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A platform crew maintains a shared industrial service spine beneath several independent product work bays
Artificial IntelligenceArchitectureAgent Engineeringleadership
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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Engineers test whether an autonomous ship can be steered and stopped inside a dark naval test basin
Artificial IntelligenceevaluationobservabilityArchitecture
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
Artificial Intelligencehuman-in-the-loopAgent EngineeringArchitecture
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
Artificial Intelligenceagent-securityArchitectureAgent Engineering
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
Artificial IntelligenceAgent EngineeringreliabilityArchitecture
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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A mechanical hand uses one small brass token to unlock a narrow door while larger vaults remain sealed
Artificial Intelligenceagent-securityAgent EngineeringArchitecture
Capability Tokens for AI Agents
A practical model for granting AI agents narrow, temporary, auditable authority to use tools, touch data, and perform consequential actions.
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An operator uses a weathered runbook built into an industrial control desk while autonomous machinery works outside in a storm
Artificial IntelligenceAgent EngineeringArchitecturereliability
AI Runbooks Are Product Interfaces
Why agent systems need operational runbooks that encode intent, evidence, authority, escalation, and recovery instead of leaving procedure trapped in prompts.
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A compact clockwork greenhouse tends one thriving plant while an enormous unfinished autonomous factory stands idle in the distance
Artificial IntelligenceAgent EngineeringArchitectureOrchestration
Build the Smallest Autonomous Loop That Can Work
A practical way to scope AI autonomy around one observable goal, one bounded action surface, and one trustworthy feedback loop before expanding further.
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