This is f*king insane. OpenAI CEO Sam Altman: "You don't need to write prompts anymore. You need loops and graphs." In 39 minutes he explains how to use LLMs better than almost anyone does Prompts → Agents → Loops → Graphs a loop closes one job without you a graph decides which jobs exist at all that is the whole difference between using AI and having AI work for you Bookmark and watch it today Then read the article below ↓

Andrej Karpathy: "Prompting is going away. Delete everything, keep Graph." In just 124 minutes, he shows how to build graphs and why they're the only layer that survives in the end Prompts → Agents → Loops → Graphs a loop keeps one agent running until the job is done a graph decides which agents exist and what each one passes to the next anyone can build an agent, almost nobody builds the graph that runs them watch it today, then save the full guide below ↓

This is f*king insane. OpenAI co-founder Andrej Karpathy: "Prompting is going away. Delete everything, keep Graph." In 1 hour he shows how to build Graphs, and why it's the only thing left standing at the end LLMs → Prompts → Agents → Graphs skip the agent and you're the one finishing every job by hand skip the graph and every finished job is forgotten, so the next run starts from zero again Bookmark and watch it today Then read the article below ↓

Don't waste 2 years learning to build self-improving AI agents. Stanford just dropped a 3 hour course on building AI agents from scratch. 00:00 - self-improving AI agent basics 1:07:24 - multi-step reasoning in AI agents 2:22:04 - AI agents learning from feedback Anthropic pays $750,000/year to AI engineers who master this exact skill of building AI agents. Bookmark this & watch, no matter what. It'll be the most productive way to start your week. Then read the article below.

Anthropic engineers just dropped the best 1-hour course on building agents with Opus 5.5: "Opus 5.5 is the best model for building agentic systems." 00:00 - intro to Managed Agents 07:45 - Opus 5.5 brain + architecture 23:40 - skills, loops, memory graphs 54:00 - agent dreaming and orchestration Prompts → Agents → Loops → Graphs most people will stop after the architecture chapter and call it an agent the final twenty minutes are where the agents start running each other same model, same tokens, completely different week watch it today the full article is below, save it while it is still early ↓

Andrej Karpathy: "Prompting is going away. Delete everything, keep Graph." In 1 hour he shows how to build Graphs, and why it's the only thing that will be left standing at the end LLMs → Prompts → Agents → Graphs skip the agent and you're the one finishing every job by hand skip the graph and every finished job is forgotten, so the next run starts from zero again watch it today then save the full guide on Graphs below before everyone catches up ↓

Stanford AI engineering course: "Anyone can build an AI agent in 60 minutes" Stanford just dropped a free course on building AI agents from scratch 00:00 - build your first AI agent 48:13 - create agents without coding 54:33 - ship one that runs overnight Prompts → Agents → Loops → Graphs skip the layer above the loop and every fork inside it stays a full frontier call skip the graph and the agent that works in the demo gets expensive the day it runs nonstop watch it today then save the full graph engineering guide below before everyone catches up ↓

Anthropic engineer: "At Anthropic we don't write prompts anymore. We build loops and graphs." In 28 minutes she shows how Anthropic builds agents that remember, fix their own mistakes and get sharper with every run Chats → Prompts → Loops → Graphs skip the loop and every mistake quietly ships again with the next run skip the graph and nothing that worked ever carries over, so you start from zero each week most people stop at the loop and wonder why week two looks exactly like week one watch it today then save the full graph engineering guide below before everyone catches up ↓

Anthropic engineer: "90% of our engineers were already running self-improving loops Now everyone is building agentic graphs" "Prompting is basically over" In just 10 minutes, she builds her whole Claude Code system live from an empty terminal Prompts → Agents → Loops → Graphs skip the loop and the same mistake ships again next week skip the graph and you're still the one wiring every agent together by hand prompting was the old workflow, graph engineering is the new one watch it today then save the full guide below before everyone catches up ↓

Sam Altman (CEO of OpenAI): "You don't need to write prompts anymore. You need loops and graphs." In 39 minutes he shows how to use LLMs better than almost anyone does Chats → Prompts → Loops → Graphs skip the loop and every mistake comes back as something you blame on the model skip the graph and you're the one deciding every job by hand, every single day that's the gap between using AI and having AI work for you watch it today then save the full graph engineering guide below before everyone catches up ↓

Andrej Karpathy: "Prompting is going away. Delete everything, keep Graph." In 1 hour he shows how to build Graphs, and why it's the only thing that will be left standing at the end LLMs → Prompts → Agents → Graphs a prompt gets you one answer and then forgets the job an agent finishes the job and then forgets what it learned a graph keeps every finished job and turns it into the starting point of the next one the first 10 minutes alone are worth more than most paid courses watch the lecture first, then save the full guide on Graphs below ↓

