PRDKit

What it is

PRDKit is a PRD generator with a visual habit. You chat an idea at it — or hand it your product’s URL so it can read the existing site — and it produces a structured requirements doc, then keeps going: wireframes, user flow diagrams, screen maps, and launch content like social posts and press releases. Its real differentiator is the export: it emits specs in a format tuned for AI builders (Bolt, Lovable, v0, Cursor), plus copy-paste into Notion, Confluence, or Google Docs.

Our verdict

Solid, and unusually well-aimed at how PMs actually work in 2026: the handoff from spec to AI-built prototype is where most PRD tools drop the ball, and PRDKit treats it as the point rather than an afterthought. The URL-ingest trick is genuinely useful — pointing it at your live product gives it enough context that the first draft isn’t generic filler. The free tier’s 10 credits are enough to judge it honestly before paying.

Where it falls short: it’s a small, young product and the surface area shows it — several advertised outputs (simulated reviews, press releases, demo scripts, Teams integration) are still marked “coming soon,” and the whole thing is credit-metered, so a single messy product where you regenerate the flow five times can burn your monthly allowance fast. The generated wireframes are sketch-grade: fine as a thinking aid, not something you put in front of a design review. And unlike ChatPRD it has no depth of prioritization reasoning — it documents an idea, it does not pressure-test whether the idea is worth doing.

Get value in 10 minutes

1. Sign up for the free plan and, on the first prompt, give it your product’s homepage URL rather than a description — let it pull the context itself.
2. Describe one concrete feature in two or three sentences (“let admins bulk-invite users by CSV, with a preview step before send”).
3. Generate the PRD, then immediately open the user flow view and check the screen list against your real app — it will invent screens you don’t have. Delete those before anything else.
4. Fix the acceptance criteria by hand (this is the part only you can write), then hit the LLM-optimized export and paste it straight into Bolt or v0 to see a clickable version of the flow inside the same session.