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Holy f*ck, Google just dropped a full 2-hour course on Loop and Graph engineering, completely free
From one prompt to 300+ agents that plan, remember and fix their own work:
0% → 03:09 - Multi-agent systems from scratch: the full blueprint
30% → 38:06 - Agent graphs: run agents in sequence and in parallel
45% → 51:10 - Loop engineering: send bad work back until it passes
65% → 1:20:44 - One orchestrator picks the right agent for every job
100% → 1:57:15 - A self-running agent team goes live and wins on its own
Prompt → Agents → Loops → Graphs → Self-Improving Teams
Most people build one agent, watch it break and go back to the chat window
Single agents were the old workflow
Agent teams that run themselves are the new one
Worth more than any $3,500 agentic engineering course
Save it and watch it tonight
Then read how to run agents like this in the harness engineering guide below ↓
Holy f*ck, Google just dropped a free 1-hour course on Loop engineering and multi-agent systems
"From one prompt to 50+ agents that remember everything and check each other's work"
Prompt → Agent → Memory → Loops → Multi-Agent Graphs
04:42 - Loop agents: a checker sends bad work back until it passes
08:06 - Give your agent memory that never forgets
28:29 - Long-running agents that work for weeks without losing context
1:08:32 - Build a multi-agent team that double-checks its own answers
While you scroll, someone else is learning Google's $750,000 skill
This free course is better than any $2,500 agentic engineering course
Bookmark and watch it today
Then read how to plug one agent into Claude Code, Cursor and Codex in the article below ↓
next google loop, graph and harness engineering vid ↓ teapaw.org/ryouxbt/status/2116520…
Holy f*ck, Google just dropped a full 2-hour course on Loop and Graph engineering, completely free
From one prompt to 300+ agents that plan, remember and fix their own work:
0% → 03:09 - Multi-agent systems from scratch: the full blueprint
30% → 38:06 - Agent graphs: run agents in sequence and in parallel
45% → 51:10 - Loop engineering: send bad work back until it passes
65% → 1:20:44 - One orchestrator picks the right agent for every job
100% → 1:57:15 - A self-running agent team goes live and wins on its own
Prompt → Agents → Loops → Graphs → Self-Improving Teams
Most people build one agent, watch it break and go back to the chat window
Single agents were the old workflow
Agent teams that run themselves are the new one
Worth more than any $3,500 agentic engineering course
Save it and watch it tonight
Then read how to run agents like this in the harness engineering guide below ↓
Holy f*ck, Google just dropped a free 2-hour course on Harness, Loop and Graph engineering
From one prompt to 100+ agents that test, judge and fix their own work:
0% → 0:29 - Harness engineering from scratch
15% → 11:08 - Build your first agent the right way
30% → 28:03 - Evals: an agent that grades its own work
65% → 1:00:13 - Loop engineering: send bad work back until it passes
100% → 1:18:45 - A self-improving graph that gets better while you sleep
Prompts → Agents → Harness → Loops → Self-Improving Graphs
Most people still trust an agent just because its answer "looks right"
Worth more than any $2,500 agentic engineering course
Save it and watch it tonight
Then read how to build the full harness in the guide below ↓
another workshop by annie wang ↓ teapaw.org/ryouxbt/status/2116520…
Holy f*ck, Google just dropped a full 2-hour course on Loop and Graph engineering, completely free
From one prompt to 300+ agents that plan, remember and fix their own work:
0% → 03:09 - Multi-agent systems from scratch: the full blueprint
30% → 38:06 - Agent graphs: run agents in sequence and in parallel
45% → 51:10 - Loop engineering: send bad work back until it passes
65% → 1:20:44 - One orchestrator picks the right agent for every job
100% → 1:57:15 - A self-running agent team goes live and wins on its own
Prompt → Agents → Loops → Graphs → Self-Improving Teams
Most people build one agent, watch it break and go back to the chat window
Single agents were the old workflow
Agent teams that run themselves are the new one
Worth more than any $3,500 agentic engineering course
Save it and watch it tonight
Then read how to run agents like this in the harness engineering guide below ↓
ryou retweeted
Holy f*ck, Google just dropped a free 1-hour course on Loop engineering and multi-agent systems
"From one prompt to 50+ agents that remember everything and check each other's work"
Prompt → Agent → Memory → Loops → Multi-Agent Graphs
04:42 - Loop agents: a checker sends bad work back until it passes
08:06 - Give your agent memory that never forgets
28:29 - Long-running agents that work for weeks without losing context
1:08:32 - Build a multi-agent team that double-checks its own answers
While you scroll, someone else is learning Google's $750,000 skill
