"Think Gryffindor common room meets Y Combinator office hours — where the whiteboard is a terminal and the homework runs in production."
HAC is where business students build real AI systems — multi-agent pipelines, retrieval-augmented apps, and production automations — alongside peers who refuse to wait for permission to start.
The Three Laws
Three laws govern this house.
You'll hear them at every session. They're non-negotiable.
-
I
First Law
A member may not defer judgment to a machine, or through laziness, allow their decision-making to atrophy.
-
II
Second Law
A member may employ AI as a tool — except where such use would violate the First Law.
-
III
Third Law
A member must pursue fun, human connection, and meaningful work — except where this conflicts with the First or Second Law.
Ship Real Systems, Not Slide Decks
What you'll build
Multi-Agent Systems
Orchestrate AI teams that research, write, code-review, and coordinate autonomously — no prompt babysitting.
Automation Workflows
Compress 3-hour manual tasks into 10-minute pipelines. Data ingestion, report generation, web scraping — automated end-to-end.
RAG Applications
Build AI that actually knows your business context — grounded in your company docs, research papers, and proprietary datasets.
How it works
-
1
Monthly Workshops
2-hour deep-dive build sessions. You walk in with a blank repo and walk out with a working prototype. Every time.
-
2
Co-Working Evenings
Bi-weekly drop-ins for builders who don't need structure — just proximity to other people pushing code. Bring your laptop, stay all night.
-
3
Common Room Culture
Music. Espresso. A space optimised for deep focus and reckless experimentation. HAC is the room you go to when you want to build something real.
-
4
Trial Board Model
Start as a trial contributor. Ship tasks for 2 weeks. Earn your board seat through execution, not politics.
Who this is for
You'll thrive here if…
- You want to automate workflows, not just theorise about AI strategy
- You learn by building (and you're not afraid of breaking things in the process)
- You need portfolio-grade deployed projects for internships, co-founding, or jobs
- You're drawn to devrel, AI implementation, technical PM, or operator roles
Probably not for you if…
- You want passive learning — lectures, panels, and pitch decks
- You're collecting club logos for your CV without shipping anything
- You expect hand-holding through every line of code