top of page

PRD Agent - An AI-Powered Product Requirement Document Generator

AI-Powered tool for Product Requirement Documents (PRDs).

LEANWARE TEAM

3 x Full Stack Developers, Tech Lead, Product Designer

PRD Agent - An AI-Powered Product Requirement Document Generator

COMPANY

Software Development & AI

SERVICE

United States

COUNTRY

Dedicated Team

ENGAMENT MODEL

CLIENT OVERVIEW

Leanware created PRD Agent to help product managers streamline the process of writing Product Requirement Documents (PRDs). PRD Agent leverages AI to generate comprehensive PRDs tailored to specific product features and requirements, saving time and ensuring clarity in product development.



Problem Statement

Writing a well-structured PRD is a time-consuming and complex task. Product managers must balance technical details, business objectives, and user needs while maintaining clarity for engineering teams. Many product teams struggle with:

  • Lack of standardization in PRDs

  • Inconsistencies between product vision and execution

  • Time-consuming manual document creation



The Solution: PRD Agent

Leanware designed PRD Agent as an AI-driven tool to generate PRDs based on user inputs. Users provide details about their feature or product, and the tool outputs a structured, well-organized PRD that can be immediately used in the development process.

React + Tailwind CSS for a user-friendly interface, Python + Flask for handling requests, OpenAI’s API for generating PRD content, Google and Microsoft sign-in for secure access.

Tech Stack Involved

Development Process 


1. Defining Requirements

Leanware’s team interviewed product managers to understand key PRD challenges. These insights shaped PRD Agent’s core functionality, ensuring the tool addressed real-world pain points.



2. Selecting the AI Model

To generate high-quality PRDs, Leanware leveraged OpenAI’s GPT-based models. The team fine-tuned the AI with:

  • Industry-standard PRD templates

  • Best practices from top product managers

  • Real-world examples to improve AI-generated accuracy



3. Building the Web Application: Tech Stack

PRD Agent was built as a web-based application using React for the frontend and Python for backend processing: 

  • Frontend: React + Tailwind CSS for a user-friendly interface

  • Backend: Python + Flask for handling requests

  • AI Integration: OpenAI’s API for generating PRD content

  • Authentication: Google and Microsoft sign-in for secure access



4. Implementing User Journey

PRD Agent was designed to be intuitive:

  1. Users enter key details about the product or feature.

  2. The AI generates a structured PRD in real-time.

  3. Users can review, edit, and download the PRD.

  4. Before downloading, users have the option to request a project quote from Leanware.


5. Testing and Optimization

After an initial beta launch, Leanware gathered feedback to refine the AI’s output. Adjustments were made to improve:

  • PRD structure and formatting

  • Relevance of AI-generated content

  • User experience and speed

SERVICES PROVIDED

UX & UI DESIGN

  • Time Savings: Users generate PRDs in minutes instead of hours.

  • Standardization: PRDs follow best practices, reducing miscommunication.

  • Increased Engagement: PRD Agent serves as a lead-generation tool, connecting Leanware with potential clients interested in software development services.



Future Enhancements

Leanware plans to enhance PRD Agent with:

  • Customizable templates for different industries

  • Integration with popular product management tools (Jira, Confluence)

  • Advanced AI improvements for more precise PRD generation



Conclusion

PRD Agent simplifies and accelerates the PRD creation process for product managers. By combining AI with practical industry insights, Leanware successfully developed a tool that not only boosts productivity but also serves as a gateway for potential client engagements.

From Blueprint to Delivery

RESULTS

We love to take on new challenges, tell us yours.

We'll get back to you in 1 day business tops

Got a Project in Mind? Let’s Talk!

bottom of page