This is f*cking gold..
Chinese researchers just published a paper with a brutal title: "The End of Prompt Engineering".
The argument is simple: telling agents what to do is finished as a skill.
A prompt is a wish, and a wish repeated three hundred times is still a wish.
Boundaries written in a file are law -- read by every agent before every action, versioned, owned by you.
At swarm scale nothing else composes.
Three hundred agents cannot share a vibe, they can share a file.
So the person stops being the one writing instructions. You turn into the boundary architect -- you define what never happens and audit the asks.
Prompts turn disposable, the constraint file turns into the job.
That is exactly the system I built and documented below: one AGENTS.md, three hundred Kimi K3 readers, zero escapes in 41 days.
The paper's whole thesis in one line: write the fence before the keys ↓
i'm sorry, Claude can WHAT?
it can take your website link, find people who need your product, email them and book the calls?
since when?? i've been doing this by hand for a YEAR.
ok. testing it: $30 free ����
https://t.co/sBA3XfULW3
Don't waste 2 years learning to become an AI agentic engineer in 2026.
Andrew Ng, the godfather of AI, gave the complete playbook to become one from scratch.
1 hour course. Free:
• 00:00 - AI agent basics
• 12:12 - AI Agentic workflows & design patterns
• 53:27 - Practical tips for building AI agents
• 1:20:30 - self-improving AI agent loops
• 1:30:19 - multi-agent AI systems
I watched it last night.
Halfway through, I realized I could get into Anthropic in weeks, not years.
Bookmark now. Watch it. Then build your own AI agent
i turned GPT-6 Astra into a 24/7 trading bot
here is the exact ARCHITECTURE i designed to build this system
the goal was simple - find profitable strategies overnight, validate them and only alert me when the statistics are real
every layer solves one specific failure mode i hit in earlier versions:
1. data source layer - 7 feeds running in parallel. 60 agents on US equity order books. 40 on Hyperliquid. 40 on Polymarket. 40 on options flow. 40 on SEC filings. 40 on X accounts. 40 on macro calendar. 300 AGENTS TOTAL
2. monitoring layer - filters raw signals into high conviction candidates before any reasoning happens. cut my monthly compute cost by 70%
3. reasoning layer - three specialist bots run in sequence. Hypothesis Bot generates strategies. Backtest Bot tests against 5 years of data. Validation Bot enforces significance thresholds
4. orchestration layer - Chief of Staff Bot routes everything through natural language. I stopped touching config files 3 months ago
5. enforcement layer - Risk Bot has zero negotiation authority. drawdown above 5% pulls every position. these numbers came from watching an earlier version blow through 12% drawdown in one session
6. output layer - Deployment Bot ships approved strategies. Telegram Bot pings my phone with instrument, strategy, Sharpe, drawdown, window and Kelly sized position
the principle i built around from day one
> no bot grades its own output
> every kill switch checkable by something other than the bot's own claim
i learned that one the hard way
SpaceXAI engineer Lauren Tan:
"I'm running 20+ GrokBot agents with /loop and /goal inside pstack
My bots ship code while I sleep
At SpaceXAI, 85% of engineers are already running 10+ GrokBot agents as a team
One Chief of Staff agent knows every other bot and manages the entire system"
GrokBot → /loop → /goal → Chief of Staff → Agent Teams
In a 1-hour workshop, Lauren shows how to build a team of GrokBot agents from scratch
Research → Code → Review → Ship
Worth more than most $1000 agent engineering courses
Bookmark and watch it today
Then read the full article on building a GrokBot agent team from scratch
Sam Altman (CEO of OpenAI):
"You no longer need to write prompts."
In just 38 minutes, he explains how to use ChatGPT at a level that most people can't even imagine.
It's a talk he gave to Stanford students. A friend sent me the recording last night.
After watching it, I realized I was only taking advantage of about 15% of what this tool can really do.
Watch it in full and then read the guide I leave below on how to create a system that prompts itself.
SpaceXAI engineer, Lauren Tan:
"99% of people are using Grok Bot wrong. at SpaceXAI, one engineer can now run an entire team of agents"
Grok Bot is turning SpaceXAI engineers into managers of autonomous agent teams
In a 1-hour talk, a SpaceXAI engineer reveals how to get 100% of every agentic tool you are using
worth more than a $500 agentic course on the internet
watch today, then read how to build your own Grok agent team from scratch in the article below
SpaceXAI engineer (ex-Cursor):
"right now I'm running 10-20 GrokBot agents that automate 90% of my routine
i have a Chief of Staff agent. He knows about all my other bots and manages everything"
in a 50-minutes podcast, a SpaceXAI engineer showed how to build a team of agents that will work for you 24/7
worth more than a $500 course on agentic engineering
watch today, then read how to build a Grok agents team from scratch in the article below
We just open-sourced our entire marketing playbook.
After huge viral success with our Marketing OS running on Grok Bot, we decided to bring it to Claude.
Introducing Marketing AGI by Maxfusion.
You no longer need your first 5 marketing hires.
