Google just dropped a free 8-minute lesson on building your first AI agent.
This is the clearest explanation of AI agents and loops you'll find anywhere.
People are paying $500 for courses that teach less than this.
Watch it, then read the step by step guide on building loops for your agents below.
this is f*cking dangerous
someone just open sourced the entire "LOOP ENGINEERING" framework for free
build a hedge fund printing alpha 24/7 by feeding it into claude code with my article below
bookmark before someone takes it down
Anthropic shows this video to every new employee. Someone re-uploaded it.
I hope Anthropic doesn't see this.
14 minutes of how the Claude team actually uses Claude in real work.
I watched the recording last night and kept pausing it. Each time realizing I've been using Claude like a toy.
claude.md + loops is what makes Claude stop fighting you and start working for you.
Most people will keep using Claude the hard way.
Raphael Townshend, Stanford AI PhD and founder of Atomic AI (Forbes 30 Under 30):
""Wall Street will pay you $500K a year to build these models. I'd rather teach them to you for free."
this free stanford lecture holds the entire "77% win rate, pure math" random forest the 2026 quant threads sell you. and the guy teaching it didn't take the wall street money either, townshend went on to found an ai drug-discovery company and land forbes 30 under 30.
at the board he builds it from scratch: one decision tree overfits, so you grow hundreds on random subsets of the data and features and average them. the errors cancel, the signal survives. that's the whole "100 ai agents auditing the market" idea, minus the marketing.
the √N feature rule, the out-of-bag error, the probability output, all of it is standard ensemble learning, taught free by stanford for years. random forests came out of leo breiman's public paper in 2001. the thread didn't discover it. it renamed it.
and here's the honest part the win rate hides. a model that scored 77% on past data is describing the past, not promising the future. ensembles cut variance, they don't turn a weak edge into a real one, and markets shift under the model in ways the training set never warned about. the lecture is free. knowing whether your 77% survives out of sample and on live capital is exactly the part the post skips."
Sam Altman, CEO of OpenAI:
"To build with AI, you don't need a huge team. You need a good idea."
In a 52-minute keynote, he describes how building has stopped requiring a company behind you.
For the first time, one person with a setup can produce what used to take a floor of staff.
That's the shift quietly minting the first solo fortunes of the AI era.
Watch the keynote, then see the skill behind it in the article below.
Bookmark this one.
How to build an agent that gets better over time:
There are 3 areas an agent can learn from:
1. The model: Only works for code and math, where a computer can score right vs. wrong. Leave this to the big labs.
2. The harness: These are the steps, tools, and safety checks you build around the model. This is easy to control and will give you a huge payoff now.
3. The context: This is a plain-text representation of what the agent has learned. Probably the simplest place to start.
But there's something else that most people miss:
Your agent should learn from its users.
You want to learn from every time a user fixes the agent's decision. Nothing can replace feedback from real usage.
Anthropic posted the best prompting lecture I've ever seen... and deleted it two days later.
I watched the recording last night and kept pausing it. Each time I opened Claude to test what they showed.
Two Anthropic engineers showed in 24 minutes how the Claude team actually uses it.
Not tips. Not hacks. The way they actually talk to Claude. Every day. For real work.
After 3 minutes you'll want to rewrite every prompt you've ever sent.
A senior Anthropic engineer just dropped 11-page PDF on "Loop Engineering" for agentic systems.
The shift: you stop prompting the agent. You build the system that prompts it instead.
Schedule → Discover → Build → Verify → Repeat
Every loop runs one turn, five moves:
• Discovery: it finds its own work - failing CI, open issues, recent commits - instead of being handed a list.
• Handoff: each task gets an isolated git worktree so parallel agents don't collide.
• Verification: a second agent, told to assume the code is broken, reviews the first. The "thing that can say no."
• Persistence: results get written to disk, never left in a context window that gets flushed.
• Scheduling: an automation wakes it on a timer. That's what makes it a loop.
The key insight: an agent grading its own work always praises it.
This 11-page PDF changed how I'm building agentic systems today.
Read it now, then explore the article below.
Anthropic engineers just showed how to build agentic systems that run for days using "loops."
"At Anthropic, >30% of our code is already written by loops - that's how we ship so fast.
in this 40-minute workshop, they reveal the whole stack:
agent loop + harness + memory + sub-agents.
Worth more than any $500 vibe-coding course.
Watch workshop today, then read article below.
