fieldcraft 46.7867° N · 92.1005° W

Public AI events / Open to the region

Learn AI with the room, not alone.

Get a clear AI 101, see what suddenly becomes possible, and make something in a room of fourteen curious people from across the region.

LearnPlayMakeMeet
See the night
Seat requests are open

The next event

Fieldcraft AI at The Columbia

Get a plain-English map of AI, watch two live demonstrations—one playful and one useful at work—then build something of your own beside the room. You will leave with a result, a repeatable method, and people to keep exploring with.

Why I am doing this / Kyle Dickinson

What if intelligence stopped being the scarce part?

I see more than a chat box. I see a patient teacher, a research desk, a creative studio, and an operating team that a small business could never have afforded.

I believe AI should not make us feel more replaceable. It should make people, small businesses, and local communities more capable.

I build and use these systems across Fieldcraft, The Columbia, and my own operating work. My MBA focused on IT project management—and my background across financial markets, retail operations, and small-business finance—helps me connect a surprising idea to something people can actually use.

Start with one good
question
  • Convene a research team
  • Prototype a tiny tool
  • Give a business a memory
  • Turn a voice note into a plan
  • Make an image or a world
  • Find the pattern no one noticed

Public-safe glimpse: the real systems stay private.

The night, minute by minute / 90 minutes

You will not spend the night watching someone else use AI.

We begin with a map, turn quickly toward possibility, then put the tools in your hands. By 7:30 you will have made something, learned a reusable way to work with AI, and met people worth exploring with.

By 7:30

  • A mapA plain-English way to understand what AI is doing
  • A methodFour moves you can reuse: ask, show, shape, check
  • A resultSomething made on your own screen—not a page of notes
  • A roomNames, ideas, and people to keep experimenting with
  1. The possibility wall opens

    Put one wild idea or stubborn task on the wall. Walk the room, meet someone, and see what fourteen people hope AI might make possible.

  2. The room comes alive

    A fast welcome, names without speeches, and a tour of the questions already clustering on the wall. You will know immediately that you are not the only beginner—or the only person hoping for more.

    10 min
  3. AI 101: the map underneath the magic

    In plain English: what these systems do, why they feel different now, where they surprise us, and four moves—ask, show, shape, check—that you will use before the night is over.

    20 min
  4. Two live doors: play and work

    Watch one playful idea become something visible and one messy business task find a shorter route. Then Kyle opens the hood just enough to show how a real AI system is assembled.

    15 min
  5. Choose your door and make

    Pick the playful idea or the stubborn task. Work in pairs, put the method to use, and make a first version on your own screen. No polishing. The surprise is part of it.

    20 min
  6. The rapid-fire gallery

    A fast show-and-tell of wins, strange misses, useful shortcuts, and the ideas nobody walked in with. Borrow one move from someone else.

    15 min
  7. Take the spark home

    Name the experiment you will try next, save the method, and leave with at least one person whose curiosity you want to keep following.

    10 min

The room is part of the curriculum

Come for AI. Leave with people to keep exploring it with.

Fourteen seats is intentional. You will know names, hear what other people hope to make possible, help someone get unstuck, and discover an idea you would not have reached alone.

  • 01
    No back row

    This is a table, not a stage. Everyone gets to ask, make, and contribute.

  • 02
    Learn sideways

    Pair work and show-and-tell make another person's discovery part of your own toolkit.

  • 03
    Curiosity over credentials

    Beginners and experimenters belong in the same room. Different starting points make the night better.

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