I didn’t realize I was barely using half my AI tools

There was a point where it felt like having more AI tools meant being more productive.

I used to think more AI tools = more productivity. It felt logical. More tools meant more capability, more flexibility, better results. So I kept adding them without thinking much about how they actually fit together.

But when I really looked at my day-to-day usage, it didn’t feel that efficient. A lot of tools were just sitting there unused, and even the ones I relied on required constant switching. I’d start something in one place, move it somewhere else to refine, then test it in another tool. It worked, but it added unnecessary steps. The strange part wasn’t the number of tools, it was how little most of them were actually contributing. Even the useful ones depended on jumping between others to finish a single task.

Over time, it started to feel less like doing work and more like managing a system of tools. That’s when I stopped trying to add more and instead tried to simplify. I moved everything into one place with Gen36AI, where multiple models and tasks can run together instead of being split across different platforms. The idea was just to reduce switching and see if it made any difference.

After using it for a while, the biggest change wasn’t in the output, it was in how everything flowed. There’s less back and forth, more consistency, and fewer repeated steps. Even small things like saving and reusing prompts made the process feel lighter.

It didn’t magically make everything faster, but it made it smoother and easier to manage. And that ended up mattering more than I expected.

Curious if others have noticed something similar, or if most tools in your setup are actually being used fully.