🚨this looks like an agency shot it. a crew, a drone operator, a permit, three days in the edit, and an invoice with a comma in it.
it's one person and an evening.
that's the whole argument in this piece. AI didn't invent new jobs and it didn't make anyone smarter. it collapsed the cost of starting the old ones, and the price hasn't caught up yet.
a video that needed a camera and an actor now needs a laptop. a landing page that needed a developer now needs a paragraph of English. same deliverable, same client, a tenth of the cost to produce.
six lanes are broken down in here, all of them boring and repeatable. the edge isn't knowing about them, it's finishing one.
read it 👇
she says it out loud in the video: born thirty minutes ago, on a desktop.
no rate
no two week turnaround
no round of revisions
no scheduling
she runs, dances, holds any product, and reads any script first take.
that's the part brands actually buy. not a face, a creator who never says no.
the full build is in the article 👇
ANTHROPIC LEAKED A SETUP WHERE THE AGENT READS 8 LINES AND LOADS ONLY ONE FILE - THE REST ARE FREE
a 40k prompt sits in your window on turn 40 exactly like it did on turn 1 - and you pay for it every single time.
8 skills on disk do the same work for 5k tokens - the other 7 just sit there and cost nothing.
Opus 5 reads 8 one-line descriptions and loads only the one the task actually needs.
the description is the index - write it like a filename, not like an instruction.
a skill carries what a prompt can't: SKILL.md + https://t.co/ps1HPlVv0n + template.docx - the deterministic parts stay code.
one commit and every future session gets the update - a prompt in a doc has no history and no way back.
two skills apply at once and nobody merges anything by hand - two prompts fight for the same window.
the point isn't that a skill loads - the point is that it leaves when the task ends.
one folder works everywhere - Claude Code, Cowork, API - a prompt only lives in the window you pasted it into.
same capability at an eighth of the rent - and the window finally belongs to the task, not the instructions.
save this and move your prompts into skills - your next bill will look nothing like the last one.
" this guy is a certified freak "
he built a voice walkie-talkie for Claude and now conducts a wall of AI agents by talking into a two-button remote, never touching the keyboard once.
the stack, both tools he made himself:
Arrange -> window layout app. select your terminals, pick columns, choose the monitor, hit apply. everything snaps into place. he refuses to use tabs and won't explain why
Dispatch -> the walkie-talkie. volume up cycles between agents, volume down records a voice command, and a terminal glows green the second an agent needs him
the workflow is one man running a fleet. voice a fix to the website agent, flip, tell another to shut itself down, flip, correct a sidebar bug in a third. all parallel, all by voice
he's dropping the whole kit on GitHub this month as Vibe Kit and asked people to hold him to the deadline
save this before voice-conducting a room of Claude agents stops looking unhinged and starts looking normal ↓
A YouTube channel with fewer than 25,000 subscribers made $34,000 in 90 days.
But...
the part people will copy from this video is probably the least valuable.
Claude finds recently launched channels, profitable niches, and estimated revenue.
Useful.
But a table of high-RPM niches is not a YouTube business.
Most people enter YouTube the wrong way around.
→ They pick a niche.
→ Spend days making a video.
→ Then discover nobody wanted it.
AI makes that loop much cheaper.
→ Find what is already getting watched.
→ See where the demand is.
→ Study the angle competitors missed.
→ Then use AI to turn one validated topic into a sharper script, faster edit, and better thumbnail.
The part I keep coming back to:
AI can make production cheap.
It cannot make people care about your version.
That still comes down to taste, a real point of view, and knowing when a video is boring before the audience tells you.
The creators who win will not be the ones generating the most videos.
They will be the ones who point AI at real demand before everyone else does.
Full article below👇
A 19-year-old in his BMW M3 just connected a 3.3 million synapse neural network to his personal AI agent Jarvis and instantly leveled up his entire business.
These AI agents go way beyond chatbots. They watch your screen, learn your daily patterns through the webcam and local control, and take real action. Jarvis now runs full behavioral SMS automation. It segments customers based on how they actually engage, triggers personalized follow-ups at the right time, and keeps the conversation flowing without constant manual effort.
The benefits hit hard. Tasks that used to eat hours now run on autopilot. Customer retention climbs because every message feels thoughtful and timely. Sales pipelines move faster. One agent handles segmentation, timing, and cadence while you focus on the big picture. No cloud dependency, no API keys leaking data, total local control.
He built the neural net with STDP learning and pattern recognition so Jarvis could truly understand context, not just respond. The agent sees what you're doing, adapts on the fly, and executes workflows like a tireless partner. From raw idea in the car to production system handling real revenue.
AI agents like this change the game for solopreneurs and small teams. They turn scattered tasks into seamless systems. They scale personalization at volume. They free you from the grind so you can create, decide, and grow.
Every founder ignoring agents is fighting with one hand tied. The ones using them move quicker, earn more, and stay ahead. 3.3 million synapses working for you is just the start.
Build one. Let it work. Watch what happens.