Most people will spend 4 hours tonight consuming. Zero creating. Then wonder why nothing changes. 1) Scroll until you fall asleep. 2) Or watch this. A Stanford lecture on Agentic AI that teaches you more about how AI automation actually works than 6 months of copying Make and n8n... tutorials. Tool calling. Multi-step workflows. Planning. Reflection. The foundations behind every automation system that actually works. Most people learn this by copying tutorials blindly. Stanford teaches you WHY agents work the way they do. Watch the lecture first. Then go through 9 real build projects across 2 weeks: APIs. Webhooks. LLM integration. AI workflows. No theory. Just build. The people who do this weekend will understand AI automation at a level that makes everything they build after faster, cleaner, and more powerful. The people who skip it will still be copying tutorials in 2027 wondering why nothing they build actually works. Completely free. Bookmark this before you open Netflix.show more

i always watch this video! thank youu for sharing this habibi

This isn’t me Please report ⬇️

@cyrilXBT haha yeah, I've definitely been guilty of the scroll till sleep. maybe time to mix it up a bit

Bookmarked brother

Stanford and Y combinatior really have the best videos about AI

Is this a joke? This is possibly the least engaging and least practical AI content I’ve ever wasted my time on What am I missing?

The RAG and tool calling section alone is worth the 56 minutes. Most people building AI workflows for crypto research get stuck because they treat agents like chatbots. - They prompt. - They get output. - They move on. Agents that actually work do three things: they plan before acting, they reflect on what went wrong, and they call the right tools at the right step. The Stanford lecture explains the architecture behind that. Once you see it, you cannot unsee it. The analysts and builders who understand this layer are going to build things the tutorial-copiers cannot debug, fix, or improve. Saving this one.

yeah... most ppl binge content instead of building, then wonder why

I'm guilty of mindless scrolling, but that Stanford lecture on Agentic AI is really insightful, thanks for sharing.

Investing time in understanding AI automation can seriously change your game. Building instead of just copying is key!

lecture covers tool calling, planning, reflection. what actually breaks production agents is something else: auth scopes leaking, retry loops without backoff, side effects on stale state.

watched it twice already fr