Webinars for founders
Two series, run live and online by the practice that builds these systems for a living. Free to join.
Programme
One series covers how you work with these tools. The other covers building things with them that keep working once customers depend on them.
Series one
Short, practical sessions on getting good at working with these tools, rather than collecting subscriptions.
Most founders are paying for four assistants and using all of them badly. These sessions cover the working habits that separate someone who gets usable output from someone who gets a plausible paragraph back.
Series two
Hands-on builds. Automation, agents, evaluation and the operational habits that keep an AI product working once customers depend on it.
You build the thing during the session. Each one ends with something running in your own account, and covers the part that is rarely demonstrated: how you know it is still working next month.
Schedule
Every session is run live and online, and every one is free. One registration covers the complete four-session series.
Upcoming30 September 2026, 18:30–19:30 BST60 minutes, including questions
Which paid assistant to standardise on, what a working stack costs at an early stage and which startup credit programmes to apply to before paying for any of it.
Upcoming7 October 2026, 18:30–19:30 BST60 minutes, including questions
How to frame a task, what context to supply, and how to check what comes back before you act on it. Covers the categories of work these tools handle badly.
Upcoming14 October 2026, 18:30–19:30 BST60 minutes, hands on
Inbound email arrives, an AI step reads and qualifies it, a row is written, a reply is drafted and a task is raised so nothing is dropped. You build it in your own account during the session.
Upcoming21 October 2026, 18:30–19:30 BST60 minutes, hands on
Building a small evaluation set from real cases, scoring it without a dedicated team, and running it before every prompt or model change so a regression is caught before it ships.
We run the same material inside companies, tailored to what that team actually does all day. Most take the skilling series and swap our examples for their own.