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  • Task Context vs Shared Context: The Mental Model That Makes AI Product Teams Actually Scale

    AI did not introduce the need for context. It exposed how little of it most teams have. Right now, “context engineering” is having its moment. People talk about RAG, long context windows, tool calling, and standards like the Model Context Protocol. (Model Context Protocol) Those are real advances. But they… Read more ⇢

    Task Context vs Shared Context: The Mental Model That Makes AI Product Teams Actually Scale

  • Your Agent Does Not Need More Prompt. It Needs Memory.

    Most teams try to fix weak agents by rewriting prompts. That is usually the wrong move. The real issue is that the agent has no durable memory model. It can answer the current turn, but it cannot reliably carry forward user preferences, prior decisions, task context, or the small facts… Read more ⇢

    Your Agent Does Not Need More Prompt. It Needs Memory.

  • Defining Product Value: Stop Treating Products Like Projects

    Most leadership teams say they are building “product value,” then immediately measure it like a finance exercise. ROI. LTV. Payback period. Those numbers matter, but they are also the fastest way to undervalue the most important products you will ever build. The uncomfortable truth is that many of the products… Read more ⇢

    Defining Product Value: Stop Treating Products Like Projects

  • How to Add a Secure JavaScript Execution Tool to Microsoft Agent Framework

    There is a recurring moment in agent design where a team realizes the model does not just need to reason. It needs to compute. It needs to transform JSON, run a formula, post-process extracted fields, normalize dates, build a dynamic object, or apply domain logic that is simply easier to express in… Read more ⇢

    How to Add a Secure JavaScript Execution Tool to Microsoft Agent Framework

  • The Steinberger Threshold

    Most leaders are asking the wrong question about AI. They ask whether their teams are using it. They ask which model to standardize on. They ask whether agents are ready for production. They ask how quickly they can drive adoption. That is all downstream. The real question is simpler and… Read more ⇢

    The Steinberger Threshold

  • AI is not killing the PM role. It is being forced to grow up.

    Agile changed the choreography of delivery, but it did not fundamentally change the cast. We kept the same job titles, the same swim lanes, and mostly the same power dynamics. AI is different because it collapses the distance between intent and execution. Engineers can prototype in hours. Designers can ship… Read more ⇢

    AI is not killing the PM role. It is being forced to grow up.

  • Security is not “tech debt” or “engineering work.” It is product work.

    If you have ever watched a product manager and an engineering lead debate whether a security improvement “counts” as roadmap progress, you have seen a symptom of a deeper problem. The argument is rarely about the work itself. It is about ownership, incentives, and an outdated mental model where “product”… Read more ⇢

    Security is not “tech debt” or “engineering work.” It is product work.

  • From Using AI to Running AI: The Next Skill Gap

    The biggest mistake leaders are making right now is framing the next era as a contest between humans and AI. That is not what is happening inside high-performing teams. The real separation is already showing up somewhere else: between people who use AI and people who orchestrate it. AI users get output. AI orchestrators… Read more ⇢

    From Using AI to Running AI: The Next Skill Gap

  • The Iron Triangle Is Back. AI Just Made It Sharper.

    Every decade, the tech industry rediscovers a timeless truth and tries to dress it up as something new. Today’s version comes wrapped in synthetic intelligence and VC-grade optimism. But let’s be honest: AI did not kill the Iron Triangle. It fortified it. For years we have preached that product decisions always… Read more ⇢

    The Iron Triangle Is Back. AI Just Made It Sharper.