AI is powerful and exciting. It has helped lean teams do more, reduced the kind of repetitive work no one enjoys, and made powerful capabilities available to almost anyone.
When AI tools started rolling out at a rapid pace, they quickly became the content engine for marketers, creators, and thought leaders. LinkedIn turned into a running show-and-tell. Look what I built. Look what I can create. Look at the role I just eliminated.
And while some of that was interesting, a lot of it missed the point.
AI is great. I use it every day for many different things. But it still requires a human. Judgment. Creativity. Discernment. Otherwise, you are just contributing more noise to an already saturated internet.
When I started my career more than two decades ago, I never would have imagined this would be the future. Out of all the technologies that have surfaced over the years, AI is probably one of the most dramatic in terms of how quickly it has changed the way people think about work. That is not to say it is all bad. It is not. But I do think we are still relatively early in understanding the full impact it will have on jobs, the environment, and humanity more broadly.
But that is not what I want to talk about today.
Today, I want to talk about overtooling.
I have tested more than 300 AI tools. It is expensive, and at times it is more time-consuming than doing the actual work. That may sound ironic coming from someone who built an AI tool directory, but that is exactly why I built it. There are tools that can save you a significant amount of time. There are tools that can help fill skill gaps on a team. There are tools that can reduce unnecessary expenses or speed up work that would otherwise take hours.
But there are also plenty of tools you do not need.
And that is where people get into trouble.
They start collecting tools the same way people collect tabs in a browser. One for writing. One for design. One for video. One for automations. One for note-taking. One for search. One for agents. One for prompts. One for presentations. One for transcription. One for SEO. Before long, they are paying for five subscriptions that overlap, barely using half of them, and still feeling behind.
That is not efficiency. That is tool clutter.
And tool clutter creates its own kind of drag. More logins. More learning curves. More trial periods. More decisions. More time spent testing instead of doing. More money going out the door without a clear return.
The truth is, not every AI tool deserves a place in your workflow.
Before investing in another platform, it helps to step back and ask a few simple questions.
Where do I lose time each day, week, or month?
What are the tasks I avoid because I do not enjoy them?
What skills am I missing, or what skills is my team missing?
Where could AI actually act as a resource instead of just another expense?
Those questions matter because the right tool should solve a real problem. It should reduce friction, save time, improve output, or support a gap that genuinely exists. If it is not doing one of those things, then it may just be adding more complexity to your process.
This is one of the reasons I often tell people to try before they buy.
Use the free version. Test the workflow. See whether it actually helps in a meaningful way. Do not just buy the tool because someone on LinkedIn said it changed their life. Their workflow is not your workflow. Their business is not your business. Their pain points may have nothing to do with yours.
A good AI tool should feel like relief.
It should help you move faster without lowering the quality of your work. It should reduce the mental drag of repetitive tasks. It should support your team in a way that feels practical, not flashy. And ideally, it should earn its place pretty quickly.
That is the filter.
Not whether it is popular. Not whether it is new. Not whether everyone seems to be talking about it.
Whether it actually helps.
That is also why I built my AI resource directory the way I did. Each tool sits within a category and includes a label that makes it easier to understand whether it is free, paid, or freemium. The point was not to create a giant list for the sake of it. The point was to make it easier for people to explore what is out there without wasting unnecessary time or money.
Because AI can absolutely make work better. But more tools do not automatically make you more efficient. Sometimes the smartest move is not adding another tool.
It is choosing fewer, better ones.
Want to try before you buy?
Explore my curated library of AI tools, prompts, and workflows at resources.taneilcurrie.com. Each tool is organized by category and marked as free, paid, or freemium to help you find what actually fits your needs.