An Anthropic engineer literally stopped me at a coffee shop because of what was on my screen.
I was sitting at Sightglass running my Polymarket bot.
He looked over once.
Then again.
Then said:
“That’s not a normal trading setup.”
I told him the whole thing runs on:
• Claude Code
• 4 open-source repos
• $25/month
That’s it.
He pulled up a chair instantly.
“I work on the agent team at Anthropic,” he said.
“We stress test Claude for workflows exactly like this.”
Then I showed him what the bot was actually doing.
86 MILLION trades analyzed.
Every wallet.
Every entry.
Every exit.
Every profitable pattern.
One prompt:
“Find wallets with 100+ trades and 70%+ win rate. Rank by profit. Export the best ones.”
Claude scanned 14,000 wallets in 4 minutes.
Returned 47.
The top 20 wallets made more money than the other 13,000 combined.
He stared at the results and said:
“That’s not data analysis.
That’s a weapon.”
And we were just getting started.
Second repo:
A Rust CLI scraping 500 live Polymarket markets in minutes.
Claude filtered everything automatically:
• spread gaps
• liquidity depth
• timing windows
• whale behavior
500 markets became 35.
Before I even looked at them.
93% rejected automatically.
Then a trade closed live on my screen.
+$84.
He didn’t even blink.
“How does it decide when to enter?”
3 independent AI agents:
• arbitrage
• convergence
• whale-copying
No shared memory.
2 agents agree = full position
1 agrees = half size
Disagreement = no trade
That consensus system alone cut 40% of losing trades.
Then he asked the real question:
“What about exits?”
That’s where it gets stupid.
The profitable whales rarely hold to settlement.
91% exit early.
So my bot exits BEFORE they do.
It takes profit at:
• 85% expected move
or
• unusual volume spikes
Basically:
It copies smart money…
then front-runs their exits.
He just sat there staring at the terminal.
“How much did you start with?”
$200.
27 days ago.
Current balance:
$14,300.
271 trades.
74% win rate.
Sharpe ratio: 2.47.
Fully automated.
I haven’t touched it in weeks.
Before leaving he said:
“This is almost identical to the internal scenarios our red team simulates.”
Next morning I got an email from him.
“Would you be open to speaking with our policy team?”
I replied:
“The article IS the meeting.”
The craziest part?
This stack costs less than Netflix.
AI is no longer replacing workers.
It’s replacing entire hedge funds.
Comment “Claude” if you want the framework.
Anthropic engineer:
"99% of people use Claude Code like Google, and only 1% are running swarms of self-learning Claude agents
I'm running 100+ agents in a loop. I have Chief agent, PM agents - they manage the whole team"
in a 30-minute workshop, an Anthropic engineer revealed how to get max value from Claude Code at min. cost
this is worth more than another $500 vibe-coding course
watch today, then read the full guide for Loop + Jev engineering with Opus 5.5 in the article below ↓
Andrej Karpathy spent 8 years at OpenAI and Tesla
Last week, he condensed everything he knows into one free 2-hour lecture
Agents → Loops → Harness → Self-Improving Systems
People pay $14K for bootcamps that teach less than this
This lecture beats most paid AI engineering courses
You probably don't have 2 hours right now
Don't let this disappear from your feed
Watch it
Then read the article below
Andrej Karpathy:
"Prompting is going away.
Delete everything, keep Graph."
In 1 hour he shows how to build Graphs, and why it's the only thing that will be left standing at the end
LLMs → Prompts → Agents → Graphs
a prompt gets you one answer and forgets the job
an agent finishes the job and forgets what it learned
a graph keeps every finished job and turns it into the starting point for the next one
watch it today
then save the full guide on Graphs below before everyone catches up ↓
🚨 ANDREW NG JUST DROPPED A 2-HOUR MASTERCLASS ON GRAPH ENGINEERING — FROM ONE AGENT TO FULL AUTOMATION.
9:14 — Build your first agent
33:11 — Loop engineering
1:02:46 — Graph engineering
1:30:15 — Agents that rewrite themselves
1:49:05 — Build the full graph system
Two hours that could replace every agent course you bookmarked this year.
Prompts → Agents → Loops → Graphs
Most people build one agent and call it “automation.”
