Welcome — Build an AI PM Agent in 15 Minutes
This is a hands-on sprint. You'll leave with a real, reusable AI Agent Type 2 powered by MCP servers — a Claude-based PM agent that writes PRDs and creates Jira tickets through live tool integrations.
🤖 What is an AI Agent Type 2 with MCP?
This is a tool-using AI agent — Claude configured with a PM system prompt that can call live external tools via MCP (Model Context Protocol) servers. It doesn't just chat — it takes real actions: writing PRDs, creating Jira tickets, reading your calendar, and pushing to Slack. Learn about all 7 Types of AI Agents →
- ✓claude.ai is open in another tab, ready to receive prompts
- You have a feature idea in mind — even rough and half-baked is perfect
- (Optional) Jira project key handy if you want live ticket creation at the end
Hit "Begin Sprint" to start the 15-minute countdown. Each step shows how many minutes to spend. Move fast — this is designed to be tight but totally doable.
Configure Your PM Agent
This system prompt is the DNA of your agent. Paste it into Claude as your first message — it transforms Claude from a generalist into a disciplined Senior PM for the rest of the session.
- 1Switch to your Claude.ai tab and open a new conversation.
- 2Click "Copy Prompt" on the block below and paste it as your first message to Claude.
- 3Wait for Claude to reply with: "I'm your Senior PM Agent. What feature are we building today?" — then come back here.
You'll know it worked when Claude replies: "I'm your Senior PM Agent. What feature are we building today?" — Switch back here and click Next.
Describe Your Feature & Answer Questions
Tell the agent what you want to build using the template below. It will ask 4–6 targeted questions — answer them honestly and specifically. This dialogue is what makes the PRD great.
"I want to improve our scheduling feature."
"I want a Chrome sidebar for Zara AI so EAs can schedule meetings without leaving Gmail."
After your answers, Claude will say something like "I have enough context to write the PRD." That's your cue to come back here and hit Next.
Generate the PRD
One prompt triggers the full Product Requirements Document. Review it quickly, use the refine prompt if anything's off, then move to tickets.
- Problem Statement names a specific user and a specific pain
- User Stories use full "As a / I want / So that" format
- Success Metrics are numbers — not vague phrases like "improve engagement"
- Out of Scope is an actual list — not "future enhancements"
Convert to Jira Tickets + Risks
The final move — turn your PRD into a complete sprint backlog with a risk analysis, all in one shot. Optionally push directly to Jira via the API.
If you have Jira connected to Claude: After reviewing the tickets, send the prompt below to push them live to your Jira project.
- Every Story has a user-facing outcome (not just technical tasks)
- Acceptance criteria are specific and testable — not subjective
- No single story exceeds 8 story points
- At least one technical spike exists for your highest architectural risk
- High-severity risks have a named owner and concrete action
You just did in 20 minutes what takes most teams 1–2 weeks: feature scoping, full PRD, complete ticket backlog, and risk analysis. Hit Complete to see your reusable toolkit.
Workshop Complete!
You built and used a working AI PM Agent. Here's what you created in 20 minutes:
- 🚀Run it on a real backlog item this week — take something your team is debating and go through the full workflow.
- 🤝Share this workshop with engineers and designers so your whole team speaks the same PRD language.
- ⚙️Customize the system prompt to match your company's PRD format, ticket naming conventions, and Jira project structure.
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