01
In development
Handwerk AI Basics
Introductory sessions for seeing what AI can do, where it needs checking, and how to make a first useful artifact.
Learn by making
AI is a material.
Let’s work with it.
Handwerk AI is hands-on practice for turning AI from a chat window into useful work, home, and personal projects.
the umbrellaHandwerk
AI
01Basics
02Projects
03WorkplaceAI
Programs 04Personal 05Library one practical
ecosystem
01 / The idea
Less “learn AI.”
More, make a thing.
The best way to understand a new tool is to use it on a problem that matters to you. We bring a practical, careful approach to the whole loop: choosing a useful task, building a first version, checking what came back, and improving it.
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Good work leaves an artifact behind.
02 / Choose a path
Start where the work is.
Different people bring different questions. The practice adjusts to the room.
01
For individuals
02Join a class
Build confidence with a concrete, approachable project.
Explore Basics ↗For communities
03Bring a group
Give a library, club, or circle a shared project to work on.
Explore group learning ↗For organizations
Train a team
Help people connect AI practice to the work they already do.
Explore workplace programs ↗03 / The ecosystem
Many ways to practice.
One connected approach.
These are the working families of Handwerk AI. The site is in development, and each one will take shape through real teaching and use.
02
In development
Handwerk AI Projects
Deeper workshops built around decisions, source-linked documents, family history, reusable assistants, and supervised workflows.
03
Coming later
Workplace Programs
Practical team learning that connects AI literacy to shared work, good judgment, and the boundaries that matter.
04
Exploratory
Handwerk AI Personal
Individual setup and implementation help for a personal system, project, or recurring task.
04 / The method
A little more
workshop,
a lot less magic.
PACT is the working loop behind classes, projects, personal systems, and future connected workflows.
the loopPACT
01Planname the job
02Actmake a first pass
03Checklook for what’s wrong
04Tunemake it more useful
05 / What practice can make
Useful things,
not just useful talk.
Examples below are adapted from draft course and use-case material in the AI_Courses repository. They are illustrative, not promises of a finished offering.
A decision dashboard
Compare alternatives, make assumptions visible, and keep a check log.
JANFEBMAR
A bills report
Turn a pile of documents into a traceable, reusable analysis.
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A family explorer
Build, test, and package a simple thing someone can reopen and use.
06 / Bring a group
A shared question
is a good start.
A library, club, neighborhood group, or circle of friends can learn well together when there is a concrete thing to make. Group programming is being developed around the room, the time available, and the questions people bring.
Coming later“
What would be more useful if you could see the source, test the result, and change the instructions?
A question to bring to a group session07 / Library
Keep the good bits
close at hand.
A growing shelf of examples, explainers, and reusable resources. The public library will open as materials are ready to stand on their own.
How to check an AI answer
A practical checklist for sources, assumptions, and uncertainty.
↗From question to artifact
A look at the small decisions behind a useful first version.
↗PACT in practice
Working notes from teaching, building, checking, and tuning.
↗08 / About Handwerk AI
Practical AI
with both feet on the ground.
Handwerk is an old word for skilled, practical work: learning by doing, caring about the material, and leaving something better than you found it.
Handwerk AI is a working project. Offerings, examples, and language will sharpen through real sessions and real artifacts.
✳ This is a private review draft. No enrollment or public launch is available here.