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
 
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LinkedIn - https://www.linkedin.com/company/p-and-c-podcast