The questions we are working on
Research pillars are standing lines of work, not finished papers. Each one names a question, records what has been established so far, and carries notes typed as design patterns or operating theories.
Precision Education
Active · since 2020 · 1 note
Human knowledge as a closed loop
Training is treated as a broadcast: publish the course, record the completion, hope for the change. We treat human knowledge as a control loop instead, where every step from delivery to outcome produces evidence and the evidence decides what the person gets next.
Build a learning evidence record
Zero Neo
Active · since 2026 · 8 notes
Zero Neo
New software for business operations should be the last resort if Microsoft 365 or Google platforms are already good enough. Zero Neo is the program that tests whether AI has made that position defensible, and looks for the places where it is wrong.
Build a software necessity decision record
Engineering Care Delivery
Active · since 2026 · 7 notes
Consumer tech for medical grade devices
Zero Neo says new software should be the last resort when you already own the platform. The same question applies to hardware. Consumer electronics has already commoditized most of the sensing, compute, radio, and power a large class of medical devices needs. If that is true, and if AI-native methods can compress the regulatory and quality work, then some reimbursed devices are priced as though neither change happened.
Build a commodity component feasibility screen
Active · since 2026 · 14 notes
Zero Dashboard Experiences
The dashboard is an artifact of software that could not reason. When a system can rank, explain and justify, the correct interface is a briefing, a ranked stream of judgment calls and a conversational explorer, not KPI tiles, module sidebars and worklists. This pillar documents what replaces the dashboard and what it costs to give one up.
Build a decision briefing specification
Active · since 2026 · 0 notes
Intermediation in Healthcare Delivery
Healthcare is unusually intermediated. Between an innovation and the patient sit physicians, hospitals, distributors, DME suppliers, pharmacies, PBMs, payers, employers, purchasing organizations and government programs, and each of them controls a different part of the money, the workflow, the risk or the door. This pillar treats that structure as something to be mapped and redesigned rather than accepted.
Build a healthcare intermediation map
Active · since 2026 · 4 notes
Therapeutic Enablement
A therapy, device, or diagnostic succeeds only when the patient, care team, and delivery setting are ready to carry its clinical capability into a reliable result.
Build a care delivery readiness map
Active · since 2026 · 4 notes
Market and System Conditioning
Useful interventions stall when patients cannot be found, clinicians cannot act, institutions cannot absorb the change, or payment and accountability remain unsettled.
Build a health system condition map
Active · since 2026 · 4 notes
Evidence, Economics, and Rights
A care model can advance only when its scientific, market, adoption, economic, and strategic claims survive separate review.
Build a care model decision package
Active · since 2026 · 3 notes
Care Delivery as the Product
The product is the care pathway that selects, combines, delivers, observes, and improves technology around a patient outcome.
Build a care delivery specification
Active · since 2026 · 4 notes
Public Signal Intelligence
Public records can expose spending, unmet need, scientific movement, delivery capacity, policy experiments, regulated products, and the gaps between them.
Build a public signal evidence ledger
Active · since 2026 · 0 notes
The Competitor May Look Like Your Customer
A regulated technology business may find that its next competitor is not another vendor but the practice it has been selling to, rebuilt around AI as an operating company.
Build a care delivery readiness map
Procurement Innovation
Active · since 2026 · 0 notes
Government Should Stop Doing All Its Own Buying
Government should keep every acquisition function that requires public authority and test different ways to perform the commercial support work underneath it. This is not privatization. It is a way to find out what works.
Build a procurement experiment brief
Impossible Work
Active · since 2026 · 0 notes
Which entirely new forms of work become possible with modern AI?
AI matters most where it makes useful work economical for the first time. This pillar looks past faster versions of familiar jobs and searches for work, products, services and organizational capabilities that humans could not afford to perform continuously before.
Build a impossible work hypothesis record
Alpha to Patent
Active · since 2026 · 4 notes
Design Your Patent Around What the Customer Buys
Start with the result a customer values. Then find the unusual insight and the constraint a capable competitor cannot avoid without weakening that result.
Build a commercial constraint map
Active · since 2026 · 5 notes
IP in a World of Abundant Intelligence
Assume intelligence, research, and engineering keep getting cheaper. Protect the parts of an advantage that remain scarce under that assumption.
