I'm going live in 90 minutes to discuss the following: 🔥 THE $0/HR WORKFORCE: How to Build a Multi-Agent Empire That Runs Your Entire Business
Join here: https://streamyard.com/ab8hr68vwm This is the topic: Most business owners are still stuck in the "chatbot" era—typing prompts and waiting for answers. That is a legacy mistake. In 2026, the winners are building Multi-Agent Systems: a fleet of specialized "Silicon Employees" that talk to each other, share data, and execute entire departments while you sleep. Tomorrow, I’m pulling back the curtain on Orchestrated Autonomy. I’ll show you how to stop managing tasks and start managing agents. We are going to dive into the new Small Language Model (SLM) revolution that gives you enterprise-grade speed and 100% data privacy without the massive cloud bill. Plus, I’ll show you how to use NotebookLM to turn your messy SOPs into a private training podcast that gets your new hires up to speed in 15 minutes. If you want to scale without the headcount drama, I’ll see you at 2:00. 📚 3 Fresh Topics for Tuesday 1️⃣ Orchestrated Autonomy: The Shift to Multi-Agent Workforces The Meat: Instead of one AI doing everything, 2026 is about "Task-Specific Agents" collaborating through a central "Brain." One agent handles the SEO audit, one drafts the content, and another schedules the post—all sharing context so you never repeat yourself. The Result: Companies adopting multi-agent systems are reporting a 60–80% reduction in routine task handling time. Source:(https://sintra.ai/blog/best-conversational-ai-agents) 2️⃣ Small Language Models (SLMs): Enterprise Power on a Budget The Meat: Big models like GPT-4 are jacks-of-all-trades; SLMs (like Mistral 7B or Phi-4) are specialists. They are 10–100 times cheaper to run, offer near-zero latency, and can be hosted locally to keep your customer data 100% private. The Result: Specialized SLMs are now achieving 35% fewer critical errors in regulated industries compared to generic LLMs. Source:(https://www.alithya.com/en/insights/blog-posts/why-small-language-models-are-reshaping-future-enterprise-ai)