If it's AI, we teach it.
we teach it.

AI is moving faster than most people know what to do with. That's the part everyone keeps skipping.

The problem isn't that people haven't heard of AI. The problem is that most people still have no real structure for learning it, testing it, and using it for the work they already do every day.

That's why I built Tendril.

Walk into any room and ask people how they're learning AI.

You'll hear the same three answers.

"I watch YouTube videos." "I follow some people on LinkedIn." "I mess around with ChatGPT sometimes."

That's not a curriculum. That's a hobby.

It's also the reason most teams are still stuck at "we use AI" without being able to point at a single workflow that got materially better because of it.

Meanwhile the tech is compounding weekly. New models. New tools. Whole new categories — agents, MCP, computer use, structured outputs, real-time voice.

If your only learning loop is "I'll figure it out when it comes up," you're already behind. And the gap is widening.

Kids feel this even more sharply. They're growing up in an AI-first world, and the school system hasn't caught up. Half the conversations I hear from parents are some version of "I don't know whether to let them use it or not."

That's not a policy choice. That's a literacy problem.

Every lesson is short. Practical. Tied to something you can run.

Not a 90-minute lecture about transformer architecture.

A 28-minute walkthrough of why agents fail and how to notice. A 30-minute breakdown of the four ingredients of any agent: goal, tools, loop, stop. A 10-minute guide to brand voice — sounding like you on purpose.

Read. Do. Reflect. Move on.

Here's something that kept bugging me personally.

There is no single place that just tells you what every model actually is, what it's good at, and what it costs.

So Tendril has one. 35 families. 161 variants. Each one written like a working reference, not a press release.

Pick up to four. Drop them on a battle card. Decide based on actual numbers.

If you've ever sat in a meeting and watched someone confidently say "we should use [model]" with zero basis for the choice — this is for them.

For partners, integrators, and resellers — customers are tired of vendors saying "we use AI."

What they need is someone who can help them understand where AI fits, where it doesn't, and how to start using it without turning the whole thing into a science project.

That's the opportunity:

The next generation is going to grow up in an AI-first world.

They're not going to need a vague intro to AI. They're going to need real literacy.

They need to know how to use these tools, how to think with them, how to question them, and how to build with them.

That starts with structure.

Tendril is my attempt to help people get the reps in now — whether they're in the channel, in a classroom, in a library, starting a career, or just trying to keep up with the tech that's already changing their job.

The bones are there.

1,700+ lessons. 35 model families. 100+ careers. A working sandbox. Side-by-side compare.

I'm tightening the UX/UI now, and shipping new lessons every week.

AI is not slowing down.

So the learning cannot either.