ryou

content creator | ai researcher

[ryou @ryouxbt]

Google just dropped a free 2-hour masterclass on Loop and Graph Engineering

From one prompt to 200+ agents that check and fix their own work:

0% → 00:15 - Learn graph engineering from scratch
30% → 30:13 - Build your first agent graph, step by step
45% → 42:41 - Spin up as many agents as you need, all in parallel
75% → 59:47 - Loop engineering: send bad work back until it passes
100% → 1:23:03 - Build a graph that fixes itself while you sleep

Prompts → Agents → Loops → Graphs → Self-Improving Systems

Most people still stuff every instruction into one agent and hope it listens

Worth more than any $2,000 agentic engineering course

Bookmark and watch it today

Then read the full harness engineering guide below ↓

[rari🈀 @0xwhrrari]

https://t.co/3ANIWs48lJ

[ryou @ryouxbt]

Google just dropped a free 2-hour masterclass on Loop and Graph Engineering

From one prompt to 200+ agents that check and fix their own work:

0% → 00:15 - Learn graph engineering from scratch
30% → 30:13 - Build your first agent graph, step by step
45% → 42:41 - Spin up as many agents as you need, all in parallel
75% → 59:47 - Loop engineering: send bad work back until it passes
100% → 1:23:03 - Build a graph that fixes itself while you sleep

Prompts → Agents → Loops → Graphs → Self-Improving Systems

Most people still stuff every instruction into one agent and hope it listens

Worth more than any $2,000 agentic engineering course

Bookmark and watch it today

Then read the full harness engineering guide below ↓

[ryou @ryouxbt]

u can watch it ↓ https://t.co/7SJhbjaIHP

[ryou @ryouxbt]

Google just dropped a free 2-hour masterclass on Loop and Graph Engineering

From one prompt to 200+ agents that check and fix their own work:

0% → 00:15 - Learn graph engineering from scratch
30% → 30:13 - Build your first agent graph, step by step
45% → 42:41 - Spin up as many agents as you need, all in parallel
75% → 59:47 - Loop engineering: send bad work back until it passes
100% → 1:23:03 - Build a graph that fixes itself while you sleep

Prompts → Agents → Loops → Graphs → Self-Improving Systems

Most people still stuff every instruction into one agent and hope it listens

Worth more than any $2,000 agentic engineering course

Bookmark and watch it today

Then read the full harness engineering guide below ↓

[ryou @ryouxbt]

This is f*cking insane. Google's Chief Scientist Jeff Dean just dropped a free 1-hour lecture on AI engineering

From one prompt to one human running 100 agents:

0% → 02:07 - Learn how neural nets actually think from scratch
30% → 21:01 - The one idea behind every model you use today
45% → 32:27 - Why making the model show its work beats any prompt trick
75% → 58:58 - How Google runs 1,000+ engineers on one model like one team
100% → 1:03:13 - One human coordinating a team of 100 AI agents

Prompts → Agents → Harness → Loops → Graphs

27 years at Google, compressed into one hour

Most people will stop at the prompt chapter and call it progress

Worth more than any $1,500 AI engineering course

Bookmark and watch it before everyone catches up

Then read how to build the harness that runs those agents in the article below ↓

[rari🈀 @0xwhrrari]

https://t.co/3ANIWs48lJ

[ryou @ryouxbt]

This is f*cking insane. Google Brain founder Andrew Ng:

"A weaker model in a loop beats a smarter model with one prompt

99% of people still stop at the prompt. The 1% build graphs that do the work without them"

In just 2 hours, he goes from your first agent to a full graph system that rewrites itself

Prompts → Agents → Loops → Graphs → Self-Improving Systems

A loop sends the agent back to check and fix its own work until it actually passes

A graph connects 20+ agents so each one hands its result to the next without you

Anyone can write a prompt, almost nobody builds the graph that runs while they sleep

Worth more than any $2,000 AI engineering bootcamp

Watch it today, then read how to build the harness that runs those graphs in the guide below ↓

[ryou @ryouxbt]

This is f*cking insane. Google Brain founder Andrew Ng:

"A weaker model in a loop beats a smarter model with one prompt

99% of people still stop at the prompt. The 1% build graphs that do the work without them"

In just 2 hours, he goes from your first agent to a full graph system that rewrites itself

Prompts → Agents → Loops → Graphs → Self-Improving Systems

A loop sends the agent back to check and fix its own work until it actually passes

