Anthropic and Andrew Ng built an agent that uses 90% fewer tokens from scratch:
they dropped the entire book of Frankenstein into a prompt - 108,000 tokens asked one question
the input dropped from 108,000 tokens to 11
here's how:
step 1 → put everything that never changes at the top - tools, then system, then docs
step 2 → mark where the static part ends. everything above it gets cached
step 3 → one stray space breaks it - and you pay full price again
step 4 → the cache dies in 5 min - every read resets the clock
step 5 → cached tokens don't count against your rate limits. free headroom
most people never touch this - it pays for itself on day one
watch & bookmark - this 1-hour brilliant course ↓
Google just dropped a 1-hour course on agentic engineering from scratch:
00:00 - Build your first AI agent
08:24 - Give your agent real memory (short, persistent, long)
28:34 - Agentic loops that run for hours on their own
40:04 - Build your own MCP (MCP VS API)
1:00:22 - Wire up multi-agent systems
72 minutes and you'll understand agents better than most people building them.
Watch it today, then read the step by step guide for beginners on building loops below.
Anthropic just released a 4-hour course to getting a $500k AI engineering job:
00:15 - The right way to prompt Claude
33:21 - What makes Claude act dumber on your code
01:33:39 - How Anthropic use Claude every day
02:50:56 - The fix that makes Claude way smarter This
4-hour Anthropic free course replaces about 10 paid engineering courses.
Watch it today, then read the step-by-step guide on building loops below.
Ex google engineer acaba de soltar un curso completo de 1 hora para construir agentes de IA que se mejoran solos, desde cero:
00:00 – Cómo nace un agente que se construye a sí mismo
03:01 – soul.md: el archivo que lo controla todo
30:16 – RAG inteligente: solo traes 20 mensajes relevantes, no los 2.000
31:48 – El loop que sabe cuándo parar solo
35:14 – Detectar el error y arreglar el prompt en el momento
50:22 – Cómo Claude comprime y optimiza tu memoria automáticamente
1 hora de contenido práctico que vale más que la mayoría de cursos de pago sobre agentes.
Míralo completo, guárdalo📚
Anthropic engineer:
"You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day."
In 45 minutes he shows exactly how to do it from scratch, step by step.
Most people are still doing all of this by hand.
Watch the session, then save the guide below.
Andrew Ng just dropped a 3-hour course on how to become an AI engineer in 2026:
00:00 - How to build agentic AI systems
04:25 - Future of AI engineering
23:38 - AI prompting full course
2:52:17 - Creating an app with AI in 30 minutes
This 3-hour watch could replace 10 AI engineering courses on the internet.
Watch it today.
Then read this.
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.
Ex-Google engineer just dropped 1-hour course: loops, self-improving AI, memory systems - from scratch:
00:00 - the self-building agent
03:01 - soul.md runs everything
30:16 - RAG memory: pull 20 messages, not 2,000
31:48 - the loop that knows when to stop
35:14 - find the bug, fix the prompt
50:22 - how Claude compresses your memory
1 hour of his guide beats any paid agent course
watch & bookmark - then read Karpathy's loop method below
This is how propaganda was spread against Hindus and Sikhs. How whitewashing was done by Bollywood without any shame !!
Sadly, this virus still exists in some parts of the old school Bollywood.
@AMIT_GUJJU My father likes gavar ki sabji and Jowari roti, my mom like chana ki sabji and phulka roti, I like kadhi chawal And today mom made karela and roti and everyone eat it without any complain. If I am applying such an analogy non of us like each other, depressed.