PRODUCT PLANNING
How to Write an Agent-Ready PRD
Learn how to write a clear PRD that helps an AI coding agent build the right product, with scope, workflows, constraints, and acceptance criteria.
6 MIN READ
Here’s the short version: if your product brief leaves room for guessing, your AI coding agent will guess.
And sometimes it will guess well. Other times, it will spend hours building a polished version of a product you did not actually ask for.
That is why you need an agent-ready PRD: a clear brief that says who the product is for, what they need to get done, what belongs in version one, and what can wait.
Think of your PRD as the difference between saying “make me a house” and handing someone a floor plan.
What is an agent-ready PRD?
An agent-ready PRD is a product requirements document written for a coding agent to act on.
It gives the agent the product decisions it cannot safely make for itself. The agent can decide whether a button belongs in a modal or on a page. It should not have to decide whether your app is for freelancers, agencies, or enterprise finance teams.
Your PRD should answer these six questions:
- Who is this for?
- What problem are they trying to solve?
- What is the one job the first version must help them finish?
- What features are included in V1?
- What is definitely not included yet?
- How will you know the build is done?
That’s the whole game. Clear decisions in. Better product out.
Start with one real user
“Small businesses” is not a user. It is a crowd.
A solo designer who sends a few invoices a month has very different needs from a 20-person agency with an accounting team. If you try to serve both in V1, your product gets messy fast.
Get specific instead.
Use this simple format:
User: [specific role or person]
Problem: They need to [do something] but [a clear obstacle gets in the way].
Current workaround: They currently use [a manual process, tool, or nothing].
For example:
User: A solo product designer working with a handful of clients.
Problem: They need to collect clear feedback on design work, but comments are scattered across email, Slack, and calls.
Current workaround: They copy feedback into a manual checklist.
Now you have a person, a frustrating problem, and a starting point. Every feature can be judged against one question: does this help that person get feedback out of the mess and into one place?
Define the one workflow that matters most
Most first-time PRDs start with a feature list:
- Dashboard
- Login
- Comments
- Notifications
- Analytics
But it does not explain how a user gets from “I have a problem” to “problem solved.” Your agent needs the path, not just the pieces.
For the feedback app, the critical workflow could be:
- A designer creates a project.
- They add a design link.
- They invite a client.
- The client opens the link and leaves feedback.
- The designer sees the feedback in one place and marks each item resolved.
You can also add important rules directly below the workflow:
- Clients can leave feedback without creating an account.
- Feedback belongs to a project, not a precise point on a design canvas in V1.
- Only the project owner can resolve feedback.
These small decisions stop a coding agent from inventing a bigger system than you need.
Scope your MVP before the agent scopes it for you
This is where many product ideas quietly turn into a monster.
You ask for a simple feedback tool. Then someone adds team roles. Then notifications. Then AI summaries. Then Slack. Then permissions. Then an analytics dashboard nobody asked for.
Take a breath. Your V1 has one job: help the user complete the core workflow.
Here is what a sensible scope split could look like:
| Include in V1 | Save for later |
|---|---|
| Create a project | Project templates |
| Invite one client | Multiple team roles |
| Submit and resolve feedback | AI feedback summaries |
| Email notification for new feedback | Slack, Teams, and webhooks |
| Basic project list | Reporting dashboard |
Here is a question worth keeping nearby: if we remove this feature, can the user still complete the main job?
If the answer is yes, it probably does not need to be in V1.
Add the constraints that actually matter
Your agent does not need every technical detail upfront. But it does need to know the boundaries.
Call out things like:
- Platform: Is this a web app only? Mobile-friendly? Native mobile later?
- Authentication: Do users need accounts? Can invited guests use a link?
- Existing systems: Is there already a database, API, repository, or design system?
- Required integrations: Does V1 need Stripe, Google Calendar, email, or none of the above?
- Data and privacy: What should be stored? What should never be collected?
- Risk: Does the product touch payments, health data, tax, legal work, or security?
Be direct about unknowns too.
For example: “Payment provider is not chosen. Use a fake paid/unpaid state in V1.”
If your product touches money, medical information, or compliance-heavy work, keep the first version narrow. A working interface is not the same thing as a production-ready system.
Define “done” so nobody has to guess
“Make it clean and easy to use” is good feedback. It is not a testable requirement.
Instead, write down what must be true when the work is complete.
For the feedback app:
- A signed-in designer can create a project with a name and design link.
- The designer can create an invite link for a client.
- A client can submit feedback without an account.
- The designer can see feedback for each project and mark it resolved.
- One designer cannot see another designer’s projects.
- A new user sees a clear empty state instead of a blank screen.
That gives you and the coding agent a concrete checklist.
Let the agent choose the implementation details
Tell the agent what must happen. Let it propose how to make it happen.
Good:
Store projects, invitations, feedback, and resolution status. Keep each designer’s data private.
Too prescriptive, unless you already have a strong reason:
Use these four database tables, this endpoint naming pattern, and this exact component structure.
OpenAI’s Codex documentation explains that Codex reads AGENTS.md instructions before work, including project-specific guidance. Use that file for repository rules and testing expectations; use your PRD for product decisions.
Copy this PRD template
Product:
[One-sentence description]
Target user:
[Specific role or person]
Problem:
[What they need to do and what makes it difficult now]
V1 outcome:
[What the user can successfully accomplish]
Critical workflow:
1.
2.
3.
4.
Include in V1:
-
-
-
Out of scope for V1:
-
-
-
Constraints:
[Platform, existing systems, integrations, data, and safety requirements]
Definition of done:
-
-
-
Before you hand it to an AI coding agent, read it as the user, then as the builder. Is the job clear? Is it obvious what to build, leave out, and test? If yes, you are ready to build.
Turn your rough idea into a buildable brief
Not sure where to start? Use the HackTick AI PRD Generator to turn a product idea into a clearer implementation brief before you ask an AI coding agent to build it.