
Hosted by Julian Goldie · EN

Turn NotebookLM Into a Self-Running Content Machine (Goldie Infinite Knowledge Engine Setup)The script explains a new setup for using Google’s free NotebookLM as a “full content machine” that can turn a single source (websites, PDFs, Google Docs, audio, etc.) into 12 different media formats such as podcasts, videos, slide decks, infographics, FAQs, reports, and flashcards. It argues most users waste NotebookLM’s potential by using it manually and describes the “Goldie Infinite Knowledge Engine,” a three-layer system: a knowledge vault for storing sources, a local agent operating system that connects to NotebookLM via an MCP bridge so agents like Claude, Hermes, and OpenClaw can operate it, and an infinite loop that regenerates content as new knowledge is added. The script contrasts an 8-hour manual workflow with a 20-minute automated process and promotes the AI Profit Boardroom for the full setup, prompts, roadmap, coaching, tutorials, and community.00:00 NotebookLM Power Unlock00:51 Cleaner Agent OS Setup03:01 NotebookLM Basics and Outputs03:46 Why Standalone Fails04:56 Goldie Knowledge Engine05:14 Three Layers Explained07:23 Manual vs Automated Workflow09:08 Dashboard and Obsidian Memory10:42 Real Use Cases Ideas11:24 Boardroom Offer and Proof12:35 Wrap Up Community Wins

OpenClaw 5.2: Huge AI Agent Update & Discord Voice SupportDiscover the massive improvements in OpenClaw 5.2, including Discord voice handoff and enhanced security via the "Doctor" tool. Learn how to streamline your AI agent workflow, fix Windows install issues, and scale your operations with the new Agent Operating System.00:00 - 00:00 - Intro00:44 - Discord Voice Integration02:04 - OpenClaw Doctor: Security First03:09 - Smarter Model Status & Tracking04:01 - XAI Remote Server Login05:02 - Windows Installation Fixes06:47 - Scaling with Agent OS09:06 - Safety: Backups & Updating

Six Days That Changed AI Security: Claude Mythos, Cloudflare’s Harness, the Pentagon Task Force & Japan’s BanksBetween May 15–21, 2026, six rapid events signaled a major shift in AI-driven cybersecurity: Claude Mythos Preview became the first model to solve both UK AI Security Institute cyber attack simulations, including a 32-step offensive chain, completing it 6/10 times. Cloudflare’s Project Glasswing postmortem then admitted the model alone is “the wrong tool for achieving high coverage,” describing a multi-agent vulnerability discovery harness. Anthropic and Cloudflare launched Claude Managed Agents on Cloudflare, “decoupling the brain from the hands” by running the core loop on Anthropic while execution can run on Cloudflare. Cloudflare’s CSO said Mythos reasoning resembled a senior researcher and could chain low-severity bugs into high-risk exploits, while noting guardrails can fail under rephrasing. The Pentagon announced an offensive AI task force, and Japan’s three mega banks began preparing for expected autumn AI-driven attacks via a 36-entity working group. The script argues the common pattern is building systems around frontier models rather than deploying them raw, and promotes an “agent operating system” via AI Profit Boardroom.00:00 Six Days That Changed AI01:01 Mythos Cracks 32 Steps03:27 Cloudflare Harness Reality Check05:17 Managed Agents Brain Hands Split06:55 Senior Researcher Level Findings10:01 Pentagon Goes Offensive11:18 Japan Banks Brace For Autumn12:33 Systems Not Tools Takeaway12:58 Agent OS Pitch And Demo14:23 What Is Claude Mythos16:32 Build Your Own Agent OS18:04 Wrap Up And Thanks

