IntermediateProduct Managers

Building and Shipping AI Features

Move from understanding AI to actually building it. This path covers writing AI PRDs, designing evaluation frameworks, specifying agent behaviors, running evals, monitoring production systems, and shipping with confidence.

5 modules24 steps~5 hours
0% complete0/24 steps
Path Progress: 0% (0/24 steps)
Module 1: Writing AI Product Specs0/6
Module 2: Designing AI Agent Behaviors0/6
Module 3: Running LLM Evaluations0/7
Module 4: Ethics and Safety in Practice0/5
Module 5: Shipping and Monitoring AI0/7

After completing this path, you will be able to:

  • Write an AI-specific PRD that accounts for non-deterministic behavior
  • Design and run LLM evaluations without depending on engineering
  • Specify agent behaviors and error handling patterns
  • Set up monitoring and alerting for AI features in production

Learning Objectives

  • Write PRDs for AI features with clear success criteria
  • Specify evaluation metrics in the spec itself
  • Define failure modes and fallback behaviors
📖
How to Write a PRD for AI Features
10m
📖
AI Product PRD Template
8m
📖
AI Feature Spec Template
8m
📖
USIDO Framework
12m
✏️
20m
🏁
5m

Learning Objectives

  • Specify agent behavior patterns and boundaries
  • Design error handling and graceful degradation for agents
  • Apply red-teaming techniques to find agent vulnerabilities
📖
Specifying AI Agent Behaviors
12m
📖
Agentic AI Product Design
10m
📖
Agentic UX Patterns
5m
📖
Red Teaming AI Products
12m
✏️
15m
🏁
5m

Learning Objectives

  • Design eval suites for LLM-based features
  • Run evals without depending on engineering resources
  • Interpret eval results and make ship/no-ship decisions
📖
LLM Evaluation Framework
12m
📖
How to Run LLM Evals
12m
📖
Run Evals Without Engineering
10m
📖
LLM Eval Plan Template
8m
🧮
AI Eval Scorecard Generator
10m
✏️
15m
🏁
5m

Learning Objectives

  • Run an ethics review for an AI feature
  • Apply the Responsible AI framework to real decisions
  • Identify and mitigate bias, safety, and fairness risks
📖
Responsible AI Framework
12m
🧮
AI Ethics Risk Scanner
8m
📖
AI Ethics Review Template
8m
✏️
12m
🏁
5m

Learning Objectives

  • Plan an AI feature launch with appropriate guardrails
  • Set up monitoring dashboards for AI-specific metrics
  • Know when an AI feature is degrading and how to respond
📖
AI Product Monitoring
12m
📖
AI Product Launch Checklist
8m
📖
Hallucination Rate Metric
5m
📖
AI Task Success Rate
5m
📖
AI Feature Adoption Rate
5m
✏️
10m
🏁
5m