What You’ll Learn
Anthropic just released a new AI model called Mythos, and the public preview of it called Fable. You’ll hear a lot of noise about benchmarks and coding scores. Ignore most of it.
If you teach, coach, or build courses, there’s one part that actually matters: a new visual engine. In this tutorial you’ll learn the four shifts that change how you create teaching material, why text-heavy courses are now a weak way to teach, and the one move to make this week.
“I don’t care about coding. I just want to create better educational material. I want to teach and I want agents to do the rest.”
Why Text-Heavy Courses Are Dead Material
AI has always been great at one thing: text. It will write you a course faster than you can read it. Walls of text, a few tables, maybe a chart.
But text is a poor way to teach. It’s static. It’s often out of date before it’s even published. And a slide with a talking head isn’t much better — people zone out because nothing on screen asks them to do anything.
The new model changes this because it can finally create real visual assets, not rough flowcharts you’d be embarrassed to show. That’s the shift teachers need to notice.
Shift 1: It Can Read Your Visuals
Anything you can take a picture of is now usable input. A whiteboard. A blackboard. A sketch on a napkin. An old PDF. A slide you made three years ago.
In the past, AI tried to convert your image into text and lost the meaning. Now the context lives in the image itself. So the material you already have lying around becomes teaching input — no retyping.
💡 In Plain English: snap a photo of your messy whiteboard and the AI understands what you drew, not just the words on it.
Shift 2: Visual Assets Are Built as Code
This is the big one. When the model makes a visual now, there’s code underneath it. That means it isn’t a flat, frozen image.
It’s a living asset. You can change it anytime. You can embed it anywhere that accepts a little HTML. And it can be interactive. A few examples you can spin up on the fly:
- Diagrams — a pricing ladder, a process map, a framework, drawn instantly to match your lesson.
- Interactive pages — quizzes and check-your-understanding moments built right into the content, no separate quiz app.
- Simulations — instead of describing how something works, let learners change inputs and watch the result.
- Live charts — a static chart is obsolete next week. A live chart shows what’s actually happening now.
“When you publish a static chart, that chart is obsolete next week. What if you had live charts that showed what’s actually going on?”
✓ Check Your Work: think of one text-heavy lesson you teach. Could a diagram, a calculator, or a simulation carry the idea better than the paragraph does?
Shift 3: Long Sessions Run Whole Workflows
When most of us started with AI, it was prompt, response, prompt, response. You asked for an output, then you did all the work of moving it somewhere.
Now the model can run long chained tasks — playbooks and workflows that take hours, not seconds. Inside a Campus AI OS, “create a course and publish it” can mean the course materials, the images, the landing page, the sales page, the cart, the social posts, and the community posts all get made in sequence.
That’s the shift from a tool you operate to a team that does the work.
Shift 4: Better Memory
Long workflows only work if the AI remembers what it’s doing. Memory improved here in two ways: it holds the context of a long session better, and it can reach into a second brain — a context library you’ve built — to act from the truth of your business instead of guessing.
The Urgency: Your Context Library Is the Moat
Here’s why this matters right now. Your students have these same tools — long sessions, visual assets, big memory. So content alone isn’t your edge anymore.
Your edge is your context: who you serve, your voice, your offers, your workflows, the knowledge of your community. Build that library and your agents can produce on-brand work fast. Soon, you may even be able to sell your own context to other agents.
“It is now not prompts. We are talking to someone and hiring our own AI team — our own digital employees.”
Do This Week
- Pick one text-heavy lesson and ask your AI to turn the core idea into one visual asset — a diagram, a calculator, or a short simulation.
- Embed it in the lesson page using the HTML embed.
- Start your context library: write down who you serve, your voice, and your current offers in plain files your AI team can read before it works.
You don’t need to rebuild everything. Make one lesson visual and interactive, and you’ll feel the difference immediately.
Keep Going
This is the change I think teachers should pay attention to most: visual assets, built as code, embedded right into what you teach. In the next video I’ll show how these live visual assets can be personalized for each learner and embedded anywhere.
I’m James at TrainingSites.io. Like and subscribe, and come join the community — there’s a lot more coming.
