Stop limiting yourself to one LLM. 🛑
Here's why switching could have saved me a month of frustration.
I spent almost a month stuck on a website issue. Went back and forth with ChatGPT and Claude—smart models, but neither could crack it.
Then I tried something different: I asked Claude to summarize our entire conversation into a markdown file, dumped it into Gemini, and picked up right where I left off.
Gemini solved it in an hour. 🤯
It was like bringing a fresh perspective into a cross-functional team meeting. Sometimes you need the engineer's view, sometimes the designer's. Different LLMs have different strengths—and different blind spots.
Here's the thing that hit me: I was treating my AI tools like I had one coworker I kept asking about everything.
Would you keep asking your marketing person to solve your database architecture problem? Probably not. So why do we default to one LLM for everything?
Now I'm rethinking my whole approach:
- ChatGPT for creative brainstorming 🎨
- Claude for systems thinking and structured docs 📝
- Gemini for technical problem-solving when I'm stuck 🛠️
The cross-platform handoff? Dead simple. Export conversation summary → import to new LLM → keep moving.
👇 Question for the group: Are you stuck in a single-LLM relationship? What's your strategy for knowing when to switch models?
I'm curious if anyone else has had breakthrough moments by bouncing between LLMs. Drop your experience below.