Who it's for
Who it's for
Let’s Build AI is for teams ready to move from planning into building.
You’ll get the most out of it if you:
- Have an AI idea in mind, even a rough one
- Understand the problem you’re trying to solve
- Can bring both business and technical perspectives to the table
- Have backing from your organisation to take part
- Can commit a couple of hours between sessions to keep the project moving
- Prior AI training or experience is a bonus, not a requirement.
Before you apply
Come with as much of this as you can – we’ll help you fill in the gaps:
- An AI idea you’d like to explore, even if it’s not fully scoped yet
- Some initial thinking on the business case, however early-stage
- A sense of what data you have (or might need) to work with
- Backing from your organisation to give this some time
- Willingness to put in a couple of hours’ build work every fortnight
- Don’t worry if it’s not all fully formed. Session one is designed to help you test, refine, and sharpen your idea together, not to expect a finished proposal on day one.
Details
How it works
Let’s Build AI includes six two-hour evening sessions, held every two weeks at Digital Jersey.
Each session follows a practical build-and-unblock format. Facilitators work directly with teams to resolve technical issues, challenge assumptions and guide key decisions.
Supported technologies include:
- Claude Code
- Cursor
- VS Code
- Jupyter
- GitHub
- Hugging Face
- PyTorch
- Standard Python data and machine learning libraries
Using something else? Speak to us when applying.
The six sessions (suggest cards or numbered blocks):
Session 1:
Project Kick-off & Blueprint
Come along with your idea, even a rough one, and we’ll work through it together. We’ll help you shape the scope, sanity-check your assumptions, and figure out what’s feasible. You’ll leave with a clear project blueprint and a sense of the tools you’ll use.
Session 2:
Tooling Setup & Hello World
Set up the accounts, APIs, connections and environments needed for your project. You leave with a working development environment, an initial workflow and finalised requirements.
Session 3:
Prototype v1.0
Build the core journey of your solution, with facilitators helping to resolve technical issues and guide architecture decisions. You leave with a thin vertical slice working from end to end.
Session 4:
Production Readiness & Governance
Test your prototype against data policies, human oversight, access controls, security and relevant JFSC and JCRA considerations. You leave with a Risk and Governance Canvas and a practical deployment plan.
Session 5:
Agents, Memory & Iteration
Where appropriate, add agentic capabilities, logging, feedback loops, observability and governance guardrails. You leave with an improved Prototype v1.5, including error handling and feedback mechanisms.
Session 6:
Showcase & Handoff
Present your final prototype to a panel and receive peer feedback. You leave with an adoption plan and a 90-day commitment to continue progressing the project.
Meet the facilitators
Two facilitators in the room at every session. Between them, they cover the full stack: tooling and infrastructure on one side, machine learning and data strategy on the other.
GetInference – Vincent focuses on AI tooling, infrastructure, and deployment. He helps teams cut through the noise of the modern AI stack and make pragmatic choices about what to build with, where to host, and how to ship something that actually runs in production.
Malcolm Mason is a Cloud and Data Consultant and founder of the Jersey AI Forum, with over 12 years’ experience in AI model creation and fine tuning. He holds an MSc in IT and is a certified Azure Data Scientist Associate, specialising in unsupervised, supervised, self-supervised and reinforcement learning. He has delivered educational workshops and knowledge-based content and, in collaboration with Digital Jersey, delivered Jersey’s first AI deep learning education programme over eight years ago and more recently collaborated to deliver the island’s first AI Hackathon. He has represented Jersey internationally, contributing for two years to the ITU-T AI for Environmental Efficiency programme through whitepaper authorship, collaboration, and presentations at ITU AI4EE seminars across Europe.
Timeline
July 2026
19th August 2026
August 2026
9th September 2026
9th September to 21st October 2026 Wednesdays, 6pm to 8pm
21st October
What you'll walk away with
- A working AI prototype
- An adoption plan
- A 90-day ownership commitment
- Practical guidance on tooling, infrastructure, machine learning and data strategy
- Support with governance and production readiness