Andrew Ng shows what comes next:
A graph that connects everything, adapts, and keeps the workflow running without constant human input.
Same model.
Same tokens.
A completely different level of automation.
Watch it today.
The step-by-step guide is below ↓
Save this before everyone discovers it.
Andrej Karpathy just broke the entire premise of modern AI:
"Agents aren't magic. They're distillation at scale."
99.99% of your LLM's capacity is is generating garbage at scale and you can't see it."
Small model + right tools + closed loop = terrifying capability.
In a 20-minute conversation, Karpathy reveals the full reasoning stack
Worth more than any $500 AI course you've seen this year.
Google just dropped a 1-hour course on agentic engineering from scratch:
00:00 – How to build your first AI agent
08:24 – Build agent memory (short, persistent, long)
28:34 – Agentic loops, long-running AI agents
40:04 – How to build MCP (MCP vs API)
1:00:22 – Multi-agentic systems
This 1-hour watch will replace 10 paid agentic courses on the internet.
Bookmark this. Watch this weekend.
Google Brain founder Andrew Ng:
"Prompting will be dead in 6 months
Agent harnesses built with loops and graphs will replace it"
Agent → Harness → Feedback → Loops → Graphs → Self-Improving Systems
In this 1-hour Stanford lecture, he explains what the best engineers are building instead and how you can start today
Prompt → Run → Verify → Improve
The first 20 minutes teach what most $1,500 courses try to sell you
For free
Bookmark and watch it today
Then read the guide below on building an agent harness that improves itself
Andrej Karpathy(Anthropic Engineer) dropped a full 6-hour course on how to build LLMs from scratch and use it:
• 00:00 - Full dive into LLMs
• 03:31:23 - Building LLM from scratch
• 05:27:43 - How to use LLMs (Karpathy method)
This course can replace a $150K Stanford LLM senior degree and Bootkamp
Start watching today, then read article below
Stanford AI engineering course:
"Anyone can build an AI agent in 60 minutes"
Prompt → Agent → Automation → Revenue
Stanford just released a course on building AI agents from scratch
00:00 - Build your first AI agent
48:17 - Create agents without coding
54:39 - Make $100K+ per month with agents
While you scroll, someone else is learning Anthropic's $750,000 skill
This free course is better than most paid AI agent courses
Bookmark and watch it today
Then read the article below
INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hours with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now.
#PAKWatch🇵🇰: Since regional elections began yesterday in Kashmir, PAK AUTHORITIES have KILLED AT LEAST 20 PEOPLE.
This is standard operating procedure for PAK'S MILITARY GOV'T.
FREE IMRAN KHAN.
راولا کوٹ کی صورت حا ل پر ایک مہیب خاموشی ہے۔ سیاسی جماعتیں اور میڈیا مُنہ چھپا کر شتر مرغ کی طرح آنکھیں بند کئے بیٹھا ہے، طاقت کا استعمال قطعی طور پر کسی صورت مناسب نہیں ہے۔ سیاست دان بعد میں لکیر پیٹنے سے بہتر ہے کہ ابھی میدان میں کودیں ورنہ دیر ہو جائے گی۔
سینے پہ گولی کھائیں گے
انقلاب لائیں گے
اپنے نعروں سے نوجوانوں کا لہو گرمانے والا قائداعظم یونیورسٹی میں پی ایچ ڈی کا طالبعلم اسامہ جمیل فورسز کی گولیوں کا نشانہ بن گیا 💔
آزاد ہتن پل پر آزاد کشمیر میں داخل نہیں ہونے دیا ،یہ آزاد کشمیر حکومت کی فاشزم ہے،میں اظہار یکجہتی، تعزیت اور صلح کیلئے جارہا تھا،کیا لاڑکانہ کے لاڈلے اور رائیونڈ کے لاڈلی کے علاوہ کسی کو کشمیر میں داخلے کی اجازت نہیں۔
کشمور کے غریب اسکول ٹیچر کو تحفظ فراہم کرنا ریاست کی ذمہ داری تھی لیکن ریاست ناکام ہو گئی ڈاکوؤں نے ٹیچر کو گولی مار کر شہید کر دیا اور ریاست کو پیغام دیا کہ جو قانون تم روزانہ توڑتے ہو اس قانون کی بالا دستی کو ہم بھی نہیں مانتے