A CHINESE GUY STOPPED PAYING WEB DESIGNERS $1,800 PER LANDING PAGE AND BUILT THE SAME KIND OF SITE WITH CLAUDE CODE IN ONE AFTERNOON FOR LESS THAN $70
claude was not just writing code. it was doing the job of a designer, copywriter and frontend dev in one window. in 4 hours, one rough idea turned into the layout, color system, font choices, page sections and the full html/css/js build
the real trick was the references. he gave claude 5 screenshots, made it ask 7 questions first, then pushed it toward one clear visual direction instead of accepting another generic ai-looking template
the first version already looked solid. the second pass made it feel expensive: better typography, a darker palette, mobile cleanup, cursor effects, 6 micro-interactions and custom hero visuals
his old workflow was burning $1,200 on design, $500 on frontend work and another $150 on small fixes every time he needed a new page. now the whole test costs less than $70 and the site still looks like something a $5,000 agency would ship
the edge is not “ai builds websites.” the edge is that one person can now brief, critique, polish and launch in one afternoon without waiting 10 days for a designer to send version one
🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch it and bookmark it now.
Hermes Agent reached 140k GitHub stars in just three months, and the reason is deeper than “another AI agent.”
The real differentiator is the learning loop behind it.
Apple spent 7 years and $3,500 per unit building Vision Pro, this guy did something better with a webcam in his bedroom.
And no, this isn't a render, it's running live on his laptop right now with a webcam pointed at his hands.
This webcam tracks 21 points on each of his hands in real time, every fingertip, every knuckle, every joint, mapped to a 3D skeleton at 60 frames per second.
A piece of digital silk is rigged to that skeleton, so when he opens his palm the fabric drapes across his fingers, when he closes his hand it crumples in his fist, when he tilts his wrist the cloth slides off and folds with real physics, light reflecting off it like actual material.
He can grab it, stretch it, throw it, catch it, all with his bare hands and zero hardware on his body.
No headset, no gloves, no $3,500 face computer, no 600 gram brick on his skull, no 2 hour battery, no Apple ID, no App Store.
Just a webcam, TouchDesigner and a kid who saw the Vision Pro keynote and thought, I can do that for free.
Apple has 3,000 engineers, $200 billion in cash and 7 years of development time, they built a face computer most people will never own.
This guy has a laptop, a webcam and a weekend, he built a future most people can actually use.
That's what happens when you stop waiting for permission and start building.
Here's how to go from idea to working prototype in one afternoon.
Full guide below ↓
How I built with Claude 👇
1. Prompt: "Build a storytelling website where each scroll section reveals a new chapter with fluid color transitions"
2. Use Three.js for the painted texture background that reacts to cursor
3. Prompt: "Add GSAP ScrollTrigger so each section animates in as a cinematic scene"
4. Use Lenis.js for that buttery smooth scroll that premium sites have
🚨 CEO Anthropic Dario Amodei właśnie dostał nokaut na oczach całego świata.
Chiński founder Moonshot AI Yang Zhilin wziął i wrzucił za darmo całą rewolucyjną architekturę Kimi Agent Swarm.
Rój ponad 100 agentów działających równolegle. 1500 wywołań narzędzi jednocześnie.
Zadania, które Claude 4.5 i GPT-5.2 robią w godzinę, Kimi załatwia w 15 minut.
40-minutowy masterclass na NVIDIA GTC, w którym Yang tłumaczy wszystko krok po kroku:
• Orchestrator + parallel reinforcement learning
• MoE na bilionach parametrów
• Kimi Linear i 3D-synergia kontekstu
Efekt?
Kimi K2.5 miażdży Zachód w kluczowych benchmarkach agentycznych (HLE-Full, MathVista, OCRBench, multimodal) i robi to 4–5× taniej.
STANFORD'DA BİLGİSAYARLARI KAPATTIRAN O CÜMLE
Efsanevi yapay zeka profesörü Andrew Ng, Stanford'daki dersine şu sözle başladı ve sınıftaki öğrencilerin yarısı bilgisayarını kapattı:
“Önümüzdeki 10 yılda kazananları kaybedenlerden ayıracak yeteneğin, iyi kod yazmakla hiçbir ilgisi yok.”
Neden mi? Çünkü yapay zeka sayesinde artık herkesin sınırsız bir üretim gücü var. Günümüzde darboğaz "nasıl yapılacağı" değil, "neyin yapılmaya değer olduğu." Yanlış bir problemi kusursuzca kodlayanlar, doğru problemi yarım yamalak çözenlerin tozunu yutacak.
Peki neyin yapılmaya değer olduğunu nasıl bulacağız? Andrew Ng'nin bunun için "Acımasız 3 Adımlı Filtresi" var:
• 1. Filtre: Gerçekten kimin umurunda? Sadece size "havalı" gelen projelere aşık olmayın. İnsanların para ödeyeceği veya her gün kullanacağı gerçek bir dert çözüyor musunuz?
• 2. Filtre: Yapay zeka buna tek atabilir mi? Sıradan bir chat botuna yazılacak tek bir komutla (prompt) çözülebilen bir işe vakit kaybetmeyin. Asıl değer; yapay zeka ile sizin sektörel bilginizin ve özel verilerinizin kesiştiği yerdedir.
