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.

TEMPLATES

Feature specification template: the format engineering leads actually want

A feature spec is not a PRD lite — it has a different purpose and audience. This template covers what engineering leads need to estimate, plan, and build without coming back with questions.

Apr 30, 2026Updated: Apr 30, 20266 min readBy Scriptonia

A feature specification answers one question: can an engineer build this without asking the PM anything? 68% of engineering re-requests trace back to spec ambiguity (Scriptonia, 2026). This template eliminates that 68% — every section exists to remove a specific class of ambiguity.

"The best feature specs read like a conversation between the PM and every engineer who will ever work on it. Anticipate the questions. Answer them in the doc. The fewer the questions at standup, the better the spec."
— Leo C., Staff Engineer at a SaaS platform company

Feature spec template (full)

Header
Feature name | Owner | Status (Draft / In Review / Locked) | Last updated | Sprint target

TL;DR (2–3 sentences)
What this feature does, for whom, and why it matters. Engineers read this first — make it scannable.

Problem statement
The specific user problem this solves. Include behavioral evidence (support tickets, user interviews, usage data). No aspirational language.

User stories
As a [specific persona], I want [specific action] so that [measurable outcome].
3–8 stories. Each story gets its own acceptance criteria below.

Acceptance criteria (per story)
Given/When/Then format. 3–5 criteria per story. Explicitly include negative paths (what happens on failure, empty state, permission denied).

Edge cases
At least 5. For each: scenario + expected system behavior. This is the section that prevents 2am production incidents.

Out of scope
Explicit list of what this feature does NOT include. As important as the in-scope list.

Technical notes
PM-visible technical constraints: rate limits, existing API contracts, performance targets. Not architecture prescriptions — those go in the tech lead's separate architecture doc.

Dependencies
External system | Owner | Status | Blocking or non-blocking

Open questions
Question | Owner | Deadline
Unresolved questions must be resolved before sprint planning, not during development.

Success metrics
Metric | Baseline | 30-day target | 90-day target
At least one metric measurable within 2 weeks of launch.

How to use this template with AI

Scriptonia generates all sections of this template from a plain-language feature description. Input: 2–4 sentences covering the user, the problem, and the core behavior. Output: a complete spec draft ready for PM review and engineering sign-off.

Frequently asked questions

What is a feature specification?

A feature specification is a document that fully describes a single feature's requirements in enough detail for an engineer to implement it without needing to ask the PM clarifying questions. It differs from a PRD in that it focuses on a specific feature rather than a product initiative and is written for engineering consumption rather than stakeholder alignment.

What's the difference between a feature spec and a PRD?

A PRD (Product Requirements Document) covers a product initiative: problem context, strategic rationale, multiple user stories, and business metrics. A feature spec focuses on a single feature: precise acceptance criteria, edge cases, technical constraints, and implementation-ready detail. A PRD informs what to build; a feature spec informs how to build it correctly.

How detailed should a feature spec be?

Detailed enough that the spec resolves the questions an engineer will have during implementation — without being so prescriptive that it specifies implementation details that engineering should own. The test: hand the spec to an engineer who has never heard of the feature and ask if they can write acceptance tests from it. If they can, it's detailed enough.

Who owns the feature specification?

The PM owns the feature specification. Engineering contributes technical constraints, validates feasibility, and may identify additional edge cases. Design contributes interaction logic for UI features. The PM signs off on the final spec before it enters sprint planning.

Can I use AI to write a feature spec?

Yes. Scriptonia generates a full feature spec from a 2–4 sentence description of the feature. AI is particularly strong at generating acceptance criteria and edge cases — the sections that prevent rework. Review the output for: accuracy of the problem statement, realism of success metric targets, and coverage of product-specific edge cases.

Try Scriptonia free

Turn your next idea into a production-ready PRD in under 30 seconds. No account required to start.

Generate a PRD →

← All articles