Key Events This Week:
1. US Markets React to Strait of Hormuz Strikes - Today
2. May JOLTs Job Openings data - Tuesday
3. June CB Consumer Confidence data - Tuesday
4. June ISM Manufacturing PMI data - Wednesday
5. June Jobs Report - Thursday
6. US Markets Closed, Happy 4th of July! - Friday
We have a short but busy week ahead.
Christopher Nolan always refused to explain the ending of Interstellar (2014). Some fans believed Cooper never reunited with his daughter and it was imaginary. Nolan said
“You have to see it yourself. It's there. I know what I think but it’s no more valid than yours.”
CLAUDE FABLE 5 REBUILT GTA VI IN 10 HOURS WITH 4 MILLION TOKENS WHILE ROCKSTAR NEEDED 8 YEARS AND $1 BILLION
no studio, no payroll, and it cut a trailer before logging off. the wall between you and a AAA game used to be $1 billion, now it's a prompt.
兄��,麻烦做个功课先然后才决定旅行, 不然真的很难看和超丢脸哦, 因为您连1+1都不会算.
100 rmb to RM equal somewhere at 55+. For 2 bottles RM8, the abang changes back at RM44+, i don't even see there's something wrong with it lol
🔥 CHINESE ARROGANCE STRIKES AGAIN on AirAsia!
A Chinese tourist buys two bottles of mineral water for RM8 on an AirAsia flight to Malaysia. He pays with ¥100 RMB.
The crew politely gives him RM44 change.
Instead of thanking them, he gets angry and demands: “Why only RM44?! It should be RM92!”
He actually thought RMB and Malaysian Ringgit are 1:1. Then he takes out his phone and records a video, acting like he caught AirAsia scamming him.
Zero research. Zero respect. Pure entitlement.
Reality: ¥100 RMB is only worth around RM60+. The crew gave him the correct change.
This is the typical “Ugly Chinese Tourist” behavior — no humility, no preparation, just arrogance and demands when other countries don’t follow China’s rules.
Moral of the story: Some Chinese travelers still treat foreign countries like their own backyard with zero respect for local currency or customs.
Educate yourselves before traveling.
#ChineseTourist #AirAsia #UglyChinese #TravelFail #Malaysia
This Chinese guy created agents in Claude Code for landing pages and single-handedly serves 47 small businesses a month, taking $400 from each.
He built a system of 7 agents on Claude Sonnet 4.6 that analyzes Google Maps in small towns, finds small businesses without websites there, and over 1 weekend takes each one to a finished mockup with video and cold message.
No assistant, no sales team, no SDR. Just him, a MacBook, an iPhone, and 1 API key.
And traditional web design agencies keep teams of 8 people on salary for the same order flow, while his expenses are only tokens and subscriptions to Lovable, Higgsfield, and Calendly.
7 agents work through 1 orchestrator on Claude Code Router. Usage is about 3 million tokens a day, the average API bill is about $480 a month.
All 7 go through MCP servers and write shared state to the file system, without shared state in memory and without race conditions, and 1 of them lives right in the iPhone and picks up positive replies from the subway, a taxi, or on walks.
And here is the system prompt he put into the orchestrator before launch:
"You are the orchestrator of a solo agency that sells ready-made websites to local businesses. You delegate read-only tasks to 6 sub-agents and own all writes.
sub-agents:
// Scout (walks through Google Maps in selected cities, looks for narrow niches: 5+ years on the map, fewer than 50 reviews, no website or a website from 2014, but high ratings)
// Diagnoser (for each lead writes a 50-word diagnosis, hero angle, tone matched to the industry, and a cold message under 70 words)
// Builder (generates a landing page mockup in Lovable through MCP only for the top 5 leads per day, with the sharpest diagnoses and the biggest gap)
// Filmer (pulls 5 screenshots of the mockup and through Higgsfield renders a 10-second vertical video 1080x1920 with a soft zoom)
// Pitcher (sends a personalized cold message through the right channel for the niche: email to roofers, SMS to tradesmen, IG DM to salons, LinkedIn to realtors)
// Checker (runs every message through evals for personalization, absence of AI markers and buzzwords before sending)
// Mobile (lives in the iPhone, handles positive replies in real time, books Zoom calls in Calendly through MCP while the owner is on the go).
You never let 2 sub-agents touch 1 lead. You stop and request approval from the human only when a deal exceeds $3,000 or the reply rate in a niche for the day drops below 12%."
Meaning the system knows what it is and within what boundaries it is allowed to act.
It knows it is supposed to find leads on its own.
It knows it is supposed to take each one to a mockup, video, and cold message without intervention.
It knows the human only steps in when a deal goes above $3,000 or the reply rate stops converging.
→ The system runs 24 hours a day
→ Scout goes through about 220 local businesses on Google Maps per day and leaves 30 new leads in the queue
→ Diagnoser outputs 30 structured diagnoses + briefs + cold messages per day
→ Builder assembles 3 to 5 finished landing pages in Lovable for the sharpest leads
→ Filmer renders a 10-second vertical video in Higgsfield for each one
→ Pitcher sends 30 personalized messages per day across 4 channels with a reply rate of about 14%
→ Checker runs every message through evals before sending
And only when a deal breaks $3,000 or the reply rate for the day drops below 12% does the orchestrator wake the owner.