Hermes Agent OS: The Free Setup to Automate Lead Outreach, Content & Support (Community Q&A)Julian explains how Hermes Agent Operating System can automate key business tasks like lead outreach, content calendars, and customer support, sharing community wins from Amanda and Jerry who set up scheduled tasks in under 30 minutes. He answers questions about using open-source agents with a mix of closed and free models via APIs (e.g., OpenRouter/OwlAlpha) and discusses Gemini Omni for video creation. He shows how to enable web research in Hermes using Firecrawl, BrowserBase, and Groq for Twitter search, and outlines a LinkedIn/X content approach using AI avatar videos and caption posts with prompts. He recommends prioritizing AI services around lead generation, demonstrates connector options in Claude, suggests using daily scheduled task check-ins to track KPI progress, advises simplifying agent setups when they break, and points viewers to AI Profit Boardroom training, zip files, prompts, coaching calls, and the community wins section.00:00 Hermes Agent OS Intro00:40 Community Wins Spotlight01:25 Open Source vs Models02:09 Gemini Omni Quick Look02:32 Web Research With Hermes03:17 LinkedIn Content System04:30 Agent Harness Explained04:53 Setup Guides And Leads05:52 Build In Public Strategy06:52 Best AI Service Focus07:37 Boardroom Access And QnA08:28 Jerry Win Scheduled Tasks09:30 Claude MCP Connectors10:24 Three Videos A Day11:34 KPI Tracking Scheduled Reports13:29 Free Manus Alternatives14:15 Agent Vibes TTS Project14:37 Omi Second Brain Overview16:36 Biggest Time Saving Automation18:05 Skool Autoresponder Options19:32 Hermes Setup Troubleshooting21:01 Best Free Setup Tips21:45 Wrap Up And Next Steps

Hermes Agent’s Free Browser Upgrade: 250 Skills + Agent OS to Run Web Tasks 24/7 (No Code)The script explains a major free upgrade to Hermes Agent that enables AI agents to browse the web and complete tasks like bookings, lead generation, data tracking, and form filling using a free library of 250 pre-built browser skills from Browse.sh/BrowserBase. It walks through basic setup in Hermes Agent, including installing Browse via an npm command, listing and installing skills, and demonstrates simple web navigation. The presenter introduces an “Agent Operating System” as a control tower to manage many browser agents from one screen and outlines the “conductor stack” framework: the user sets vision, Hermes translates plain English into actions, browser skills perform site tasks, Agent OS provides SOPs/memory/routing, and outputs can run 24/7. It addresses common myths about complexity and fragility and promotes the AI Profit Boardroom for full guides, files, prompts, training, and support.00:00 Hermes Browser Upgrade01:35 What Browser Agents Do02:04 Install Browse Skills02:35 Explore Skill Catalog03:10 Agent OS Control Tower05:22 Conductor Stack Framework06:14 Live Demo In Hermes09:30 Myths And Proof11:40 How The Stack Fits12:51 Recap And Boardroom14:17 Q&A Small Business Uses15:58 Closing Thoughts

How to Run Claude Code for Free Forever (1M Context Tokens + Agent OS Memory Stack)The script explains how to use an open-source project called Free Claude Code to run the Claude Code CLI for free by routing it to alternative model providers, specifically a free one-million-token context model called OwlAlpha on OpenRouter. It demonstrates the setup inside a custom “Agent Operating System” dashboard that unifies multiple AI agents (e.g., Claude, OpenClaude, Hermes, Gemini) with persistent memory and tools via an Obsidian vault, plus workflows like SEO tools, a studio for video/image/TTS generation, Kanban task management, journals, and status monitoring. The presenter outlines a four-pillar stack (model, Free Claude Code, memory/connections, dashboard), addresses common myths about Claude Code and free models, and directs viewers to a paid AI Profit Boardroom for guides, prompts, files, coaching calls, and community support.00:00 Free Claude Code Hook00:42 Live Demo In Agent OS02:03 What Free Claude Code Is02:55 Routing Models With OpenRouter03:46 Agent OS Explained05:41 Four Pillar Stack06:29 Obsidian Memory Engine08:34 Six Myths Debunked11:23 Why Agent OS Wins13:22 Recap And Next Steps14:09 Boardroom Offer And Support15:09 Community Proof And Wrap

Google I/O 2026: Gemini 3.5 Flash, Antigravity 2.0 & Spark—Why the Agentic Era Just StartedThe script argues that Google I/O 2026 marks a major shift as Google rebuilds its ecosystem around AI agents, citing rapid growth in token processing (3.2 quadrillion per month) and user adoption for Gemini and AI Mode in Search. It highlights Gemini 3.5 Flash as a faster, cheaper, more agent-capable model and introduces Antigravity 2.0 as a standalone desktop command center for running many agents in parallel, showcased by a demo where 93 sub-agents autonomously built an operating system. It also covers Gemini Spark, a 24/7 cloud-based personal agent with tool access via connectors, plus new Search features like Information Agents, generative UI, and a universal shopping cart. The script emphasizes that results compound when agents are paired with a memory-based “agent operating system,” and promotes the creator’s AI Profit Boardroom setup to implement it.00:00 AI Takeover Begins00:27 Adoption Numbers Explode01:10 Gemini 3.5 Flash02:35 Antigravity 2.0 Agents03:59 Why Results Feel Generic05:02 Gemini Spark Always On07:21 Search Information Agents08:32 Google Ecosystem Shift09:13 Objections And Reality10:40 Build An Agent OS12:43 Action Steps And Setup14:28 Final Roadmap Recap

