I'm Connor.

Educator, builder, consultant, and nerd.

I help organizations figure out where AI fits and where good training makes the difference. I've spent 6 years in the classroom and 8+ years in EdTech and consulting, building curriculum, running workshops, and figuring out how to make complex ideas stick for people who don't have time for bad training.

I led curriculum at America Needs You, where the programming I built still reaches 1,000+ first-generation college students across 70+ schools every year. I've designed learning experiences for Ramp, Snapchat, Niantic, and IMG/Endeavor. At Reddy, I was part-time Director of Learning, building AI-powered call simulations for Fortune 100 companies while running CBK Learning on the other side.

I now run CBK Learning. On the AI side, I help teams move past the demo stage into actual adoption. On the learning design side, I capture your team's expertise and turn it into training people remember.

I've been a daily AI user since ChatGPT 3.5 dropped in November 2022. Not because I'm an AI hype guy, but because I'm a design-thinking nerd who wants to understand what these tools can do and where they fall short.

In the last year, I also started building software. I wrote 400,000+ lines of code at Reddy. I built a data pipeline that turns D&D game sessions into AI-generated animated films. I hand-built this website. I'm not a software engineer. I'm an educator who learned to code because the things I wanted to build didn't exist yet.

When I'm not building curriculum or running AI workshops, I'm designing Dungeons & Dragons campaigns for my friends.

I believe art, data, games, and beauty can teach us things we could not otherwise learn, which drives all the work that I do.

Connor Koblinski Connor on camera

What I do

Technology changes. Learning doesn't. I help organizations tell the difference.

Who I've worked with

Snapchat Google Ramp Niantic Solana IMG / Endeavor NYC Dept. of Education

My approach

Three rules I work by.

I've been researching and experimenting with AI since day one. These are the principles I've landed on — for myself and for the teams I work with.

01

AI should expand your skill set, not just speed things up.

If all AI does is make you faster at the same work, you're leaving the best part on the table. I help teams do things they couldn't do before — not just do the same things quicker.

02

You need to co-work with AI by trusting it at the right times.

AI makes it easy to automate decisions without questioning them. Same data, same defaults, same blind spots — scaled across your whole organization. I teach teams when to trust their tools, when to push back, and how to tell the difference.

03

Your experts should be in the driver's seat, not someone else's algorithm.

AI companies build for thousands of customers — not for your team, your values, or your objectives. If you just go along with the defaults, you're leaving real gains on the floor and outsourcing your judgment to people who've never met your people. I help your team build their own frameworks so the people who know your work best are the ones shaping how AI fits into it.

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