And when the owner at that moment is sitting in the subway or a taxi, the Mobile agent in his iPhone picks up 1 move on its own: replies to a fresh positive reply from a dentist, books a Zoom through Calendly synced to the local time of the client, and puts the lead back in the queue. The owner only has to tap "approve" and in just 10 minutes join the call.
Here is what the system writes in his log during 1 of the Saturdays:
"scout report: 218 businesses checked in Austin, Denver, and Miami, 34 without a website, 19 with a website from 2014, 6 with an active redesign request in reviews. passing top 30 to diagnoser."
"pitcher: 30 cold messages sent across 4 channels, 14 replies, 5 positive, 3 Zoom calls booked for Sunday. passing to closer."
"builder: landing page for Westside Cosmetic Dentistry built in Lovable, 5 sections, mobile, soft beige. URL placed at /Users/dev/maps-agency/clients/westside/v1. filmer launching Higgsfield."
"eval flag: deal with The Lotus Salon at $3,400 exceeds the approved limit of $3,000. sending for manual review."
He has no server of his own and no separate backend.
Just a local file sandbox at /Users/dev/maps-agency, an MCP router, 1 API key to Claude, and the same key forwarded to Claude Code on his iPhone.
Out of everything I have seen this year, this is the cleanest one-person agency for selling websites to small businesses: $480 a month on the API, about $18,800 into the account, and between them 7 prompts, 1 file system, and 1 phone in the pocket.
Most people say "build an AI agent."
Very few know what that actually means.
Here’s the real blueprint to go from idea → working agent 👇
1. Define the job
What problem are you solving?
Who’s the user? What does success look like?
2. Design the brain
Clear system prompt, role, instructions, guardrails
(This is where most agents fail)
3. Pick the right model
Speed vs cost vs intelligence
Don’t overpay for simple tasks
4. Add tools
APIs, databases, MCP servers, custom functions
Agents become powerful when they can act, not just answer
5. Give it memory
Short-term + long-term context
So it learns, adapts, and improves over time
6. Orchestrate everything
Workflows, triggers, retries, agent-to-agent communication
7. Build the interface
Chat, app, API, Slack bot
Make it usable, not just functional
8. Test + improve
Evals, latency checks, real-world feedback
Iteration is the real moat
💡 Truth:
An “AI agent” isn’t one prompt.
It’s a system.
And the people who understand systems…
are the ones building unfair advantages right now.
📌 Save this (you’ll need it when you build)
🔁 Repost for builders
➕ Follow @elora_khatun for practical AI breakdowns (no fluff) 🚀
Claude just dropped 13 FREE AI courses (with certificates).
No $500 course needed.
No “guru” required.
Just real skills — straight from Anthropic.
Here’s the full list:
👇
1. Claude 101
https://t.co/1gEksLkCgq
2. AI Fluency: Frameworks & Foundations
https://t.co/nrXqaIlqfX
3. Introduction to Agent Skills
https://t.co/mIXLN80LcF
4. Building with the Claude API
https://t.co/1IPr1xUbKP
5. Claude Code in Action
https://t.co/yLq0ALxsoS
6. Introduction to Model Context Protocol
https://t.co/LQMokK6wEa
7. MCP: Advanced Topics
https://t.co/FAkddn20o0
8. AI Fluency for Students
https://t.co/ZiDeF26F6q
9. AI Fluency for Educators
https://t.co/QPSxc1JvUQ
10. Teaching AI Fluency
https://t.co/Iu8y7oi9tw
11. AI Fluency for Nonprofits
https://t.co/ioOj1BF2Tx
12. Claude with Amazon Bedrock
https://t.co/VOvBJsHdVP
13. Claude with Google Vertex AI
https://t.co/iSwwxTKFJM
—
If you go through even HALF of these…
You’ll be ahead of 95% of people using AI.
Most people won’t.
Because they’re still:
• Watching random YouTube videos
• Buying overpriced courses
• “Learning AI” without actually building
Don’t be that person.
Do this instead:
1. Save this post (you’ll come back to it)
2. Pick 1 course → start today
3. Share it with someone who needs this
Free. Practical. No excuses.
🚨 Anthropic's own team just showed how to actually use Claude Code properly.
30 minutes. free. the person who created Claude Code.
watch the workshop. bookmark it.
worth more than every $500 course you almost bought.
you've been using Claude without knowing 40 of its commands.
Then read the guide below.
6 Lightweight alternatives to OpenClaw
▪️ PicoClaw
▪️ nanobot
▪️ ZeroClaw
▪️ IronClaw
▪️ TinyClaw
▪️ MimiClaw
Here, you can learn everything you need to know about OpenClaw phenomenon + find links to these alternatives and use cases examples. We analyze the architecture, the hype, and why it changed the agentic discourse: https://t.co/ULpa1rDuGF