Julian Goldie SEO

The video covers Google's major Gemini AI updates announced at Google I/O, including Gemini 3.5 Flash, Gemini Spark, Daily Brief, and Gemini Omni. The presenter walks through each feature's capabilities and provides practical workflow examples for business owners. The updates are framed as a significant leap toward autonomous AI agents that actively work on behalf of users.

The presenter demonstrates a voice-enabled AI agent called Hermes, powered by MiniMax's M3 model, built into an 'Agent Operating System.' The system allows users to control AI agents through natural voice conversation without coding, and supports image/video generation, live Twitter search, and multi-agent management. The video concludes with a pitch for the AI Profit Boardroom community where the full system is available.

The video demonstrates how MiniMax M3 AI can be used for SEO tasks including keyword research, content generation, image creation, and website building. The presenter showcases how plugging M3 into an 'Agent Operating System' (Hermes) enables autonomous, multi-modal SEO workflows. Real ranking results in Google search, image search, and AI mode are shown as proof of effectiveness.

This video introduces the Hermes AI browser agent, a dashboard-based system that allows users to manage multiple AI agents in one place without coding. The presenter demonstrates how it can build websites, content plans, and automate SEO tasks. A key feature highlighted is a 'memory layer' using tools like Obsidian to give AI persistent context across sessions.

The video promotes an 'Agent Operating System' that integrates NotebookLM with tools like Obsidian, Hermes, and Hyperframes to create a unified AI content production system. Three new NotebookLM updates—improved audio quality, notebook sharing, and expanded source types—are presented as dramatically more powerful when connected to this system. The setup is described as free, no-code, and capable of reducing content creation time from 8 hours to 20 minutes.

Hermes, an open source AI agent, has released an MCP catalog that simplifies tool integration by replacing complex manual setup with a simple menu-driven installation process. The update introduces security controls, parallel execution, and auto-updating capabilities, making tool connection significantly more accessible.

This video demonstrates a three-prompt SEO research workflow using Google's NotebookLM and Google AI Studio. The presenter claims these free tools can automate keyword research, identify content gaps, and generate a fully built landing page from a single topic. The workflow replaces hours of manual SEO research with a few minutes of AI-assisted steps.

The video introduces an 'Agent Operating System' (Agent OS) combining Minimax M3 and Hermes AI into a unified mission control dashboard for generating images, videos, and voice content. The presenter highlights M3's one-million-token context window and its ability to run autonomously for up to 24 hours, contrasting this with the fragmented, multi-app approach most users currently rely on. The video concludes with a pitch for the 'AI Profit Boardroom' community offering setup guides and coaching.

The video showcases seven practical use cases of Google's new Gemini Flash model, demonstrating its ability to analyze images, process long videos, review contracts, generate code, transcribe audio, debug errors, and operate across Google apps. The presenter argues that Gemini Flash outperforms the larger Pro model and highlights a hidden settings tweak that improves answer quality. The content is framed around real business workflows used for the presenter's AI Profit Boardroom community.

The video demonstrates how to combine China's newly released Minimax M3 AI model with the Hermes Agent to create a free, autonomous AI worker capable of running tasks for up to 12 hours. The presenter walks through installation, live testing of agentic tasks like opening apps and scheduling, and explains the brain-body analogy between Minimax M3 and Hermes. A cloud-hosted alternative called Max Hermes is also introduced.

Julian Goldie breaks down the major NotebookLM updates from late 2025 through April 2026, including the new cinematic video overviews powered by three AI models. He then explains how he pairs NotebookLM with the open-source Hermes agent and Obsidian to build a persistent, personalized content pipeline for his AI Profit Boardroom community.

This video covers Google's new Gemini Spark feature, an agentic AI tool available to Google AI Ultra subscribers in the US that can autonomously execute tasks in the background without requiring the user's screen to be active. Spark operates on three core components — tasks, schedules, and skills — and integrates directly with Google apps like Gmail, Calendar, Drive, and Docs. The presenter positions Spark as a major shift from AI that merely responds to AI that independently takes action.

The video demonstrates how to set up multiple AI models and agent profiles within Hermes Workspace, while honestly acknowledging the platform's syncing difficulties. The presenter also promotes their own 'Agent Operating System' as a simpler alternative, showing features like agent swarms and model switching. The tutorial is framed around answering a community member's question about adding multiple models to Hermes.

The video introduces Hermes + Agent OS, a free AI operating system that allows users to run Claude, Gemini, and ChatGPT together in one platform. It enables multi-agent workflows, skill bundling, and automated learning from user notes, with one-click server deployment for 24/7 operation.

Julian Goldie presents a seven-layer blueprint for building an 'Agent Operating System' that unifies AI tools like Claude, ChatGPT, and Hermes into a single, persistent, self-improving workflow. The system addresses the core problem of context fragmentation across AI tools by introducing a shared memory layer and feedback loop. The video also promotes his paid community, the AI Profit Boardroom, as the place to access full implementation resources.

Google has launched an AI agent inside Google Flow that can plan videos, batch generate multiple scene versions, apply edits across all clips simultaneously, and automatically organize project files. The agent essentially replaces three traditional roles—writer, editor, and assistant—by allowing users to direct the entire video creation process through plain language. The presenter argues this dramatically lowers the skill barrier for video production.

The video introduces Anti-Gravity CLI, a tool Google launched at IO 2026 to replace Gemini CLI, which enables multiple AI agents to run in parallel on different tasks simultaneously. The presenter demonstrates three practical multi-agent workflows applied to managing a community called the AI Profit Boardroom. The core argument is that parallel AI workflows represent a fundamental shift from the one-prompt-at-a-time model most users currently rely on.

The transcript covers Claude Opus 4.8 and its new 'Ultra Code' feature, which enables parallel multi-agent processing. A single instruction spins up hundreds of sub-agents working simultaneously, with dedicated review agents acting as quality judges. The system is designed for both technical and non-technical users.

The video introduces Google Antigravity 2.0, a rebuilt AI coding and task management tool unveiled at Google I/O on May 19th. The presenter highlights five major new features—sub-agents, asynchronous tasks, scheduled tasks, JSON hooks, and voice input—arguing it transforms from a coding tool into a team of autonomous AI workers. The video is also a promotional pitch for the presenter's paid community, the AI Profit Boardroom.

The presenter demonstrates how to build a custom 'Agent Operating System' (agent OS) that serves as a visual mission control for managing multiple AI agents, without requiring coding skills. Using Claude as a coding assistant, the presenter shows how open-source agents like Open Jarvis can be integrated into a unified dashboard in minutes rather than weeks. The system is designed to continuously evolve as new AI models and agents are released.