ChatGPT Confession #013

I Followed ChatGPT’s Advice … And It Backfired

This is part of my ChatGPT Confessions series, where I test what ChatGPT can actually do in real-life situations.
View all ChatGPT Confessions

Every morning, I’d open my computer and be hit with hundreds of tasks competing for my attention. I would sit there, delaying decisions, because I genuinely didn’t know where to start. By the end of the day, I had been busy the entire time and still felt like nothing meaningful had moved forward.

The next morning, the list was still there. Same tasks, same pressure, same mental load. That’s when I realised this wasn’t a time issue, and it wasn’t going to fix itself.

The Morning Everything Spilled Out

One morning, I stayed in bed and decided I couldn’t keep going like that. I opened ChatGPT and dumped everything into it, not just work, but my entire mental load. Both businesses, all my systems, every list, and every unfinished idea I had been holding in my head.

This was the first time I stopped trying to organise things in pieces and actually looked at everything together. I didn’t filter anything, because I didn’t trust myself to decide what mattered anymore. That was the moment where iteration with AI actually began, even though I didn’t realise it yet.

The Real Problem Wasn’t What I Thought

As ChatGPT worked through everything, something became obvious very quickly. The issue wasn’t that I couldn’t manage my time. The issue was fragmentation across too many systems and too many places to look.

Every task came with a decision before I could even start working. That constant decision-making is what created the pressure, not the workload itself. When ChatGPT gives the wrong answer first, it often still exposes the real problem underneath.

The Notion Detour

ChatGPT suggested Notion as the solution. It made sense at the time, so I went all in. For about a week, I built pages, databases, and structures that looked impressive but didn’t actually help me get anything done.

Every step forward added more complexity. I wasn’t working on my business, I was working on a system that required more thinking than the work itself. That’s when I started to feel like I had made things worse, not better.

The Moment It Really Hit Me

Frustrated, I asked ChatGPT to help me write a proper brief so I could get someone else to build the system. When it came back and explained that a solid Notion setup would likely require a systems architect, around 40 hours of work, and roughly $3,000, I just sat there staring at the screen.

I wasn’t trying to build an enterprise system. I was trying to get through my workload without losing my mind. That was the moment everything shifted.

Starting Again – Properly This Time

I stopped everything and said there had to be another way. That’s when ClickUp entered the picture, and we approached it differently. Instead of building complexity, we focused on consolidating everything into one place.

Tasks, projects, priorities, both businesses, and even personal admin started moving into a single system. The difference was immediate, and I didn’t need a $3,000 setup to get there. This is where refining prompts ChatGPT style actually made a difference, because the direction changed completely.

What Changed Once It Clicked

The noise dropped almost instantly. I wasn’t juggling systems anymore, and I wasn’t making constant micro-decisions before I could even begin working. That alone reduced the mental load more than any productivity tool I had tried before.

I’m not finished, and I’m probably about 90% there. There are still things being refined, adjusted, and improved. The difference is, I now feel in control instead of overwhelmed.

What This Taught Me About Using AI

This experience completely changed how I look at AI. When ChatGPT gives the wrong answer first, it doesn’t mean the process failed. It often means you’re one step closer to the right direction, as long as you keep questioning and refining.

Trusting ChatGPT doesn’t mean blindly following every suggestion. It means using it as a thinking partner, testing ideas, and adjusting based on what actually works. That’s where the real value comes from.

If you want to see how AI can support this kind of thinking across your business, start here:
AI & Automation

You can also explore how to improve your results through better prompting here:
ChatGPT Prompts

And if you want practical ways to apply this immediately, this is worth a look:
121 Practical Things AI Can Help With When You’re a Solo Business Owner

Why This Matters If You’re Running a Business

Most solo business owners don’t have a system problem. They have a clarity problem caused by too many tools, too many decisions, and too much mental load. This is exactly where AI can help, when it’s used properly.

You don’t need a perfect system. You need something that reduces friction and lets you focus on what actually matters. That’s a very different goal, and it changes how you approach everything.

If you want to explore more real examples like this, you can browse the full series here:
ChatGPT Confessions Hub

And if you’re looking to save time and reduce that mental overload, I’ve put everything together here:
Wait. You Can Do That? – Save Time with AI

Frequently Asked Questions

ChatGPT works based on the information and context it is given. If the input is broad or unclear, the output may head in a direction that isn’t ideal. This is why refining prompts ChatGPT style is essential for better results.

Trusting ChatGPT doesn’t mean following it blindly. It should be used as a thinking partner to explore options and test ideas. The final decision still needs to be based on your situation and judgment.

Iteration with AI means refining your inputs and adjusting direction based on the output. Each step improves clarity and leads to better results. The first response is rarely the final answer.

If the system requires constant thinking, setup, and maintenance before you can even start working, it’s too complex. A good system should reduce decisions, not add more of them.

Yes, AI can help identify inefficiencies and suggest better structures. It can also consolidate information and reduce fragmentation. The key is using it to simplify, not over-engineer.

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ChatGPT Confession #011

I Kept Saying I Had No Time … ChatGPT Called Me Out on It

Next:

ChatGPT Confession #014

I Asked ChatGPT to Compare Freelancers … It Asked Me to Remove Their Names

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