Your architecture diagram shows what the system can reach. It usually does not show what the system should trust, who has authority, how contradictions are resolved, what may be changed, or how far the consequences can spread.
SharePlane is a static publishing library and a governed context-as-code operating model. This artifact explains how versioned authority, human judgment, bounded agents, deterministic generation, validation, receipts, and exact-head publication turn rough ideas into durable public work.
Published
AI GovernanceArchitectureContext As CodeMulti Agent Systems
Public-source security essay arguing that modern software supply-chain compromise now propagates through developer workflow trust, not only bad packages.
Published
AI GovernanceGoverned AIPlatform EngineeringSource Authority
Article-first SharePlane thesis defining demo debt as the liability created when impressive AI demos are mistaken for supportable operational capability.
The AI Underclass Will Be Built With Access Controls
Article-first public-safe editorial op-ed on frontier AI access controls, strategic infrastructure, and the risk of metered or delayed access to advanced models.
Article-first SharePlane op-ed arguing that AI makes high-context internal judgment more valuable, so enterprises should outsource capacity rather than the cognitive center of the business.
A long-form SharePlane article arguing that AI makes clear thinking the control plane because apparent success is cheap, verified success is expensive, and autonomy must be earned through intent, evals, evidence, and constraint.
Published
AI GovernanceGoverned AIModel EvaluationMulti Agent Systems
A premium source-derived strategy artifact explaining why cheap AI execution commoditizes known work and moves advantage toward frontier scouting, better questions, verification, and workflow redesign.
Published
AI GovernanceStrategyTeaching ArtifactsStatic Publishing