I split Claude, Gemini, and ChatGPT into work, home, and casual, and it’s a mixed bag

Thanh Nguyen / Android Authority

Using large language models (LLMs) is supposed to make life easier, but it has created a new kind of mess for me. Dozens of AI tabs and app windows cover my screen, whether I am using a computer, tablet, or phone. Even worse, I have to admit that I can no longer live without these tools.

I have long tried to get the most out of different AI models by switching between them all the time. This helped me finish my work, but it also left my chats messy and sometimes caused misunderstandings. I did not blame the AI models for these problems. I was the one mixing up their conversations by asking them all kinds of questions, from work-related tasks to random thoughts.

It was time to get things under control.

I spent several days using each of three AI models for a specific purpose: Claude for work, Google Gemini for home tasks, and ChatGPT for quick, casual questions. Did this plan end the chaos, or did it create new problems?

The honeymoon phase

Thanh Nguyen / Android Authority

First, here is a little background about my work and daily life, so you can see whether your routine is similar to mine. I do many different kinds of work, including translation, writing, image editing, reading long documents, and basic coding. I give all these tasks to Claude. I also run a DIY smart home that I control with my voice through Gemini. ChatGPT is there for sudden ideas and quick brainstorming.

During the first few days, this clear separation seemed to solve all my problems. Each AI became a specialist with its own job. I stopped opening whichever one happened to be closest. I knew which AI to use for each task and how to phrase my questions to get the answers I wanted.

My work became much smoother. I could work with Claude for long periods without interruptions. This helped me make steady progress and finish entire projects, with results that were better than I had first expected. The biggest result was a custom web dashboard that automatically tracks my published articles and rates them on how concise, tech-savvy, practical, and useful they are, among other things. It displays these ratings in a simple editorial radar chart that I can use to improve future articles. I have Claude's focused, in-depth work to thank for this. It is a nice way to deal with my shorter attention span these days.

Thanh Nguyen / Android Authority

When it came to home tasks, I continued using Gemini to control my home without touching my devices, something I had already been doing for weeks. Taking work tasks away from Gemini also reduced the load it had been handling for much of the past year. Controlling my home through its familiar interface felt more natural than ever. Gemini works as an always-available voice hub and is better suited to this job than Claude's text-focused interface.

Gemini also connects closely with the Google services I use, including my Google Pixel phone, Google Home, Calendar, Keep, and Gmail. I could enter a request and get what I needed right away, without unnecessary clutter or extra steps. This made me want to use my smart home system more often.

If you want to focus better, this setup may work for you: avoid opening a place to jot down random thoughts, and instead keep your main work AI as your priority.

ChatGPT might seem less important in this setup, but things would have become noticeably messier without it. It is like a Swiss Army knife for quickly exploring ideas without filling up the long-term context of my other two AI tools. The fact that I kept opening ChatGPT showed me how scattered my thoughts were. I did not want to lose these sudden ideas because they might become useful for future projects. If you want to focus better, this setup may work for you: avoid opening a place to jot down random thoughts, and instead keep your main work AI as your priority.

Thanh Nguyen / Android Authority

Just to be clear, I did not give ChatGPT everyday questions because I wanted a digital break. I asked it all kinds of random things, such as where to take my son on the weekend, how to improve my appearance in a photo, and how often my cats should be bathed. Honestly, these questions matter just as much as my work and home tasks. Many of my friends use AI for similar everyday needs. Asking ChatGPT a steady stream of random questions gradually helped it build a picture of my lifestyle and who I am outside work. Along with my habit of checking its answers and verifying facts, this made it an essential part of my setup.

Finally, I could track how many tokens I used across all three models. This gave me a way to measure whether my day was mainly about getting work done, learning in depth, or connecting with my personal life. At first, I thought tracking my usage would also help me use tokens more efficiently and save money. But things did not work out as I expected. Now, let us look at the downsides.

There is more than one catch

Thanh Nguyen / Android Authority

I soon faced an uncomfortable truth: giving each AI only one type of task meant missing out on what the other models did well. During the experiment, I missed the rich, expressive writing in Gemini's suggestions. As a writer, I really noticed its creative style, even though Claude also writes in a thoughtful and sophisticated way.

There is another issue. When Gemini Spark becomes available to more people, it could be a useful tool for handling tasks in the background. At the very least, it could draft email replies and pull out events from Calendar. Having it prepare a draft instead of sending an email automatically gives me a clear boundary. I can check the text and make the final decision about what my reply should say. I should not miss out on such a useful feature just because I chose Claude as my main work AI. In short, this setup may not last, and new features or updates to any of the three models could easily make it less useful.

At that point, I accepted that some separation was actually necessary to get the most out of each AI model.

Token limits also became a problem. My heavy workload quickly used up Claude's available tokens, while Gemini and ChatGPT still had plenty left.

I could, of course, switch between Claude and Gemini for different tasks, but that would weaken the clear separation I had set up at the beginning. My workflow might become scattered again. Still, I accepted that some separation was necessary to get the most out of each AI model.

Thanh Nguyen / Android Authority

Keeping the AI models completely separate also means they cannot share the full picture. This is a problem when a task combines different parts of my life. Information about my home can be useful for work, and information from work can help with home tasks. For example, I see fixing problems with my smart home system as a work task because it could provide useful material for my tech articles. But I have to move information and background details from Gemini, which controls my home, to Claude, which I use for work. This adds extra steps and makes things harder. Doing the task directly in Gemini is much simpler.

Although I have spent less time discussing these drawbacks, they are not minor problems. They create real obstacles in a setup that looks neat at first and should have worked smoothly because I had full control over it.

The experiment was not a waste

Thanh Nguyen / Android Authority

It is only easy to separate work and personal tasks completely when the two areas do not overlap. As someone who works remotely, I have found a strange problem with working from home. I cannot stop controlling my household devices through Gemini just because I am writing an article or coding with Claude. Having separate interfaces for different jobs is useful, but I still have the same number of tabs and apps open. My attention still jumps between tasks, although it happens less often.

Of course, I took this setup to an extreme. Choosing which AI to use for each task should depend on personal preference. A completely separate setup may not suit me, but it would be unfair to say the experiment was useless. It helped organize my workflow and showed me clearly where the system failed. I have decided to move from strict separation to a flexible mix, choosing tasks based on each AI's strengths instead of dividing them by areas of my life. This also lets me make better use of the token limits across all three models.

Accepting a few compromises and not worrying too much about having separate tools makes things easier.

Now I use Gemini for home automation and writing support, such as testing different angles and summarizing information. Claude handles logical tasks and coding, while ChatGPT remains ready for random thoughts. I can switch between them without feeling guilty. Even using one AI can be complicated, because I need to keep each chat focused on a single topic to get clear answers. Accepting a few compromises and not worrying too much about having separate tools makes things easier. We already do this quite often with our phones, operating systems, and DIY projects.