Vertex

You won't see who's talking. You'll feel what's said

[Vertex @vrtxmedia]

Dan Martell builds a new AI company every month, chasing a $1B portfolio in under 3 years.

He just laid out 5 ways anyone can start making money with AI today. No coding, no certification, no team.

1. Build personalized GPT systems for CEOs who don't know what a system prompt is.
2. Turn one long video into 6 pieces of content with the PSL framework: point, story, lesson.
3. Ship full websites with tools like Lovable, zero code, sometimes in under 4 hours.
4. Package your own results into a paid workshop, even if you've never taught before.
5. Mine your own network with AI to find the clients already hiding in your followers.

One line stuck with me: "the intellectual property of the future is your system prompt."

Pick one. Go all in!

[Vertex @vrtxmedia]

https://t.co/4nPIYlEst3

[Vertex @vrtxmedia]

$211,572.11 in sales came from PDFs one person built with Claude in a few hours.

Most people are still guessing what to sell. He's reverse-engineering what already works.

Step 1 - a chat tool wired to Sonnet 5 scans YouTube for niches already going viral (a parenting channel pulling 7.3M views on one video) and turns the winning angle into a full PDF guide, cover to content, in minutes.

Step 2 - first product: The Family Tech Contract, a fill-in-the-blank digital safety agreement for parents. Price: $27.

Step 3 - instead of ads, he emails the same creators whose videos gave him the idea. Offer: 50% commission ($13.50 a sale), a flat fee for a 30-60 second mention, or both.

4 months later: $211,572.11 in sales, 153,939 sessions, 3.92% conversion.

He didn't build a product. He built a distribution deal.

[Vertex @vrtxmedia]

Dan Martell breaks down why one airline's AI agent success rate fell from 33% to 11%.

Most people are building chatbots and calling them agents. A chatbot replies. An agent decides, acts, and checks its own work.

He compresses the whole build into 5 letters: AGENT.

A - Aim at an outcome. Why before the how, a written definition of done, reverse prompting.

G - Give it an identity. 3 files: SOUL, IDENTITY, USER.

E - Equip it. Camcorder method (feed it your last 50 sent emails to learn your voice), plus reverse engineering.

N - Narrow the scope. One manager agent that never does the work itself it spins up a sub-agent per job and hands it off.

T - Trust in stages. Set the guardrails, approve everything first, loosen the leash, give it a heartbeat.
Then he builds one live: an inbox agent named Emilia, handling 100 emails a day, drafting every reply in his voice.

The tighter you define who it is, the better it works.

[Vertex @vrtxmedia]

https://t.co/YCo4jc77MP

[Vertex @vrtxmedia]

"Make $100k with AI in a week" videos have taken over YouTube. Decided to test it myself ran 11 AI business models through a real tier list instead of pretty slides.

No theory: googled live case studies on camera (one guy on Reddit saved $20k by automating calls with an AI agent), built a working website on the spot in a couple minutes, checked what's actually working for other people versus what's just content for views.

Sorted every idea AI websites, phone agents, SaaS, dropshipping, video live into S/A/B/C/D tiers based on three axes: difficulty to launch, scalability, real profitability.

The result was unexpected: the top tier wasn't the flashiest ideas, but the ones where AI removes not the work itself, but the friction between "had the idea" and "shipped it."

[Vertex @vrtxmedia]

https://t.co/YCo4jc77MP

[Vertex @vrtxmedia]

@NullContex1s Composability used to mean plugins and APIs. Now it means "shot the product, added a drone, nobody noticed the difference."

[Vertex @vrtxmedia]

Claude turned a spoken sentence into a 12-second Bali drone shot.

No typing. Hit the dictation shortcut, describe the shot out loud, and Claude reaches straight into Higgsfield through MCP to render it — golden hour over the Uluwatu cliffs, rendered and ready to download in the same chat.

Same connection opens Higgsfield's whole toolkit: Nano Banana Pro, Seedance 2.0, Cinema Studio 3.5, plus a built-in virality predictor before you post.

Talk to Claude. Get back a finished film.

[Vertex @vrtxmedia]

https://t.co/YCo4jc77MP

[Vertex @vrtxmedia]

@aiseomastery The line between "filmed" and "generated" is dissolving in real time.

[Vertex @vrtxmedia]

@BlockByBlockHQ That gap used to eat 80% of the creative process. Now it's just the boring part gone

[Vertex @vrtxmedia]

1X charges $20,000 for a robot that pours the wine, brews the tea, and answers your door.