Karpathy just said the people who don't use LLMs are already losing
he spent 4 minutes explaining why smart people are still going to fall behind
not only the people who refuse AI, but also those who think signing up for Claude counts as using it
typing a prompt and reading what comes back isn't the skill, anyone can do that
the real shift is going from asking AI things to building something that runs without you
that's exactly why I wrote an article on Claude features most people don't even know exist
read the article below and you'll already be ahead of 99% of people
Claude Code creator:
"Loops are as big a step as move from source code to agents. Loops - step from agents to the next thing.
30% of my code is fully written by loops right now."
in a 40-minute fireside chat, Boris Cherny reveals his actual working setup.
Loops + dynamic workflows + routines, and more.
Watch the full episode, then read the article on loop engineering below.
1773’te yapıldı.
Elektrik yok.
Motor yok.
Pil yok.
Ama hâlâ çalışıyor.
Gümüş Kuğu, 250 yılı aşkın süredir yalnızca yaylar ve pirinç dişlilerle hareket eden bir mühendislik şaheseri.
Bazen mühendisliğin zirvesi, elektriğin icadından çok önceydi.
Seth Godin gave a masterclass on how to build an unforgettable brand in the age of AI:
1. Marketing is not about spend. It is about creating the conditions for other people to eagerly spread your idea.
2. Authenticity is overrated. What customers actually want is consistency. Show up the same way every single time and that is worth more than any Super Bowl ad.
3. Everything your company does is a marketing decision. How you answer the phone. What you charge. How you design things. Marketing is not a department. It is everything.
4. Trust is simple. Make a promise. Keep it. Especially when it is hard.
5. Successful brands are built with your customers talking about you. Not you talking about you.
6. A brand is not a logo. A brand is a promise. Nike has a brand. Hyatt has a logo. One of them you know exactly what to expect. The other you do not.
7. You are measuring the wrong things. Follower counts. Stock price. Open rates. False proxies will take your business in the wrong direction faster than anything else.
8. Social media followers mean nothing. Godin has 400,000 Instagram followers and says if he posts about a new book maybe 12 people buy it. The number is a distraction.
9. Stop trying to be famous. The goal is not to get more famous. The goal is to get less famous and more trusted.
10. Average marketing reaches average people. Average people will not buy your product. You need the people who will talk about you, challenge you, and eagerly pay more for better.
11. When you pick your customers you pick your future. Stop trying to reach everyone. Start trying to deeply serve someone specific.
12. Better beats louder every time. One guy running a wine email list with 130,000 subscribers does $30 million a year in revenue. No ads. No social media hustle. Just consistently better.
13. The real opportunity with AI is not making things cheaper. It is making things better. The businesses that use AI to deepen relationships will win. The ones using it to cut costs will race to the bottom.
14. Your job is not to do your job. Your job is to solve problems for other people and make things better by making better things. Everything else is just noise.
15. When AI becomes the buyer it will always choose the cheapest option. If your entire business strategy is being the cheapest, AI will destroy you. The only protection is being worth it in ways that cannot be easily measured.
16. The next level of marketing is permission at a depth nobody has achieved before. The brand that knows your tools, your projects, your needs, and shows up to help without being asked will be impossible to replace.
17. Most businesses will use AI to spam more people faster. The businesses that win will use AI to serve fewer people better. That gap is the biggest opportunity in marketing right now.
18. You have a squadron of summer interns available for twenty dollars a month. They are not that good but they are very eager. The businesses learning to be good bosses of AI right now will have an enormous advantage over everyone waiting to figure it out later.
19. The question every business should be asking is not how do I get more attention. It is how do I become the kind of business that people would genuinely miss if it disappeared tomorrow. That answer is your entire marketing strategy.
Andrej Karpathy: "10x engineers are normal. real agentic engineers are 100x"
this guy just shipped the playbook to become 100x
context engineering. tool design. orchestrator-subagent. evals. the harness mindset.
watch & bookmark it for this weekend
Creator of Claude Code:
"At Anthropic, almost 100% of our engineers are running 100+ agents with self-improving loops
self-improving loops help agents become better with each run."
in a 1-hour podcast, Boris explains how they build agents from scratch.
Claude + loops + agent teams + dynamic workflows
Watch the talk and bookmark it, then read how to build your first agent team below.
NVIDIA CEO, Jensen Huang:
"Nobody writes prompts anymore. The new job is to write and handle loops."
He calls it the shift that defines the rest of 2026.
Interview was out just yesterday.
Watch the 23 minute talk, then save the full framework below👇
🚨BREAKING: GOODBYE POWERPOINT forever.
Claude just collapsed 5 hours of presentation building into 100 seconds completely free.
10 prompts to go from completely unprepared to completely untouchable in every meeting: 👇
(Save this 🔖 you’ll need it later)