A graph connects 20+ agents so each one hands its result to the next without you

Anyone can write a prompt, almost nobody builds the graph that runs while they sleep

Worth more than any $2,000 AI engineering bootcamp

Watch it today, then read how to build the harness that runs those graphs in the guide below ↓

[rari🈀 @0xwhrrari]

https://t.co/3ANIWs48lJ

[ryou @ryouxbt]

This is f*cking insane. Google's Chief Scientist Jeff Dean just dropped a free 1-hour lecture on AI engineering

From one prompt to one human running 100 agents:

0% → 02:07 - Learn how neural nets actually think from scratch
30% → 21:01 - The one idea behind every model you use today
45% → 32:27 - Why making the model show its work beats any prompt trick
75% → 58:58 - How Google runs 1,000+ engineers on one model like one team
100% → 1:03:13 - One human coordinating a team of 100 AI agents

Prompts → Agents → Harness → Loops → Graphs

27 years at Google, compressed into one hour

Most people will stop at the prompt chapter and call it progress

Worth more than any $1,500 AI engineering course

Bookmark and watch it before everyone catches up

Then read how to build the harness that runs those agents in the article below ↓

[ryou @ryouxbt]

This is f*cking insane. Google CEO Sundar Pichai:

"More than half of the new code at Google is already written by AI agents

If you don't learn to run them this year, you'll spend the next five catching up"

The whole 30-minute interview is about one shift: engineers stop writing code and start building harnesses that run agents

One agent researches, one writes, one tests, one reviews and one fixes what broke

The harness passes the work between them and checks every handoff

You stop doing the work and start signing off on it

This interview is worth more than most $1,000 harness engineering courses

Bookmark it and watch tonight

Then read the full harness engineering guide below ↓

[ryou @ryouxbt]

This is f*cking insane. Google CEO Sundar Pichai:

"More than half of the new code at Google is already written by AI agents

If you don't learn to run them this year, you'll spend the next five catching up"

The whole 30-minute interview is about one shift: engineers stop writing code and start building harnesses that run agents

One agent researches, one writes, one tests, one reviews and one fixes what broke

The harness passes the work between them and checks every handoff

You stop doing the work and start signing off on it

This interview is worth more than most $1,000 harness engineering courses

Bookmark it and watch tonight

Then read the full harness engineering guide below ↓

[rari🈀 @0xwhrrari]

https://t.co/3ANIWs48lJ

[ryou @ryouxbt]

This is f*king unreal. Andrej Karpathy spent 8 years at OpenAI and Tesla

Last week, he packed what he learned into one free 2-hour lecture

Agents → Harness → Loops → Graphs

Some bootcamps charge $15K and teach less than this

You might not have 2 hours today

Bookmark it before it disappears from your feed

Watch it, then read the guide below to build your first agent harness

[ryou @ryouxbt]

This is f*king unreal. Andrej Karpathy spent 8 years at OpenAI and Tesla

Last week, he packed what he learned into one free 2-hour lecture

Agents → Harness → Loops → Graphs

Some bootcamps charge $15K and teach less than this

You might not have 2 hours today

Bookmark it before it disappears from your feed

Watch it, then read the guide below to build your first agent harness

[rari🈀 @0xwhrrari]

https://t.co/3ANIWs48lJ

[ryou @ryouxbt]

This is f*king insane. Anthropic engineer:

"At Anthropic, we do more than write prompts

We build harnesses"

In 42 minutes, she shows how the Claude team uses a harness to manage context, loops, and agent workflows

Prompts → Agents → Harness → Loops → Self-Improving Systems

If this were a $500 course, people would call it one of the best agent courses of the year

It's free

Watch it, then follow the step-by-step guide below to build your first harness

[ryou @ryouxbt]

This is f*king insane. Anthropic engineer:

"At Anthropic, we do more than write prompts

We build harnesses"

In 42 minutes, she shows how the Claude team uses a harness to manage context, loops, and agent workflows

Prompts → Agents → Harness → Loops → Self-Improving Systems

If this were a $500 course, people would call it one of the best agent courses of the year

It's free

Watch it, then follow the step-by-step guide below to build your first harness

[rari🈀 @0xwhrrari]

https://t.co/3ANIWs48lJ

[ryou @ryouxbt]

