Mar 18
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OpenClaw agents are brittle when handling multiple tasks, often leading to hallucinations. This video provides a practical guide on building scalable "multi agent systems" within OpenClaw, allowing for complex workflow automation with a single command. Learn how to architect your "open claw" setup to execute entire "ai automation" sequences, ensuring your "ai agents" perform efficiently without errors. This approach helps in "programming" advanced solutions and improving overall "system design" for robust operations. š„ Join the Openclaw Labs community: https://www.skool.com/openclawlabs ā±ļø TIMESTAMPS 0:00 - Why single agents fail 0:38 - The multi-agent framework explained 2:50 - Setting up your project structure 3:58 - Writing the Signal Detector subagent 4:40 - Writing the Enrichment Agent subagent 5:11 - Building the Orchestrator 5:51 - Model routing (save money on tokens) 6:35 - Error handling for production š WHAT YOU'LL LEARN - Why stuffing everything into one agent leads to hallucinations and bloated context - How to structure multi-agent projects in Openclaw (orchestrator.md, subagents folder) - Writing system prompts that keep agents focused and reliable - Signal tuning, boundary setting, and tool handling - Model routing: Haiku for lightweight tasks, Sonnet for complex ones - Error handling that flags bad data instead of crashing your workflow #openclaw #aiautomation #multiagent #aiworkflow #openclawtutorial #leadgeneration