Google Gemini 3.5 Flash: Build Websites & Run AI Agents 24/7 in an Agent OS DashboardThe video introduces Google’s newly released Gemini 3.5 Flash and demonstrates how to use it to automate work, build and deploy full websites, and run multiple AI agents in parallel inside an Agent OS “mission control” dashboard. It shows Gemini 3.5 Flash’s speed and highlights benchmark gains over prior Flash and even Gemini 3.1 Pro on coding and agentic tasks (e.g., 76 vs 58 on TerminalBench and 83.6% vs 78% on agentic tasks). The presenter explains integrating Gemini via CLI and OpenRouter into tools like Hermes and pairing it with Antigravity 2.0 sub-agents to execute multi-step workflows, create animations, generate images, and manage outputs that compound over time. It also notes Gemini Spark uses 3.5 Flash but is beta-only for US Google AI Ultra users, while 3.5 Flash is available to everyone.00:00 Gemini Flash Reveal01:13 Speed Demo Setup01:41 Agent OS Dashboard Tour03:20 Benchmarks Key Benefits04:50 Spark Availability Options05:42 OpenRouter Hermes Setup07:25 What Is An AI Agent08:47 Agent OS Explained10:22 Goldie Command Layers13:56 Get The Agent OS14:38 Belief Shifts Examples17:34 Recap Next Steps

Hermes + AntiGravity Masterclass: Build an Agent Operating System (Context, Models, Migrations & Automations)Julian shares his setup for combining Hermes and AntiGravity so AI agents understand personal context and improve over time, then answers community questions about AntiGravity 2’s changes (removal of the built-in IDE/terminal), agentic workflows, and whether n8n is still worth using versus faster Hermes automations. He covers handling long-document context limits with model choice (including Claude), compacting, and chunking; recommends building a personal context engine in Obsidian over NotebookLM for long-term memory; discusses open-source/local model options via Ollama and LM Studio (including Hermes-focused and quantized models, plus Gemma as a lightweight choice); and explains migrating from OpenClaw to Hermes. He also outlines agency use cases like deploying SEO content, building/ranking sites, Twitter growth, and AI avatar marketing, and invites viewers to the AI Profit Boardroom for training, guides, coaching calls, and testimonials.00:00 Hermes Meets Antigravity00:39 Community Q&A Kickoff00:44 Antigravity 2 Changes01:24 n8n Workflows and Training01:39 Boosting Agent Context02:39 Automation Content Ideas03:25 Budget Friendly Setup04:17 Is n8n Still Worth It05:10 Beginner Automation Advice05:55 Beating Context Limits06:48 Infinite Context Engine08:11 Best Local Models09:50 Obsidian vs NotebookLM10:36 Migrating to Hermes11:21 Claude Code in Antigravity12:05 Agency Stack and Processes13:18 ChatGPT vs Gemini13:39 Join the AI Profit Boardroom

Google Antigravity 2.0: Build a Full AI Agent Command Center (Agent OS + Memory + Gemini 3.5 Flash)Google Antigravity 2.0 is presented as Google’s most advanced agent platform, redesigned with a new UI and powered by Gemini 3.5 Flash, enabling multiple autonomous agents to work in parallel on tasks like building websites, creating content, generating images, and automating work. New features highlighted include dynamic sub-agents, scheduled tasks, artifacts, project grouping, live voice transcription, and added customization via MCPs. The script shows how connecting Antigravity via the Antigravity CLI into an Agent OS “command center” improves usability, organization, and cross-agent collaboration (e.g., Hermes, Gemini, Claude) while keeping history and files in one workspace. A key differentiator is adding a memory loop using Omi (passive daily capture) exported into an Obsidian vault, giving agents persistent context and creating a feedback flywheel the script calls the “Goldie Gravity Grid.”00:00 Antigravity 2.0 Hype00:56 New Features Tour02:27 Agent OS Integration03:08 CLI Demo Setup05:07 Website Builds Showcase07:52 Models And APIs08:42 Memory With Omi12:35 Goldie Gravity Grid15:47 Why Standalone Fails17:13 Mindset And Roadmap19:08 Final Setup Recap