Friday 30 October 2026 · 9:00am to 12:15pm
Nelson · $195 incl. GST
In person with Serge van Dam. No coding required.
Booking for your team? You can pay by invoice.
What you’ll do
Bring one service or repetitive task from your business. Serge will take you through how to design a service with AI in it: what an AI agent needs to know, when it should act, and where a person stays in control.
Then you’ll map your own task, step by step: what triggers it, the information it needs, what it produces, and who signs off. You leave with a clear blueprint for an agent to handle it.
In the last hour, Serge builds agents live, including a couple from the room, so you can see how quickly a well-planned agent comes together. You leave with your completed blueprint, ready to turn into an agent. Everyone gets Autohive credits on the day. (Serge is involved with Autohive, the platform used in the session. The planning works whichever tool you use later.)
For example, an agent that:
Who it’s for
People who run a service or a repetitive process and have one in mind to work on. You should have used ChatGPT, Claude or Gemini before. This session is about how to put AI to work.
What to bring
We supply the Autohive credits.
A note on Autohive
The workshop uses Autohive, a no-code platform for building AI agents. Serge is an investor in Autohive. We use it because it keeps the session focused on one tool, and what you learn carries across to others.
About Serge
Serge van Dam is an investor in several New Zealand AI companies and an Operating Partner at the venture capital firm Movac. He co-founded the AI training company AI Supercharge and advises government agencies including MBIE and NZTE. He began his career as an organisational psychologist and change manager, so he came to AI through people rather than code.
Serge is also giving a free public talk the evening before, Thursday 29 October: Wake Up to AI: A Call to Arms for Nelson.
Nelson AI Sandbox provides AI education and information only. We do not provide professional advice. AI tools may produce inaccurate, biased or inappropriate outputs and may raise privacy, confidentiality, intellectual property, security and compliance risks. Users are responsible for assessing suitability and legality before using any AI tool, workflow or output. Liability is excluded to the maximum extent permitted by New Zealand law.