🧠 The "Best" LLM Doesn't Exist. (But the Right One Does.)
I see the same debate happen every day: "Is Claude better than ChatGPT? Is Gemini catching up?"
Here is the truth: There is no universal "best" model. There is only the right model for your specific Optimization Target.
If you are trying to use ChatGPT for a task that requires "creative messiness," you are going to struggle. If you use Claude for "blue sky" brainstorming, you’ll hit a wall of conservatism.
I’ve put together a Universal LLM Selection Framework (attached below 📄) to help you stop guessing and start shipping.
The Core Concept: The 3 Stances According to the framework, each model has a distinct "personality" or optimization stance:
1. Gemini Interprets 🎨
· Ask it: "What's the story here?
· Use for: Massive messy data, finding unexpected angles, and narrative polish.
2. Claude Reconstructs 🛠️
· Ask it: "How do I stay accurate?
· Use for: Iterative refinement, operational consistency, and "client-proof" implementation.
3. ChatGPT Abstracts 📐
· Ask it: "What structure should this follow?
· Use for: Deep logical reasoning, system architecture, and clean, well-defined problems.
How to use this: The attached guide breaks down 8 specific task categories—from Education & Training to Technical Systems—and tells you exactly which model to use (and which trade-offs to accept).
It also covers Multi-Model Workflows. For complex work, you often need to sequence them.
  • Example: Use Gemini to find the creative angle → ChatGPT to build the logical architecture → Claude to write the reliable implementation .
🤖 The Shortcut: Custom GPT I know memorizing a matrix can be a pain, so I built a Custom GPT trained on this exact framework.
You simply tell it what task you are working on, and it will analyze your input context (clean vs. messy) and tell you exactly which model (or sequence) to use.
Download the full PDF guide below for the deep dive! 👇
Let me know in the comments: Which model is currently your "daily driver" and why?
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Tony Blake
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🧠 The "Best" LLM Doesn't Exist. (But the Right One Does.)
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