Holy f*ck. SpaceXAI engineer Lauren Tan:
Her agents merge code while she sleeps.
She built the verification system that lets her trust what lands.
In this 53-minute session, she explains how verification skills, strict architecture and automated checks helped her move beyond babysitting agents.
Verify → Build Skills → Enforce Rules → Delegate → Repeat
A mistake she used to flag in code review becomes a lint rule or CI failure. The next agent inherits the check instead of needing the same correction.
Before adding another agent, give the first one a way to prove its work.
Worth watching before you pay for another agent engineering course.
Bookmark it. Watch how she builds trust before handing over more responsibility.
Then read the guide below: build your first Grok Bot team around one weekly brief—with a Chief, Researcher, Reviewer and evidence behind every finding ↓
Andrej Karpathy (ex-OpenAI, former Tesla AI lead):
Two hours on making AI useful beyond a chat reply.
The part worth stealing: knowing which tool to use, what context to provide, and how to turn the output into something useful.
In this practical walkthrough, he covers web search, deep research, documents, Python analysis and building small apps.
Question → Context → Research → Analyze → Build
Put it to work on one weekly brief: five verified findings, one short draft, and the sources behind both. A concrete result you can inspect.
Worth watching before you spend $1,000 on another AI bootcamp.
Bookmark the video. Pick one recurring job you want off your plate.
Then read “Build Your First Grok Bot Team Around One Finished Job”—Chief coordinates, Researcher builds, Reviewer checks, and the finished packet comes back to you ↓