AI in Practice
Three evenings for people with a thesis to finish — and they stayed past the end of every one.
Where AI actually is right now, and which parts of a research week it can take off you.
Literature and referencing, then data and analysis. End to end, on the free tier of everything.
Slides and documents that do not look machine-made, and building the small tool your department keeps asking for.
They stayed to the end. Every night.
People in the room at each five-minute mark, 19:00–21:30 WAT
Three nights, three different room sizes — and the same shape every time. The room fills by half past seven, holds flat for two hours, and is still full when the clock says stop. Nobody drifts out at half time.
Still there when time was up
Share of that night’s peak room present at 21:00
Sixty-four, sixty-two, fifty-eight. The retention barely moved across the three evenings — a smaller room on Sunday behaved exactly like a bigger one on Friday.
Who was in the room
Registrants by discipline — health sciences, 78% of the cohort
Not a general audience. Nearly eight in ten were health-science students or clinicians, and seven in ten came from one university.
What they came to get done
Free-text answers, coded
The top three are one job: finish the thesis. Ten people wrote some version of “stop paying someone to do my analysis”.
How fast it filled
Registrations per day, 14–27 August
81 people in the first 48 hours — 46% of the cohort — from a single announcement and a WhatsApp thread. No advertising, no budget.
Run this for your department or your team.
Built around the work your people actually have to produce. The next cohort is not booked, which means the date is yours to pick.