Prompt and Circumstance
Set up a decentralized agent team in OpenClaw to complete complex tasks. We walk you through a real use case to set up a morning briefing using two agents, a researcher and a summarizer. They hand off work to each other on a schedule so you wake up to a one-minute AI news brief on your phone. Chapters 00:00 - Intro 00:47 - Why You Need an Agent Team 02:50 - Agent Team Patterns 04:50 - Ilan's Morning Briefing Setup 08:30 - How Zoe Was Built 10:50 - Wrap-Up and Key Takeaways Business Use Cases - Set up a decentralized agent team in OpenClaw where each agent saves its output to a workspace file and the next agent picks it up to complete its part of the task. - Use cron jobs to schedule agents in sequence with time gaps between them, then test each agent manually before automating. - Give each agent a pop culture persona that matches the work style you want, and define a clear output contract (a saved file) so the agent knows exactly when its job is done. Links OpenClaw - https://openclaw.ai OpenClaw GitHub - https://github.com/openclaw/openclaw OpenClaw Docs - https://docs.openclaw.ai Agent Team Builder Skill - https://github.com/canuckamok/agents/tree/main/skills Find Us YouTube - https://www.youtube.com/@PandCpodcast Bluesky - https://bsky.app/profile/pandcpodcast.bsky.social X - https://x.com/_pandcpodcast Instagram - https://www.instagram.com/_pandcpodcast LinkedIn - https://www.linkedin.com/company/p-and-c-podcast * (00:00) - Intro * (01:06) - Why You Need an Agent Team * (02:52) - Agent Team Patterns * (04:43) - Ilan's Morning Briefing Setup * (08:26) - How Zoe Was Built * (11:15) - Wrap-Up & Key Takeaways
47 episodios
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