This free course is better than any $2,500 agentic engineering course
Bookmark and watch it today
Then read how to plug one agent into Claude Code, Cursor and Codex in the article below ↓
next google course that u should watch ↓ teapaw.org/ryouxbt/status/2116158…
Holy f*ck, Google just dropped a free 1-hour course on Loop engineering and multi-agent systems
"From one prompt to 50+ agents that remember everything and check each other's work"
Prompt → Agent → Memory → Loops → Multi-Agent Graphs
04:42 - Loop agents: a checker sends bad work back until it passes
08:06 - Give your agent memory that never forgets
28:29 - Long-running agents that work for weeks without losing context
1:08:32 - Build a multi-agent team that double-checks its own answers
While you scroll, someone else is learning Google's $750,000 skill
This free course is better than any $2,500 agentic engineering course
Bookmark and watch it today
Then read how to plug one agent into Claude Code, Cursor and Codex in the article below ↓
ryou retweeted
Holy f*ck, Google just dropped a free 2-hour course on Harness, Loop and Graph engineering
From one prompt to 100+ agents that test, judge and fix their own work:
0% → 0:29 - Harness engineering from scratch
15% → 11:08 - Build your first agent the right way
30% → 28:03 - Evals: an agent that grades its own work
65% → 1:00:13 - Loop engineering: send bad work back until it passes
100% → 1:18:45 - A self-improving graph that gets better while you sleep
Prompts → Agents → Harness → Loops → Self-Improving Graphs
Most people still trust an agent just because its answer "looks right"
Worth more than any $2,500 agentic engineering course
Save it and watch it tonight
Then read how to build the full harness in the guide below ↓
Holy f*ck, Stanford just released a free 1-hour course on building AI agents from scratch
Taught by a researcher who worked at Google DeepMind and Anthropic:
"Anyone can build an AI agent in 60 minutes"
Prompt → Agent → Automation → Revenue
19:04 - Make a cheap model beat GPT-4o
41:10 - Build your first AI agent
46:48 - Build without writing a single line of code
53:13 - Make $100K+ per month with agents
While you scroll, someone else is learning Anthropic's $750,000 skill
This free course is better than any $2,000 AI agent course
Bookmark and watch it today
Then read how to turn one agent into a whole system in the harness engineering guide below ↓
u should check it ↓ teapaw.org/ryouxbt/status/2115798…
Holy f*ck, Google just dropped a free 2-hour course on Harness, Loop and Graph engineering
From one prompt to 100+ agents that test, judge and fix their own work:
0% → 0:29 - Harness engineering from scratch
15% → 11:08 - Build your first agent the right way
30% → 28:03 - Evals: an agent that grades its own work
65% → 1:00:13 - Loop engineering: send bad work back until it passes
100% → 1:18:45 - A self-improving graph that gets better while you sleep
Prompts → Agents → Harness → Loops → Self-Improving Graphs
Most people still trust an agent just because its answer "looks right"
Worth more than any $2,500 agentic engineering course
Save it and watch it tonight
Then read how to build the full harness in the guide below ↓
ryou retweeted
Holy f*ck, Stanford just released a free 1-hour course on building AI agents from scratch
Taught by a researcher who worked at Google DeepMind and Anthropic:
"Anyone can build an AI agent in 60 minutes"
Prompt → Agent → Automation → Revenue
19:04 - Make a cheap model beat GPT-4o
41:10 - Build your first AI agent
46:48 - Build without writing a single line of code
53:13 - Make $100K+ per month with agents
While you scroll, someone else is learning Anthropic's $750,000 skill
This free course is better than any $2,000 AI agent course
Bookmark and watch it today
Then read how to turn one agent into a whole system in the harness engineering guide below ↓
Holy f*ck, Google just released a free 1-hour course on agentic knowledge graphs
"Your agents don't need a bigger model. They need a graph that remembers everything"
Prompts → Agents → Knowledge Graphs → Self-Improving Agents
04:01 - Build your first GraphRAG agent from scratch
30:00 - Agentic search: agents that find the answer on their own
35:48 - Graph engineering in practice, live
47:06 - Self-improving agents that get smarter with every run
While you scroll, someone else is learning Google's $750,000 skill
This free course is better than any $1,500 graph engineering bootcamp
Bookmark and watch it today
Then read the full harness engineering guide below ↓
Holy f*ck, Stanford just released a free 1-hour course on building AI agents from scratch
Taught by a researcher who worked at Google DeepMind and Anthropic:
"Anyone can build an AI agent in 60 minutes"
Prompt → Agent → Automation → Revenue
19:04 - Make a cheap model beat GPT-4o
41:10 - Build your first AI agent
46:48 - Build without writing a single line of code
