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A few handcrafted articles about my thoughts and experiments.

A platform crew maintains a shared industrial service spine beneath several independent product work bays
The AI Platform Team Is an Enablement Layer
How AI platform teams can provide reusable harnesses, evaluation systems, source governance, capability controls, and operational patterns without owning every product decision.
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An autonomous excavation vehicle stops where the verified tunnel ends at an unstable unlit void
When Agents Should Refuse to Continue
A practical guide to refusal as an operational state for AI agents when evidence, authority, safety, budget, or task coherence breaks down.
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Engineers test whether an autonomous ship can be steered and stopped inside a dark naval test basin
AI Product Metrics Should Measure Control
Why AI product health should track evidence quality, correction rate, authority use, stop behavior, recovery, and user trust alongside speed and automation.
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An autonomous work cell passes a sealed evidence canister through a transfer lock to a human operator
Human Handoffs Are Part of the System
How AI workflows should treat human review, escalation, approval, correction, and ownership as designed transitions rather than interruptions.
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An archivist inspects sealed source canisters before routing them into a large autonomous research machine
Artificial Intelligenceretrievalcontext-engineeringArchitecture
Agentic Search Needs Source Governance
Why AI agents that search, retrieve, and synthesize information need explicit rules for authority, freshness, conflict handling, exclusion, and citation.
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A paper instruction enters a reader while physical valves and interlocks govern access to an autonomous machine behind glass
The Prompt Is Not the Policy
Why AI policy must live in enforceable rules, source governance, tools, approvals, and evaluators rather than being reduced to instruction text.
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An autonomous aircraft crosses a test course built with crosswinds, ice, blocked passages, and emergency catch nets
Design AI Workflows Around Failure Modes
Why reliable AI products should begin with expected failure classes, containment paths, and recovery states instead of only optimizing the happy path.
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Expedition samples and artifacts are arranged on an inspection table and connected to their compartments in an autonomous rover
Evidence Manifests for Agent Work
How agents can make completion auditable by recording required sources, artifacts, checks, decisions, exclusions, and unresolved uncertainty in one durable manifest.
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An operator pilots a submersible through an ocean trench beside a glass-enclosed simulator running a transparent twin
Shadow Mode for AI Releases
Why AI features should run beside existing workflows before taking authority, and how shadow mode exposes behavior, cost, evidence, and failure classes safely.
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