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๐ฃ๐ฎ๐ถ๐ฑ ๐๐ผ๐๐ฟ๐๐ฒ ๐๐ฅ๐๐ (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude,Chatgpt,Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking
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Like + RT + comment ' Drive '
Must Follow me so I can DM you.
This video has absolutely blown up on Telegram and I am being told it might be removed from YouTube so here it is.
FOLLOW ME, THE NEXT DROP WILL BE SHOCKING
Claude Sonnet 4.6 is the smartest Al right now.
But 90% of people prompt it like ChatGPT.
That's why I made the Claude Mastery Guide:
โ How Claude thinks differently
โ Prompts built for Claude
โ 2000+ Al Prompts
Follow ME
Comment " Claude " and I'll DM it free.
#viral
๐จ Breaking: How Boris Cherny trains AI at Anthropic
Not a complex pipeline.
Not hidden magic.
Just one file.
CLAUDE.md
Drop it in your project rootโฆ
and your AI starts getting smarter every session.
Hereโs why this is insane ๐
โ
Instead of re-prompting every time, you give Claude a memory layer:
โข past mistakes
โข coding rules
โข team conventions
Claude reads it every run
So:
Every bug โ becomes a rule
Every fix โ becomes permanent knowledge
No retraining.
No fine-tuning.
Justโฆ evolution.
โ
This is what most devs miss:
AI doesnโt need better prompts.
It needs better memory.
โ
Hereโs the exact playbook he shared:
1. Default to Plan Mode
If itโs not trivial โ plan first
Break into steps, define specs
If something fails โ stop, re-plan
2. Use Subagents Aggressively
Delegate research, exploration
One task per agent
Keep main context clean
3. Build a Self-Improving Loop
After every mistake โ log it
Turn patterns into rules
Review them every session
4. Never Trust โDoneโ
Test everything
Check logs
Compare diffs
Think: โWould a senior approve this?โ
5. Demand Elegance
If it feels hacky โ redo it
But donโt over-engineer simple fixes
6. Fix Bugs Autonomously
No back-and-forth
Use logs + tests
Solve end-to-end
โ
Execution System (this is key):
Plan โ tasks/todo.md
Track โ checkboxes
Explain โ every step
Document โ results
Learn โ tasks/lessons.md
โ
Core mindset:
Simplicity > cleverness
Root cause > patch fixes
Standards > speed
โ
This isnโt a prompt trick.
Itโs how you turn AI into a compounding system.
Steal this.
All Paid Courses (Free for First 4500 People)
๐ฃ๐ฎ๐ถ๐ฑ ๐๐ผ๐๐ฟ๐๐ฒ ๐๐ฅ๐๐ (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude,Chatgpt,Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking
(72 Hours only )
To get-
1. Follow me to get DM
2. Like + RT
3. Reply " All "
Read this before building a trading bot on Polymarket
CT is full of the same stories: "built a bot in 2 hours", "fully passive income", "just plug in GPT and print money"
This isn't reality. Here's what you actually need to understand:
> 99% of these stories are fake
Trading terminal screenshots are AI-generated, there's no real trading behind them. Pretty profit charts, massive PnL numbers, complex code in the background - all of it takes five minutes to make. No real bot, no real trading.
> The market is not static
What worked a month ago may not work today. Liquidity shifts, patterns break, new players enter with faster infra and better models. A bot is not a product you build and forget - it's a living system that needs constant updates to match current conditions.
> Everything breaks constantly
APIs go down, liquidity vanishes without warning, markets resolve in unexpected ways, news drops at 3am. One unchecked edge case can erase weeks of slow gains.
> Margins are thin
A 1-3% edge sounds great on paper. In practice it means capital, discipline, infrastructure costs, and long stretches of boredom. Fees eat into returns. Losses are unavoidable.
> You're trading against serious players
Polymarket has systems running paid infra, fast RPCs, risk limits, and constant monitoring. Latency matters. A random GPT wrapper won't survive against that.
Building a real trading bot is possible - but it requires genuine interest in the process, not a desire for quick money
And you don't start with code. You start with the right information diet
Understand the market, follow people who are actually building, filter out the noise