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In-company training for teams working with agentic AI
Train your company
to operate agentic AI.
We train teams to use agentic AI in their actual work. The judgment, the habits, and the mental model that survive the next model release.
In-company training on your workflows, your documents, your edge cases, and the judgment your team needs as the environment keeps changing.
Mental model How to read a tool's claims against what it actually does.
Live context Train on the work, not on generic demos.
Adaptation Habits that survive the next model release.
"Intelligence is the ability to adapt to change." — Stephen Hawking
Three short questions. The first reply is already useful.
// Proof
11 delivered · 6 running
Applied across: agent workflows · RAG · CAD parsing · ERP prediction · Trained: context engineering · industrial AI
Public artifact: Prosus training deck
// the training is what we sell. the delivery work is why.
// What we mean by context
Three families. Every token in a forward pass is one of them. The training is what teaches a team to recognise which — and to design with that distinction in front of them.
deterministic
// path fixed
CLAUDE.md · rules · hooks · auto-memory · loops
probabilistic
// output contingent
subagents · retrieval · MCPs · skills · observers
human
// shaped by you
chat turns · slash commands · reframes
"Knowledge is not what you know — it is knowing where to find it." — Prosus AI House keynote, April 2026
// Who runs this
Twenty years running operations under load. Three years shipping production AI. The training is what the second taught the first.
Fausto Albers — Lead GenAI R&D at the Industrial Digital Twins Lab (HvA) under prof. Jurjen Helmus, founder of WonderWhy.ai / Step into Liquid B.V., and co-founder of the AI Builders Club.
Sociology at the University of Amsterdam (2001-2004), then twenty years of building and running hospitality operations: Barplanet (2007-2015) — the first cocktail and flair-bartender event company in the Netherlands, scaled to a million-euro run rate before selling shares to a co-founder; New York Deli in Haarlem alongside it; and the Louisiana Lobstershack (2015-2024), a landmark venue with €900K of revenue in its opening year, a team of eighteen, and a research line on tasting panels and the semantic shaping of flavour perception.
Co-founded the AI Builders Club in spring 2023 — now over a thousand engineers and founders running monthly meetups across Amsterdam, Berlin, Rotterdam, London, Lisbon, and Miami, with guests including Harrison Chase (LangChain), Bob van Luijt (Weaviate), Mathias Christensen (Netlify), and Nicholas Patry (Hugging Face). Step into Liquid B.V. partners with the HvA Industrial Digital Twins Lab — the practice line that pays the theory line and back.
The training is built on delivery work: Newton for service teams, RAG inside ISO 27001 environments, vision-language pilots in steel and piping, ERP-grade prediction, the conversational AI we built for the CTBTO at the Hofburg in Vienna. Long reads at wonderwhy.ai. The teams we train face the same questions we faced building it.
// Twenty years operating. Three years shipping AI. The two reinforce.
// How the engagement works
- 01
Map the current reality
We start with how your team already works, decides, and hands off.
Better judgment in the work that already runs the business.
- 02
Train on live workflows
Use your documents, tasks, edge cases, and constraints.
Documents you already share. Tasks you already track. Decisions you already make.
- 03
Build operating habits
Prompting is not the product. Review, judgment, and adaptation are.
Prompting is a skill. Review and judgment are the operating model.
- 04
Leave the team stronger
Internal capability, not dependence on us.
When we leave, the team runs better without us.
Tell us what your team does today, where AI is already showing up, and where the friction is.
We'll come back with a concrete read on whether training fits — and what it would change.