📁 Marketing Department
┃
┣ 📁 Head of Marketing
┃ ┣ 📁 Positioning & Offer Design
┃ ┣ ���� Pricing Strategy
┃ ┗ 📁 Competitor Teardowns, Public Data Only
┃
┣ 📁 Copywriter
┃ ┣ 📁 20 Variants, Panel-Scored
┃ ┣ 📁 Email Sequences, Written in Full
┃ ┗ 📁 Posts Built to Survive the Feed
┃
┣ 📁 Creative Strategist
┃ ┣ 📁 The 18-Tactic Hook Engine
┃ ┣ 📁 Fatigue Caught at the Concept Level
┃ ┗ 📁 Next Tests, Ranked & Briefed
┃
┣ 📁 Launch Lead
┃ ┣ 📁 The Runway Before Launch Day
┃ ┗ 📁 Product Hunt, Hour by Hour
┃
┣ 📁 GEO Lead
┃ ┣ 📁 Ranked by ChatGPT & Perplexity
┃ ┗ 📁 App Store, Metadata to Screenshots
┃
┗ 📁 Analyst
┣ 📁 Audits, Weighted 0-100
┣ 📁 Numbers That Mean Something
┗ 📁 AI Slop, Caught on Sight
And they coordinate all the work:
A single Claude skill runs the whole loop:
The Analyst finds the problems, the Copywriter rewrites it, the Creative Strategist tests the new version, and the Analyst grades the outcome.
Comment "AGI" and I'll send you the setup.
Godfather of AI: "If you sleep well tonight, you may not have understood this lecture."
This 47-minute lecture is the best thing I've seen about AI in the last few months.
Hinton built the neural networks behind every AI alive, then quit Google to warn us it's already ahead of us on most cognitive tasks.
Despite that, most people open Claude, type one thing, close the tab and think they're using AI, but they're using maybe 10%.
I turned his talk into 17 Claude features 99% of users never find.
Watch the lecture, then read the article below.
🚨Ingeniero de Google (30 años de experiencia):
“Borra tu IDE. Ya no lo necesitas.
Si en 2026 todavía no estás construyendo agentes de IA… estás muerto profesionalmente.
En Google el 85% de los ingenieros ya viven dentro de bucles y grafos agénticos.
Esa es la nueva configuración de ingeniería. El resto es historia.”
En solo 25 minutos este veterano de Google te muestra exactamente cómo se verá la ingeniería de IA en 2026.
Vale más que 10 cursos de agentes juntos.
M��ralo YA.
Luego lee cómo montar tu propio sistema agéntico de auto-mejora en el artículo de abajo.
Andrej Karpathy has eight years at OpenAI and Tesla behind him.
Recently he put all of it into a single free 2-hour lecture.
Agents -> Loops -> Graphs -> Self-Improving Systems
People pay $10K for bootcamps that cover less ground than this does.
Two hours is a lot to ask in the middle of a week.
It is still shorter than the intro module of any paid AI course.
Save it now, watch it tonight, and the full guide is waiting below ↓
My Grok Bot just paid its own salary.
Which is completely insane.
I gave it one job...
Win back churned customers.
It:
→ Found everyone who left in the last 6 months
→ Emailed them
→ Won several back
→ Collected their feedback
Then overnight...
→ Analysed why they left
→ Built a 5-step plan to improve the community
It has already covered its cost.
This is getting ridiculous.
We just open-sourced an entire marketing department.
Introducing Marketing OS by Arcads.
It does the work of your first six marketing hires.
📁 Marketing Department
┃
┣ 📁 Head of Marketing
┃ ┣ 📁 Positioning
┃ ┣ 📁 Pricing
┃ ┗ 📁 Competitor Teardowns
┃
┣ 📁 Copywriter
┃ ┣ 📁 Copy, Graded Before You See It
┃ ┣ 📁 Email Sequences
┃ ┗ 📁 Social Posts
┃
┣ 📁 Creative Strategist
┃ ┣ 📁 Hooks, Written Out
┃ ┣ 📁 Creative Fatigue vs Dead Audience
┃ ┗ 📁 Next Tests, Ranked
┃
┣ 📁 Launch Lead
┃ ┣ 📁 The 4 Weeks Before
┃ ┗ 📁 Product Hunt, Hour by Hour
┃
┣ 📁 SEO Lead
┃ ┣ 📁 GEO
┃ ┗ 📁 App Store Rankings
┃
┗ 📁 Analyst
┣ 📁 Site Audits, Scored 0-100
┣ 📁 Test Design
┗ 📁 Spotting AI Slop
And they hand work to each other:
Analyst finds the leak → Copywriter rewrites it → Creative Strategist tests it → Analyst grades the result
One Claude skill.
Comment "OS" and I'll send you the setup.
Andrej Karpathy spent 8 years at OpenAI and Tesla
Last week, he packed everything he knows into one free 2-hour lecture
Agents → Loops → Graphs → Self-Improving Systems
People pay $15K for bootcamps that teach less than this
This lecture is better than most paid AI engineering courses
You probably don't have 2 hours right now
Don't let this disappear from your feed
Watch it
Then read the guide below