Lately, I've been learning about agents, especially OpenCode.

It was really exciting expericence. Since beforehand, I'd only used a single agent, like Gemini-cli. Orchestrating different models for the same goal was a complete shock.

I made few simple tools using multi agents, such as todo-list web app, schedule manager, and so on, just for fun.

Speaking of that, I've spent most of my free time searching and learning about AI things. I've read articles like 'which model is better?', 'Using LM Studio in Ubuntu' and watched Youtube videos like 'how to set a strict harness for your agent'.

And that was it.
I realized I was collecting tools, not solving problems.

Now I got a sense of orchestrating agents simultaneously. Now I know how to setup LM Studio in Ubuntu. I can make some tools using such things.

But I still don't know what's the real problem that people have and I should resolve.

That's what I recently realized-I was focusing on AI related things too much, meaning I was focusing on making tools when I didn't know what's the problem that the tool was meant to resolve.

It was complete nonsense.

I think tools should not be the goal. The true goal should be solving problems regardless of where they're. They can be in your workflow, your daily life, and so on.

That's why I try to focus on inconvenience in my daily life these days.

For example, when I need to make a document about a product(You know, documentation is borrrring!) I am working on, I think 'Can't I automate this documentation process?' before I start the task. Even though in most case, I fail to find the solution, I think the process itself is worth.

I am not claiming that there's no need to learn about new AI agents and such things.

There are a lot of great AI agents out there and it's really exciting to just learn them itself!

What I'd like to say is that we sometimes need to reflect and ask ourselves 'why am I learning this?', 'what should I make with this?'.