Describe any AI tool you've seen — or one you want to make — and get a plausible build:
the front end, the back end, the models, where the data lives, what it costs to run, and honestly how much
of it is real engineering versus a thin layer over somebody else's API.
Describe what it does, not just its name — the behaviour is what determines the build.
What it actually does
The core loop
Is it a wrapper?
difficulty
rough running cost
time to a working version
Whose permission you need first
Platform approvals run on their clock, not yours — apply on day one and build the rest while you wait. Anything that spends real money should keep a human approval step, permanently.
How the pieces connect
Named tools are examples, cheapest honest route first: open source free to self-host · freemium free tier, pay as you grow · paid no real free option
Want alternatives for any of these? Our AI Tools Directory lists 1,630+ tools by category —
free, freemium and paid, curated by hand. And you can compare any two side by side.
The point of this exercise: most tools that look like magic are three or four boring pieces bolted together —
an input form, an API call, somewhere to keep the result, and a payment page. The skill isn't inventing the model.
It's picking the right pieces, and knowing which part is genuinely hard.
Read this before you quote it at anyone. This is not a complete breakdown of any real product — nobody here has seen their code, and real tools contain proprietary IP, their own data, and engineering that is invisible from the outside. What you get here is a plausible lookalike: a way you could build something that behaves the same, so you can understand how tools like this work. Generated by AI from a curated list of current technologies — prices, limits and model choices change constantly, so check anything before you commit to it.