Building effective agent automations

As AI accelerates our work, it's getting harder to keep up. At Anthropic, simple agent automations are frequently used to help. They often run on a schedule, gather context in the background, and proactively tell us what we need to know. But it’s difficult to build effective agent automations: they can lose access to a source without anyone noticing or fail to follow our preferences. Using Claude Managed Agents (beta), we built a reference implementation that reads custom sources (e.g., Slack and GitHub repos) on a schedule, tracks what changed since the last run, and posts what you need to…

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