AI can generate answers in seconds. But people still need to ask the questions that matter.
Artificial intelligence is changing product work at extraordinary speed.
Teams can now generate strategies, research summaries, roadmaps, OKRs, backlogs, prototypes, and code faster than ever before.
But speed creates a new problem:
What happens when producing becomes easier than thinking?
More output does not mean more progress.
A polished strategy does not mean alignment.
A complete backlog does not mean clarity.
And an AI-generated answer does not mean the team understands the problem.
Teams Still Matter is about navigating that tension.
Paulo Caroli, creator of Lean Inception and Team OKR, explores how product teams can combine human direction with AI acceleration-using AI to expand thinking, reduce friction, and learn faster without outsourcing judgment, alignment, or responsibility.
Drawing on real team experiences, practical examples, anti-patterns, and prompts, the book explores how AI is reshaping:
You will also learn to recognize emerging traps such as AI-generated alignment, fake discovery, oversized MVPs, output obsession, and strategy theater-patterns that can make organizations look faster and more sophisticated while actually weakening learning and decision quality.
This is not a book about replacing product managers, designers, engineers, leaders, or teams.
It is about raising the quality of the work that remains distinctly human:
choosing what matters, challenging assumptions, making trade-offs, learning from reality, and deciding together.
AI can accelerate the work.
But teams still define the direction.
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