A category says what kind of project it is. A tag says what it involves — RAG, fine tuning, scraping, vector search — and one project can carry several.
Every tag with a peek at the projects carrying it. Sort by size or jump straight to a letter.
Search every project at once and narrow it by difficulty, type, cost, licence and technology — the whole catalogue on one screen.
A category files a project once by what it is. Tags follow it everywhere by what it is for — one project, several jobs, every job a page of its own.
A category says what a project is. A tag says what it is for — and that cuts straight across every category at once, so you can start from the job instead of guessing the shelf.
A project is filed under exactly one category, but it can carry as many tags as it earns. That is what lets the same project turn up under every job it actually does.
Every number on this page is counted live from published projects, each one counted once. Nothing is read from a stored total that an archived row would leave behind.
Each card shows the projects actually behind the tag, by name, before you open it — so an empty shelf is visible from here rather than one click later.
Tags are chosen by an editor while the project is being reviewed, in the AI Projects editor — never scraped from a keyword list — so a tag means the project really does that job.
A tag with nothing behind it yet stays on the page and says so. A zero here is a job we have not filled, not one we are hiding from the list.
How the projects are organised, what the counts mean and where to go when nothing fits.
Still have a question? We usually reply within one working day. Report Issues A broken tool or a missing page? Tell us. Submit your AI tool Add your AI tool to our directory.We use cookies to enhance your browsing experience, analyze site traffic, and personalize content.
You can change your cookie preferences anytime. Learn more