Build a ai compression test
Active · since 2026 · 6 notes
From Product to Rights
Break the product into the assets that create value, then use the narrowest controls that can do a real commercial job.
Build a rights and provenance map
Active · since 2026 · 5 notes
Patent to Alpha
Read an existing patent backward to recover the unusual insight, current use, product opportunity, and decision the right can still change.
Build a patent portfolio decision packet
Unbundling Work
Active · since 2026 · 7 notes
Unbundling Work, Credentials, and Liability
A job title bundles work, authority, trust, evidence, and liability. Open the bundle before deciding what should move and what must stay with a person.
Build a credential and liability map
Active · since 2026 · 7 notes
Labor as Code™
Work becomes governable when its purpose, evidence, authority, limits, exceptions, and tests are written clearly enough to inspect and change.
Build a worker contract
Active · since 2026 · 9 notes
AI Workforce™, Native Alpha™, and Recomposition
The goal is a working operation in which people, machines, software, and outside services each carry the work they can perform well and lawfully.
Build a workforce recomposition plan
Active · since 2026 · 9 notes
Operational Truth™, Risk, Liability, and Outcomes
Consequential work needs evidence of what happened, clear limits on authority, known failure modes, and a test tied to the result in the world.
Build a outcomes acceptance test
Active · since 2026 · 7 notes
Eidolons: working digital reflections
We hand capable engines important work and then hand them a thin description of the people, companies, customers, competitors, products, and systems the work is about. An Eidolon is a working digital reflection of one of those things: not a replica, not a clone, but enough grounded reality for an AI to reason about the original without guessing.
Build a work unbundling record
Zero Security Theatre
Active · since 2026 · 3 notes
The dangers of security theatre
Security programs are usually described by what they have: purchased tools, signed policies, closed findings, and certificates. That says almost nothing about what would happen if a capable attacker tried something today. This pillar tests the controls and measures what happens.
Build a research decision record
Active · since 2026 · 3 notes
The dangers of data privacy theatre
Most privacy programs are documentary. Notices, consent language, contractual clauses, and a data inventory maintained by interview. This pillar studies privacy as an engineered property of running systems, where the claim in the notice can be checked against the behaviour of the data.
Build a research decision record
Active · since 2026 · 3 notes
Compliant Insecurity
An organisation can hold every certificate its market asks for and still be unable to detect, contain, or recover from an ordinary intrusion. Compliant Insecurity is the name for that condition. This pillar studies how regulatory and contractual obligations move from periodic attestation to continuous operational evidence.
Build a research decision record
Active · since 2026 · 3 notes
Attack-and-recovery engineering
Engineering disciplines specify an outcome, instrument the system, attack the assumption, measure what happens, and improve. This pillar applies that sequence to cyber resilience and collects the evidence needed before any composite score can honestly be defined.
Build a research decision record
Active · since 2026 · 3 notes
AI-native defensive security
AI makes some attacks cheaper and gives defenders more ways to watch systems continuously. This pillar asks which neglected defensive jobs machines can now do, and which decisions still need a person.
Build a research decision record
Active · since 2026 · 2 notes
Human error without human blame
A large part of security practice asks employees to remember instructions and behave correctly under time pressure. This pillar studies what happens when that expectation is replaced with technical arrangements that make the safe action the default.
Build a research decision record
Active · since 2026 · 2 notes
Recovery as a first-class discipline
Prevention attracts budget and attention. Recovery is usually delegated to infrastructure, measured by job success, and rehearsed rarely. This pillar studies whether recovery capability is systematically underinvested relative to its effect on total loss.
Build a research decision record
Active · since 2026 · 2 notes
Vendor and supply-chain resilience
Other organisations hold much of a company's security in their hands: managed providers, cloud platforms, software vendors, clinical systems, contractors, open-source maintainers, and AI providers. This pillar asks what those parties actually do when trouble starts.
Build a research decision record
Active · since 2026 · 2 notes
GRC engineering
Governance, risk, and compliance teams write policies, maintain spreadsheets, collect screenshots, and answer questionnaires. This pillar asks how much of that evidence the systems themselves can produce.
Build a research decision record