Contextual Watchers
AI agents designed to monitor system health, detect anomalies, and enforce quality constraints without human intervention. They operate as defensive agents — observing patterns, flagging degradation, and triggering alerts when systems drift from defined standards.
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Designing Contextual Watchers: AI Agent Monitoring Patterns That Catch Problems Before They Propagate
A practitioner's guide to defensive AI agent design — thin-slice expert watchers that monitor quality, scope, and consistency dimensions with defined trigger conditions, evaluation criteria, and response actions.
Multi-Agent Coordination Patterns: When One Agent Isn't Enough
Four practitioner-tested coordination patterns for multi-agent Claude Code workflows — fan-out, pipeline, shared-context-hub — with the vault as coordination mechanism and a decision framework for when to split.
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