CLAUDE IS MORE USEFUL WHEN YOU STOP USING IT LIKE A CHATBOT
This video shows a better way to set up Claude Cowork: not as a blank chat window, but as a workspace with global instructions, folders, memory, writing style, projects and business context that Claude can reuse instead of asking you the same things every time.
The strongest part is the folder system. One space for how you write, one for active projects, one for memory, one for business context, then Claude starts acting less like a random assistant and more like a teammate who knows the way you work.
That is where AI workflows are heading. The advantage will not come from one perfect prompt, it will come from building a setup where your assistant can draft replies, manage tasks, plan your week, understand your projects and keep context across the whole workspace.
A founder I know burns $40,000 a month on AI agent tokens. After this talk, he called his CTO at midnight.
Two Anthropic platform leads at AI Engineer. Their claim: your tokens should have jobs.
Every agent setup burns tokens the same way. Task in, budget in, all tokens doing one job. Anthropic tested what happens when you split them.
Same tasks. Same fixed budget. The gap between setups is on one slide near the middle. He paused on it three times.
They also show which common setup triples your real cost. Most teams run exactly that one.
Everyone is raising their token budget. Almost no one is giving tokens jobs
🚨A $500 CHINESE AI GIRL FARMING BOX REPLACES A WALL OF PHONES
This is a phone farm stripped down to the part that makes money: the motherboard.
Instead of 40 phones on a shelf, they pack dozens of phone boards into one small chassis. Each board runs like its own Android device, with its own AI girl account, apps, sessions and activity.
One computer controls the whole farm.
That means one operator can run 50 fake creators at once: post AI videos, reply to fans, farm comments, warm up accounts, collect donations, push paid chats and test which girl converts.
The money is not in the phones.
The money is in farming attention until one AI girl starts printing.
my chinese friend works at Jump Trading
high-frequency trader. been in NYC 13 months
$550 → $26,700 in 5 weeks
sunday his sister called. husband lost job. rent. baby coming. $12,000.
he transferred it that night. "just focus on the baby"
total cost: $0
"how?"
"Polymarket execution speed arbitrage. shrinking fast"
showed me the edge. "two months ago making $5.3K/week. now $1.9K. bots closing gap monthly"
"top wallets execute within 3 seconds of signal. retail averages 14 seconds. those 11 seconds are the ent the 3-second window"
three systems: execution speed. signal detection. capital rotation.
"built with Claude in one weekend. window closes every month"
51 hours later watching numbers
+$8,100 total. 196 trades. 74% win rate. five weeks
copy my wallet: https://t.co/onqKVgo4GP
wallets it copies:
> 0xa91f2 $78K profit. execution speed specialist
> 0x63ce3 $94K profit. exits at 91% every time
"in china we say: fast is not always good. but in this market, fast is everything"
his sister had a boy last week
mine asked when I'm getting real job
$1,000,000 in gold. Yours to win.
250 years. 250 bars. 250 winners.
Automatically enter for a chance to win with a $25+ purchase on the Gopuff app. 7/3–7/19. T&Cs apply.
Go for Gold. @Polymarket
This guy built an AI receptionist for a local moving company. $5,000 upfront, $500/month retainer after that.
Her name's Anna.
She picks up the phone, asks for the caller's name, contact info, pickup and drop-off address, then walks through availability until they land on a day and time.
Then she books it and sends a confirmation text — no human touches any of it.
This isn't a chatbot answering FAQs.
It's a standing system that runs the whole intake call and keeps working long after he's closed the laptop.
That's the real shift in 2026: he's not selling "AI."
He's selling the hours a business gets back every week.
He wrote up the exact playbook for building and selling agents like this one - it's linked below if you want the breakdown.
Everyone asks which AI does the best research. That is the wrong question.
Claude's Deep Research fired 103 agents at one topic. A 12-agent workflow beat it on every single count.
Same model. The only thing that changed was the structure.
Instead of one prompt, the method runs your topic through five experts who argue. Practitioner, Academic, Skeptic, Economist, Historian.
Each one catches a hole the other four walk straight past. Then a verification layer checks every claim against its source before anything ships.
The fix was never a bigger model or more agents. The 103-agent run had both and still came second.
A workflow that can tell when it is wrong beats a swarm that cannot.
The full step-by-step is in the article below.
