Format — 04
Workshops.
Practice over prescription. In-organisation training, tailored to teams already using AI.
For
B2B · On request
Where
Your office, ours, or online
Duration
½ day online · 1–2 days in-person
Three ways to run it.
The format scales with the commitment. The loop — input, practice, share, direction — stays the same.
Half day · Online
A focused intro.
For distributed teams, or when you want to test the model of input + hands-on before committing more time. A tighter loop, two tracks instead of four.
3–4 hours · remote
One day · In-person
A pilot day.
Low-risk first step. Input and hands-on in 50/50 split across four tracks — orient, direct, validate, embed. Designed to validate fit before any larger commitment.
Full day · on-site
Two days · In-person
Pilot to practice.
Same loop, deeper. Day one builds the foundation; day two cements the team-specific playbook, integrates AI into your way of working, and ships working outputs.
Two days · on-site
Your trainers.
Two trainers running every workshop together — on the screen or in the room with your team.
Jacob Langvad Nilsson
Co-founder, Applied Futures
Claude Community Ambassador
Hosts the Copenhagen Claude Coders Community and writes on agentic engineering. Brings live, hands-on Claude Code patterns from recent talks (IDA Driving AI 2026, Code w/ Claude London 2026) and embedded engagements with B2B teams.
Camilla Roesgaard Hansen
Co-founder, Applied Futures
Senior Product Manager
9+ years shipping digital products from startup to enterprise, B2B and B2C. Strong facilitator who builds high-performing team cultures. Brings the human-centred product lens to the workshops. Hyper Island alumna.
+ a domain expert per workshop
Backed by a community network.
Every workshop pulls in a guest trainer from our Copenhagen community network — someone whose day job is the function you’re training (legal, marketing, product, ML ops, biotech, and beyond). Their hands-on examples sit alongside Jacob’s and Camilla’s, so the work the team practices matches how their domain actually uses Claude.
How a workshop runs.
Not a lecture, not a course. A series of short loops — new knowledge, then practice, then result, then adjust. Together.
01 Input
Experts set the scene.
Short, concrete talks from practitioners. What works in your context, and where it breaks.
02 Practice
You try it yourself.
Hands-on with the tools on your own scenarios — specs, planning prep, validation, briefs.
03 Share
We surface what we found.
Short plenary demos turn individual discoveries into shared team knowledge.
04 Direction
You take something home.
Concrete outputs and a shared language. A clear starting point for Monday morning.
Principle
No input without practice. No practice without output.
What you take home.
Concrete outcomes, not slides. Five things the team leaves with.
01 Prompt library
Role-specific prompts.
Tested in the room. Feature briefs, planning prep, acceptance criteria, stakeholder updates.
02 Framework
A repeatable approach.
A defined way of working, ready for the team to reuse. AI executes on intent, not interpretation.
03 Validation
A playbook for quality.
How to review, challenge and iterate on AI output. Quality control as a team competency.
04 Shared language
Same mental model.
Same vocabulary and baseline — so the team builds on it together, not in silos.
05 Next steps
Clear commitments.
Written down, shared in the room. A foundation that holds past the day itself.
Who it's for.
Teams figuring out how to organise themselves around the new AI tools — and how to get the most out of them. Product, engineering, design, operations, marketing, communications. The function doesn't matter; the situation does.
Cohorts of 10–20. Every workshop is tailored to your team's context: your tools, your workflows, your scenarios. We don't teach generic AI theory — we build real outputs with your team.
Lead time is typically 4–6 weeks from inquiry to delivery. We confirm fit on a 30-minute discovery call before anything is scheduled.