I was spending 2 hours every day manually prompting the same workflows.
Copy content to ChatGPT. Get response. Paste to doc. Repeat 50 times.
Meanwhile, I watched other people building AI agents that ran without them. Custom apps that handled their repetitive work automatically. Systems that made my “good prompting skills” look like I was still using a typewriter in the smartphone era.
I knew what the ceiling looked like. I just had no idea how to break through it.
Here’s what made it worse:
I’d already crossed the first skill gap. I could prompt Claude to analyze data, draft content, solve complex problems. My prompts were clean. My outputs were useful. By most standards, I’d “figured out AI.”
But that skill wasn’t getting me to where those other people were.
There was a second gap I couldn’t see the path across.
Here’s the thing nobody tells you about AI:
There are actually two skill gaps, not one.
The first gap—learning to prompt, understanding context, getting useful outputs—that’s what most people struggle with initially. YouTube tutorials and free AI newsletters (including mine) can help you cross that.
But the second gap? That’s where the actual transformation happens.
It’s the gap between being stuck in the copy-paste loop and building AI systems that think alongside you. Between spending your day as an expensive middleman between browser tabs and creating space for the work only you can do.
That’s when AI stops being a tool you use and becomes a partner that compounds your work.
The problem: You can’t see the path from here to there
I spent a year trying to figure out that leap alone. Tested automation tools. Read documentation. Followed tutorials that assumed I already understood concepts nobody had explained to me.
The problem wasn’t lack of effort. It was lack of visibility into how experts think:
I couldn’t see how someone decided to structure a knowledge base one way versus another.
I couldn’t ask “wait, why did you choose that tool instead of this one?” in real-time.
I couldn’t watch someone work through a problem and see their decision-making process, not just their final solution.
So I made expensive mistakes. Tested tools I didn’t need. Built workflows that broke. Wasted hundreds of hours on approaches an expert could’ve told me wouldn’t work in a 5-minute conversation.
Eventually, I figured it out through sheer trial-and-error. Built systems that actually worked. Started this newsletter to share the frameworks I wish someone had shown me earlier.
6,700+ subscribers now read about the AI systems I built through experimentation.
What I’ve learned after crossing that second gap
You develop taste for what AI should handle versus what needs your human judgment.
You build systems that compound—knowledge bases that get smarter, automations that save more time each month, workflows that handle complexity you used to manage manually.
You create space for the higher play—the strategic thinking, creative work, and meaningful projects that actually move your career or business forward.
That’s the deeper partnership with AI that most people miss while they’re stuck manually feeding content to chatbots.
And that’s exactly what I wish I’d had access to two years ago: watching people who’d already made that leap show me how they think, not just what they built.
The community I wish existed then
While growing my newsletter, I met Michael Simmons and learned how to scale it. Later, he invited me to join Cozora as one of 13 experts teaching AI implementation.
When he explained the concept—practitioners showing their screens live, building real workflows, answering questions in real-time—my first thought was:
“This is exactly what I needed two years ago.”
Not another course to watch passively. Not more documentation to read alone. But actual access to watch experts work through problems, ask questions while they’re building, and see the decision-making process that tutorials skip over.
What 2 years of expensive mistakes taught me
Here’s what would’ve changed if I’d had this access 2 years ago:
Instead of testing random automation tools for weeks, I could’ve asked an expert: “Which workflow should I actually optimize first?” and gotten an answer in 20 minutes.
Instead of learning to structure AI context through trial-and-error, I could’ve watched someone’s screen as they built a knowledge base and asked: “Why did you organize it that way?” before wasting time on the wrong approach.
Instead of feeling stuck between basic prompting and building real systems, I could’ve seen how people actually make that leap—not just read about it after they’d already figured it out.
Instead of spending money on tools that didn’t fit my workflow, I could’ve learned which tools to ignore from people who’d already tested them in real-world scenarios.
Here’s the honest truth about learning AI
My newsletter shares practical automation frameworks for knowledge workers, creators, and entrepreneurs. That’s my zone—helping people move from prompting to building systems that create leverage.
But AI is too vast for any single perspective.
I’m still learning ML engineering approaches from Jonas Braadbaart, systems thinking from Tam Nguyen, community building from Claudia Faith, Jenny Ouyang, Tom Kuegler, and some other people I’ve met along the way: Joel Salinas, Sam Illingworth, Zain Haseeb, Max Bernstein, Jeremy Caplan, and Ev Chapman. Every expert in Cozora approaches AI from a completely different angle.
And that’s exactly the point.
Learning from diverse specialists shows you possibilities you can’t see when you’re only learning from one perspective. It’s the difference between reading about how someone climbed a wall versus watching 13 different people show you their unique approaches to the same wall.
What Cozora actually is
13 experts showing their screens live while building real AI workflows. You watch them work, ask your specific questions in real-time, and see how they make decisions—not just what they decided.
Weekly sessions where you can ask: “Why did you structure it that way?” “What would break if I changed this?” “Which tool would you use for my specific situation?”
A community to find collaborators for bigger projects than you can tackle solo.
Access to proven prompts, automations, and workflows from each creator, not just conceptual frameworks.
Learning to see how experts think through problems, which is worth more than any template or tutorial.
What becomes possible when you have this access
You stop wasting time on expensive trial-and-error because you can ask “would this approach work for my situation?” before you build it.
You see the decision-making process that separates “good at prompting” from “building systems that compound”—the thinking that tutorials skip over.
You develop faster because you’re learning from practitioners across different domains, each showing you what’s possible from their unique angle.
You find collaborators who can help you build the ambitious projects you can’t tackle alone.
You create the leverage that transforms AI from “helpful tool” to “strategic partner that handles complexity while you focus on higher-level thinking.”
That’s the leap. That’s what I wish I’d had access to two years ago.
The honest details
Cost: $75/month or $720/year.
Transparency: I’m one of the 13 teaching experts at Cozora, and the links in this post are affiliate links. I earn a commission if you join. I’m sharing this because I genuinely believe it solves the problem I struggled with for two years, but wanted you to know about the commercial relationship.
For AI Maker paid subscribers: I secured a special 50% off because you’re already investing in AI implementation with me. Access the special offer inside Maker Labs
Real talk: This isn’t for everyone. If you prefer learning alone through documentation or YouTube tutorials, this won’t add much value.
But if you’re tired of expensive trial-and-error... if you want to see how experts actually think through problems instead of just reading their conclusions... if you feel stuck at a plateau you know you could break through with the right guidance...
The first sessions start October 30th. I’ll be there learning from the other experts and sharing what I’ve built through experimentation.
This is the community I wish existed when I started. Now it does.
Wyndo
P.S. Think about what becomes possible when you’re not spending 2 hours daily on manual prompting. When your AI systems handle the repetitive thinking so you can focus on work that actually compounds. One hour with an AI expert typically costs $500+. You’re getting unlimited access to 13 experts showing you how they build systems that create that leverage for $75/month. If you’re ready to make that leap, the investment makes sense.
Just to clarify — sign up to either the monthly or annual AI Maker Lab and the offer for 50% off Cozora is presented within that private access?
Most people stop at prompting. Few cross the second skill gap, building AI systems that think alongside you. That’s where leverage, compounding, and real transformation happen.