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Generate PRDs and test scenarios with GPT/Claude and PDF export

Alok KumarAlok Kumar
831 views
2/3/2026
IntegrationNotionHTTP RequestDatabaseAPI
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📒 Generate Product Requirements Document (PRD) and test scenarios form input to PDF with OpenRouter and APITemplate.io

This workflow generates a Product Requirements Document (PRD) and test scenarios from structured form inputs. It uses OpenRouter LLMs (GPT/Claude) for natural language generation and APITemplate.io for PDF export.

Who’s it for

This template is designed for product managers, business analysts, QA teams, and startup founders who need to quickly create Product Requirement Documents (PRDs) and test cases from structured inputs.

How it works

  1. A Form Trigger collects key product details (name, overview, audience, goals, requirements).
  2. The LLM Chain (OpenRouter GPT/Claude) generates a professional, structured PRD in Markdown format.
  3. A second LLM Chain creates test scenarios and Gherkin-style test cases based on the PRD.
  4. Data is cleaned and merged using a Set node.
  5. The workflow sends the formatted document to APITemplate.io to generate a polished PDF.
  6. Finally, the workflow returns the PDF via a Form Completion node for easy download.

⚡ Requirements

  • OpenRouter API Key (or any LLM)
  • APITemplate.io account

🎯 Use cases

  • Rapid PRD drafting for startups.
  • QA teams generating test scenarios automatically.
  • Standardized documentation workflows.

👉 Customize by editing prompts, PDF templates, or extending with integrations (Slack, Notion, Confluence).

Need Help?

Ask in the n8n Forum!

Happy Automating with n8n! 🚀

8073-generate-prds-and-test-scenarios-with-gptclaude-and-pdf-export

This n8n workflow provides a structured way to interact with AI models, specifically through the OpenRouter service, to generate content. It uses a form trigger to initiate the process and includes data manipulation and PDF generation capabilities.

What it does

This workflow automates the following steps:

  1. Triggers on Form Submission: The workflow starts when an n8n form is submitted, collecting initial input from the user.
  2. Initial Data Setup: An "Edit Fields (Set)" node is used, likely to prepare or transform the input data for subsequent AI processing.
  3. AI Content Generation: A "Basic LLM Chain" node, powered by an "OpenRouter Chat Model," is used to generate content based on the prepared input. This indicates the workflow leverages large language models for creative or analytical tasks.
  4. PDF Generation: The generated content is then passed to an "APITemplate.io" node, which is capable of creating PDF documents, suggesting the output of the AI model is formatted into a professional document.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance to import and execute the workflow.
  • OpenRouter Account & API Key: For the "OpenRouter Chat Model" to access various large language models.
  • APITemplate.io Account & API Key: To generate PDF documents from the AI-generated content.

Setup/Usage

  1. Import the workflow: Download the provided JSON file and import it into your n8n instance.
  2. Configure Credentials:
    • Set up your OpenRouter API Key credential within n8n.
    • Set up your APITemplate.io API Key credential within n8n.
  3. Activate the workflow: Ensure the workflow is active to listen for form submissions.
  4. Access the n8n Form: Use the URL provided by the "n8n Form Trigger" node to access and submit the form, initiating the content generation process.
  5. Customize:
    • Modify the "Edit Fields (Set)" node to preprocess or structure your input data as needed for the AI model.
    • Adjust the "Basic LLM Chain" and "OpenRouter Chat Model" configurations to specify the desired AI model, prompts, and parameters for content generation.
    • Configure the "APITemplate.io" node with your desired PDF template and mapping for the generated content.

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