Everyday AI sessions and AI for Business workshops

Professionals from a range of business backgrounds knew AI could help with productivity, internal processes and decision-making, but not how to start safely. They wanted hands-on — tools, yes, but also risk, prompting, and how to spot a use case that's actually worth doing. The public session had a different problem. AI had already arrived for these people whether they'd asked for it or not: AI answers sitting at the top of Google, assistants appearing in apps they already used. Ages ran from 10 to 80s. Nobody had sat down with them and shown them how any of it works, or that they were allowed to have a go.

• 10 Business Professionals
• 2 Prompt Frameworks Introduced

The youngest person in the room was 10, building a tuition app in Lovable. The oldest were in their 80s, working out what Google's AI results actually are and setting up their first ChatGPT projects so the tool holds onto what they're working on instead of starting cold every time. Seventy years apart, same tools, same afternoon. The AI for Business session ran alongside it. We opened with what goes wrong: bias, hallucinations, data security, confidentiality, tone and how to check an output before you act on it. Then how the thing works: data, training, prediction. Then agentic workflows and Domain-Driven Agent Design. Two prompting frameworks, RACE and COSTAR. Then 'Pain to Gains': map a real business pain, prototype an agent against it. The room produced DailyUpdate Detective, pulling financial and political market updates, and Genius Invoice for invoicing. What changed by the end wasn't knowledge, it was nerve. People arrived worried about getting it wrong and left with a thing they'd made themselves, which is a hard argument to unmake. The questions shifted from "is this safe to use" to "what else could I point it at". Most people left mid-experiment rather than finished, which is the right place to leave them.