Dutch platform for AI makers
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Where AI makers and the people looking for them find each other.

Making, improving or learning. Write in your own words what needs to happen, and see how makers approach your idea with AI.

How AI is changing work

For anyone who wants something made

Start with your goal. Who you need becomes clearer along the way.

Companies, organisations, entrepreneurs, founders and investors.

  1. Describe your goal

    What needs to happen, why, and what you want to achieve with it. In your own words.

  2. See what makers make and offer

    Real work and their own products, with what the maker did themselves.

  3. You choose

    Makers respond with how they would approach your question. You decide who you talk to next.

  4. Make clear agreements

    About budget, work, timing and delivery, before anything starts.

Post your question

During the pilot, posting a question is free and commits you to nothing.

For the Makers

Your work shows what you can do. You decide what to call it.

Builders, filmmakers, artists, designers and anyone getting to work with AI.

  1. Describe what you do

    In your own words. Your own title is welcome, with your own explanation.

  2. Show your work

    What you made, improved or taught others, and what your part was.

  3. Offer what you have

    A service, a tool or a product you came up with yourself.

  4. Respond to questions

    See why a question fits you and respond for free.

Join as a maker

Makers never pay.

building From idea to working software.

Makers design, let assistants write code and critically test the results themselves.

  • Made example

    Search help for an archive

    Built and tested with the people who use the archive.

  • Offered example

    An assistant for your own documents

    A service a maker offers directly, at a fixed price.

  • Wanted example

    An app for family carers

    why
    Planning now happens across separate small apps
    goal
    A first version to test with users
    I can make this

Where it's already happening

  • Dutch language models of our own. GPT-NL is running with its first government users; teams are building it into their own applications. Digitale Overheid (Dutch government)
  • Reading and writing text in business software. The most widely used kind of AI at Dutch companies, according to Statistics Netherlands (CBS). CBS

filming Directing images you create yourself.

Script, generated shots and editing by one maker or a small team, with real footage where it matters.

  • Made example

    Product film for a bicycle repair shop

    Script, images and editing by one maker, music by a colleague.

  • Offered example

    From storyboard to shot list

    A tool a maker built for their own use and now offers to others.

  • Wanted example

    A short film about our product

    why
    The launch is in the spring
    goal
    More pre-registrations through the website
    I can make this

Where it's already happening

  • Hybrid films. Dutch makers combine AI imagery with filmed material in films and documentaries. Nederlands Film Festival
  • Generative effects. Netflix used generative AI for an effects scene in El Eternauta. TechRadar

automating The work that keeps repeating.

A model reads and sorts, a person approves. The maker builds the flow and teaches the team to work with it.

  • Made example

    Quote intake for an installation company

    Requests are read and prepared, an employee approves.

  • Offered example

    Inbox sorter for small teams

    A service two makers offer together.

  • Wanted example

    Automate how we handle quotes

    why
    Quotes sit untouched for days
    goal
    A draft quote within an hour
    I can make this

Where it's already happening

  • Steering ads in plain language. Advertisers steer automatic variants with a brief written in Dutch. Adformatie
  • Recognising wear. Philips Drachten recognises wear on robots and calculates automation in a digital twin. Philips

inventing An idea you can hold in your hands.

Quickly from sketch to working prototype, with electronics, code and models.

  • Made example

    Talking plant pot

    Idea, electronics and speech model by one maker.

  • Offered example

    Two-week prototype sprint

    A fixed way of working that a maker offers.

  • Wanted example

    Make a working prototype of this idea

    why
    We want to show investors something
    goal
    A demo that really works
    I can make this

Where it's already happening

  • Seeing quality with cameras. Dutch manufacturers check products on the line with cameras and AI. Smart Industry

designing A hundred variants, and someone who picks what is right.

Makers explore widely with models and finish the best direction by hand.

  • Made example

    Campaign images for a bakery

    Art direction and post-production by the maker.

  • Offered example

    Social media variants in a day

    Every format from a single campaign, offered by a duo.

  • Wanted example

    Visuals for our new shop

    why
    The opening is in six weeks
    goal
    Recognisable on the street and online
    I can make this

Where it's already happening

  • Campaigns with generative imagery. An Amsterdam agency made a Panasonic campaign with generative AI. Adformatie
  • AI imagery with post-production. AI images for Rivella and Make-A-Wish, among others, then finished by people. Nederlands Film Festival

researching Getting through a mountain of information faster.

Models read, measure and summarise; the maker checks the work and draws the conclusions.

  • Made example

    Customer conversations examined

    Interviews analysed, conclusions backed up with quotes.

  • Offered example

    Quick market scan

    A fixed service with a list of sources.

  • Wanted example

    What do customers think of our subscription?

    why
    We are unsure about the price
    goal
    A decision before the summer
    I can make this

Where it's already happening

  • Predicting breakdowns. Tata Steel Nederland predicts breakdowns from machine data. Siemens

composing Sound, voice and music made to measure.

Makers combine their own playing with generated layers; voices only with consent.

  • Made example

    Music for a product film

    Composition and mix by the maker.

  • Offered example

    A signature sound for your brand

    A short, recognisable sound, offered at a fixed price.

  • Wanted example

    A podcast intro

    why
    We are starting a podcast
    goal
    Recognisable within the first few seconds
    I can make this

making art Work that talks back.

Installations, images and performances with models, within the limits the artist sets.

  • Made example

    A painting that answers questions

    An installation, made with a curator.

  • Offered example

    Rent an interactive installation

    Offered by the artist, including setup.

  • Wanted example

    Let visitors talk to a painting

    why
    A temporary exhibition
    goal
    Visitors spend longer with the work
    I can make this

Where it's already happening

  • The Night Watch complete. The Rijksmuseum reconstructed the cut-off parts using neural networks. Rijksmuseum
  • Painting after the algorithm. Pixel Pioneers shows work painted by hand from generated images. Boijmans

improving Making what already exists work better.

Makers use AI to look at an existing product, process or piece of work and make it faster, smarter or better looking, together with the people who use it.

  • Made example

    Customer service that answers faster

    Existing answers reviewed and an assistant built for the team.

  • Offered example

    A week looking over your process

    A maker looks at where AI really helps and where it does not.

  • Wanted example

    Improve our intake process

    why
    New customers wait too long
    goal
    A first conversation within a day
    I can make this

learning Learning to work with AI yourself, or teaching others.

Makers run workshops, coach teams and learn by doing. People who are just starting out belong here too.

  • Made example

    Image-making workshop for an editorial team

    An afternoon of practice with their own material, with agreements on what is and is not acceptable.

  • Offered example

    Guidance on your first AI project

    A maker looks over your shoulder for a few weeks while you do the work yourself.

  • Wanted example

    Teach our team to work with AI

    why
    Everyone is trying things, but nobody knows what works
    goal
    Shared agreements and a few set ways of working
    I can make this

The examples show what the work can look like; they are not real assignments or makers. The applications under "Where it's already happening" are real, with a source.

Manifesto

No certificates. Work, effort and experience.

No job title lists. Verbs, ideas, goals.

Makers never pay.

Read the manifesto