Table of Contents
- Prologue: Why Does AI Keep Misunderstanding My Intentions?
- 2026 ChatGPT, Claude, and Gemini Comparison: Which is the 'Real' Tier 1 for My Work?
- Practical Workflow 1: 'AI Relay' from Planning to Development (AI Recommendations for Coding)
- Practical Workflow 2: AI Resume Writing Relay to Prevent Instant Rejection
- Escaping the Tab-Switching Trap: The True Value of Integrated AI Platforms
- Frequently Asked Questions (FAQ)
- Discussion: What is Your Favorite Combination?
Prologue: Why Does AI Keep Misunderstanding My Intentions?
Last month, while writing a new project proposal at work, I almost smashed my keyboard in frustration. I fed a massive amount of market research data into ChatGPT to extract insights, but it kept giving me completely irrelevant answers. After tweaking the prompt more than 10 times, I finally gave up and put the data into Gemini. In just 5 minutes, it generated the exact perfect summary I was looking for.
Have you ever experienced something similar? If you've caught yourself thinking, "Man, why has AI gotten so dumb lately?", the truth is, AI hasn't gotten dumber. It's because we've been trying to hammer a 'nail' with a 'saw'.
As of 2026, there is no such thing as a perfect, all-in-one AI. Since each model has different architectures and biases in its training data, their areas of expertise are clearly divided. Today's top performers no longer rely on a single AI. Instead, they build an 'AI relay workflow', switching to the optimal AI model for each specific stage of their work.
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