• 3. Filtre: 7 günde yayına alabilir misin? (En önemlisi) Altı ay gizlice "mükemmel" ürünü geliştirmeye çalışanlar her zaman kaybeder. Geleceğin kazananları; utanç verici, çirkin ama "çalışan" bir versiyonu hızla piyasaya sürüp eleştirilerle büyüyenlerdir.
Mükemmeliyetçiliği unutun. Şu anki oyunun kazananları en temiz kodu yazanlar değil; doğru problemi bulup, rakipleri daha düşünme aşamasındayken o "çirkin" ilk versiyonu çoktan piyasaya sürenlerdir.
AI is ready to make full films
Seedance 2.0 now can read your entire shot list to generate a full story.. keep characters, props and set design consistent with one image on BytePlus
duration and consistency is not a problem anymore
here's how with prompts:
If you’re building AI agents and haven’t watched this Anthropic talk yet, you’re already behind.
In 22 minutes, Claude’s team exposed where the entire industry is heading next:
→ tool orchestration
→ memory systems
→ observability
→ long-running agents
→ production infrastructure
Most developers are still focused on demos.
Anthropic is building for autonomous systems at scale.
The last few minutes are the real gold 👇
Watch the full talk first.
Then read my complete roadmap on becoming an AI Agent Engineer in 2026 if you want to build what the market will actually need next.
Google has killed the GPU mafia 🤯
VS Code now connects directly to Google Colab.
→ You get a free T4 GPU inside your editor.
→ Your local files. Their compute.
The creator of Claude Code: "if you do something more than once a day, turn it into a command."
One markdown file turns any prompt into a slash command you never type again.
Watch it, then grab all 10 commands below👇
20 NotebookLM Prompts
To Learn Faster, Think Deeper & Research Smarter
01. Instant Summary
Turn long documents into digestible insights.
👉 Prompt:
“Summarize this source into the 10 most important ideas, key arguments, and practical takeaways in plain English.”
02. Beginner Explanation
Make complex topics easy to understand.
👉 Prompt:
“Explain this material as if I am a complete beginner. Use simple analogies, step-by-step logic, and avoid jargon.”
03. Deep Dive Breakdown
Understand the topic layer by layer.
👉 Prompt:
“Break this source into core concepts, hidden assumptions, expert-level nuances, and what most readers usually miss.”
04. Compare Sources
Spot agreements and contradictions.
👉 Prompt:
“Compare all uploaded sources. Show where they agree, where they conflict, and what unique insights each source contributes.”
05. Study Notes Builder
Create clean notes instantly.
👉 Prompt:
“Turn this content into structured study notes with headings, bullet points, definitions, and memorable examples.”
06. Flashcards Generator
Convert information into active recall.
👉 Prompt:
“Generate 25 high-quality flashcards from this material with question on front and concise answer on back.”
07. Quiz Me
Test your understanding.
👉 Prompt:
“Create a progressive quiz from easy to difficult based only on this source. Wait for my answers and grade me.”
08. Memory Hooks
Make information stick.
👉 Prompt:
“Create mnemonics, analogies, and memory anchors that help me retain the most important parts of this content.”
09. Timeline Extraction
Organize events chronologically.
👉 Prompt:
“Extract every important event, milestone, or development from these sources and arrange them into a clean timeline.”
10. Key Quotes Finder
Find the strongest supporting evidence.
👉 Prompt:
“Pull out the most impactful quotes, data points, and evidence from these sources that I can cite in writing or presentations.”
11. Research Gaps
See what’s missing.
👉 Prompt:
“Identify unanswered questions, weak arguments, missing evidence, and research gaps across these materials.”
12. Debate Both Sides
Sharpen critical thinking.
👉 Prompt:
“Present the strongest arguments for and against the main thesis of these sources as if two experts were debating.”
13. Turn Into Framework
Extract repeatable systems.
👉 Prompt:
“Convert the ideas in these sources into a practical framework, checklist, or repeatable system I can apply.”
14. Content Repurposing
Turn research into publishable content.
👉 Prompt:
“Use these sources to generate a LinkedIn post, article outline, tweet thread, and newsletter idea.”
15. Expert Interview Mode
Ask the notebook questions.
👉 Prompt:
“Act as the world’s top expert on these uploaded materials. I will ask questions answer only from the sources.”
16. Executive Briefing
Condense for busy decision making.
👉 Prompt:
“Create a 5-minute executive briefing with only the most strategic insights, implications, and action points.”
17. Lesson Plan Creator
Transform notes into a curriculum.
👉 Prompt:
“Turn this notebook into a 7-day learning plan with daily lessons, exercises, and checkpoints.”
18. Idea Generator
Use sources for new thinking.
👉 Prompt:
“Generate 20 original ideas, opportunities, or applications inspired by the uploaded materials.”
19. Simplify for Teaching
Prepare to explain to others.
👉 Prompt:
“Rewrite the key ideas from these sources into a teaching script that I can explain to someone in 5 minutes.”
20. Action Plan
Move from knowledge to execution.
👉 Prompt:
“Based on everything in these sources, create a practical action plan with first steps, priorities, and deadlines.”
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Eric Schmidt (ex CEO de Google): “Si de verdad quieres ganar dinero, es fácil: crea una empresa de IA agentiva.”
Spoiler: faltan creadores, sobra demanda.
Está regalando el playbook 2026 para vender automatizaciones con IA y llegar a $ 10k/mes.
Guárdalo. Empieza este finde.