Google Brain founder, Andrew Ng: "Prompting will die in 6 months. Loops and Graphs are what's replacing it." In 2 hours he shows how to build agents that work and improve entirely on their own Prompts → Agents → Loops → Graphs a prompt is a guess you have to check yourself a loop checks its own work and keeps going until it's right a graph remembers what worked and starts the next run from there the first 15 minutes alone are worth more than any $500 course watch the lecture first, then save the full guide on loops and graphs below ↓

Google's Jeff Dean just dropped the best 1-hour lecture on AI engineering: from basics to Graphs 1:45 - LLM from scratch 17:22 - how to use AI models 30:03 - prompt engineering 52:35 - one human coordinating 100 agents 1:02:40 - where the coordination actually lives 27 years of building AI at Google, packed into one hour Prompts → Agents → Loops → Graphs most people will stop at the prompt engineering chapter and call it learning he spends the last twenty minutes on the part that is still true next year same model, same tokens, completely different week watch it today the full guide on graph engineering is below, save it while it is still early ↓

Google just released the best 1-hour course on Graph Engineering: from one agent to a full 24/7 system 00:00 - what graphs are 09:16 - build an agent 21:15 - graph engineering explained 41:03 - graph engineering in practice 52:21 - self-improving graphs free, and the best thing on graph engineering I have seen Prompts → Agents → Loops → Graphs most people will watch the first nine minutes and go back to typing into a chat box he spends the last twenty on the part that is still true next year same model, same tokens, completely different week watch it today the full guide on agents and graphs is below, save it while it is still early ↓

Andrew Ng just released the best 2-hour course on Graph Engineering: from single agent to full automation 9:14 - your first agent 33:11 - loop engineering 1:02:46 - graph engineering 1:30:15 - agents that rewrite themselves 1:49:05 - full graph system two hours, and it replaces every agent course you bookmarked this year Prompts → Agents → Loops → Graphs most people will stop after the first agent and call it automation he saves the last forty minutes for the graph that runs it without him same model, same tokens, completely different week watch it today the step-by-step guide is below, save it while it is still early ↓

Google just released a 1-hour course on full AI engineering: from 1 agent to Loops and Graphs 7:02 - build your first agent 13:34 - what agents can do 23:08 - context engineering 32:56 - graph engineering 54:11 - full autonomous system one agent saves you an hour. a thousand replaces the team. Prompts → Agents → Loops → Graphs most people will stop after the second timestamp and call it a system he spends the second half on the part that is still true next year same model, same tokens, completely different week watch it today the full guide on loops and graphs is below, save it while it is still early ↓

Anthropic just dropped the best 1-hour workshop on Loop engineering: from one prompt to a loop that improves itself 5:31 - loop memory 11:02 - check, build, commit 13:06 - one feature per loop 33:03 - MVP in one hour free, and the best thing on loop engineering I have seen Prompts → Agents → Loops → Graphs most people build the loop and stop there, because it works the part almost nobody builds is what carries an accepted result into the next run same model, same tokens, completely different week watch it today the step-by-step guide is below, save it while it is still early ↓

Google just released the best 1-hour course on Graph Engineering: from one agent to Loops and Graphs 00:00 - your first AI agent 08:24 - build agent memory 28:34 - agentic loops 40:04 - how to build MCP 1:00:22 - graph engineering free, and the best thing on graph engineering I have seen Prompts → Agents → Loops → Graphs most people will stop after the memory chapter and call it a system he saves the last twenty minutes for the layer above all of it same model, same tokens, completely different week watch it today the step-by-step guide is below, save it while it is still early ↓

Anthropic just released the best 1-hour workshop on how to build with AI in 2026: from one prompt to Agentic Loops 00:26 - the end of prompting 16:57 - self improving loops 25:27 - 1 engineer, 5-person output 36:25 - building your first loop one hour, and it kills every prompt pack you bookmarked this year Prompts → Agents → Loops → Graphs most people will stop after the prompting chapter and call it a workflow he saves the last twenty minutes for the loop that rewrites itself same model, same tokens, completely different week watch it today the step-by-step guide is below, save it while it is still early ↓

Anthropic senior engineer just dropped a 1-hour course on building a team of agents with loops & graphs: 00:27 - introduction to claude-md & Plan mode 11:24 - building skills and hooks for Claude agents 37:02 - building agents and subagents with Claude 52:47 - self-improving loops and graphs for Claude agents taught by someone who builds this inside Anthropic Prompts → Agents → Loops → Graphs a loop closes one job without you a graph decides which jobs exist and carries every accepted one into the next run watch it today then save the full guide on building a team of self-improving agents below before everyone catches up ↓