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Table of Contents The Moment Everything Changed The Problem Nobody’s Talking About Normal Software: The Old World The Architecture Key Characteristics Real Example: E-commerce Checkout AI Software: The New World The Architecture How Token Generation Actually Works Key Characteristics Real Example: AI Email Assistant The Side-by-Side Comparison Let’s Dig Into Each Row What This Means for Product Teams 1. Feature Specification Must Change 2. Timeline Estimation Gets Fuzzy 3. QA Strategy Must Evolve 4. User Expectations Require Management 5. Error Handling Is Completely Different The Hybrid Architecture: How to Actually Build Products The Framework: When to Use What Example Hybrid Architecture Real Product Example: Notion AI The New Developer Skills (And What PMs Need to Know) 1. Prompt Engineering 2. Probabilistic Thinking 3. Model Evaluation 4. Hybrid Architecture Design Practical Frameworks for PMs Framework 1: The AI Feature Spec Template Framework 2: The AI Testing Checklist Framework 3: The Stakeholder Communication Template Common Mistakes (And How to Avoid Them) Mistake 1: Spec’ing AI Features Like Normal Features Mistake 2: Expecting Exact Timelines Mistake 3: Launching Without Feedback Mechanisms Mistake 4: Treating Hallucinations Like Bugs Mistake 5: Not Budgeting for Compute Costs Mistake 6: Assuming QA Knows How to Test AI The Future: What’s Coming Next 1. Multi-Modal Models 2. Agents (AI That Takes Actions) 3. Reasoning Models 4. Smaller, Specialized Models 5. Real-Time Learning Key Takeaways: What Every PM/Founder Needs to Remember Your Action Plan: What to Do This Week Monday: Audit Your Current Features Tuesday: Update Your Templates Wednesday: Have the Architecture Conversation Thursday: Train Your Team Friday: Adjust Your Roadmap Final Thoughts: We’re All Learning What’s Next? Let’s Keep the Conversation Going Resources & Further Reading The Moment Everything Changed Three months ago, I asked my engineering lead a simple question during sprint planning: ...

Table of Contents The $47K Lesson: Why This Guide Exists Why Understanding This Actually Matters The 5-Phase Journey (It’s Not Just “Deploy”) Phase 1: Planning - Where Most Disasters Start Phase 2: Development - What “Code is Done” Actually Means Quick Check-In: Where We Are Phase 3: Build & Package - The Automated Safety Net Phase 4: Testing & Validation - Before Users See It Phase 5: Deployment - Going Live Deployment Strategies: Which One Actually Works For You Build Failure Troubleshooting Guide Deployment Disasters I’ve Witnessed When Things Go Wrong: Incident Response Real Timelines: Stop Guessing, Start Planning Your Role as PM in This Entire Process PM’s Incident Response Playbook Questions to Ask During Sprint Planning Measuring Success: These Are the Metrics That Matter Your Action Plan: Start This Week Final Thoughts The $47K Lesson: Why This Guide Exists Two years ago, I made a mistake that cost our company $47,000 in one weekend. ...

Table of Contents Introduction What You’ll Learn Understanding and Managing Technical Debt How to Ask Better Questions During Sprint Planning Collaborating Proactively With DevOps Teams Using DevOps Metrics for Product Decisions Real-World Scenarios: Applying DevOps Knowledge Common Mistakes Product Managers Make With DevOps Essential Questions to Ask Your DevOps Team Wrapping Up: From Knowledge to Action Introduction You understand CI/CD. You know the difference between Kubernetes and containers. You can hold your own in technical conversations. ...

Table of Contents Introduction What You’ll Learn What DevOps Actually Means (And Why You Should Care) The Product Manager’s Stake in DevOps Success Breaking Down CI/CD: The Engine of Modern Product Development Containers and Orchestration: Why Your Team Keeps Mentioning Docker and Kubernetes Infrastructure as Code: Managing Systems Like Software Deployment Strategies: Understanding Blue-Green, Canary, and Rolling Releases Monitoring and Observability: Understanding What’s Actually Happening in Production Wrapping Up: Your DevOps Foundation Introduction You’re sitting in sprint planning when your engineering lead says, “We need to refactor the CI/CD pipeline before shipping this feature.” Everyone nods. You nod too. But internally? You’re wondering what that actually means for your roadmap, your timeline, and whether you should push back or agree. ...