He Doesn't Know What Python Is. He's Running Python Scripts to Pull Business Data.
- Rich Washburn

- 15 hours ago
- 3 min read


I want to tell you about Eric. Eric is a sales guy. Self-described. He'll tell you himself — he didn't do the HTML on his MySpace page back in the day. Not because he couldn't figure it out. Because it wasn't his thing.
He's not technical. He has no coding background. He doesn't know what Python is beyond "some kind of programming language, I think?" He's also built a full business-in-a-box in the consumer debt financial services space, automated the entire top-of-funnel, built his own landing pages, and is now running Python scripts to pull live conversation data and custom metrics out of GoHighLevel. Let that sit for a second.
What He Was Doing Before
Like most business builders who aren't engineers, Eric was doing what makes sense: outsourcing. Fiverr. Overseas developers. Hand the technical stuff to the technical people. And it mostly worked — until it didn't.
The problem wasn't competence. It was context. When you hire someone overseas to build your landing page, you spend the first three iterations just getting them to understand your business. The language isn't just English versus not-English. It's the language of your industry, your customer, your specific value proposition. By the time you've explained it enough times to get something close, you've lost a week and the momentum that comes with having a clear vision and needing it executed right now.
Eric got tired of the lag. So he sat down with Claude and ChatGPT and started spending hours — what he calls retard maxing — just figuring out how to build what he could see in his head.
What Happened Next
It started small. Adding pages. Small tweaks. Things that would have taken three back-and-forths with a developer were done in an afternoon.
Then it compounded. The pages became systems. The systems became automation. The automation became a full business infrastructure that you can hand to someone with a sales team and some marketing budget, give them a key, and turn on.
He built a business in a box. Not as a pitch. As a literal product. You don't need to be technical to run it. You need to be able to manage a sales team. The infrastructure underneath it — the automation, the data pipelines, the lead flows — is already built and running. His company is called Thrive . It operates in the consumer debt financial services space. It's live. It's working. And somewhere along the way, a man who doesn't know what Python is started running Python scripts to pull exactly the data he wants, when he wants it, in the format that makes sense for his business.
Not because he learned Python. Because he learned how to tell an AI what he needed and iterate until it was done.
This Is the Story Nobody's Writing
Everyone is writing about AI from the top down. The research labs. The foundation models. The billion-dollar capex races. The enterprise software deals.
Nobody is writing about Eric.
But Eric is the actual story. The Algorithmic Multiplier I've been writing about — the idea that mathematical leverage is making existing infrastructure do ten times the work — it's not just happening in data centers and GPU clusters. It's happening in living rooms and home offices, one iteration at a time, by people who couldn't tell you what a tensor is but can articulate exactly what their business needs in plain English.
When I pushed Eric on what his skill set actually was, he thought about it for a second and said: determination and iteration. Thinking outside the box. Not giving up when the first three prompts don't get you where you want to go. That's it. That's the whole skill set. Everything else the AI handles.
What This Means If You're Still Waiting
The gates are open. The tools are free or close to it. The models understand business context, industry language, and functional requirements better than a junior developer you hired last month. The iteration cycle is measured in minutes, not days. The only real barrier left is the willingness to sit down and start.
Eric didn't have a technical background. He had a business problem, a clear vision of the solution, and the determination to keep going until the AI built what he needed. The technical knowledge came along for the ride — not as a prerequisite, but as a byproduct. He doesn't know what Python is. He's running Python scripts. If you're still waiting for permission, or a certification, or the right moment — this is it. The tool doesn't care about your resume. It cares about the clarity of what you're asking for.
If you want to see what this looks like in practice, check out what Eric built at 64squares.com or thrivecds.com . A sales guy who retard-maxed his way to a fully automated, turnkey business platform. Running in production. Right now.
That's not the future of AI. That's today.




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