time when your specific case doesn't fit the general answer.
No catch. The expensive things we sell are built workflows, and this page isn't selling you one. We priced the cohort to filter for commitment, not to fund the company. €120 is roughly what a team dinner costs, and this one changes how you work.
50 minutes live each week, plus homework. The homework is your actual work: a real email, a real report, a real workflow from your own stack, done with more intention than usual. Plan for about an hour on top of the session.
No. Nothing here requires code or jargon. The framework works whether you're in ChatGPT, Claude, Copilot, or whatever your company rolls out next quarter.
One absence is fine, life exists. More than one and the system breaks, because each session builds on the artifact you made the week before.
Seats are individual, and the room works because everyone in it speaks. If you want AI literacy across a team, that's a different conversation.
The cohort is the product. You'll leave with three finished artifacts and no pitch.
Ten seats, and the homework starts week one. If you've read this far and you're still deciding, that's fine... but tell me what's stopping you. Reply to any email from us, or say it on the discovery call. I answer both.
Next cohort starts 1 October. Payment link follows by email, no card needed on this page.
10 of 10 seats left. We close the room when it fills.