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