It straightens a crooked picture frame without asking. It cleans the window while the man at the table keeps typing behind it. When a delivery guy shows up with 2 bags of groceries, it already has a hand out for them.

NEO weighs 66 pounds. It can lift 154. It runs at 22 decibels, quieter than the fridge humming a few feet away.

It has no face. It still knows exactly where the wine goes.

[Vertex @vrtxmedia]

https://t.co/YCo4jc77MP

[Vertex @vrtxmedia]

I pulled a prank on a robot at the Tesla Diner and it pulled the same one back on me.

Held out an empty box to Optimus. Pulled it back halfway as a joke, then handed it over again.

Didn't flinch. Just reached behind itself and filled the box with popcorn from the machine.

Then it did the exact same thing back. Held out the box, pulled it back, held it out again.

Nobody programmed that. It just read the joke and played it back move for move.

A robot arm in 2020 couldn't have caught that straight-line, scripted motion only. This one played along like it actually got the bit.

Stood there laughing alone at the Tesla Diner, next to a robot that just out-joked me.

[Vertex @vrtxmedia]

https://t.co/YCo4jc77MP

[Vertex @vrtxmedia]

5 monthly retainers at $2,000 each turn into $10,000 a month.

UGC ads have one problem. If it's not a paid Meta ad, it lives on virality. And virality runs on luck.

The only real fix is volume post enough UGC across enough platforms and luck stops mattering.

That's the exact gap AI content tools fill now. Specialized software builds UGC ads with the prompts already built in. No filming. No manual editing.

The whole business collapses into 1 skill: create the content. The client's product, marketing, and social team handle everything else.

Pricing runs 2 ways. A single AI UGC video goes for $50 to $200. The real money sits in the retainer, a flat fee for a monthly batch of videos.

5 clients at $2,000 a month: $10,000.

No camera. No studio. No hires. Software replaced the acting, the filming, and the editing you used to pay a team for.

The skill barrier just hit the floor.

[Vertex @vrtxmedia]

https://t.co/YCo4jc77MP

[Vertex @vrtxmedia]

$18,642 in 28 days came from a kids YouTube channel running on 2 free AI tools.

No face on camera. No product. Just Claude and one connector.

Step 1: open Claude, go to Settings, then Connectors, add a custom one. Name it Higgsfield. Its MCP connector sits right on their site, one search away.

Step 2: one prompt. "Give me viral nursery rhyme YouTube shorts ideas." Claude writes the concept, Higgsfield renders the video inside the same chat.

Step 3: upload. Repeat daily.

28 days later: 24,700 subscribers, revenue up 22% from the month before. "Eat Your Colors" and "Be Kind Every Day" sit in the top 5.

Everyone's been gatekeeping this. It's 2 tools and a free afternoon.

Need help setting it up? Comment "AI."

[Vertex @vrtxmedia]

https://t.co/YCo4jc77MP

[Vertex @vrtxmedia]

https://t.co/YCo4jc77MP

[Vertex @vrtxmedia]

1 prompt gave ChatGPT enough room to spit out 9 viral video ideas, Sora shot one of them, Viewmax edited the whole thing in an afternoon.

The idea: a UPS driver saves a dog from a pack of coyotes during a late delivery run.

ChatGPT wrote the script. Sora generated the footage. Viewmax stitched the voiceover, captions, and B-roll together in one place.

No camera. No actor. No dragging clips on a timeline by hand.

Step 1: ask ChatGPT for a list of oddly specific, algorithm-bait video ideas.

Step 2: drop one into Sora and let it generate the scene.

Step 3: run the clip through Viewmax for voiceover, captions, and B-roll in one pass.

The same workflow also built a thatch roof documentary that looks like it came from a real production crew.

A faceless channel used to take a team. Now it takes 3 tabs 🔥

[Vertex @vrtxmedia]

https://t.co/4nPIYlEst3

[Vertex @vrtxmedia]

@0x_Anni context bloat quietly wrecking accuracy while everyone blames the model is such a wild finding. the 32k cliff is brutal

[Vertex @vrtxmedia]

@imryven This is the part that gets skipped every time: the verifier can't share context with the worker. Same context, same blind spot, just more expensive. That one line explains half the "agentic" pipelines that quietly grade their own homework

[Vertex @vrtxmedia]

@undefinedKi Been thinking about this Karpathy clip since I watched it. "Verifiable reward" is basically why these models write flawless code but fall apart on anything without a clear right answer.

