When AI Learns Physics…
…the field changes.
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Turing Pilgrim
AI Product Strategy for Real-World Systems
Writing on industrial software, infrastructure, digital twins, and the product decisions that surface when software touches the real world.
Field notes for teams building in consequential environments.
The newest Substack pieces as of June 30, 2026, spanning physics-aware AI, operating models, delegation, and adoption in the field.
…the field changes.
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AI is user-friendly, but not every user wants to deal with it.
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IT is built for support. Operations is built for survival.
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The hard question is not what AI can do. It’s what we should let it do, and how.
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We spent a decade cleaning operational systems for humans. Now AI needs the mess we filtered out.
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Stop trying to replace the operator. Start augmenting them.
Read the essay Companion notesA featured discussion on the product, operating, and trust questions behind AI transformation.
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A printable guide for product leaders building AI in energy and industrial systems.
A workbook for making the right bet before the roadmap hardens.
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Selected writing on power, digital twins, infrastructure, and the systems questions that matter when software becomes operational.
Why factor graphs can make industrial AI more explainable, physics-aware, and trustworthy in operational environments.
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A practical look at what changes when digital twins become operational systems.
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A concrete exploration of digital twins in colocation and data center environments.
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A look at how AI-native systems can help teams reason through live operational complexity.
Read the articleEarlier bylined work on field operations, industrial data flows, and cloud-native systems in oil and gas.
A cloud architecture piece on streamlining production operations through SaaS design and shared workflows.
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How field data gathering becomes more valuable when it is integrated into broader operational systems.
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Industry coverage connecting cloud-native operating systems to faster, more integrated production accounting.
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An earlier industry quote on a theme that still holds: small edge data often drives larger gains in productivity and decision quality.
Read the pieceTalks on workflow design, APIs, and software that has to survive real operating conditions.
A talk on APIs, work verification, and workflow automation for field technicians.
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