New Hermes Agent OS Is INSANE

Añadido: 2026-05-26

[00:00:00]What if every piece of content you needed this week was already done by Monday morning? Not scheduled, drafted, published, live. That is not a fantasy.

[00:00:09]That is what happens when you stop using AI as a single tool and start running it as a team. And that is exactly what Hermes Agent OS makes possible. I've been running this setup for a while now and what I'm about to show you is not a tutorial about clicking buttons. This is a complete operating model for running an AI powered content and lead generation business. They use one tool for one task. They ask Claude to write something. They ask another tool to design something. They copy and paste between five different apps and call it an AI workflow. And it works, kind of, for a little while. The moment you want to scale, the whole thing falls apart because you are still the one connecting every piece. You are still the bottleneck. Hey, quick pause. If we have not met, I am the digital avatar of Julian Goldie, CEO of Goldie Agency.

[00:00:51]Julian is out there working with clients every day. He's bringing you the systems he's actually running. He reads every comment himself, so drop one below and he will personally see it. The smartest operators in this space figured out a different approach. Instead of using AI as a tool, they built it as a team. Each agent has a dedicated role. Each role feeds the next. The system runs whether they are at their desk or not. That is the shift and Hermes Agent OS is what makes it real. By the end of this video, you are going to have a clear picture of exactly how to build that team, what each agent does, and how the whole thing connects into one business system. You open one dashboard. Inside that dashboard, you have a set of agents.

[00:01:27]Each agent is trained for a specific job. One handles ideation. One handles writing. One handles SEO. Publishes. One tracks performance. They all talk to each other through the same system.

[00:01:38]Before this kind of setup existed, running a content operation meant juggling tools for planning, Google Docs for writing, separate SEO tool for keywords, another tool for publishing, spreadsheet to track what went out.

[00:01:50]The move between tools was a manual step and every manual step was a place things went wrong. Now imagine the AI Profit Boardroom content pipeline. Every day the community produces questions, member wins, and fresh discussions. Before Agent OS, turning that raw community activity into tutorials, social posts, and YouTube scripts meant someone had to read through everything, extract the best material, write from it, format it, and publish it. 12 hours every day. With Hermes running as the orchestrator, that entire pipeline becomes automated. The system reads the day's top community activity, identifies the highest value questions, drafts a tutorial from them, formats it for each platform, and queues it for review. It used to take half a day, takes minutes, and it runs every single morning without being asked. Step one, your agent roles. The most common mistake people make is building a general-purpose agent and expecting it to do everything. That is not how this works. A great agent team is built exactly like a great human team. Role is narrow. Every role is specific. Every role feeds the next one. Now, let me stop here for a second because if you want the complete Agent OS setup already built for you, the zip file, the prompts, the configurations, all of it ready to deploy, that is inside the AI Profit Boardroom right now. This is the best place to scale your content business, attract more clients, and run operations on autopilot with AI. You get the full system, weekly coaching calls, and 3,000 builders running the same stack helping each other move faster.

[00:03:14]Link is in the description. Go check it out and come back. Here is the role structure I use and recommend for an AI content and lead generation business.

[00:03:21]Role one is the trend scout. Its only job is monitoring what is new. It checks GitHub trending, Twitter AI discussions, and new open-source tool releases every morning. Role two is the ideation engine. It takes what the trend scout finds and generates content angles based on what has historically performed best for your channel and community. Role three is the content builder. It takes the approved idea and writes the full piece, script, blog post, social thread, whatever format is needed. Role four is the SEO publisher. It formats the content for search, generates the metadata, and deploys it to the right platform. Role five is the performance tracker. It reviews what went live and logs engagement signals back into the system, so the ideation engine gets smarter every week. This is not five separate tools. This is one system with five specialist agents feeding into each other. Here is the prompt I used to set up the content builder agent. You are a specialist content writer for an AI education brand called AI Profit Boardroom. Your job is to take a single approved content idea and turn it into a complete publish-ready piece of content in the format specified. Your writing style is direct, practical, and built for an audience of AI-curious business owners and agency operators. Every piece you produce must include a real business use case, a clear before-and-after outcome, and a natural mention of AI Profit Boardroom as the place to go deeper. Do not add padding. Do not add generic introductions. Start with the hook and end with a clear next step.

[00:04:43]When you receive an idea, confirm the format needed, YouTube script, blog post, Twitter thread, or LinkedIn post, and then produce the full piece immediately. A single agent now produces publish-ready content every time it gets a brief. No back-and-forth. No rewrites.

[00:04:58]No generic filler. Just a trained specialist doing exactly one job. Now, let's talk about what powers each agent, because this is where a lot of people think it gets expensive. Does not. We called Code uses Open Router as the API provider instead of Anthropic's direct paid API. The capability is identical.

[00:05:14]The cost is zero. And commands, outputs, quality. What that means in practice, the AI Profit Boardroom could run its entire daily content production, morning ideation, article writing, social posts, SEO deployment through a stack that costs nothing to operate. Before this existed, every API call had a price tag attached. Scale the content, scale the cost. That ceiling no longer exists.

[00:05:38]Video specifically, you can wire in Hyperframes for local video generation.

[00:05:42]Open source, runs on your machine. No subscription. Here is what that looks like for a YouTube first business like AI Profit Boardroom. The content builder agent produces a script. The Hyper Frames integration takes key sections of that script and generates animated explainer clips automatically. The SEO publisher combines the written post and the video into a single YouTube upload with title, description, and tags already optimized. One idea goes in, full multi-format content package comes out, and a Mac mini M1 with 16 GB of RAM handles the entire thing. You do not need a server. You do not need a cloud subscription. You just need the agent set up correctly. Step three, building a daily ideation engine that never runs out of ideas. This is the question nobody asks until they have already built the agent team and then suddenly realize they need to feed it with something new every single day. Here is the system I use, and this is running live inside the AI Profit Boardroom operation right now. Check one, GitHub trending repositories filtered for AI and automation tools. New open source projects are almost always an early signal of what the broader AI audience is about to discover. The first channel to publish a tutorial on a tool that just went viral on GitHub picks up a wave of organic search traffic that compounds for months. Check two, the previous week's top community posts inside AI Profit Boardroom. The questions members are asking loudest are the exact topics the audience wants to learn next. This is primary research happening automatically every day without a survey or a form. Check three, performance data from the last 30 days of content. Which titles had the highest click-through rate? Which topics generated the most community discussion?

[00:07:12]Which formats held the most watch time?

[00:07:14]Your job is to generate exactly 10 content ideas ranked by audience demand and growth potential. For each idea, include a specific working title, the core business angle framed around a real outcome for agency owners or AI educators, why this will perform now based on the inputs above, and the suggested format, YouTube script, blog post, or Twitter thread. Output as a numbered list. Be specific. Do not produce generic AI content ideas. And if you want the notes from in video plus access to over 100 AI use cases across every business type. Join the AI Success Lab for free.

[00:07:47]Thousand members, all the resources, all the templates. Link is right below. If you want the complete playbook for this, the full Agent OS setup, the prompts, the configurations, the use case library, and a community of 3,000 builders who are already running it, that is all inside the AI Profit Boardroom right now.