Scriptonia is an AI-native product management workspace that turns rough ideas into production-ready PRDs, architecture blueprints, and engineering tickets in under 30 seconds. It is often described as the 'Cursor for Product Managers.' It is designed for product managers, founders, engineering leads, and startup teams.

How fast does Scriptonia generate a PRD?

Scriptonia generates a complete PRD — including objective, problem statement, user stories, success metrics, technical requirements, and timeline — in under 30 seconds using frontier AI models.

Does Scriptonia integrate with Linear, Notion, and Jira?

Yes. Scriptonia exports directly to Linear, Notion, GitHub Issues, Jira, Confluence, and Slack. It can also export to Markdown for use with any other tool.

Is there a free plan?

Yes. Scriptonia's free plan includes 30 credits per month, unlimited PRDs, Markdown export, and a public share link. No credit card required. You can also try it without creating an account at scriptonia.dev/try.

What AI models does Scriptonia use?

Scriptonia Pro and Team plans give access to multiple frontier AI models including Claude Sonnet (Anthropic), Gemini 2.5 Flash (Google), Grok 4 (xAI), DeepSeek R1, and Kimi K2. The free plan uses Grok 4 Fast.

Who is Scriptonia for?

Scriptonia is built for product managers, founders, engineering leads, and startup teams who need to move from idea to specification quickly. It removes the hours of manual writing that traditionally goes into a PRD.

A PRD (Product Requirements Document) is a specification that describes the purpose, features, functionality, and behavior of a product to be built. Scriptonia automatically generates structured PRDs from plain-language product ideas.

How to write a PRD for an API product or developer feature

An API PRD's primary audience is developers — and developers evaluate specs on precision, not narrative. The most common API PRD failure: over-specifying the implementation and under-specifying the contract. Developers need to know exactly what the API will do, not how the backend is built.

"A good API PRD reads like the reference documentation the developer will eventually use. If you can publish the PRD as a draft API reference with minimal editing, it's specific enough."
— Yuki T., Developer Relations at a B2B API company

What's different about API PRDs

The user is a developer, not an end user. User stories should reflect developer workflows: "As a developer integrating [product] into my app, I want to retrieve paginated user events so that I can build activity feeds without hitting rate limits."

Success metrics are developer-focused. SDK adoption rate, time-to-first-successful-API-call, API error rate, developer documentation satisfaction score.

Edge cases are technical. What happens at the rate limit? What response format does an auth error return? How does the API handle malformed payloads? What's the retry behavior on 5xx responses?

API-specific PRD sections

API contract summary: Endpoint names, HTTP methods, request/response schemas (draft — not final, but enough to validate scope). This doesn't go in a standard PRD but is essential for API products.

Rate limits: Per-minute, per-hour, and per-day limits for each endpoint. What response code and body are returned when limits are exceeded?

Authentication: Which auth methods are supported (API key, OAuth, JWT). What's the token expiry? What happens when a token expires mid-request?

Versioning: Is this a new API version? What's the deprecation policy for the previous version? What breaking changes are included?

API edge cases to always document

Edge case	Expected API behavior
Rate limit exceeded	429 status, Retry-After header, error body with limit details
Malformed request payload	400 status, error body with field-level validation messages
Expired auth token	401 status, error body specifying token type and renewal endpoint
Empty result set	200 status with empty array, not 404
Pagination boundary	Last page returns empty next_cursor, not an error

Success metrics for API products

Standard API success metrics: time-to-first-successful-call (target: under 30 minutes for a new integration), 7-day developer activation rate (% of developers who make 10+ API calls within 7 days of first call), API error rate (target: under 0.5% of production requests), and documentation satisfaction (NPS or CSAT from developer onboarding survey).

Frequently asked questions

What is an API PRD?

An API PRD is a product requirements document for a developer-facing API or developer feature. It differs from a standard PRD in that the primary user is a developer (not an end user), success metrics focus on developer adoption and API reliability, and edge cases center on technical error conditions (rate limits, auth failures, malformed payloads) rather than UI error states.

What sections should an API PRD include?

In addition to the standard 10 PRD sections: API contract summary (endpoint names, methods, draft request/response schemas), rate limit specification (per endpoint), authentication requirements and error handling, versioning and deprecation policy, and developer success metrics (time-to-first-call, activation rate, error rate).

How do you write user stories for an API product?

API user stories use a developer persona: 'As a developer integrating [product] into my mobile app, I want to retrieve paginated user events so that I can build activity feeds without loading all historical data.' The action should describe an API call, not a UI interaction. The outcome should describe what the developer's application can now do.

What are the most important API edge cases to document?

The critical API edge cases: rate limit behavior (response format, Retry-After header), authentication failures (401 vs. 403, token renewal flow), malformed payloads (400 with field-level errors), empty result sets (200 with empty array, not 404), and pagination boundaries (last page behavior). These are the cases that cause developer integration failures at 2am.

How do you measure success for an API product?

The primary metrics: time-to-first-successful-API-call (how long a new developer takes to make their first successful call), 7-day activation rate (% making 10+ calls within 7 days), API error rate (production error rate as % of total requests), and developer documentation NPS. Define baselines and targets in the PRD before development starts.