Wiki3: Own Your Own AI Workshop

Wiki3 AI Owners Group — Inaugural Meetup
Free · Hybrid · In-Person at Hacker Dojo + Online

This is a hands-on workshop where you'll learn to run AI models on your own computer—no cloud, no subscriptions, and your data never leaves your machine. We'll focus on practical tools you can install and use today, with live demos, guided installations, and time to experiment with your own projects.

The Wiki3 AI Owners Group is for people who want to own their AI tools. This first session covers local-first AI basics and gets you up and running with Jan.ai, a privacy-first ChatGPT alternative, plus an introduction to building custom AI workflows with your own documents and data.

Agenda (2.5 hours)
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Quick Jan.ai examples
— See what's possible with local AI right out of the box

What, Why, How: Local-First AI
— Why running models locally matters for privacy, cost, and control -

Open Source & Freedom
— Why OSS and "free as in freedom" are essential to owning your AI

Jan.ai Demo
— Live walkthrough of features, models, and real-world usage

Installation Walkthroughs
- Mac setup
- Windows setup

Using Jan Skills
— Extend Jan with web search and research capabilities

MCP Servers and Tools
— Introduction to the Model Context Protocol for connecting AI to your apps and data

Q&A
— Your questions answered

Practice/Problem-Solving Time
— Bring a task or use case you want to tackle; we'll work through it together.

Member Demos
— Share what you built or learned during the session (optional)

Review & Feedback
— What should we cover next? What could be improved?
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What to Bring
A laptop (Mac or Windows) if you want to install and experiment during the session. No prior setup required — we'll do everything together. Also not required, just bring your curiosity!

Who Should Attend
Anyone interested in running AI privately on their own hardware. Educators, developers, researchers, students, and curious technologists welcome. No AI experience required.

Registration
Space is limited for in-person attendance at Hacker Dojo. Online attendees welcome via livestream (link provided after registration).