This is f*cking insane. SpaceXAI engineer:
"SpaceXAI pays me $1.2M a year and I haven't written a line of code by hand in months
My GrokBot team ships 100+ updates a day while I sleep. I just set the rules and check what landed"
In this 54-minute livestream, her team builds a company that runs on bots from scratch: empty GitHub, zero bots, 72 hours
GrokBot → Skills → Team of Bots → One Group Chat → A Company That Runs Itself
Every bot owns one job and gets its own computer in the cloud, so the 2 a.m. run fires with your laptop closed
Show it a task once and it keeps it as a skill forever, then the bots hand work to each other in one group chat
SpaceXAI calls this "a persona, not a task"
Anyone can open a new GrokBot chat for every task, almost nobody builds the company that runs on bots
Worth more than most $2,000 agentic engineering courses
Bookmark and watch it today
Then read how to build your first GrokBot team in the harness engineering guide below ↓
this is crazy...
the guy reverse-engineered his Meta Ray-Bans 3 with Opus 5.5 into a 3,000+ Elo chess engine
he built AI chess cheat glasses on Opus 5.5 + Jev and open-sourced the whole workflow
here's how it works step by step:
step 1 → install it on your Mac with one command: npx chesshacker setup.
It downloads Stockfish from GitHub and verifies the checksum
step 2 → put on Meta Ray-Bans and video-call your own Mac on WhatsApp.
The glasses see the board, the Mac sees what the glasses see
step 3 → the Mac grabs frames straight from the call window.
About 1 per second while it waits for the opponent, 1 every 3 seconds on your turn
step 4 → Jev runs a cheap pre-check on every frame:
is the board readable, is a hand over it, did a piece move? No change means no expensive AI call
step 5 → only then Opus 5.5 reads the board.
The app compares it with the position it already knows and accepts a move only if it's legal
step 6 → Stockfish thinks for half a second and picks the best reply, with an eval like +1.5 or "mate in 3"
step 7 → macOS speaks it through a virtual mic into the WhatsApp call: "Rook a to d1". You hear it in your ear
step 8 → on the Mac a command center shows everything live: whose turn it is, the suggested move with a confidence bar, the move list and a log
under the hood:
→ if Opus loses track of the board, the glasses say "Lost track of the board" and you fix it with undo or by typing the move
→ if Stockfish crashes, it restarts once and says "Something went wrong. Still trying"
→ every game is saved as a PGN file, API keys live in the macOS Keychain
→ an overlay draws the suggested move as an arrow on the live video, ready for OBS
Clone his workflow below
Then read the guide on how to reverse-engineer anything with Opus 5.5.
Will Richman retweeted
Anthropic engineer:
"You're not supposed to prompt Opus 5.5
You're supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built such systems"
In 30 minutes she shows exactly how Anthropic builds agents that remember, fix their own errors and get sharper with every run.
This beats any $1000-$2000 course on agents I've come across.
Watch it, then read the article below ↓






