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)

Ryan provided some great feedback on his q&a call today. The DIYAi software automated a lot of manual tasks that we are currently doing for our clients (reviewing calls and rating them) and also responds to incoming messages keeping the respond rating high with Google. Looking forward to trying it out with some of my clients. Thanks Ryan.

How can a new business start to get leads on LSA? I have a couple of general contractors advertising on LSA but they don't get any leads at all. Budgets are around 6-7K per week. 15-20 5-Star Reviews. Lots of pics upload, ad schedule set to 24 hours a day. Wide geo area with well over a million people (Southern California). I know the importance of responding to messages and calls quickly, and also grading the leads. I think Ryan's software is great for that. But these clients don't even get any leads to respond to. Ad stats for one of them (Last 30 days) 773 impressions. 8% absolute top impression rate. Categories General Contractor, Kitchen Remodel, Bahtroom Remodel and many others related to General Contracting. LSA Rep said they would need way more reviews (100+) for the ad to be shown more. We are on automated bidding. Do we just stick with PPC for newer businesses that don't have 100's of reviews?

Join me in 15 minutes on a live workshop where I will discuss the following: Join here: https://streamyard.com/ab8hr68vwm Most business owners are still optimizing for humans who browse. That’s a legacy mistake. By the end of this year, Gartner predicts 40% of all enterprise tasks will be handled by autonomous agents. Even more shocking: by 2028, 90% of B2B buying will be machine-to-machine. If your business doesn't have a high Agentic Trust Score (ATS), the bots will simply "filter you out" because they are programmed to be risk-averse. Tomorrow, I’m showing you the new 2026 ranking factor: Retrieval Qualification. I’ll show you how to build a "Self-Correcting" agentic workflow that doesn't just talk, but actually executes, and how to use NotebookLM to turn your messy internal strategy into a private, high-speed training podcast for your team. We will cover: 1. The ATS Metric: Why AI agents care more about your "Inventory Fidelity" and "Policy Readability" than your flashy landing page. 2. Self-Correcting Loops: How to move from "Chatbots" to "Agentic Workflows" that follow a Plan → Execute → Validate → Refine cycle. 3. The 'Drive-Time' Strategy: Using NotebookLM's new Audio Overviews to turn 50-page reports into 5-minute executive podcasts for your staff. 👉 Call to Action: Text 561-861-3238, visit DIYAI.ai, or join the community at skool.com/diyai to plug into these next-gen AI possibilities. https://streamyard.com/ab8hr68vwm