Table of Contents
- The Truth I Realized After Losing an Epic Prompt into Thin Air
- The 100,000 KRW Monthly Trap: Why Are We Stuck in 'Tab Hell'?
- AI Platform Integration: The Completion of the 'Multi-Model Relay' Workflow
- Why Task History is the Core of Productivity in 2026
- Monthly Subscription vs. Pay-As-You-Go Credits: The Real Cost Comparison Table
- Frequently Asked Questions (FAQ)
- What Are Your Thoughts?
The Truth I Realized After Losing an Epic Prompt into Thin Air
Last Tuesday at 11 PM, I completed a prompt that generated an absolutely amazing draft proposal. I was setting the framework in ChatGPT, refining the context with Claude, and then putting it into Gemini to cross-verify with the latest data. However, while having over 15 browser tabs open and repeatedly copying and pasting back and forth... I accidentally closed the entire window.
I frantically pressed the restore shortcut, but the session I was working on in a temporary tab was gone forever. It was the moment 3 hours of overtime vanished into thin air. Have you ever experienced something like this? As of 2026, despite having the smartest AIs in history by our side, we are wasting an enormous amount of energy just managing them.
The 100,000 KRW Monthly Trap: Why Are We Stuck in 'Tab Hell'?
Let me be honest. These days, among those who really know how to work, almost no one uses just a single AI. DeepSeek is overwhelming for coding or logical structuring, Claude 3.5 is better for natural Korean writing, and Gemini 1.5 Pro is essential for Google ecosystem integration or analyzing large documents.
As a result, combining ChatGPT Plus (about 30,000 KRW), Claude Pro (about 30,000 KRW), and other specialized AI subscriptions naturally leads to a fixed monthly expense of nearly 100,000 KRW. The money is one thing, but the bigger problem is the fragmented work environment. To take the results from model A to model B, you have to copy them one by one, and to find the work you did yesterday, you have to search through 3 different sites.
AI is supposed to be my assistant, but at some point, I became a middle manager coordinating communications between 3 AIs.
AI Platform Integration: The Completion of the 'Multi-Model Relay' Workflow
To solve this problem, the method I recently completely overhauled is utilizing an AI platform integration dashboard. If you use a platform like MoaAI, which I have settled on, you can use ChatGPT, Claude, and Gemini simultaneously in a single window. Let me show you exactly how this workflow operates in actual work.
1. Planning (Gemini 1.5 Pro): Utilizing the 1M context window, I throw in 10 competitor PDF reports at once and extract insights.
2. Structuring/Coding (DeepSeek V4): Based on the extracted insights, I write the HTML/CSS framework and scripts to be uploaded to the webpage. (You can currently test this through the DeepSeek V4 free trial on MoaAI.)
3. Copywriting (Claude 3.5): I apply human-like, emotional Korean copy to the rigid framework.
4. Media Generation (SUNO AI): I generate promotional BGM to be inserted into the content in just 1 minute using the SUNO AI music generation feature.
This entire process takes place within exactly 1 browser tab, simply by changing the model via a dropdown. There is absolutely no interruption in the flow from copying and pasting.
Why Task History is the Core of Productivity in 2026
Here comes the really important part. It is the integrated Task History. Previously, questions asked in ChatGPT only remained in ChatGPT, and questions asked in Claude only remained in Claude. However
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