The intent layer between a feature and code

AI PRD Generator for Teams That Need a Build-Ready Spec

Describe a feature. Codalio turns it into a PRD with users, workflow, scope, and acceptance criteria. Read the PRD guide or continue into technical scope.

codalio · new projectprd
Output → PRD · users · scope · acceptance⌘ ↵ to start
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Users
PRD
Acceptance
The PRD names the users, the scope, and what done looks like.

Step 1

Business Need

Workflows, constraints, outcomes, stakeholder expectations.

Step 2

AI-Generated Specification

Structured requirements, acceptance criteria, edge cases — generated and validated by AI.

Step 3

Spec-Driven Code

Code grounded in a validated spec, not a freeform prompt.

Users

Defined clearly

Flows

Captured before engineering starts

Scope

Separated into v1 and later

Why a build-ready PRD matters

These signals describe what teams are looking for when their product notes are no longer enough to make engineering decisions.

Structured working doc

Replace vague product notes with a structured working document.

Shared source of truth

Give engineering and product a shared source of truth.

Fewer interpretation gaps

Move into scope and build with fewer interpretation gaps.

What a useful PRD should clarify

A useful PRD names the user, the first release, and the handoff into technical scope.

The user problem

A PRD is not a feature dump. It starts with the user, the outcome, and the constraint that gives the first release shape.

The first release boundary

The PRD should make the v1 scope and the out-of-scope list visible, so the build does not absorb every future idea.

The handoff to implementation

The document becomes more valuable when it feeds directly into technical planning, estimation, and delivery.

What the PRD should include

Users, the first-release workflow, the out-of-scope list, and a document engineering can estimate from.

User and context

User problem, audience, and context for the product.

Core workflow

Core workflow and high-priority features for the first release.

Scope and constraints

Out-of-scope decisions, constraints, and assumptions.

Structured foundation

A structured foundation that can feed into technical scope and delivery.

From a feature to a PRD

The process matters because speed without sequencing usually pushes product decisions into development. A better workflow keeps the release boundary, assumptions, and handoff logic clear from the start.

1

Capture the feature

Start from the feature in plain language: who it is for, and what done looks like.

2

Turn the feature into a PRD

Clarify users, workflow, release boundaries, and success criteria.

3

Use the PRD as the bridge into scope

The document should support estimation, sequencing, and the next build decision.

The PRD should feel usable by the team, not just generated

The quality bar is a document with clear structure, grounded assumptions, and obvious value for engineering handoff.

  • Readable structure for product, engineering, and founders.
  • Clear first-release boundaries.
  • A direct path into technical scope.

PRD workspace

Founder brief translated into shipping requirements

Product brief

  • ●Problem worth solving
  • ●Ideal user and trigger moment
  • ●Core workflow and success metric
  • ●Constraints, risks, and non-goals
  • ●First release boundary

Release scorecard

  • MVP clarity92%
  • Scope driftLow
  • Launch readinessHigh

Acceptance criteria

  • ✓Users can onboard without engineering help
  • ✓Admin can update product content in one place
  • ✓Every conversion step emits analytics events
  • ✓Deployment path is documented before handoff

Frequently asked questions

How a generated PRD differs from a template, and what happens after the document exists.

“The intent layer is the missing foundation of modern software engineering. Everything else is built on top of it.”

— Codalio Agentic Engineering workshop

Continue exploring

Next, look at how to write the PRD, the technical scope that follows it, or the app builder that uses both.

What a real PRD contains

A PRD is not a long doc. It is a structured artifact that keeps the build aligned with the business goal it came from. In a software factory the PRD is the instruction set — it is what the agents build against.

Structured Requirements

AI agents turn ambiguous business descriptions into hierarchical requirements with acceptance criteria, edge cases, and constraints.

Business-Objective Alignment

Every requirement traces back to a defined business outcome, so the build solves the right problem.

Continuous Validation

The spec is checked against the build as code is generated, flagging drift before it becomes technical debt.

Turn a feature into a buildable product document

The PRD as the first serious planning artifact in the Codalio workflow, not just a document someone fills in later.