Spraying GenAI Everywhere? Try This First
Why scattering AI initiatives without identifying bottlenecks wastes effort — and how a Theory of Constraints lens helps you aim GenAI at the right problems before you automate.
AI Activity to Impact
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From FOMO to JOMO
Adopting AI (or Agile, or OKRs) out of FOMO almost always turns into JOMO — the Joy of Missing Out. A five-question framework for connecting any initiative to your most expensive problems before you commit.
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Developing Your AI Context as a Product
AI context — system prompts, knowledge bases, and tool configurations — is a product to be continuously discovered and improved. Applying product thinking to AI enablement.
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Can you really run product discovery experiments more effectively with AI?
AI tools promise to accelerate product discovery — but do they? A critical look at where AI actually helps in discovery, and where the bottleneck remains human judgment.
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· AgilityHow can AI REALLY help you build better products?
Practical patterns for using AI across the product development flywheel — from discovery and validation to faster build cycles and better feedback loops.
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Product-Led AI: How to Turn LLM Geekery Into Customer Outcomes
Every major tech wave has a cart-before-the-horse phase. What product-led AI looks like instead: starting with customer outcomes, embedding cross-functional ownership, and exploring problems before solutions.