MOST FOUNDERS ARE USING AI WRONG. HERE’S THE COST.
By Vix Reitano, Founder + Growth Partner, Agency 6B
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ARE YOU MY MODEL? THE AI DECISION THAT'S COSTING FOUNDERS MORE THAN THEY KNOW.
Most founders I talk to are using AI wrong. Not because they don't care. Not because they haven't tried. Because nobody told them that Claude, ChatGPT, and Gemini are fundamentally different tools built on fundamentally different priorities — and picking the wrong one for the job is the same as sending your best salesperson to do your CFO's work.
They're all impressive. They all write. They all answer questions. And that surface-level similarity is exactly what's getting founders into trouble.
THE MODEL IS NOT THE TOOL. AND THE TOOL IS NOT THE COMPANY.
Before we go any further, a distinction that matters more than most people realize.
Claude, ChatGPT, and Gemini are models. The companies behind them — Anthropic, OpenAI, and Google — are holding companies. This is not trivia. It determines what each model prioritizes, how it was trained, and what it's actually optimized to do. Those same models are also the engines inside dozens of other tools — Perplexity, Notion AI, and countless niche applications built for specific job functions. When you understand the model, you understand what you're actually working with, regardless of which interface you're using.
Following the leaders of these holding companies is one of the highest-ROI things you can do right now. It will tell you more about where AI is going than anything showing up in your feed.
WRONG TOOL, WRONG OUTPUT, WRONG DECISION.
Here is the short version. The one nobody puts in a LinkedIn carousel.
Claude is best for anything requiring analysis, nuance, and sustained reasoning. It is built by a company — Anthropic — that hires humanities majors and has made "AI safety" a core design principle. If you are doing strategic thinking, writing that requires depth, research synthesis, or anything where the quality of the reasoning matters as much as the speed of the output, Claude is the model for that work.
ChatGPT is best for anything requiring strong memory and execution continuity. OpenAI built a product that holds context across conversations in a way that makes it well-suited for ongoing workflows where the tool needs to remember what you've been building together. The flip side: getting it to forget something it has learned can be genuinely difficult.
Gemini is best for anything requiring pattern recognition, especially if you already live in Google's ecosystem. If your institutional memory is in Google Drive — years of documents, decks, data — Gemini can surface patterns in that history in a way the other models can't match. It's also worth noting that for founders dealing with sensitive intellectual property, Google's enterprise data handling is more familiar and, for some, more trusted.
None of this is permanent. These models are updating constantly. What matters is knowing that the differences are real, they are architectural, and choosing based on "I've heard of it" is leaving results on the table.
THE THING NOBODY TALKS ABOUT AT THE BOTTOM OF THE TERMS OF SERVICE.
If you are not paying for a tool, or not logged into an account, your conversations and data are not protected in the way you assume they are. This is not paranoia. This is product economics.
Free tiers exist to train models. Your inputs — your strategies, your client context, your proprietary frameworks — are potentially part of that exchange. For founders running real businesses with real IP, this is not a wellness consideration. It is a legal and competitive one. Pay for the tools you use for anything that matters.
THIS IS NOT A TECHNOLOGY CONVERSATION. IT IS A COMPETITIVE ONE.
I have been in technology for over two decades. I watched the internet get dismissed, then adopted, then weaponized. I watched social media get dismissed, then adopted, then weaponized. AI is moving faster than either of those cycles, and the window to build real fluency before it becomes table stakes is shorter than people think.
Here is what that means practically: founders who understand which model to use for which job are going to make better decisions, faster, with less wasted effort. Founders who use whatever is in front of them and assume the outputs are equivalent are going to get equivalent-looking results that quietly underperform.
The competitive advantage is not in using AI. Everyone is using AI. The advantage is in knowing what you are actually using it for, and whether the tool you chose was built to do that job.
Pick the model like you pick the hire. Know what you are optimizing for. Then choose accordingly.
It all starts with The Diagnostic, see if your business is a fit for a one-week audit that identifies where your growth is stalled and how to fix it: https://agency6b.com/the-fit
Vix Reitano is the Founder and Growth Partner at Agency 6B, where she embeds in companies, builds the custom marketing and revenue systems they actually need, and her team runs those systems. She has spent 20 years at the intersection of technology, systems, and growth — and is currently building out her AutoMagic Community, a video library, live training series and Vibe Code Bootcamp program for founders. Learn more at agency6b.com.
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