We’ve all been there: You’re preparing for the next Retrospective, and you turn to ChatGPT for help. “Give me some Retrospective ideas,” you type. What do you get back? Generic templates you’ve seen a hundred times before: Set the Stage, Gather Data, Generate Insights, Decide What to Do, and Close the Retrospective. (Kudos to Esther Derby and Diana Larsen for the format!) The problem isn’t the AI. It’s how we’re asking: We are ignoring the benefits of Meta Prompting or having a conversation with the AI before jumping to task completion.
Your LLM tool doesn’t think. It’s a statistical AI parrot: sophisticated and trained on millions of conversations—but still a parrot. Teams that fail with AI either don’t understand this or act as if it doesn’t matter. Both mistakes are costly.
The uncomfortable truth in Agile product development isn’t that AI will replace your team (it won’t) or that it’s useless hype (it isn’t). Most teams use these tools on problems that need contextual judgment, then accept outputs without the critical thinking Agile demands.
The Benefits of AI Micromanagement show up when you feed ChatGPT 5 progressively more context about your actual situation. I tested five prompts for a Retrospective design: from zero context to full team background with extended reasoning time. Case 1 produced generic “Scrum Oscars” nonsense. Case 5 delivered sophisticated root-cause analysis targeting chronic top-down thrash, dependency gridlock, and psychological safety erosion.
The difference? Strategic context curation. More context created better solutions, but only when that context was relevant and structured.
I tried ChatGPT’s new Agent Mode: Is it really a new Agile AI Agent that autonomously identifies noteworthy signals in the daily communication and data noise? Or is it a glorified automated prompt execution device?
Let’s find out. (Note: I only have a Plus account, which limits the experience.)
TL; DR: Jim Highsmith, Fabrice Bernhard, and Sandrine Olivencia speaking at Hands-on Agile 2025
The fourth and last batch of videos of Hands-on Agile 2025 is in—and it’s a fitting finale. Jim Highsmith explores the future of Agility in an AI-driven world, challenging us to rethink productivity, leadership, and the meaning of adaptability. Sandrine Olivencia takes us back to Lean’s roots, calling for a return to craftsmanship and purpose in Agile practice. Fabrice Bernhard introduces the Lean Tech Manifesto, bridging Agile principles with the realities of large-scale organizations. Together, these sessions confront Agile’s growing pains and point toward a more courageous, contextual, and enduring form of Agility.
These industry veterans bring decades of enterprise transformation experience, providing actionable insights you can implement immediately. Watch the session recordings to transform how you approach agility.
TL; DR: The Advanced Product Backlog Management Course v2 w/ AI — Out on July 15, 2025
The Advanced Product Backlog Management Course with AI is available on July 15th, 2025, at $99 with free lifetime access to all updates. It cuts through AI hype to address real product management challenges.
Instead of treating AI as a silver bullet, it examines how Generative AI and LLMs genuinely improve Product Backlog management versus when they’re expensive distractions. It uses the practical HealthXYZ startup scenario to distinguish value-adding AI applications from organizational theater, perfect for teams ready to confront uncomfortable truths about their current backlog dysfunction.
