Hands-on breakdowns and plain-language explainers from The Review NYU. We test the AI tools everyone is talking about — then tell you what actually holds up in real work, with no sponsored rankings and no AI-generated filler.
Every article is based on real, repeatable use — and stamped with the date we last checked it.
We ran the leading AI writing assistants through the same brief. Here's what actually produced publishable work — and what needed babysitting.
Copilots and coding agents put through real bug-fix and feature tasks — graded on correctness and review friction, not polished demos.
Foundation models, tokens, context windows, agents, RAG — the concepts behind today's AI tools, in plain language for non-experts.
Get our hands-on take on the tools worth your time — and the ones that aren't.
Back to home