Is AI my work tool, or my everyday habit? I analyzed my last 20 ChatGPT chats.

Everywhere we hear the same sentence: "AI is already part of our lives."

It sounds a little banal. On the other hand, many people say that AI is already part of their work. They use it for writing, learning, coding, design, research, ideas, and everyday professional tasks. But again, it sounds like a nice phrase. Maybe even like a marketing slogan.

I wanted to check what it really means in my own life.

Not in theory. Not from a big report. Not from someone else's statistics.

From my own ChatGPT account.

So I decided to open my last 20 chats and analyze them one by one. What were they about? Were they connected to work or regular life? Did I get a useful result? Did AI save me time? Did it help me think better? Or was it just another conversation without a clear result?

Because a chat with AI is not only "question and answer."

Sometimes it is a working process. Sometimes it is brainstorming. Sometimes it is translation, rewriting, research, emotional thinking, planning, or solving a small everyday problem. Some chats have a clear result. Some chats are messy. Some chats need corrections. And some chats become surprisingly useful.

My goal was simple:

I wanted to understand what AI is for me right now.

Is it mostly a work tool? Is it part of my everyday life? Is it my habit?

Or is it already something between both — a 24/7 thinking assistant that I use without even noticing how often?

To check this, I opened my last 20 ChatGPT conversations and divided them into two main groups: "Work process" and "Everyday life".

Then I counted the result.

How I analyzed each chat

To make this experiment clearer, I created a simple table summarizing the results from all 20 chats. I did not want to rely only on memory or general feelings. I wanted to see the pattern in front of me.

For each chat, I looked at the same parameters: what the chat was about, whether it was connected to work or everyday life, what goal I had, what result I received, whether the answer was useful, and whether there were misunderstandings or corrections during the process.

1. Chat topic shows what the conversation was mainly about. This helps separate different types of AI usage: writing, technical help, everyday tasks, learning, creative work, or practical problem-solving.

2. Percentage helps make mixed chats more accurate. For example, one chat can be 70% work and 30% life if it supports a professional article but also comes from personal curiosity.

3. The Goal explains why I started the chat. This is important because AI is useful only when there is a need, question, problem, or idea behind the conversation.

4. The Result shows what I actually received from the chat: an answer, a ready text, a checklist, a technical explanation, a decision, or a better understanding of something.

5. Useful? shows whether the chat gave me real value. I wanted to check not only how often I use AI, but also whether the conversations actually helped me.

6. Misunderstandings, corrections, or repeated explanations? shows how smooth or messy the process was. This column is important because AI is not always perfect from the first answer. Sometimes I needed to clarify, correct, or ask again — and this is also part of the real working process with AI.