53:13 - Make $100K+ per month with agents
While you scroll, someone else is learning Anthropic's $750,000 skill
This free course is better than any $2,000 AI agent course
Bookmark and watch it today
Then read how to turn one agent into a whole system in the harness engineering guide below ↓
Google just dropped a free 2-hour workshop on multi-agent systems, Loops and Graphs
From your first agent to a whole team that sees, hears and runs on its own:
0% → 00:09 - What you're building: an AI agent that sees, hears and talks back
30% → 36:55 - Build your first multi-agent system from scratch
45% → 56:11 - Give every agent its own MCP tools
75% → 1:09:28 - Sequential, parallel and loop agents, wired into one graph
100% → 2:05:07 - The whole system running live, reacting in real time
Agents → Tools → Loops → Graphs → Autonomous Systems
Most people are still tweaking the prompt of their very first agent
Worth more than any $2,000 agentic engineering course
Bookmark and watch it today
Then read how to run a system like this in the harness engineering guide below ↓
next to check ↓ teapaw.org/ryouxbt/status/2115481…
Holy f*ck, Stanford just released a free 1-hour course on building AI agents from scratch
Taught by a researcher who worked at Google DeepMind and Anthropic:
"Anyone can build an AI agent in 60 minutes"
Prompt → Agent → Automation → Revenue
19:04 - Make a cheap model beat GPT-4o
41:10 - Build your first AI agent
46:48 - Build without writing a single line of code
53:13 - Make $100K+ per month with agents
While you scroll, someone else is learning Anthropic's $750,000 skill
This free course is better than any $2,000 AI agent course
Bookmark and watch it today
Then read how to turn one agent into a whole system in the harness engineering guide below ↓
ryou retweeted
Google just dropped a free 2-hour workshop on multi-agent systems, Loops and Graphs
From your first agent to a whole team that sees, hears and runs on its own:
0% → 00:09 - What you're building: an AI agent that sees, hears and talks back
30% → 36:55 - Build your first multi-agent system from scratch
45% → 56:11 - Give every agent its own MCP tools
75% → 1:09:28 - Sequential, parallel and loop agents, wired into one graph
100% → 2:05:07 - The whole system running live, reacting in real time
Agents → Tools → Loops → Graphs → Autonomous Systems
Most people are still tweaking the prompt of their very first agent
Worth more than any $2,000 agentic engineering course
Bookmark and watch it today
Then read how to run a system like this in the harness engineering guide below ↓
next google course ↓ teapaw.org/ryouxbt/status/2115111…
Google just dropped a free 2-hour workshop on multi-agent systems, Loops and Graphs
From your first agent to a whole team that sees, hears and runs on its own:
0% → 00:09 - What you're building: an AI agent that sees, hears and talks back
30% → 36:55 - Build your first multi-agent system from scratch
45% → 56:11 - Give every agent its own MCP tools
75% → 1:09:28 - Sequential, parallel and loop agents, wired into one graph
100% → 2:05:07 - The whole system running live, reacting in real time
Agents → Tools → Loops → Graphs → Autonomous Systems
Most people are still tweaking the prompt of their very first agent
Worth more than any $2,000 agentic engineering course
Bookmark and watch it today
Then read how to run a system like this in the harness engineering guide below ↓
ryou retweeted
Holy f*ck, Google just released a free 1-hour course on agentic knowledge graphs
"Your agents don't need a bigger model. They need a graph that remembers everything"
Prompts → Agents → Knowledge Graphs → Self-Improving Agents
04:01 - Build your first GraphRAG agent from scratch
30:00 - Agentic search: agents that find the answer on their own
35:48 - Graph engineering in practice, live
47:06 - Self-improving agents that get smarter with every run
While you scroll, someone else is learning Google's $750,000 skill
This free course is better than any $1,500 graph engineering bootcamp
Bookmark and watch it today
Then read the full harness engineering guide below ↓
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 ↓
next google video ↓ teapaw.org/ryouxbt/status/2114711…
Holy f*ck, Google just released a free 1-hour course on agentic knowledge graphs
"Your agents don't need a bigger model. They need a graph that remembers everything"
Prompts → Agents → Knowledge Graphs → Self-Improving Agents
04:01 - Build your first GraphRAG agent from scratch
30:00 - Agentic search: agents that find the answer on their own
35:48 - Graph engineering in practice, live
47:06 - Self-improving agents that get smarter with every run
While you scroll, someone else is learning Google's $750,000 skill
This free course is better than any $1,500 graph engineering bootcamp
Bookmark and watch it today
Then read the full harness engineering guide below ↓
ryou retweeted
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 ↓