Introduction

Choosing the right AI model is like hiring the right teammate. One model can’t do it all - each has its own strengths and style.

What Problem Does It Solve?

Many people use only one AI model, then get frustrated when results are sloppy or limited. The TIP Method helps you match the right model to each task, reducing bad outputs and making AI work more like a skilled team.

Quick Summary

The article explains that no single AI model is best for everything. Just as you wouldn’t expect one person to be a designer, writer, coder, and analyst, you shouldn’t rely on just one AI. Instead, you should learn the strengths of different models and use them where they fit best.

The TIP Method offers a simple way to do this:

• Tasks: Break work into smaller parts like “research, outline, draft” instead of a vague “write article.” This makes it easier to assign the right model.
• Intelligence: Choose a model with enough brainpower for the task. More capable models usually handle complex reasoning, details, and long contexts better.
• Personality: Models have different styles. Some are analytical and precise, others more creative or casual. Once hard skills are matched, pick the personality you prefer.

The piece also stresses testing models side by side. Running the same task through multiple models or letting them critique each other often produces the best results. Over time, you’ll learn each model’s quirks and naturally know which to pick.

Key Takeaways

• One AI model can’t do everything well.
• Break tasks into smaller steps before assigning models.
• Intelligence is usually the deciding factor – smarter models reduce errors.
• Personality matters when hard skills are equal.
• Testing and comparing models is the fastest way to find what works.
• The more you use different models, the easier it gets to choose the right one.

What To Do

• Break down your next project into small, clear tasks.
• Use a more capable model for 80% of your work to improve quality.
• Compare outputs from at least two different models for the same task.
• Note which model’s style you prefer for writing, coding, or analysis.
• Create a simple “AI model cheat sheet” for yourself or your team.
• Spend a week testing at least two models on real work - don’t stick to just one.

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