A 23 year old built an AI creator that gets millions of views every month.
No camera. No real person. Just AI.
One video took minutes to make.
It reached 8.7M views in 5 days.
AI wrote the script.
AI generated the model.
AI edited the video.
Now the account keeps growing while he barely touches it.
Most people still use AI for experiments.
A small group is using it to build media businesses.
A domain is not just a name.
It is a timestamp.
The person who buys the term early pays $12.
The person who buys the same term after the market understands it pays six figures.
That is the whole game.
Most domain investors watch lagging signals:
Google Trends.
Expired drops.
Trademark filings.
News headlines.
By then, the good names are gone.
The real edge is watching words get born.
Podcast mention.
Reddit thread.
X acceleration.
Startup copy.
Buyer list.
That 48-hour window is where the money is.
You are not flipping random domains.
You are buying language before it becomes obvious.
Bookmark this before the next startup category gets named and every good domain disappears.
HE MOVED HIS ONLINE BUSINESS TO A LOCAL SECOND BRAIN IN MAC MINI AND INCREASED HIS PROFITS IN THE FIRST WEEK
Traditional databases and online folders fragment company data, making it hard for teams to retrieve context quickly
He solved this by importing his entire business operations into a local Obsidian vault, mapping folders, projects, and ideas to a visual digital garden
NotebookLM ingests this local workspace to generate structured business briefs, while Hermes Agent runs background research loops on the files
By running the entire pipeline locally on a Mac Mini, he cut cloud API costs completely and automated outreach tasks to scale his revenue
Get the step-by-step migration commands and local configuration files in the article below ↓
FABLE 5 HAS BEEN OUT 48 HOURS. PEOPLE ALREADY REBUILT POKEMON FROM SCRATCH WITH IT
That's what 48 hours of access looks like when the model actually ships
- Full interactive websites with complex animation built in a single prompt, no framework setup
- 3D characters, industrial designs, and animation sequences generated and previewed in real time
- Mobile apps assembled from scratch with live interaction testable before the session ends
- Real-time SEO and marketing dashboards with live data, built inside Claude without external tools
This is single-session full-stack output Fable 5 doesn't generate code snippets, it ships working interactive artifacts that run immediately in the browser
You can build a complete mobile app UI today, interact with it, and hand it to a developer as a functional spec not a mockup
You can recreate a competitor's tool in one session to understand exactly how it works
Fable 5 closed it in 48 hours
One creator is building a faceless GTA 6 YouTube channel before the game even launches.
No face. No team. Just Claude and GTA 6 clips.
The strategy is simple:
Millions of people are already searching for GTA 6 content.
Every video you publish now has far less competition than after launch.
The workflow:
• Grab a clip
• Let Claude write the script and hook
• Upload
• Repeat
By launch day, the early channels will already have content, an audience, and momentum.
Most creators will start too late.
The prompt is below. 👇
She runs a paid 30-day challenge 4 times a year.
Each round makes ~$7,400 and AI runs the whole thing. Here's how.
She figured out something most creators never do: a course is a "maybe later"
A challenge with a start date is a "now or miss it"
Same content, completely different psychology and roughly 3x the conversion, because nobody wants to be the one who didn't join.
Here's the exact structure.
The bait.
She films 2–3 exercises whenever she trains.
AI cuts them into short clips, writes the hooks and captions, and posts across Instagram and TikTok — 20+ clips a week, zero editing from her.
The clips show the movement, never the plan.
Views stack into the hundreds of thousands.
The open.
Doors open 10 days before each round. Every clip that week ends the same way: "Challenge starts Monday.
200 spots." Real number, real date, real deadline.
The countdown does the selling — day 9 is quiet, day 2 is a flood, the last 24 hours bring a third of all signups.
That's not luck; that's what a closing door does to people.
The delivery.
This is where AI carries it. The day-by-day plan, the daily workout drop, the check-in messages that keep people from quitting, the mid-challenge emails, the "next round" waitlist — all of it runs as a workflow she built once.
What used to need a coach and an assistant now needs her face and about $40 in software.
The math. $37 to join × 200 spots = $7,400 a round.
Four rounds a year is ~$29,600 from materials she created one time.
Between rounds, the clips keep feeding the waitlist — so every round opens to a warmer, bigger crowd than the last.
The kicker.
The 30% who finish become her testimonials.
Their before/after posts sell the next round better than any ad — and they're free.
Most creators post workouts and hope.
She posts a deadline and lets the clock do the closing.
The gap between those two isn't talent. It's structure and AI made the structure nearly free to run.
Somebody in your niche will run the first challenge.
After that, they own the start dates.
