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Anthropic just released Claude Managed Agents, a way to create custom AI agents that run entirely on Anthropic's infrastructure, with no code required. In this video, I break down how Managed Agents work under the hood (harness, session, orchestrator), demo building a personal medical agent using Claude Code that connects to Slack, and explain why this is fundamentally different from tools like OpenClaw. We'll cover the architecture that makes these agents scalable and production-ready, and I'll share my honest take on the current limitations, including the API-only pricing model, and limited platform support. Whether you're building your first agent or evaluating if Managed Agents is right for your next project, this video has you covered. š Relevant Links Anthropic Article - https://www.anthropic.com/engineering/managed-agents Managed Agent Pricing - https://platform.claude.com/docs/en/about-claude/pricing#claude-managed-agents-pricing ā¤ļø More about us Radically better observability stack: https://betterstack.com/ Written tutorials: https://betterstack.com/community/ Example projects: https://github.com/BetterStackHQ š± Socials Twitter: https://twitter.com/betterstackhq Instagram: https://www.instagram.com/betterstackhq/ TikTok: https://www.tiktok.com/@betterstack LinkedIn: https://www.linkedin.com/company/betterstack