Agent‑First PRD Card: A 1‑Page Spec That Becomes Searchable, Contract‑Ready Feature Artifacts

An Agent‑First PRD Card is a single, focused page with structured fields designed so each field can be translated directly into machine-readable outputs: an OpenAPI operation stub for the API surface, a JSON‑LD SoftwareApplication feature card for discoverability, and Gherkin-style acceptance tests for deterministic verification. Instead of burying the important bits inside long narratives, the card treats the PRD as canonical input to both humans and automation.

This matters for two practical reasons. First, AI agents and internal search systems work best when product capabilities are represented as structured data (schema.org's SoftwareApplication and featureList are explicitly designed for this). Second, contractors onboarding from a single card can run with an OpenAPI stub and acceptance tests — reducing ambiguity, fewer follow-up meetings, and faster delivery.

Use the following minimal fields on the card. Each line is intentionally short so mapping logic (manual or automated) can emit a JSON‑LD property, an OpenAPI path/operation, or a Gherkin scenario. Keep language precise: prefer noun phrases for names, and Given/When/Then phrasing for acceptance lines.

How fields map to artifacts: Name -> SoftwareApplication.name and featureList item; Short Description -> JSON‑LD description and OpenAPI summary; API Surface -> OpenAPI path + method + parameters; Inputs/Outputs -> OpenAPI requestBody/response schema and example; Acceptance Criteria -> Gherkin scenarios (Given/When/Then).

Example (short): Feature Name: "Share snippet to team channel"; Short Description: "Allow users to share saved text snippets to a team chat channel via POST /api/v1/snippets/{id}/share"; API Surface: POST /api/v1/snippets/{id}/share (bearer token); Inputs: channel_id (string), notify (boolean); Outputs: 202 Accepted with shareId.

Machine outputs you generate from that card: OpenAPI stub with paths:/api/v1/snippets/{id}/share -> post (parameters: path id, body: channel_id, notify) plus response schema; JSON‑LD SoftwareApplication featureList entry that names the feature, links to the endpoint or docs, and includes a succinct description; Gherkin acceptance tests with Given (a user with token and snippet exists), When (POST share), Then (202 and share record created).

Start small and automate the mappings. You don't need a full generator on day one — a simple script that consumes a YAML/JSON card and emits an OpenAPI YAML file, a JSON‑LD snippet, and Gherkin text is enough. Tools and references: use the OpenAPI guidance for paths/operations to keep stubs valid, and follow schema.org's SoftwareApplication fields for JSON‑LD correctness.

Validation matters. Validate OpenAPI with an OpenAPI linter/validator and validate JSON‑LD by checking with Google’s structured data tools or any JSON‑LD linter. For acceptance tests, use a standard Gherkin runner (Cucumber, Behave) so your scenarios are executable in CI. Over time, add a lightweight editor/UI that lets PMs fill the card and emit artifacts automatically.

A contractor reading a single card with an attached OpenAPI stub and executable acceptance tests can estimate and implement the feature without chasing product context. The OpenAPI stub defines the surface area and types; Gherkin scenarios define success criteria; the JSON‑LD feature card makes the capability searchable on your site and discoverable to agents that index feature metadata.

For product teams, the ROI is lower onboarding time, fewer clarifying tickets, and deterministic acceptance. For discoverability, marking up your product pages with SoftwareApplication and featureList signals capabilities to search engines and AI agents that rely on structured metadata when surfacing tool recommendations or composing chains of actions.