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Ideas

A curated collection on operational AI, leadership, organizations, and the human systems that make autonomy useful.

The three privacy thresholds in House of Us: a public Front Porch, a private Family Book, and a more restricted Vault.
Build NoteProject AarivSystems & Autonomy8 min read

I Wanted to Build My Son a Digital Home

How a personal idea became a privacy-first engineering project with a zero-dollar incremental budget.

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A decision system turns fragmented travel evidence into a constrained recommendation, verification gate, and human decision.
Build NoteSystems & Autonomy8 min read

The Opportunity Hiding in Everyday Problems

A Build Note on critical thinking, constraints, and designing a decision system for a family trip.

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A three-stage model showing identity and data scope, action autonomy and sequence, and containment and recovery controls for AI agents.
Mental ModelSystems & Autonomy5 min read

Authorization and Blast Radius Control for Agents

A practical model for controlling scope, autonomy, sequence, and consequence when agents act across enterprise systems.

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A three-step safety test showing an agent recommendation, human review, and the question of whether the reviewer can catch a bad recommendation.
ObservationSystems & Autonomy5 min read

Human-In-The-Loop Isn't The Safety

A human approval step only contains risk when the reviewer can reliably detect a bad recommendation.

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A visual model contrasting active reasoning with AI, which supports adaptation, and passive approval, which increases opacity and distance from underlying systems.
EssayHumans & Organizations6 min read

The Flynn Effect and the Age of AI

What historical gains in abstract reasoning can—and cannot—tell us about human adaptation to AI.

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Three cards representing the enterprise AI bets that models will improve, people will adapt, and reliability must be engineered.
ObservationEnterprise Trajectories5 min read

The Three Camps of Enterprise AI

Three different bets—model progress, human adaptation, and reliability engineering—and what enterprise teams should borrow from each.

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