This workflow shows how product managers can use Cursor, an AI-powered code editor, to create an end-to-end system that automates PRD creation, feedback management, Jira ticket generation, and status reporting.
with Claire Vo
Optimize Cursor for documentation, not just code. Install a Markdown preview extension like Markdown Preview Enhanced for readability, organize product documents in a dedicated directory, and use Git for version control to track changes to your PRDs just like source code.
Write your Product Requirements Document (PRD) in Markdown directly within Cursor. Then, use a simple natural language prompt with Cursor's Model Context Protocols (MCPs) to publish the document directly to tools like Confluence or Notion.
Let's publish it into Confluence. Don't overwrite the other one we already pushed, make a copy please. And I'm demoing this capability!Instead of manually replying to comments on your published PRD, use an AI prompt to pull all comments from the Confluence page into Cursor. The AI will categorize them and draft suggested responses, which you can review and approve.
Looks like people have been commenting on the PRD. Please go through the comment one by one and let's see how we'll respond.Once your PRD is finalized, instruct the AI to read the document and automatically create a corresponding epic and detailed story tickets in your Jira project. This ensures tickets are well-structured with user stories and acceptance criteria, linked directly to the PRD context.
Read the PRD and create an epic in the TIA project. ... Let's create story tickets that are all associated with the parent Epic for this feature.Generate comprehensive weekly status reports with a single prompt. The AI uses the Jira MCP to query the status of all tickets related to your epic, read comments, and compile a detailed update based on a pre-saved format.
Let's write a status report and describe everything that has happened since 9/24 for this epic I'll give it this epic here.
Follow Sahil Lavingia's method for delegating small but impactful maintenance tasks, like fixing an internal Slack report, to the AI agent Devin. This workflow shows how to use simple, clear prompts to fix code and update system prompts without distracting your engineering team.
Learn Gumroad CEO Sahil Lavingia's process for rapidly prototyping a UI with v0, then using the AI agent Devin to autonomously code, implement, and submit the feature for review, turning a multi-day task into a one-hour workflow.
Improve your writing in real-time by using ChatGPT as a first reader. Get instant feedback on structure, clarity, and flow as you write, allowing you to polish your work section by section.
We've made ChatPRD affordable so everyone from engineers to founders to Chief Product Officers can benefit from an AI PM.