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COME AND BUILD
Every other Tuesday, a few of us get together in Singapore and work on whatever we're actually building. Partway through, someone puts their work up and the rest of us dig into it. That's the whole thing, and membership starts there.
The AI Guildhall
Two hours. Bring whatever you're working on - real work, not an exercise. Halfway through, one person shows something unfinished and we all have a proper go at it.
WHAT HAPPENS
- Everyone says in a sentence what they're working on. No name-badge round.
- Then we all just get on with our own work, in the same room.
- One person shares theirs. We ask the useful questions: what are you trying to do, why this way, where might it break, how would you know if it was wrong.
- Afterwards we usually go for a drink and talk about something else.
WHAT IT IS NOT
- Not a course. Nobody teaches you. You bring the problem.
- Not a meetup. You don't come to network. You come to work.
- Not consultancy. Nobody does it for you.
Free · we just ask you to apply first
Who it's for: you're building something and you'd like honest feedback from people outside your own company. It works best if you know a field well - law, finance, medicine, engineering, operations - and you're figuring out what AI does to it. Years of experience count for a lot here. You don't need to be technical, but you do need to be building something.
Where it runs: Kingston International College, Singapore.
What membership is
One community, four levels. You start free, and you can stay free for as long as that suits you - nothing expires and we won't nag you to upgrade.
Free
The fortnightly session and the people in it. It's genuinely free, not a trial - plenty of members never need anything beyond this.
YOU GET
- The room, every other Tuesday
- Honest feedback from people at other companies
- Whatever we write up along the way
WHAT IT COSTS
- Nothing
- Just fill in the form first
- Bring something you're working on
The tiers above
Paid membership opens in January. It covers the things that build up over time - the archive of work people have shared, a portfolio that follows you, smaller peer groups, and eventually the practitioner assessments.
Paying never affects assessment. You can be a member and not pass; you can pass without being a member at all. We keep those two entirely separate.
Join as an Explorer now - that's where everyone starts.
The one-day intensives
Separate from the room, and paid. Run as cohorts a few times a year rather than on a schedule.
AI Consulting
Scope agentic work that organisations keep using and can measure - the bridge between what the business needs and what the product does.
WHAT YOU LEARN
- Interview a practitioner and find where the judgment really sits
- Decompose a workflow: what an agent owns, what stays human
- Design and validate an agentic workflow end to end
- Size it with numbers that survive being questioned
WHAT IT GETS YOU
- Agentic work that moves numbers the business cares about
- Workflows teams still use months later, not pilots that die
- Less patching - it keeps running after you hand it over
- You become the interface between business and product
$1,200 · 20 seats only · scholarships available
Prerequisites: you own or shape AI work - product owners, consultants, transformation leads. Not an introduction to AI.
Agentic Building
Build agentic AI that holds up in production and pays for itself - instead of workflows you spend every week patching.
WHAT YOU LEARN
- Read an unfamiliar, messy codebase and locate the change
- Build an agentic workflow on a real system, not a tutorial
- Put logic in code, the model only where judgment is needed
- Gate anything the agent cannot undo
WHAT IT GETS YOU
- Workflows that hold up without constant babysitting
- Stop rebuilding - the fix is architecture, not more prompting
- Ship something that survives production, not a demo
- Be the engineer who can actually deliver this
$1,200 · 20 seats only · scholarships available
Prerequisites: you should already know some AI or software. Engineers and career-changers welcome.
Why it exists
In a controlled study, doctors were given AI advice that was confident and wrong. Their accuracy got worse. The most experienced clinicians fell the hardest - because years had taught them that a well-articulated claim in their field is usually correct. They had everything they needed to catch the error. They just did not engage it.
That is the whole problem. Not that AI is too clever. That we stop asking.
Why it is harder than it looks
Building an agent that actually works is a multi-disciplinary job. You need design thinking, to work out what the process should even be. Psychology and UX, because you are modelling how someone really works, not how they describe it. Software engineering, because it has to hold up when nobody is watching. And enough understanding of how the model works to know where it will drift.
Most people are strong in one or two. That gap is why so many agent projects quietly die - not because the demo failed, but because the thing needed patching every week until someone shelved it.
The aim is helping people get there, if they can. I will give you everything I have on the day and for the two weeks after. Whether it lands is partly on you, and I would rather say that now than sell you a certificate. Either way you will leave knowing something real about how these tools work and where they will burn you.
Apply for membership
Places are limited and I read every one of these myself. If it is a fit I will send you the brief with the two setup steps.