AI Agents are getting seriously practical. 👀
A quick breakdown of this 67-min video:
⏱️ 1–10 min: AI agents & workflow
⏱️ 11–25 min: Agent setup + tools
⏱️ 26–40 min: Building the workflow
⏱️ 41–55 min: YouTube competitor research
⏱️ 56–67 min: Competitor Tracker + insights
⭐ Rating: 9/10
The biggest takeaway:
AI is moving from answering questions to actually doing the work. 🚀
See 646-page PDF “Speech and Language Processing — Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition with Language Models” here: https://t.co/5jceCAb4cR [3rd Edition draft]
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.
Cornell's "Machine Learning for Intelligent Systems"
by Kilian Weinberger
One of the most popular intro ML courses online, covering everything from k-NN to deep nets.
Lecture Notes: https://t.co/zssCmE6DHJ
Lecture Videos: https://t.co/wjP6IOGkkI
GOOGLE CEO SUNDAR PICHAI: "IF YOU DON'T LEARN HOW TO ORCHESTRATE AGENTS NOW, YOU'LL SPEND 2027 CATCHING UP TO PEOPLE WHO STARTED TODAY."
30 minutes on why the best engineers stopped writing code line by line and started orchestrating agents instead.
Most people think building an agent requires an engineering degree.
It doesn't.
It requires one guide and one afternoon.
Watch the interview.
One guide. One afternoon. That's all it takes.
“An Illustrated Guide to AI Agents — Concepts and Code for Building Agents with LLMs, Tools, and Memory”
Get it here: https://t.co/UnUp1kX3kA [475 pages]
Amazon Summary: “With visual storytelling and accessible explanations (hundreds of clear graphic illustrations), this book explains how AI agents are built, how they think, and where they're heading. Designed for professionals, students, and curious learners alike, this guide goes beyond the buzz to reveal what's actually happening inside these systems, why it matters, and how to apply the knowledge in real-world contexts.”
Understanding Harness Engineering — Free PDF
📘 48 Pages
Learn how Harness Engineering is changing the way we build software with AI coding agents.
This guide explores how to design the tools, workflows, environments, feedback loops, testing systems, and guardrails that help AI agents work more reliably and effectively.
Free PDF Download: https://t.co/u8Qjbove9n
Topics include:
- AI coding agents
- Agent tools and environments
- Feedback loops
- Automated testing & evaluation
- Guardrails and reliability
- Agent-driven software development
- Building effective AI engineering workflows
48 pages • Free PDF • AI + Software Engineering
These prompts for Claude, Grok and GPT are insane...
I made one for Sonnet 5.5 + Opus 5.5, one for Grok 4.7 and one for GPT-6.1 Sol
Each gives the model a clear goal, a way to use tools, a loop for checking its work and rules for adapting when you change the task
They're universal: use them for coding, research, writing or any other multi-step work
Bookmark and send this to your model
Then read article about comparison of Claude, Grok and GPT
Linux Fundamentals Guide — Vol. 03
Download here : https://t.co/lOPFc3r8VG…
Only for serious Linux & cybersecurity learners
Beginner → Advanced Linux
Python for Cybersecurity Guide — Vol. 04
Download here: https://t.co/nDgxet07Y3
Only for serious Python & cybersecurity learners
Beginner → Advanced Python for Cybersecurity
DM me on Instagram for full guide :
https://t.co/mjaGPaqQiN
This man is a hero.
Captain Smit Machchhar, the Indian captain of flydubai Flight 1073, fought back after being stabbed in the cockpit.
Despite being severely injured, he managed to unlock the cockpit door - allowing Israeli passengers and the Emirati crew to intervene and save all the passengers.
Together, their extraordinary courage saved 174 lives.
Indian. Israeli. Emirati.
Different nationalities. One extraordinary act of courage. 🇮🇳🇮🇱🇦🇪
We wish Captain Machchhar a full and speedy recovery.
The BEST one there for Agentic AI.
Absolutely beginner friendly. Covers every topic.
https://t.co/03jDhYP07L
- Langchain
- Langgraph
- RAG
- Vectorless RAG
- Deep Agents
- Guardrails
- LLM Evals
- LLM Gateways
Give 30 mins to 1 hour everyday. You won't regret at all.
Anthropic Engineering: "At Anthropic, we don't write prompts anymore. we build loops"
in 42 minutes, she shows how the Claude team creates loops that prompt themselves
if this cost $400, people would call it the best agents course of the year
it's free
watch it, and Bookmark.
One of my friend makes $1.2 million a year as an Anthropic engineer.
I asked him how he learned prompting so well. He sent me a video that was never supposed to get out. Their core team's prompting playbook.
You won’t find anything better about prompting than this 30 minutes video.
I watched it last night. Halfway through, I realized I've been using Claude completely wrong for two years.
Watch it, then read the article below.