One creator spent 200 hours teaching Claude to edit. Another made $180,490 in 30 days. It's all inside.

​If having trouble with any links, you can read the online version here​

Hey Guys,

Here's something nobody wants to admit: most of the "work" you did today could've been done by a text file and a folder.

Sounds harsh. But this edition proves it. One creator taught Claude to edit his videos better than he can. Another replaced his entire human content team with an AI agent because the agent actually follows the process. A third closed $167,000 in new contracts without a single sales call.

The pattern across all 10 videos today? Systems beat effort. Every single time.

Let's get into it.

📌 TL;DR

This edition covers a Claude skill that cuts, edits, and assembles short-form videos end to end. Why does YouTube show your videos to the wrong people (and the 3 title fixes that repoint the algorithm). Dan Martell's 10-minute framework for designing a $10K/month productized AI offer. The local SEO microsite structure behind 50+ ranking sites. Content that shifts beliefs so buyers chase you. A $180,490 print-on-demand month broken down leak by leak. AI-written SEO content that outranks human teams. A 7-point checklist every author needs before publishing. The claude.md file that makes Claude Cowork finally click. And Google adding Instagram, TikTok, X, and YouTube to Search Console.

➡️ Your Complete Implementation Guide

Not got time to watch the videos? Grab the resources (Summary, Insights & Checklist) for each video from this Google doc

👉 ​Access Your Complete Implementation Guide Here​

1. AI Now Edits Your Videos While You Sleep

Luuk Alleman spent 200+ hours building a Claude skill that turns one long recording into 10 short-form videos. Claude transcribes, cuts, and builds a vertical DaVinci Resolve timeline, then handles B-roll and finishing touches after you approve the cuts.

What you'll discover:

• The exact workflow: point Claude Code at a raw video, get back a list of every short it can cut, then a ready-to-open Resolve timeline
• Why the skill.md file matters most: it holds 100 hours of fine-tuned rules telling Claude exactly which Python script to run at each editing stage
• The human-in-the-loop trick: fine-tune the rough cuts in Resolve yourself, push it back to Claude, and let it plan all the B-roll and visuals

🎥 Watch here​

2. YouTube Is Showing Your Videos to the Wrong People (Here's Proof)

Nadine Sykora used YouTube's own AI to audit her channel and found the algorithm pairing her videos next to Love Island recaps and Alps survival stories. 0% click-through. The fix had nothing to do with thumbnails.

What you'll discover:

• The 3 analytics reports that expose the problem: what videos yours gets suggested next to, your browse CTR vs suggested CTR gap (hers was 8.1% vs 1.9%), and the zigzag impressions chart that means YouTube is guessing
• The 3 title fixes: cut vague words like "tips" and "growth", name WHO the video is for (outright or by situation), and drop broad killer words like "money" and "recipe" that put you next to MrBeast
• Why your first 40 title characters and first description line must carry a clear "who" and "what", and why old flop videos can revive with new packaging (metadata takes about 48 hours to process)

🎥 Watch here​

3. Design a $10K/Month AI Offer in Under 10 Minutes

Dan Martell breaks down why "I do AI for you, pay me $1,000 a month" is a trap that pays less than minimum wage. The fix: productize. Sell an outcome with a method behind it, then do the backwards math.

What you'll discover:

• The backwards math: $10K goal ÷ $1,000/month minimum price = 10 clients, and why anything under $1,000 leaves no meat on the bones
• The 3-tier structure he refined live: a $444 90-minute jumpstart (one workflow built or you don't pay), a $997/month core offer (1 workflow, a dashboard, and a personalized AI agent), and a $5K/month full AI ecosystem, always leading with the core
• Why you never say "3 hours per month with me", say "training with me or my team" instead, because clients buy your standards and methodology, not your time, and why an offer doc lets you close deals entirely over chat

🎥 Watch here​

4. The Local SEO Structure Behind 50+ Ranking Microsites

Jesse Cunningham has built over 50 local microsites that cost $5 to $10 to build and about $1 a month to run. His target: Google, AI Overviews, and ChatGPT all at once. And you don't need to own a local business to profit from it.

What you'll discover:

• The mirror method: copy your Google Business Profile onto your website page for page (same services, same city, same wording), then structure it homepage → category page → service page, like "plumber Houston" → "bathroom remodel Houston" → "faucet replacement Houston"
• Why internal links beat everything: hub-and-spoke architecture, every article linking to 2+ related pages, descriptive anchor text like "water heater replacement in Houston" and never "click here"
• The specificity play that wins AI search: nobody asks ChatGPT for "plumber Houston", they ask "my garbage disposal died, who can fix it tonight", so your pages must name the exact service, area, and availability, backed by real local detail no AI could fake

🎥 Watch here​

5. Believers Are Buyers: $167K Without a Single Sales Call

Tom Youngs closed $167,000 in new contract value in one week using about 2 hours of DMs. No setter, no closer, no calls. His whole model runs on one distinction: inviting people in vs. convincing them.

