Questions, answered.
Everything most people want to know before joining Oklahoma City's hands-on AI community. Not answered here? hello@okcmetroaiclub.com
What is the OKC Metro AI Club?
The OKC Metro AI Club is a member-driven community for business professionals across Oklahoma City and the surrounding metro who want to get genuinely good at AI. Members learn by building real tools with AI, together, and document what they learn in a shared experiment log.
Who is the club for?
Business professionals in any industry, at any stage of a career. AI is reshaping every field, so the club is not just for engineers or the technically inclined — it is for anyone who wants to build real capability with AI and use it to solve the problems in front of them, at work, at home, or in a side venture. The one requirement: you are not afraid to experiment.
Do I need a technical background or know how to code?
No. This is not an engineering club, and the focus is not model internals or parameters. The skill we build is using AI well — knowing where it is strong, where it falls short, and how to turn it into real outcomes. It is also not a ChatGPT 101 club: members should be comfortable experimenting with AI tools.
Does it cost anything to join?
No — membership is free. The club shares the cost of AI tools across members, supported by sponsors and partners, so you can experiment freely without personal financial risk.
How do I join?
Fill out the short membership form with your background and what you want to build or learn, and agree to the Code of Conduct. There is no gatekeeping and no technical screening. After that, you receive a short onboarding doc that explains how the club works.
When and where does the club meet?
The club meets in person across the Oklahoma City metro on a monthly rhythm: Build Night, where we build a real tool end to end; Lunch & Learn, a focused session on one practical skill; and Show & Tell, where members demo what they shipped. The inaugural meeting is being scheduled now — founding members will be the first to know the date.
What do members actually build?
Working tools aimed at outcomes members care about — personal agents for calendar and task management, marketing tooling, and automations for the problems in front of them at work. Every session is hands-on, and every build ends up in the experiment log.
What is the experiment log?
A living, public record of what members build with AI: what they tried, what worked, what flopped, and the outcome it drove. It is how learning compounds across the club — and a portfolio each member can point to at work or in an interview.