Andrej Karpathy spent 8 years at OpenAI and Tesla

Last week, he distilled everything he knows into one free 2-hour lecture

Agents → Harness → Loops → Graphs

People spend $15K on bootcamps that teach less

You might not have 2 hours to spare right now

Don't let it disappear from your feed

Watch it, then read the guide below and build your first agent harness

[ryou @ryouxbt]

Andrej Karpathy spent 8 years at OpenAI and Tesla

Last week, he distilled everything he knows into one free 2-hour lecture

Agents → Harness → Loops → Graphs

People spend $15K on bootcamps that teach less

You might not have 2 hours to spare right now

Don't let it disappear from your feed

Watch it, then read the guide below and build your first agent harness

[rari🈀 @0xwhrrari]

https://t.co/3ANIWs48lJ

[ryou @ryouxbt]

Anthropic engineer:

"The longer an agent runs, the more costly its mistakes become"

"That's why we build verification into the artifact itself"

In 28 minutes, he shows how the Claude Code team builds harnesses that help agents check their own work

Prompts → Agents → Harness → Verification → Self-Checking Systems

Prompting was the old workflow

Harness engineering is what comes next

This 28-minute breakdown is worth more than most $1,000 agent engineering courses

Bookmark and watch it today

Then save the full harness engineering guide below before everyone catches on ↓

[ryou @ryouxbt]

Anthropic engineer:

"The longer an agent runs, the more costly its mistakes become"

"That's why we build verification into the artifact itself"

In 28 minutes, he shows how the Claude Code team builds harnesses that help agents check their own work

Prompts → Agents → Harness → Verification → Self-Checking Systems

Prompting was the old workflow

Harness engineering is what comes next

This 28-minute breakdown is worth more than most $1,000 agent engineering courses

Bookmark and watch it today

Then save the full harness engineering guide below before everyone catches on ↓

[rari🈀 @0xwhrrari]

https://t.co/3ANIWs48lJ

[ryou @ryouxbt]

SpaceXAI lead engineer, ex-Cursor:

"99% of people still use a chat window. The other 1% have already built a team

I run six bots. By 5 a.m., my Chief of Staff has my day mapped out, while my travel bot coordinates my flight and hotel bots overnight"

In 27 minutes, he walks through how he built the team from scratch

Chat → Copilot → GrokBot → Agent Teams → Self-Improving Systems

Prompting was the old workflow. Building teams of agents is what comes next

Reverse Engineering → Inspect → Map Behavior → Rebuild → Verify

Worth more than most $1,000 agent courses

Bookmark and watch it today

Then read the full reverse-engineering guide below to learn how to build your own agent workflow ↓

[ryou @ryouxbt]

SpaceXAI lead engineer, ex-Cursor:

"99% of people still use a chat window. The other 1% have already built a team

I run six bots. By 5 a.m., my Chief of Staff has my day mapped out, while my travel bot coordinates my flight and hotel bots overnight"

In 27 minutes, he walks through how he built the team from scratch

Chat → Copilot → GrokBot → Agent Teams → Self-Improving Systems

Prompting was the old workflow. Building teams of agents is what comes next

Reverse Engineering → Inspect → Map Behavior → Rebuild → Verify

Worth more than most $1,000 agent courses

Bookmark and watch it today

Then read the full reverse-engineering guide below to learn how to build your own agent workflow ↓

[rari🈀 @0xwhrrari]

REA is dangerous with Opus 5.5

It lets your agent inspect apps you have no source for

But finding the code is not the same as proving the behavior

I broke down how to get from a black box to a build you can actually test ↓ https://t.co/E5KyWLfEt1

[ryou @ryouxbt]

SpaceXAI just released a free Grok Bot workshop

54 minutes on running a bot team like an actual product org

Grok Bot → Specialists → Shared Context → Delegation → Self-Improving Teams

7% → 03:37 - Why managing several agent threads gets tricky
25% → 13:32 - Organize agents around real company roles
44% → 23:59 - Have agents work on multiple questions in parallel
56% → 30:08 - Share context automatically, without copy-pasting
75% → 40:40 - See an agent learn to delegate and review tasks

A frontier model returns every routing decision as prose

Who takes the task → What needs checking → Who approves it

That’s not an intelligence architecture

Jev returns typed options and probabilities, without writing a sentence

LLM creates the work → Jev picks the next step → Code enforces the decision

Save this before building another coordinator agent ↓