I used to think having more tools meant I was becoming more productive. It was easy to believe. A new AI tool would appear.
I would test it. Maybe sign up. Maybe bookmark it.
Maybe add it to a growing list of things I should learn. Then another tool would come along. And another.
Before long, the problem wasn't finding an AI tool. The problem was deciding which one to use. I think a lot of people are making the same mistake.
They are building a collection instead of building a workflow. There is a difference. A collection gives you options.
A workflow gets the work done. Imagine you need to write a proposal. You could spend 30 minutes deciding which AI writing tool to use.
Or you could open the tool you already know, give it the context, draft the proposal, review it, and send it. The second person wins. Not because they have better technology.
Because they have less friction. That has changed how I think about my own AI stack. I don't want 100 tools.
I want a small number of tools that I know well. Tools that I can trust. Tools that fit into how I already work.
This is one reason I pay attention to tools like ChatGPT, Claude, Wispr Flow, and the other platforms I use in my own work. I am not interested in collecting them. I want to know:
What does this tool help me do? How much time does it save? Does it improve the quality of my work?
Does it make something possible that was previously difficult? If the answer is no, I move on. That sounds simple.
But simplicity is a competitive advantage. Every extra tool creates another login. Another subscription.
Another workflow. Another thing to remember. Sometimes the best productivity upgrade is removing a tool.
There is also a deeper problem with tool collecting. It can feel like progress. You can spend an entire afternoon watching AI videos and testing new tools and walk away feeling productive.
But nothing was actually built. No proposal was sent. No client was helped.
No product was launched. No system was improved. You learned about tools.
That is not the same as using them. I have to remind myself of this too. Because learning is fun.
Building is harder. So these days, I ask a different question. Not:
“What is the best AI tool?”
But:
“What is the simplest tool that can solve this problem well enough?”
That question has saved me a lot of time. And probably a lot of money too. You don't need the biggest AI stack.
You need a useful one. Use fewer tools. Learn them well. Build more with them.