[Vertex @vrtxmedia]

$𝟭,𝟲𝟱𝟬,𝟬𝟬𝟬 𝗶𝘀 𝘁𝗵𝗲 𝗽𝗿𝗶𝗰𝗲 𝗼𝗳 𝘁𝗵𝗶𝘀 𝗹𝗶𝘀𝘁𝗶𝗻𝗴 𝗼𝗻 𝗭𝗶𝗹𝗹𝗼𝘄. 𝗜𝘁 𝘁𝗼𝗼𝗸 𝟱𝟬 𝗽𝗵𝗼𝘁𝗼𝘀 𝗮𝗻𝗱 𝗼𝗻𝗲 𝗽𝗿𝗼𝗺𝗽𝘁 𝘁𝗼 𝘁𝘂𝗿𝗻 𝗶𝘁 𝗶𝗻𝘁𝗼 𝗮 𝘃𝗶𝗱𝗲𝗼 𝘄𝗮𝗹𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵.

No camera. No drone. No agent.

The listing: 50 photos, priced near $1,650,000, sitting on Zillow exactly like every other one agents pay real money to turn into a walkthrough video.

Step 1. Copy the listing link and save the photos.

Step 2. Connect Picsart's MCP server to Claude. Paste 1 link into a custom connector and the terminal turns into a video engine.

Step 3. Drop the link and the photos into Claude. It works through the photos one by one and stitches a smooth walkthrough out of still images.

No visiting the property. No photographer. No buying a camera or a drone.

Most agents have not noticed the barrier just disappeared.

[Vertex @vrtxmedia]

https://t.co/4nPIYlEst3

[Vertex @vrtxmedia]

𝟰𝟰,𝟱𝟬𝟬 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀. 𝟴 𝘃𝗶𝗱𝗲𝗼𝘀. 𝟯 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀. 𝗢𝗻𝗲 𝗖𝗹𝗮𝘂𝗱𝗲 𝘀𝗸𝗶𝗹𝗹 𝗳𝗼𝘂𝗻𝗱 𝗮𝗹𝗹 𝗼𝗳 𝘁𝗵𝗲𝗺 𝗶𝗻 𝗼𝗻𝗲 𝗽𝗿𝗼𝗺𝗽𝘁.

Fed it a single command: /topics, plus a link to the account. It pulled 8 videos from the last 40 days and sorted them into 3 buckets.

Bucket 1: AI content-system demos. Highest ceiling, worst floor. One video hit 520,000 views — 30 times the channel average. The other two landed at 3 times normal, nothing more.

Bucket 2: named storytelling frameworks. Triple Hook Method. Modern Story Arc. Dopamine Ladder. Double Tap. Each one teaches a method in steps, closes with a comment-keyword for the full doc. Engagement holds at 4 to 14 percent, post after post.

Bucket 3: one video testing a new angle. 12 percent engagement. Nearly double the channel average, on a single try.

All of it runs on 14 slash commands mapped to one Claude skill.

Three buckets. One skill. Forty videos worth of guessing, gone.

[Vertex @vrtxmedia]

https://t.co/4nPIYlEst3

[Vertex @vrtxmedia]

𝗠𝗼𝘀𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝘀𝘁𝗶𝗹𝗹 𝘁𝗵𝗶𝗻𝗸 𝗔𝗜 𝗶𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲𝗿𝘀 𝗮𝗿𝗲 𝗷𝘂𝘀𝘁 𝗽𝗿𝗲𝘁𝘁𝘆 𝗳𝗮𝗰𝗲𝘀. 𝗧𝗵𝗶𝘀 𝗼𝗻𝗲 𝗶𝘀 𝗺𝗮𝗸𝗶𝗻𝗴 $𝟭𝟬𝗞/𝗺𝗼𝗻𝘁𝗵 𝗮𝗻𝗱 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗲𝘃𝗲𝗻 𝗲𝘅𝗶𝘀𝘁

She’s done brand deals with Victoria’s Secret and Razer. She has a full backstory, a real voice, consistent face, and memory that never breaks character.
All built with 4 simple files in Claude:

• Persona.md
• Voice.md
• Flux.md
• Brain.md

No team. No studio. Just a system that actually works.

The future of influencers is already here and most people are still sleeping on it 💤

[Vertex @vrtxmedia]

https://t.co/4nPIYlEst3