The question I get most from people just getting into AI tools:
“Which one should I use — ChatGPT, Gemini, or Claude?”
The answer is not one. It is all three. But for different things.
I was explaining this to Jacob during a coaching session recently. He is a construction intern learning AI tools for the first time. He had been using ChatGPT and wanted to know if he was missing anything.
I told him to think about it the way he thinks about builders.
Some contractors specialize in sports facilities. Some in luxury homes. Some in office buildings. They all build — but they are not interchangeable. You would not hire the stadium guy to design a custom home. The specialist exists for a reason.
AI models work the same way.
ChatGPT: The Daily Driver
ChatGPT is the most general-purpose of the three. Research, brainstorming, writing, thinking through decisions, answering questions on any topic. It is the first tool most people reach for — and for good reason.
Think of it like a subject matter expert you can actually have a conversation with. Someone who knows a lot about almost everything, who gives you a real answer instead of a search results page, and who can switch contexts fast.
For day-to-day tasks — emails, research, explaining concepts, working through ideas — ChatGPT handles it. It is the daily driver.
Gemini: The Visual Specialist
Gemini earns its spot on images and video.
When I need photorealistic renders — for a project pre-sell, a product concept, a design mockup — Gemini is what I use. ChatGPT can generate images too, but there is a quality difference. ChatGPT images have a glossy AI finish to them. Gemini renders look like real photography.
I have seen this used to real effect. One of our coaching clients used Gemini renders to pre-sell a project before a single thing was built. Potential buyers made decisions based on AI-generated images that looked indistinguishable from actual photos.
Gemini also integrates natively into Google ecosystem. If you live in Docs, Sheets, Gmail, or Drive, Gemini connects there in ways the other models do not.
Claude: The Builder
Claude is what I open when something needs to actually be built.
Technical work. Coding. Agent design. Complex structured tasks where the output has to be right, not just plausible. Claude is strong at holding a lot of context and reasoning through it carefully — which matters when you are designing something with many moving parts.
One thing most people do not know: Claude can connect to Google Drive directly. Most other models cannot do that yet. So if your source material lives in Drive — transcripts, documents, research files — Claude can work with it without you copy-pasting everything in.
When I am building an agent system or designing a workflow from scratch, Claude is what I reach for.
The Routing Principle
The failure mode I see most often: someone finds a model they like, gets comfortable with it, and tries to force it to do everything.
That works — until it does not. You end up with images that look AI-generated when you needed photorealistic. You end up with code that almost works. You spend 40 minutes on something that would have taken 10 minutes in the right tool.
The better approach is routing. Instead of asking which AI is best, ask which AI is best for this task.
- ChatGPT — general-purpose work, research, brainstorming, daily conversations
- Gemini — images, video, visual concepts, Google Workspace integration
- Claude — technical builds, coding, agent design, anything complex and structured
Once you internalize this, your output gets noticeably better — not because you got better at prompting, but because you stopped asking a luxury home builder to design a sports stadium.
Jacob got it immediately. Because in construction, this is obvious. The specialists exist for a reason.
It is the same with AI. Route the work to the right tool. Do not be loyal to the model. Be loyal to the outcome.
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