What's new

Everything that changed here, newest first: research, patents, portfolio works, books, and the site itself.

September 2026

  • NewResearch & IP

    From human work to AI workforce

    Automation follows understanding. Work becomes explicit, then observable, then repeatable, and only then is it a candidate for AI execution with human exception handling.

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  • NewResearch & IP

    Graceful Degradation plan

    Define how consequential work continues or stops when AI, data, tools, identity, or outside services are unavailable or untrusted.

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  • NewResearch & IP

    Health system condition map

    List every independent condition that must hold for an intervention to reach repeatable use.

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  • NewResearch & IP

    Hospital adoption engineering

    Map the people, evidence, approvals, work, and support needed to move from sponsored pilot to routine institutional use.

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  • NewResearch & IP

    How platform and SaaS choices affect care delivery

    The published evidence that fragmented, poorly usable software has measurable costs in healthcare, what it supports, and what it does not.

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  • NewResearch & IP

    Infringement observability review

    Test whether important use can be observed and evidenced without assuming access to a competitor's private systems.

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  • NewResearch & IP

    Invention provenance record

    Keep a dated record of human insight, source material, AI assistance, experiments, decisions, and claimed contribution.

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  • NewResearch & IP

    Labor as code

    Make work inspectable, assignable, testable, versioned, and governable before attempting broad automation.

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  • NewResearch & IP

    Lectio

    The reference implementation of the closed loop: make a knowledge-sharing request explicit, observable, and answerable, so delivery, consumption, comprehension, application, and outcome stay separate claims with separate evidence.

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  • NewResearch & IP

    Liability Decomposition map

    Separate who creates, controls, authorizes, owns, transfers, and finances risk at each stage.

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  • NewResearch & IP

    Microsoft and Google as business operating substrates

    Treat the owned platform as a substrate of capabilities rather than a bundle of products, then map those capabilities against the jobs that category software is bought to perform.

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  • NewResearch & IP

    Minimum viable company Eidolon

    The smallest institutional reflection that changes AI output: what the company does, how it is organised, who decides, what it sells, and what it will not claim.

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  • NewResearch & IP

    Native Alpha Capability map

    Find where a person's or organization's unusual capability materially changes an accepted outcome.

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  • NewResearch & IP

    Native Alpha density review

    Concentrate research and protection where unusual insight, customer importance, resistance, and compounding are strongest.

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  • NewResearch & IP

    Native Alpha density review for work

    Test whether scarce capacity is moving toward work where unusual capability changes or compounds the result.

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  • NewResearch & IP

    Native Alpha invention discovery interview

    Recover the unusual observation and technical principle before drafting turns the conversation toward an implementation.

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  • NewResearch & IP

    Native Alpha reconstruction

    Read a patent family backward to recover the insight, present scarcity, and possible modern use.

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  • NewResearch & IP

    Negative know-how ledger

    Preserve failed approaches and the conditions that make them fail before the lesson leaves with a person or project.

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  • NewResearch & IP

    Open and closed architecture map

    Decide which layers should be open, standardized, licensed, proprietary, secret, or patent protected.

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  • NewResearch & IP

    Operational truth

    Trace an operational claim to independent evidence and distinguish intended, reported, recorded, inferred, observed, and verified state.

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