From your CV to your first AI workflow.

Over three months

What it asks of you, week by week

1. The first 3 minutes

   Upload your CV and see your read

   Your CV is read into core skills and accomplishments. Five taps place you on the AI spectrum and six this-or-that cards read how you like to work. Then you see your read: what's strong, where the gaps are, and what AI is doing to your occupation, measured from real usage data and labelled where we modelled it.

   You end up with: Your Skills Constellation™, your AI level, and one plain read of where you stand.

2. Straight after

   Pick your focus

   Rate yourself on the eleven areas of a working life, starting with the four your read points to. Choose three to work on for thirty days.

   You end up with: A 30-day focus, and your first workflow picked for it.

3. Each week

   Run one AI workflow on real work

   A task from your own job, written step by step, at your level: L1 Assist is a single prompt, L2 Chain links steps, L3 Orchestrate runs a process, L4 Design builds the system. Run it in ChatGPT or Claude, check the output against the list, then log how it went. Connect Claude or ChatGPT once and it can fetch the workflow and log the run for you.

   You end up with: Real work done with AI, and an entry in your learning log.

4. After your first run

   Turn practice into proof

   Add what you did to your profile as an accomplishment someone outside the room can read. Publish it when you're ready. The Hive is where people in your field compare notes on the same tools and workflows.

   You end up with: A profile at your own URL, backed by practice rather than a certificate.

5. Day 30

   Re-score and move up

   You rate your focus areas again and see movement against last time, not a standing score. When the workflows at your level feel easy, the next level up is waiting.

   You end up with: A change you can see, and a new focus if the old one is done.

6. Around month three

   The picture has moved, and so has the ground

   The occupation data behind your read is refreshed as the research is. One run a week means your log now holds a dozen real ones. This is the point where it's worth something the first sitting couldn't give you, and the point most people would have stopped if nothing had asked them back.

   You end up with: A record of AI work you actually did, in a form that leaves with you.