The AI tool landscape is moving so fast right now that it almost feels impossible to keep up.
Every day there seems to be another launch, another trending app, another post about the latest platform that promises to save time, replace a workflow, or change the way we work. Some of them are genuinely useful. Some are impressive for about five minutes. Some overlap so heavily with other tools that it becomes hard to know what is actually worth trying and what is just adding to the noise.
That is exactly why I started building my AI tool directory.
At first, it was not some grand plan. It was much more practical than that. I was already testing tools, saving links, making notes, and trying to keep track of what each one was actually good for. What category does it belong in? Is it useful for writing, research, design, video, SEO, workflow automation, or something else entirely? Is it free, paid, or freemium? Is it something I would actually recommend to someone, or just another tool with good marketing?
The more I explored, the more obvious the need became.
There are now hundreds of tools in the market, and they are not all solving the same problem. Some are strong for content. Some are better for video. Some are helpful for image generation, productivity, search, automation, or website work. But when everything starts blending together, it becomes much harder for people to figure out where to begin.
That is the real problem.
It is not just that there are too many tools. It is that too many people are spending time bouncing between tabs, trying free trials, watching demos, and second-guessing what is actually worth their time. For a business owner, a marketer, or a small team already trying to keep up with everything else, that can become a job in itself.
So I decided to organize it.
What I am building is not just a giant list for the sake of having one. The point is to create something practical. A place where people can quickly browse tools by category, understand what they are best used for, and see whether they offer a free tier, a freemium model, or are paid only. Right now the hub includes sections for AI tools, prompts, with over 100 AI tools organized across categories like video, content, design, SEO, productivity, website, marketing, and more.
That matters because not everyone needs the same thing.
A founder may be looking for something that helps them write better content or save time on admin. A marketer may need tools for SEO, video, or creative production. A team may be more interested in automation workflows, internal productivity, or research support. When all of those needs get flattened into “best AI tools,” the advice becomes far less useful.
Something that helps people explore without feeling overwhelmed. Something that saves them from wasting unnecessary time or money. Something that makes it easier to find the right fit instead of just the loudest tool in the room.
Not because I have all the answers, and definitely not because one person can keep up with everything perfectly, but because we are at a point where the volume itself is becoming part of the problem. The more AI tools appear, the more useful it becomes to have some kind of filter. Some kind of structure. Some way to separate what looks exciting from what may actually be useful in real work.
It is not meant to tell people what they have to use. It is meant to make discovery easier. To help people move from curiosity to usefulness a little faster. To create a place where someone can explore tools for writing, search, video, image generation, automation, or strategy without starting from scratch every single time.
Because the truth is, AI can absolutely be helpful. But trying to navigate the ecosystem without any structure can become its own kind of friction.
And that is the gap I am trying to solve.
Browse my curated collection of AI tools, prompts, automations, and free courses at resources.taneilcurrie.com.