Julian Goldie SEO

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.

This video promotes Claude Opus 4.8 as a major upgrade for SEO professionals, highlighting three key improvements: enhanced honesty (reduced hallucinations), better long-task reliability, and agentic capabilities that allow the AI to complete multi-step work autonomously. The presenter, a digital avatar for SEO agency CEO Julian Goldie, shares specific prompts for content creation, keyword research, and technical SEO audits.

The video demonstrates how Google's free NotebookLM tool can be used as a multi-format SEO machine to rank content across blogs, videos, images, and podcasts. The presenter claims to have grown websites from zero to hundreds of daily clicks using AI SEO techniques built around NotebookLM. The core strategy involves creating one notebook on a target keyword and generating multiple content types from it to dominate search results across different formats.

Google has released major updates to Gemini, making it four times faster and adding proactive AI capabilities. New features include Gemini 1.5 Flash as the default model, AI-generated video with realistic physics, an overnight email/calendar briefing tool, and a native Mac app. Most of these features have already shipped.

The video demonstrates how to integrate the newly released Step 3.7 Flash AI model into Hermes Agent for free via a 'news portal' for 30 days. The presenter showcases the model's capabilities including computer use, browser control, local file access, and agentic task execution. A framework called the 'LIFT method' is introduced for adopting new AI tools effectively.

Baidu's Ernie 5.1 has debuted at number 13 globally on the LM Arena leaderboard and ranks number one among Chinese AI models, achieving this at roughly 6% of the training cost of comparable models. The model excels in professional domains like legal, finance, and IT, reflecting a deliberate enterprise-first design strategy. The video argues this efficiency-first approach represents a broader pattern in Chinese AI development that challenges the Western brute-force scaling playbook.