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What this post added
This post introduces Context Studio, a system for observing, testing, and deploying AI agents. It details capabilities for managing context (workspace rules, domain-specific guides, semantic models), observing agent performance (tracking trends, surfacing agent confusion and context gaps via the Review Agent), and reviewing/publishing updates (triage, suggestions, CLI integration). It also highlights how context curation fits into modern data stacks and integrates with tools like dbt MetricFlow.