Full playbook below👇
A 34 YEAR OLD DENVER DEV BOLTED 4 REPO'D MAC STUDIO M2 ULTRAS INTO A HOMEMADE RACK FOR $6,720 AND NOW BILLS $41,900 A MONTH RUNNING KIMI K2 LOCALLY FOR US SaaS FOUNDERS
tomasz is 34, capitol hill basement, won the units off a bankrupt LA vfx house chapter 7 at $1,680 each
4x mac studio M2 ultra 192GB · exo distributed inference · kimi k2 thinking at 28.8 tok/s across 1.5TB unified
pause at 0:03 on the mac-studio-1 label, that is silicon that shipped new for $6,999 and got dumped at 24 cents on the dollar
23 seed founders pay him $1,820 a month each for private frontier inference, $41,900 MRR
$6,720 in, $61 in denver power, second client paid the whole rig back, nothing leaves the basement
the window is open, follow and bookmark before it closes
Just in: The Los Angeles Lakers are trading Deandre Ayton to the Washington Wizards for Jaden Hardy and two Wizards second-round picks in 2031 and 2032, sources tell ESPN.
Anthropic's claim: Sonnet 5's performance is close to Opus 4.8, at lower prices.
Ran four canvas animation tests through both models to check.
Opus 4.8: 4 out of 4 actually animating. Sonnet 5: 2 out of 4 came back as static images.
On the paper shredder test specifically, Sonnet 5 spent $0.36 and delivered a static image. Opus 4.8 spent $0.18 and delivered a working animation.
Half the price and twice the output, in the opposite direction of what the launch claimed.
The four tests: Win 98 drag-to-BSOD, self-typing keyboard with a CRT effect, letter burning, paper shredder.
For canvas and animation work specifically, the "close to Opus at lower prices" framing does not hold up under direct comparison. Worth testing on your own use case before switching over anything that depends on this kind of output.
Bookmark so you do not lose it!
Follow @neil_xbt for more Claude model intelligence that tests the launch claims instead of repeating them.
THE CHATBOX DISAPPEARS WHEN CLAUDE BECOMES THE MANAGER
This screen looks like The Sims for AI agents.
Every worker has a role, a task queue and visible progress.
Claude sits above them and runs the board:
- plans the objective
- routes work to the right model
- checks what comes back
- retries failed outputs
- rebuilds the strategy when the plan breaks
Grok can handle the live web.
GPT can take general reasoning.
Llama can process cheap bulk work.
The controller decides what deserves to reach the final answer.
That is the role most AI stacks get wrong.
They keep buying smarter workers when the real bottleneck is management.
The complete multi-model controller is in the article below ↓
you think you're reviewing what the AI hands you
you're not
you skim it, it reads clean, you ship it
that isn't a review
it's a signature
the lie is written in the same clean hand as the truth,
so skimming catches nothing
only making it cite each claim does
you're not the editor
you're the rubber stamp it needed to slip its mistakes past you
$8.6 Billion was spent inside GTA Online.
Creators got exactly zero of it.
GTA 6 changes that.
Rockstar built the marketplace, it's been live since January 2026.
> 1 script/week × 26 weeks = 26 products before launch.
> FiveM devs report €5,000/month within 90 days on Tebex.
> Claude Fable writes every line of code, you just publish.
> Early catalog = reviews, ratings, organic discovery on day one.
The game launches once.
The infrastructure pays indefinitely.
Bookmarked and Learn it ↓
Just in: Free agent Norman Powell has agreed to a two-year, $45 million deal with the Chicago Bulls, sources tell ESPN. Powell joins the Bulls as a potent scorer after an NBA All-Star season in Miami, averaging nearly 22 points over the last two years.
Very excited about the new documentary, The Thread of Liberty: Keeping Our Republic. Lots of great guests, writers, producers. Watch this trailer. The full documentary will be available for viewing on July 4th.
His wife found him at the kitchen table at three in the morning, forty text files open across two monitors.
Folder named “prompts_final_v9.”
Daryl, 31, contract engineer in Denver. Read every prompt-engineering thread on X. Copied the formatting tricks. Added “think step by step” to the top of every file.
The outputs got better. Then they stopped getting better at all.
“You rewriting the prompt again.”
“For the hundredth time.”
“Maybe it’s not the prompt.”
He didn’t listen for a week. The model had outgrown his tricks. What it never grew was eyes - every prompt was one shot fired into the dark, no feedback on where it landed.
Then he wrote 18 lines. A loop. while True, tool_result feeds back into the next message, repeat. No frameworks. No graphs. 6 tools, 1 loop, 0 dependencies.
First version had no guard rail. Ran 90 iterations on one task. Burned 40 dollars before he killed it.
He added three lines - a turn cap at 25, a check on stop_reason, a token budget.
Friday night he pointed it at 312 support tickets and went to sleep.
Saturday morning, all 312 were closed.
He deleted prompts_final_v9 without opening it.
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