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AI-Native PM

AI-Native Product Management

The discipline of turning a probabilistic system into a product that reliably solves a real problem.

The AI-native PM's job is to shape how that system behaves, and to hold that behavior to the product judgment AI has not commoditized.

A probabilistic systemA reliable product

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The Frameworks & Execution Models

A well-researched (no vibes) scientific view behind this practice, giving you the tools to build real-world products.

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The Builder's Stack

Practical AI education to help you build and ship exceptional products.

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The Frameworks & Execution Models

The Discipline: what changed about the workA before-and-after wipe. A bright divider sweeps left to right. As it passes each row, the muted old way crossfades into the vivid new way and an accent underline draws in. A spec of features becomes a spec of behavior. Owned across functions becomes PM accountable for behavior. A known menu becomes new problems and new solutions. Acceleration is tablestakes. Owning this work is the job.WHAT CHANGEDBEFOREAFTERA spec of featuresA spec of behaviorOwned across functionsPM accountable for behaviorA known menuNew problems and new solutionsAcceleration is tablestakes. Owning this work is the job.

Using AI to move faster is becoming table stakes. Building with AI is a separate craft, and the work itself changes. What you ship becomes a spec of behavior rather than a set of features. You own how the model behaves when no other function does. And the menu of what is worth building is new, so the only way to know is to build it.

  • A spec of behavior
  • Owning the behavior
  • New problems to solve
Go deeper12 min read

The Human FactorsConcentric rings like a radar of the mind, from the outer ring Perception inward through Working Memory and Mental Models to the innermost Metacognition, with a human mind mark at the center. A pulse ripples inward through the layers; each faculty lights up in turn with its design recommendation.DESIGNING FOR THE HUMANPERCEPTIONWORKING MEMORYMENTAL MODELSMETACOGNITIONTHE HUMAN MINDPERCEPTION"Make the warning impossible to miss."

The part of the system the model has no access to, and the part the PM is there to protect.

The products that win will be the ones designed for the mind that has to use them, with its real and well-documented limits, not for an idealized user who has none. That mind is on the other side of every model. It is the part of the system the model cannot see, and the part the PM is there to protect.

  • Perception
  • Working memory
  • Mental models
  • Metacognition
Go deeper16 min read

Shape · Ship · TrackA continuous cycle of Shape, Ship, and Track, then Shape again, because a probabilistic system is never finished.A probabilistic modelmade reliable1ShapeDecide how it behaves2ShipPut it behind guardrails3TrackCatch what users won't report

The whole practice. You shape how a model behaves, you ship it to a human behind guardrails, and you track whether it holds. Then you do it again, because a probabilistic system is never finished.

  • Shape
  • Ship
  • Track
Go deeper7 min read

The Operating Manual: Shape · Ship · Track, operationalizedA blueprint of columns headed Shape, Ship and Track, under one umbrella band labelled Continuous Operations, the umbrella across every turn of the cycle. Shape opens into Frame the problem, Write the behavior, Choose the model, and Prototype it. Ship opens into Build the guardrails, Build the eval suite, Earn trust when unsure, and Set the cost and speed budget. Track opens into Watch in production, Catch the drift, and Feed back into Shape. The rows draw in column by column, then a dotted feedback path runs from Feed back into Shape back up to the Shape column. The cycle opens into its activities. Continuous Operations runs across every turn.THE CYCLE, OPERATIONALIZEDCONTINUOUS OPERATIONSthe umbrella across every turn of the cycleShapeFrame the problemWrite the behaviorChoose the modelPrototype itShipBuild the guardrailsBuild the eval suiteEarn trust when unsureSet the cost & speed budgetTrackWatch in productionCatch the driftFeed back into ShapeThe cycle opens into its activities. ContinuousOperations runs across every turn.

The cycle, made operational. Each move opens into the activities you actually do, with Continuous Operations running across all of them, and every activity produces something real you can hand off.

  • Shape
  • Ship
  • Track
  • Continuous Operations
Go deeper14 min read

The Builder's Stack

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Level 1The Fundamentals
Level 2The Practice
Level 3The Frontier

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Field Notes

What the work teaches, written down while it is fresh.

Short, concrete notes from building AI products in production. Open to other builders, so if you have one worth sharing, reach out.

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