**1. WHAT THEY'RE PUSHING** Free Claude Skills plus a free mini-course funneling people into his Skool community, all under the thesis "build a content empire with AI without losing the human touch." **2. WHAT CHANGED** - **The volume of proprietary Skills.** Four named Skills in one short feed (Perfect Cuts, Media Gen, Blue Ocean v2, the positioning Skill). That's not occasional tips — it's a production line. He's building a library, and the library lives in "Classroom," i.e. inside the community. Skills are the hooks, Skool is the jar. - **Anti-tool positioning.** Two posts pitch Skills as replacements for paid tools: "KILLS Higgsfield, saving $99/month" and "every paid tool I tried was terrible." The angle is consistent: stop paying for SaaS, run Claude Skills instead. Guess: this is deliberate — "save money" is an easier first hook than "make money." - **"Stay Human" as brand-building.** An entire masterclass dedicated to the objection that AI content feels fake, plus signing posts with "Stay Human." He's trying to own a slogan, not just sell courses. - **Public iteration.** The v2 patch after user feedback, "worked with Fable 5 to identify the issues." He shows the process, including what broke. Credibility through transparency rather than polish. - **Third-party stack dependency.** Blue Ocean requires the VidIQ MCP. His Skills sit on infrastructure he doesn't own. **3. THE GAP** All his Skills solve **creator problems for aspiring creators**: cutting videos, making thumbnails, positioning a channel, monetizing YouTube. The audience is people without an existing business who want to start one. What he's not doing: Skills or systems for people who **already have a job or a sales process** and want to make it more efficient. Nothing in the material is built on documented expertise in a specific profession — it's general tools from a generalist. A channel showing "here's how I automate my actual sales role, with real numbers" wouldn't even compete with him for audience — it's a different buyer with a different problem.

1. Tweet/X: I put a stopwatch on my own workday. Confirming one meeting manually: 2 min. With my AI agent: 1 min. Times 20 meetings a day = 1.7 hours saved every week. Everyone's waiting for AI to change everything. The winners automate one boring task at a time. 2. LinkedIn: I put a stopwatch on my own job. Here are the numbers. Confirming one meeting manually through the calendar: 2 minutes. With the AI agent I built: 1 minute. Sounds tiny. But I confirm 20 meetings a day. That's 1.7 hours a week. 88 hours a year. Two full work weeks — for something I built in one evening. The agent does one thing: scrapes my meeting list and preps everything so I just hit go. No revolution. One boring task, cut in half. Most people are waiting for AI to change everything at once. So they do nothing. Take your most boring task. Time it. Automate it. Then the next one. 3. Videoscript: I put a stopwatch on my own workday — and the numbers made me build an AI agent. I book meetings all day, and every confirmation took two minutes by hand. Twenty meetings a day. So I built an agent that cuts it in half — one minute per meeting. Sounds small? That's one point seven hours a week. Eighty-eight hours a year. Two full work weeks, from one evening of building. Stop waiting for AI to change everything. Time your most boring task. Automate it. Then take the next one.