
metastory AI
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metastory AI
AI-powered product management to generate requirements, user stories, and cost estimates. Connect Figma designs and sync workflows with Jira.
General Information about metastory AI
metastory AI positions itself as an advanced AI product management ecosystem specifically designed for product managers, agencies, and software development firms. This platform functions as a digital "second brain" that uses contextual intelligence to transform scattered ideas into structured, executable technical documentation. Its primary goal is to optimize the product lifecycle, from initial conception to technical delivery, ensuring that all requirements are aligned with the business vision and interface design.
At the core of the tool is its Context Engine, a motor capable of gathering information from various sources, such as uploaded documents, meeting transcripts, or designs imported directly from Figma. Based on this unified knowledge base, metastory AI automatically generates a logical hierarchy of modules, features, and sub-features. This approach allows users to maintain full control through a "human-in-the-loop" system, validating and adjusting each AI-generated element so it perfectly fits the needs of the target computer or device.
Key functional capabilities and practical benefits include:
- PRD and User Story Generation: Automates the creation of product requirement documents, including user stories and detailed acceptance criteria, in just seconds.
- UI Screen Management: Enables the organization and structuring of product interfaces, linking each visual design with its corresponding technical documentation to avoid information silos.
- AI Estimation Dashboard: Analyzes complexity and dependencies to provide time and cost predictions (Frontend, Backend, and QA) based on the MoSCoW methodology.
- Screen Reverse Engineering: The ability to analyze screenshots to automatically generate related features, facilitating the migration or improvement of existing systems.
- Reusable Libraries: Allows for storing components and requirements for use across different projects, improving consistency and delivery speed.
Technical connectivity is a fundamental pillar of metastory AI. The tool offers bi-directional synchronization with Jira, allowing users to transform requirements into work tickets and track their status without leaving the platform. Additionally, it integrates the Model Context Protocol (MCP) to facilitate data flow with external development tools and programming environments. Thanks to these features, teams can move from an idea to a detailed technical proposal with superior clarity and confidence, eliminating manual technical writing processes and ensuring that every mobile or web platform has a solid development foundation.
Features and Use Cases of metastory AI
How metastory AI Works
Frequently Asked Questions about metastory AI
What is metastory AI and how does it help product managers?
It is a contextual intelligence platform designed to automate the creation of requirements, user stories, and technical documentation, acting as a second brain for development teams and agencies.
Does metastory AI support integration with external tools?
The platform offers two-way synchronization with Jira for task management and Figma integration for importing designs and linking them directly to product specifications.
How does the AI-driven estimation system work?
The estimation dashboard analyzes the complexity of features and modules to automatically calculate labor hours and projected costs for development and QA teams.
What types of documents can I upload to metastory AI to generate content?
Users can upload text documents, meeting transcripts, or even UI screenshots, enabling the tool to automatically suggest requirements and structures.
Is there a free version available to try the tool?
The Starter plan is free forever for up to three users and allows you to manage up to three projects with access to basic requirement generation features.
What are the advantages of screen reverse engineering in metastory AI?
This feature allows you to transform any visual design into detailed technical requirements, facilitating alignment between the product vision and the documentation developers require.
How does the platform ensure consistency across different projects?
By using reusable libraries, teams can store and sync common modules or features to maintain consistency across all their software development efforts.
What is the MCP server included in metastory AI?
It is a Model Context Protocol that allows the tool to connect with external services and coding workflows to keep data synced in real time.
metastory AI Pricing
Starter
$0 per month (Free forever for up to 3 users)
- AI-powered requirements generation (user stories, acceptance criteria, and more).
- UI screen management and structuring.
- Import issues and designs from Jira and Figma.
- PRD (Product Requirements Document) export for no-code platforms.
- Public links for sharing documents with stakeholders.
- AI-driven UI screen planning.
- Limit of 3 projects and 3 members per workspace.
- Maximum of 50 total UI screens.
- 20 daily AI credit limit (approx. 600/month).
Professional
$14 per month per user ($10 per month per user billed annually)
- Includes all Starter plan features.
- Access to premium LLMs for enhanced accuracy.
- Advanced methods for requirements analysis and generation.
- Bi-directional Jira sync.
- Create up to 3 reusable requirement libraries across projects.
- Secure public links for private sharing.
- AI reverse engineering: generate features from screen uploads.
- Document analyzer to extract user story suggestions.
- Unlimited projects and 5 project containers.
- Unlimited team members.
- 200 UI screens and 1,000 additional AI credits per new team member.
Business
Custom Pricing (Available upon request)
- Includes all Professional plan features.
- AI-powered project estimation assistant (effort and costs).
- Business proposal and quote generation with digital signatures.
- Unlimited reusable libraries.
- Custom branding with your own logos and colors.
- AI knowledge base tailored to specific tools or technologies.
- Unlimited projects and project containers.
- Scalable UI screen limits and AI credits based on team size.
metastory AI Screenshots

