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Stop waiting! Scale your content with a multi-agent team. 🚀

Julian Goldie Agency3 July 2026Watch on YouTube

Part of series

Ep. 6 · SEO Office: je eigen AI SEO-team

Agent OS en SEO Office bieden geautomatiseerde AI-agenten die technische audits, keyword research en contentcreatie volledig overnemen.

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Description

Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Free SEO Strategy Session 👉 https://go.juliangoldie.com/strategy-session?utm=AIPB Get a FREE AI Course + Community + 1,000 AI Agents 👉 https://www.skool.com/ai-seo-with-julian-goldie-1553/about Scaling operations just got a massive upgrade with the new Hermes system. Instead of waiting for one agent to finish before starting the next, this method uses a Kanban-style workflow to deploy entire teams of agents simultaneously. By running concurrent tasks, creators can build, write, and publish multiple SEO articles or videos in one go without system freezes. This approach mirrors the efficiency of advanced orchestrators where sub-agents handle specific tasks in parallel, allowing for massive scalability. Plus, users can keep costs low by integrating free local models or existing APIs, making high-output production more accessible than ever. #AIAutomation #MultiAgentSystems #SEOStrategy #ProductivityHacks #AITools

What you'll learn

  • Multi-agent AI systems use Kanban-style workflows to execute tasks simultaneously instead of waiting for sequential completion.
  • Parallel workflows enable content creators to build, write, and publish multiple SEO articles or videos at once without system freezes.
  • Sub-agents handle specific tasks in parallel, allowing for massive scalability in content production operations.
  • Low costs remain achievable by integrating free local models or existing APIs into the multi-agent setup.

Frequently asked questions

What is the advantage of a multi-agent system with Kanban workflow over traditional sequential workflows?
A Kanban-style workflow allows multiple agents to work on different tasks simultaneously instead of waiting for one agent to complete its work. This prevents system freezes and enables simultaneous production of multiple SEO articles or videos.
How can content creators keep costs low when using multi-agent systems?
Creators can minimize costs by integrating free local models or existing APIs into their multi-agent setup. This makes high-output production more accessible without significantly higher expenses.
What types of tasks can sub-agents perform in parallel within a content production environment?
Sub-agents can handle specific tasks in parallel such as building content, writing articles, and publishing material. By executing these tasks simultaneously, massive scalability in content production is achieved.

Topics

multi-agent systemsai automationworkflow orchestrationcontent productionseo