What you'll discover:

• Why "I just need to think about it" is the 7 most expensive words in online business, and how to hear "Can you send me the payment link?" instead
• Why "bingers are buyers" is wrong: watching hours of your content doesn't open wallets, but content that installs a new belief system does
• The "ass off the fence" effect: how belief-shifting content moves prospects from sitting and watching to reaching out ready to buy, the engine behind his $1M+/year call-free business

🎥 Watch here​

6. Inside a $180,490 Print-on-Demand Month (Leak by Leak)

Shimmy Morris pulled $180,490 in revenue in 30 days at a 15% margin. His design hit rate: 16 of every 20 designs sell, against an industry average of 1 in 20. The difference is obsessive buyer research, not viral luck.

What you'll discover:

• The 80/20 flip: in the testing stage designs are 80% of the game (aim for 30 to 50 new designs a week feeding your catalog ads), but at $50K+/month ad creatives take over as the priority
• The mystery tee offer that added $10 to average order value: buy 3 shirts, get a limited-edition mystery tee you can't see until it arrives, gamifying the store and letting him outspend competitors on ads
• The 3 profit leaks that cost him $6K to $10K: unclaimed Printify sales tax exemption, pricing $2 below competitors (worth $7K+ alone), and undercharging $1 on shipping (another $2.5K)

🎥 Watch here​

7. Why AI Content Now Outranks Human Teams

Julian Goldie cut his human content team after watching their site get flattened by a Google update while his fully AI-automated site grew from zero to about 200 clicks a day and ranked #1 in Google AI Overviews.

What you'll discover:

• Why "information gain" decides rankings: content built on unique case-study data ranks, generic content an AI could've written without you doesn't, and why his agent follows the process while humans cut corners
• The full stack: Claude builds the site, publishes through a Netlify access token, and keywords come from Google autosuggest (trending terms Ahrefs can't see yet)
• The rank-everywhere insurance policy: blog + video + Reddit for the same keyword landed him 4 first-page spots at once, so when one property tanks the traffic keeps flowing

🎥 Watch here​

8. Never Publish a Book Without This 7-Point Check

Bookfox (a professional editor) shares the pre-publication checklist that separates books that sell from books that sink. Exhibit A: H.M. Ward's novel sold almost nothing, then hit the NYT bestseller list after one change to the cover.

What you'll discover:

• Why your cover has one job: signal the genre in half a second or less, then deliver that genre's pleasures in chapter 1, drilled down to subgenre (not "romance" but "romantasy")
• The Google test for titles: "Fallen Angels" was buried under movies and Bible commentaries, renamed to "The Third Throne" it became the #1 result, and why single-word titles like "2020" lose the search war
• The chapter 2 check almost everyone skips: readers always finish chapter 1, but chapter 2 is where they decide to quit, so it must escalate, hook fast, and end on a question

🎥 Watch here​

9. The One File That Makes Claude Cowork Finally Click

Paul J Lipsky used Claude Cowork for months before it clicked (video sponsored by Anthropic, and he says he'd have made it anyway). The unlock isn't that Cowork reads your folders. It's a plain text file called claude.md.

What you'll discover:

• The 3-part shift: Cowork works inside your actual folders, creates files directly on your computer (his teacher demo turned a folder of graded exams into a full HTML report in one prompt), and reads claude.md before every task
• What goes in claude.md: who you are, how Claude should show up, your folder map, output rules, and pointers to skills, so "analyze the new exams" replaces a paragraph of instructions
• The memory.md companion file where Claude writes down what it learns about you, fully readable and editable plain text, so your setup gets sharper the more you use it

🎥 Watch here​

10. Google Just Put Your Social Posts Inside Search Console

Edward Sturm breaks down Google's July 7 announcement: platform properties in Search Console for Instagram, TikTok, X, and YouTube. You can now see exactly which search terms send people to your social posts. Social SEO just became measurable.

What you'll discover:

• The LinkedIn keyword trick: start your post with your target keyword and it lands in the page title, meta description, AND URL slug of a domain with 99 authority, then copy-paste that same post to X, Threads, and Facebook
• Why your video descriptions need the full transcript: only Gemini can read YouTube transcripts, so ChatGPT and Claude rely on your description text to understand your videos
• The wide-open arbitrage: most creators have no idea what a keyword is, their descriptions are hashtags and 3 words, so a keyword-led posting system puts you ahead of nearly everyone

🎥 Watch here​

Your Move

10 videos. 10 systems. But knowledge you don't act on is just entertainment.

Pick ONE play from this edition and ship it today. Rewrite 3 video titles with a who and a what. Draft your $997 productized offer. Set up your claude.md file. One system, installed, beats 10 systems bookmarked.

Hit reply and tell me which one you're running with. I read every response.

Keep building,

Talk soon,

- Tony

P.S. Google's new platform properties are rolling out in Search Console over the coming weeks. The creators who start keyword-led social posting NOW will have months of data and rankings banked before everyone else even notices the feature exists. Don't wait for the crowd.