How I generate 40 task PRDs from a single document

Half a day, gone

I used to spend four to five hours writing PRDs for a new feature set. Open a blank doc, stare at it, type "Task: implement auth middleware," then realize I need to define the token format first, which means I need the user model, which means I need the database schema, which means...

You get the idea. The dependency chain alone ate an hour before I even started writing the actual requirements.

The document you already have

Here's something I noticed after doing this a dozen times: I already had the information. It was sitting in a README, a design doc, a Notion page, or (honestly) a long Slack thread I'd copy-pasted into a text file. The knowledge existed. I was just manually translating it into structured tasks.

That felt wrong.

Last October I was building a payments integration for a client project. I had a 3-page spec covering the Stripe flow, webhook handling, receipt emails, and refund logic. I sat down to break it into tasks and caught myself essentially rewriting the spec in a different format. Same information, different shape. Pure busywork.

Paste it in, let the agent read it

The Generate from Brief flow in Zowl works like this:

1. You paste a document. Could be a project spec, a README, a design doc, even meeting notes.
2. The agent reads the full thing and identifies every discrete task it can extract.
3. Before generating anything, it asks you questions about gaps it found.
4. You answer (usually 2-5 questions, takes a couple minutes).
5. It generates individual PRDs for every task, with dependency links between them.

That's it. No templates to fill out. No dragging cards around.

The questions are the best part

Honestly, the questions surprised me the first time. I pasted my payments spec and expected the agent to just spit out tasks. Instead it came back with:

"Your spec mentions webhook signature verification but doesn't specify a retry strategy for failed webhook processing. Should failed webhooks be retried with exponential backoff, stored for manual replay, or both?"

"The refund flow references 'partial refunds' but the data model section only shows a boolean refund status. Do you need a refund_amount field and a refund history table?"

"Authentication for the webhook endpoint: are you using Stripe's signature verification only, or do you also want IP allowlisting?"

I hadn't thought about two of those three things. The partial refund one would have bitten me mid-implementation and cost me a schema migration. The agent caught it because it was reading the whole document as a system, not just scanning for action verbs.

Hot take: an AI that asks you 3 hard questions before starting work is more useful than one that silently generates 40 tasks full of assumptions. Most tools optimize for speed of output. I'd rather wait 90 seconds and get tasks that don't have holes in them.

Before and after

Before, my task list for that payments project looked like this:

Tasks: 0
PRDs written: 0
Time spent staring at blank doc: 45 minutes
Estimated time to finish all PRDs: 4-5 hours

After pasting the spec and answering 3 questions:

Tasks generated: 38
PRDs with full acceptance criteria: 38
Dependencies mapped: 24 cross-task links
Time spent: ~12 minutes (including reading + answering questions)

Each PRD came out with a title, description, acceptance criteria, dependencies (which tasks must complete first), and estimated complexity. Not perfect every time. I usually tweak 5-10% of them, rename a few tasks, merge a couple that were too granular. But that's editing, not writing from scratch. Editing takes 20 minutes. Writing from scratch takes half a day.

What the generated PRDs actually look like

A single PRD from that batch looked roughly like:

Task: Implement Stripe webhook endpoint
Dependencies: [Create payment intent flow], [Define order status enum]
Complexity: Medium

Description:
Create POST /api/webhooks/stripe endpoint that receives
Stripe webhook events, verifies signatures, and updates
order status based on event type.

Acceptance Criteria:
- Verifies webhook signature using STRIPE_WEBHOOK_SECRET
- Handles payment_intent.succeeded → order status "paid"
- Handles payment_intent.failed → order status "failed"
- Handles charge.refunded → order status "refunded"
- Failed verification returns 400
- Logs all received events for debugging
- Returns 200 within Stripe's timeout window

The dependency links matter more than they look. When you feed these into a pipeline, the orchestrator knows it can't start the webhook task until the payment intent flow and order status enum are done. That ordering used to live in my head. Now it's explicit.

It works with messy input too

I've thrown all kinds of documents at it. A clean RFC with numbered sections. A rambling Google Doc with bullet points and screenshots (it ignores the screenshots, obviously). A GitHub issue thread I exported. Even a voice memo transcript that I ran through Whisper.

The messier the input, the more questions it asks. Which makes sense. A polished spec has fewer gaps. A raw brain dump needs clarification. The agent scales its question-asking to match how much ambiguity it finds.

One time I pasted in a competitor's public API docs because I was building a compatible integration layer. It generated 52 tasks covering every endpoint. Bit aggressive on granularity (I merged some), but it saved me from missing obscure endpoints I would've forgotten about.

Why I stopped writing PRDs by hand

Look, I'm not saying PRDs are useless. They're the opposite. A good PRD prevents you from building the wrong thing. The problem was never the PRD itself. It was the time cost of producing them.

When PRDs take half a day to write, you skip them for "small" tasks. Then those small tasks turn into medium tasks with unclear scope. Then you're refactoring because you didn't think through the edge cases.

Now the cost is 12 minutes. So everything gets a PRD. The 2-hour task gets one. The "quick fix" gets one. And my implementation quality went up because I stopped winging it on tasks I thought were simple.

I built this flow into Zowl because I was tired of being the bottleneck between "we know what to build" and "the agents have clear instructions." The spec already existed. The tasks were hiding inside it. I just needed something smart enough to pull them out and honest enough to tell me what was missing. For more on why most PRDs suck and how to fix that, see your PRD sucks. And if you want to see PRD templates that work well with agents, check out PRD templates for AI agents. When you're ready to automate this entire process, Zowl can handle the generation and dependency mapping.