Experiment table

Chat topic	Percentage	Goal	Result	Useful?	Misunderstandings, corrections, or repeated explanations?
Publishing my first blog post on Medium	Work 100% / Life 0%	Understand Medium rules and publishing process	Got a practical publishing checklist and clearer decisions before posting	Yes	A little. Mainly around free publishing, member-only reading, and earning money
Professional writing and communication assistant	Work 95% / Life 5%	Use AI to proofread, rewrite, translate, and improve messages	Got dozens of ready-to-send emails, project updates, WhatsApp messages, and client texts	Yes	Minor wording corrections only. Many requests repeated the same pattern: proofreading, rewriting, and polishing
Comparing AI models	Work 70% / Life 30%	Understand whether DeepSeek is Chinese and whether different AI models can answer differently	Got a clear explanation that different AI models may answer differently because they are trained on different data and follow different company rules	Yes	Only small language corrections. The chat was simple and clear
Illustrator embedded images check	Work 100% / Life 0%	Checking linked and embedded images in Adobe Illustrator	Got a clear explanation about the problematic embedded images	Yes	A little. The Links panel needed a few follow-up questions
The cost of saying "please" to ChatGPT	Work 0% / Life 100%	Understand whether polite words like "please" cost OpenAI money	Understood that polite words add tiny individual token costs, but can matter at a massive scale	Yes	No. The chat was clear and direct
Moving apartment: electricity account transfer	Work 0% / Life 100%	Understand how to remove my name from the electricity account when leaving an apartment	Got the direct online place for handling the Electric Corporation moving / tenant change process	Partly	Yes. A clarification was needed
Clarifying ambiguous terminology with AI	Work 80% / Life 20%	Understand what "NLP" means and whether it refers to AI or Neuro-Linguistic Programming	Learned that NLP has two common meanings and understood the difference between them	Yes	Yes. The first answer assumed the AI meaning and did not mention the second meaning, so a correction was needed
Interviewing ChatGPT about AI limits	Work 70% / Life 30%	Create a blog post from an experimental "interview" with ChatGPT about AI limits, capacity, respectful dialogue, and human-like communication	Got full information for the article	Yes	No. The chat was clear and direct
Website Platform Check	Work 100% / Life 0%	Check what platform the website was built on	Got a quick technical assessment that the website was probably custom-built rather than clearly Wix or WordPress	Yes	No. The chat was clear and direct
Plant care advice	Work 0% / Life 100%	Find out whether a broken houseplant branch could grow roots in water and be replanted	Learned that the Dieffenbachia cutting can likely develop roots in water and later be planted in soil	Yes	No. The chat was clear and direct
Insurance policy comparison	Work 0% / Life 100%	Compare existing and new health insurance options and decide whether to switch insurance providers	Got a clear recommendation: keep existing life insurance	Yes	No. The chat was clear and direct
Technology question	Work 0% / Life 100%	Get quick factual information about Japan's internet speed record	Learned that the record was achieved in a research environment, not as a regular consumer on the internet	Yes	No. The chat was clear and direct
Food and ingredient questions	Work 0% / Life 100%	Understand what maltitol, sucralose, and allulose are	Understood the basic differences between the sweeteners, especially the blood sugar impact	Yes	No. The chat was clear and direct
Digital invitation design	Work 100% / Life 0%	Checking the recommended size for a digital invitation sent through WhatsApp	Got practical size options	Yes	No. The chat was clear and direct
Keto dessert recipe assistant	Work 0% / Life 100%	Adapt keto dessert recipes and solve practical baking problems while making a keto lemon dessert	Got a complete keto lemon cake recipe, substitution guidance, and practical baking tips based on available ingredients	Yes	Partly, the conversation evolved through follow-up questions and ingredient constraints
Dog health question	Work 0% / Life 100%	Understand why a dog may suddenly drink much more water than usual	Got a structured overview of common and serious reasons for increased water consumption and warning signs to monitor	Yes	No. The chat was clear and direct
Product comparison: ceiling lights	Work 0% / Life 100%	Compare three ceiling light fixtures and understand which one fits different needs	Got a simple decision guide by room type, design preference, budget, and water-resistance needs	Partly	Yes. The comparison was based on limited product information and some assumptions
Wix Studio development and debugging	Work 100% / Life 0%	Implement interactive UI functionality in Wix Studio, including a mobile accordion and multistate box behavior	Got implementation approaches for accordion logic, state switching, animations, and debugging Wix Studio code issues	Partly	Yes. Several misunderstandings about Wix elements and repeater behavior required multiple iterations
Understanding Wix Podcast RSS integration	Work 100% / Life 0%	Understand how the Wix Podcast app works, what RSS is, and what can be customized in Wix	Got a practical understanding of RSS synchronization, design customization options, and content limitations when using external podcast hosts	Yes	No. The chat was clear and direct
Bissell cleaning troubleshooting	Work 0% / Life 100%	Estimate the cleaning solution amount and troubleshoot why dirty water was not collecting in the tank	Learned how much solution to buy, found the likely setup issue, and understood how to continue extracting moisture and dirt	Yes	Yes. Several follow-up questions were needed before identifying that the tank was not seated correctly

Calculation

Work: 45.75%

Everyday life: 54.25%

The result surprised me a little.

Before starting this experiment, I was sure AI was mostly a tool for work. After all, I use it constantly for writing, UX/UI questions, project communication, design issues, brainstorming, translations, and many other professional tasks.

But after analyzing 20 chats, the result was more balanced: 46% work and 54% everyday life.

So for me, AI is not only a professional tool. It is also part of regular life: cooking, home tasks, health questions, shopping comparisons, plant care, pet problems, and quick learning.

The most interesting insight is that AI does not replace one specific tool in my life. It replaces many small searches, small doubts, small decisions, and small moments when I would usually spend time asking someone, checking Google, reading forums, or trying to understand something on my own.

The more AI makes life easier, the more it becomes an everyday habit.

#AI #ChatGPT #AIInEverydayLife #AIForWork #FutureOfWork #DigitalHabits #PersonalExperiment