ONE PERSON BUILT A COMPANY OF 7 AI DIRECTORS. NO TEAM. IN 2 MONTHS IT MADE $10,000
00:02 on screen a map of 137 skills split across 7 departments: sales, marketing, operations, customer, intelligence, back office, deals. each one is run by its own AI director.
it looks like a star map. it is actually a business that runs without a single person hired.
the numbers are simple:
> 7 AI directors instead of a 7-person team
> 137 skills running 24/7
> $10,000 in the first 2 months, zero ad spend
how to build this second brain from scratch and what each department actually earns, I broke it down step by step in the article. the whole path is there: from the first skill to the first money, with the full numbers.
comment "CLAUDE" and save this, I'll send the breakdown.
YOUR $599 MAC MINI BEATS A $3,800 GPU AT THE ONE THING THAT MATTERS
Unified memory means the model loads once and both processors read from the same pool
A windows machine with double the price still copies data between ram and vram and chokes anyway
- $130 tesla m40 from 2015 carries 24gb vram same as a brand new rtx 5090
- Mac mini m4 draws 8 to 25w and costs $4 a month in electricity
- Ued rtx 3090 hits 25 to 30 tokens per second on a 27b model for $700
- Claude haiku runs 12x cheaper than sonnet for tagging and sorting
This is the burner mix
Anything private stays on the box for free after electricity
You stop paying per token for work that never needed the expensive model
A $412/month subscription stack collapses into $130 hardware and $96 a year
The cheapest card on ebay outperforms the gpu everyone assumes you need
"I just made $30,000 in 11 minutes."
She screamed it. Camera flew to the ceiling.
Wasn't trading. Wasn't a lottery ticket.
One AI girl. One dashboard notification. Eleven minutes.
4,762 subscribers don't know her face was never real.
$13.99 a month, paid on autopilot, while she was making coffee.
The screenshot is real. The girl isn't.
Full breakdown in the article below. Save it.
Turn any LangGraph agent into a voice agent, no rebuilding required.
A how-to on:
✅ Making LangGraph the LLM layer of a voice agent built with @pipecat_ai
✅ Tracing your entire voice agents – from audio streams to end-of-speech detection to tool calls – in LangSmith
⏯️ https://t.co/w4W0vOnO2q
This trader used Claude to build a Quant Bot and made +$736,660 on Polymarket
Since Mar 3, this wallet has been bringing in about $6,190 per day and running at a little over 14 trades per hour
41,172 predictions with a 62% win rate in 119 days
This trader’s Polymarket account:https://t.co/Fx6ZkdFpH0
The bot strategy is simple:
> It leans into short crypto markets when prices are still out of sync
> Gets filled before the board fully catches up and keeps deploying the same setup across a massive number of entries
The result does not come from one outsized trade, but from pressing the same edge again and again until it compounds
Most profitable trades:
$17,839 → $36,318 (+$18,478, +103.58%)
$3,112 → $15,011 (+$11,898, +382.22%)
$10,676 → $22,178 (+$11,502, +107.74%)
What stands out here is not one lucky position. It is a repeatable short-window process that keeps turning small pricing gaps into a steadily rising PnL curve
🚨🇦🇷 Nico Páz father Pablo confirms exclusive story from Friday: “Yes, Nico stays at Como”.
“It’s the best option for him. Nico wanted strongly to play in Champions League with Como. Real Madrid have a buyback clause for Nico from next year”. 🤍🔜
CLAUDE + 5 LOOP COMPONENTS = THE FASTEST WAY TO BUILD WHILE YOU SLEEP
most people use coding agents like chatbots, then wait at every step instead of building a system that finds and completes its own work:
> Automation wakes the loop on a schedule or event
> Skill file stores the rules and project context
> State file records progress so every run continues where the last stopped
> MCP connectors pull work from GitHub, Linear, Slack and other tools
> Writer + Checker subagents separate execution from verification
before looping anything, the task needs 4 things:
repeat frequency + automated check + saved state + hard stop.
without them, the agent can repeat the wrong work forever, burn tokens and agree with its own mistakes.
the goal is not to prompt Claude more often.
it is to build a loop that finds work, completes it, verifies it and knows when to stop.
bookmark this before building your first Claude loop 👇
🚨 BREAKING:
🇮🇷Iran has just announced that even after the war ends, Israeli ships will not be permitted to pass through the Strait of Hormuz.
🇮🇱Israel has responded, warning that if Iran carries out any further provocative actions, it will have no choice but to take military action and launch new strikes against Iran.
Hedera está hecho para conectar. 🌐
@BanxaOfficial trae la compra de cripto con dinero fiat de forma regulada a Hedera, permitiendo a los usuarios comprar USDC y activos nativos de Hedera directamente a través de métodos de pago locales en más de 150 países.
Más información: https://t.co/joDhpoetwa
Descubre el ecosistema de Hedera: https://t.co/0tsl7ZDLwg