Creative Technologist · Product Architect

I see opportunitiesI build them

I connect strategy, design, technology and human control into digital products and AI systems that organizations can understand, test and use.

12 working Live Labs 22 public cases End to end from question to live system
Opportunity field / select a route01 / 04 · 12 Labs
4 selected systems12 live interactionsFrom question to evidence

Direct evidence

From demand to system

Live
12 operable Labs
Evidence
22 public cases
Connection
4 construction disciplines
Route
1 end-to-end approach

What I'm building today

Four Live Labs

No static mock-ups, but working proofs in which you can change input, go through routes and assess boundaries.

Stradviso Decision Studiowith the real decision interface, human confirmation and Build Week presentation.
AI & besluitvormingWorking proof

Stradviso Decision Studio

Problem
AI advice is difficult to trust without a source, boundary and owner.
Built
A decision route with audit trail, uncertainty and human approval.
Try
Walk through a monitored AI decision and determine the agreement yourself.

Product architecture · Responses API · human-in-the-loop · governance

NEXUScombines air freight with the real route and planning interface.
Operations & logistiekWorking proof

NEXUS

Problem
Shipments, documents and deviations become spread across systems.
Built
An understandable freight intelligence route for customer and operation.
Try
Build a shipment and track evidence, events, and release.

Workflow engine · document AI · event simulation · service UX

AVENLOinterface for four bounded real-time voice agents.
Voice & interactieWorking proof

AVENLO

Problem
Voice AI must act in a remarkable and operationally limited manner.
Built
Celebrate brand worlds with real-time conversations and controlled actions.
Try
Call an agent and experience voice, context and function calling.

WebRTC · real-time voice · function calling · brand architecture

MISEshows the real model backtest, forecasting curve, table operation and the manager dashboard.
Hospitality intelligenceWorking proof

MISE

Problem
Reservations, weather, tables and staff are often assessed separately.
Built
A controllable day director with scenarios, backtest and manager agreement.
Try
Play through a catering day and see how choices change the operation.

Forecasting · operational data · scenario engine · human control

The pattern behind the work

One construction pattern

The technology changes. The core remains: understanding people and context, structuring complexity, connecting form and technology and making an idea demonstrable.

01

Understanding people and context

Community building made visible how trust, rhythm and behavior together form a system.

Hollands GlorieAVENLO
02

Reducing complexity

Expertise and coaching grew into knowledge routes that others can follow independently.

Battlefield P4FNEXUS
03

Connecting form and technology

Hospitality learned that brand, space, operation and guest journey only convince together.

Phoenix GardenMISE

The bridge

Same approach

I have been connecting people, information, form and execution all my life. First in communities, hospitality, commercial environments and digital worlds. Today I use that same thinking to build AI products, operational workflows, and interactive systems.

Historical foundations

Work that shaped me

Not as an old portfolio next to the new, but as proof of where platform thinking, knowledge transfer and operational product development come from.

From demand to live system

Six clear steps

Businesslike enough to make decisions, concrete enough to build and visible enough to test.

  1. 01

    Context

    I make question, user, environment and limitation explicit.

    Stradviso· decision question
  2. 02

    Dates

    I determine which sources are usable, traceable and permitted.

    MISE· reservation + weather
  3. 03

    Logic

    I translate exceptions, rules and uncertainty into a system route.

    NEXUS· shipment events
  4. 04

    Interface

    I design the action that makes the complex system understandable.

    HoiJob· matchflow
  5. 05

    Control

    I give boundaries, evidence and human agreement a visible place.

    Stradviso· approval gate
  6. 06

    Live

    I build, test and present a proof that others can operate themselves.

    12 Live Labs

Business context

Real questions

The Labs are not separate from practice. They build on experience with market introduction, logistics customer journeys, hospitality operations, entrepreneurship, sales context and product feedback.

View experience and profile
Market

AI adoption and go-to-market

From work question and pilot feedback to an understandable route for customer and decision maker.

IttesAI Nederland→
Operation

Logistics and shipping

Sales, service, documents and international shipments read as one customer and workflow question.

NEXUS→
Guest

Hospitality and entrepreneurship

Brand experience, team, capacity and execution brought together around the real guest journey.

Phoenix Garden →
Product

Feedback and validation

Don't just present what seems nice, but make visible what works, is uncertain or requires another test.

Live Labs →

Personal positioning

Between idea and execution

I am at my strongest when an issue does not yet have a clear form, multiple disciplines move at the same time and ultimately there has to be something that is not only convincing, but also really works.

Read my story

Next step

Building something together

I like to think about AI products, operational workflows, digital experiences and concepts in which strategy, design and technology must come together.