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Evidence library
Research & Evidence
Research records, framework analysis, modeled claims, and evidence boundaries behind the Large People Model.
A public route does not make every claim equally strong. Open a record to see its basis, method, source status, limitations, and what evidence could change the conclusion.
How to read this library
First identify what kind of evidence you are looking at.
These labels are mutually exclusive on cards. They describe the basis of the record—not whether the argument is persuasive.
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Founder/framework analysis
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Modeled estimate
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Illustrative example
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Customer outcome
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Benchmark finding
Public research records
Read the record with its boundary attached.
Each card names one evidence basis. Three records also carry a visible editorial-review warning because their publication metadata and draft-state language conflict.
Modeled estimatePublic record
The Supervision Ceiling
July 13, 2026 · Chad Stewart · Grade A mechanism, modeled coefficients
Why human oversight becomes the binding constraint as governed agents scale faster than supervisory capacity.
AI AmplificationGovernanceOwnership
10 min readRead record
Founder/framework analysisPublic record
Architecture Precedes AI
July 13, 2026 · Chad Stewart · Mixed evidence with Grade A foundation
Why AI amplifies the operating architecture beneath it, and why failed AI programs often reveal architecture failure rather than model failure.
OwnershipDecisionsCommunication+4
9 min readRead record
Founder/framework analysisPublic record
The Ownership Vacuum
July 13, 2026 · Chad Stewart · Grade A organizational mechanism, weak agent-market figures
Why a tool cannot own an outcome, and why shared ownership often becomes distributed deniability.
OwnershipGovernanceAI Amplification
8 min readRead record
Founder/framework analysisPublic record
The hidden cost of decision latency
March 10, 2026 · Chad Stewart · Framework-based analysis
How slow, unclear, or reversible decisions create execution drag that traditional delivery metrics often miss.
DecisionsCommunicationOwnership
7 min readRead record
Founder/framework analysisPublic record
Why AI adoption fails after pilot success
April 7, 2026 · Chad Stewart · Framework-based analysis
Why promising AI pilots often fail to become enterprise capability when ownership, information trust, governance, and platform boundaries are unclear.
AI AmplificationGovernanceInformation+1
6 min readRead record
Founder/framework analysisPublic record
The operating model gap in enterprise AI
May 5, 2026 · Chad Stewart · Framework-based analysis
Why AI readiness must include ownership, decision rights, information ecology, platform structure, and governance, not only data and technology readiness.
OwnershipDecisionsCommunication+4
6 min readRead record
Founder/framework analysisPublic record
Coordination debt in large organizations
May 26, 2026 · Chad Stewart · Framework-based analysis
How accumulated ambiguity across ownership, decisions, communication, information, platforms, and governance slows execution at enterprise scale.
OwnershipDecisionsCommunication+4
7 min readRead record
Founder/framework analysisPublic record
AI Readiness Is an Operating Model Problem
June 16, 2026 · Chad Stewart · Framework-based analysis
A concise brief explaining why AI readiness must include ownership, decisions, information, governance, and human accountability.
AI AmplificationOwnershipInformation+1
Executive briefRead record
Evidence Discipline
Build confidence without overclaiming.
Research establishes the claim boundary. Continue into the operating signals, recognizable contexts, and working materials that make the problem inspectable.