DraftlizeVOL. 1 · 2026 EDITION
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Product · AI PRD

AI can write the PRD.
Keeping it true is the hard part.

Generating a PRD with AI is a solved problem — a dozen tools will draft one from a prompt in seconds. But a PRD isn't done the day it's written; that's the day it starts to drift. The product moves, a decision changes, and the doc that read perfectly on Monday is quietly wrong by Friday — and nobody knows which paragraph went stale. Draftlize handles the part the generators skip: it turns every decision in your PRD into an addressable card, so when one changes, everything that depended on it flags itself stale — and the agent always reads the version that's still true.

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TL;DR

Generating a PRD vs keeping one alive.

An AI PRD generator hands you a polished document and walks away. From that moment it's a snapshot — every decision change makes it a little more wrong, and nothing tells you which part. Draftlize is built for the long tail after the first draft, where the actual cost lives.

DraftlizeA typical AI PRD generator
First draft from a promptYes — drafted into structured cardsYes — drafted as one prose doc
What you get backDecisions, specs, dependencies as cardsA wall of Markdown
A decision changes next weekDependents auto-flag staleRegenerate from scratch, lose your edits
Which paragraph is now wrong?The stale cards tell youYou re-read the whole thing
Can an AI agent read it back?Native read + write via MCPOnly the text you paste in
Six PRDs sharing one decisionOne card, cited from all sixSix copies that drift apart

Why the generated PRD drifts.

I

Generation is day one of a long life

The PRD you generate on Monday is the easy 10%. The hard 90% is the weeks after — when scope shifts, a constraint loosens, a metric gets renamed. The generator was never there for that part; it shipped you a document and moved on.

II

A prose doc can't know what changed

When you change the pricing decision, the three requirements that assumed the old price are now wrong. But a Markdown file has no idea those sentences are connected — so they sit there reading as truth until someone trips over them in review.

III

Re-generating throws away your thinking

When the PRD drifts far enough, the generator's only answer is "generate it again" — which discards every edit, comment, and hard-won decision you made by hand. You're not maintaining a document; you're reprinting it and hoping.

From generating a PRD to maintaining one.

I

Draft into cards, not into a wall of text

Draftlize still drafts your PRD with AI — but it lands as structured cards: each decision, requirement, and open question is its own addressable unit, with its rationale and dependencies attached. The same first draft, in a shape that can be maintained instead of just re-printed.

II

Change one decision, dependents flag stale

Every card declares what it depends on. Change the pricing decision and every requirement built on it turns stale automatically — the way a build system invalidates everything downstream of a changed file. The drift stops being silent.

III

The agent always reads the current version

Claude Code or Cursor reads your PRD through MCP — and reads the live cards, not a stale paste from last week. It writes back too, so the next decision lands as a card the rest of the PRD can depend on. The document and the agent stay in sync by construction.

Other AI PRD tools help you write it. Draftlize keeps it from rotting after you do.
Generating the first draft is the easy part — staying true to it is the work.
FAQ

Common questions.

What is an AI PRD?

An AI PRD is a product requirements document drafted with an AI model from a short prompt or a few notes, instead of written by hand from a blank page. Most AI PRD tools generate the document in seconds. The harder part is the weeks after: once the product moves and a decision changes, the generated document drifts out of date and nothing tells you which part.

What is the best AI PRD generator?

The right tool depends on what you need after the first draft. If you only need a one-time draft, most AI writing tools produce one. If you need the PRD to stay correct as decisions change, you want the requirements stored as linked units rather than one prose blob — Draftlize drafts into addressable cards so that when a decision changes, every dependent requirement flags itself stale.

Can ChatGPT write a PRD?

Yes — ChatGPT or Claude will draft a reasonable PRD from a good prompt. The limitation is not the writing, it is the memory: a chat has no persistent, addressable state, so the next session does not know what the last one decided, and the document it produced starts drifting the moment you paste it into a doc.

How is Draftlize different from an AI PRD generator?

A generator hands you a finished document and walks away. Draftlize is built for the long tail after the first draft: every decision in the PRD becomes a card an AI agent reads and writes over MCP, so when one changes, everything that depended on it auto-flags stale and the agent always reads the version that is still true.

Write your PRD with AI — then keep it true.

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Draft a PRD from a prompt, let it land as cards, and let the agent keep every decision — and everything that depends on it — current as the product moves.

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Use this template

Open this template as live cards.

One click creates a project with these exact sections as typed, linked cards. Answer them with the agent — and when a decision changes later, every dependent section flags stale instead of silently drifting. $5 free credit on signup, no card required.

PRDs & specs