this is f*cking gold
How to build your first AI agent (Full guide)
if I had this a year ago, I would've shipped my first agent in a day instead of 2 weeks
in the right hands, this changes everything:
YouTube just made FIFA World Cup clips monetizable. 1M views pays up to $15,000.
The tournament started June 11. Soccer Shorts are pulling 12M views while you read this.
Old way: download clips, cut for hours in CapCut, eat a copyright strike, earn $0.
New way takes 10 minutes.
Step 1 Connect.
Open Claude → Customize → Connectors → hit the +.
Add a video MCP connector. Done in 30 seconds.
Step 2 Hunt.
Search “FIFA World Cup clips” on YouTube. FIFA’s own channel sits at 26.3M subscribers. Their compilations pull 1.5M to 12M views each. Pick one, copy the URL.
Step 3 Prompt.
“Clip this video into viral YouTube Shorts formats” then paste the URL.
That’s the whole prompt. 1 sentence.
Step 4 Watch.
Claude finds the peaks, cuts 3 vertical 9:16 Shorts, picks the font, burns in captions, writes the titles. “Mbappé Turns The World Cup Final In 97 Seconds” it named that one itself.
The math:
3 Shorts per clip. 10 clips a day. 30 Shorts daily without filming, editing, or showing your face. Shorts pay less per view than long-form so you win on volume, not RPM.
The window: the final is July 19. 37 days of the biggest sporting event on earth, monetizable for the first time.
Most creators will watch the games.
A few will clip them.
Day 1 of posting AI YouTube videos daily until hitting $6,700 a month
The niche came from a single video - a man begging to get inside to escape a tornado. 15,000,000 views. The format was the product.
Same format. Different threat. A gorilla instead of a tornado.
ChatGPT wrote the prompt. Sora generated the video. ViewMax removed the watermarks and added an AI script and voiceover.
Total production time: minutes.
The logic is clean: find a format with 15,000,000 views behind it. Don't reinvent. Replace 1 variable. Post daily and let volume find the hit.
Day 1 is done. The video is live.
The channel either compounds or it doesn't. That answer comes from consistency, not talent.
30 days of this and the data tells you everything.
CHINESE GIRL WITH CLAUDE 5.0 JUST DROPPED THE FULL 31-MIN TRADING BOT BUILD GUIDE
(Build Apps & Automations)
bookmark it and watch when you've got 31 quiet minutes, you will forget what losing manual trades are forever.
A 19-year-old is making $50,000 a month from automated kids’ YouTube videos.
He’s never been on camera.
The whole channel runs on AI.
Here’s the exact 6-tool stack - in order:
Step 1: ChatGPT generates the script.
Upload 3 reference scripts you like. Ask it to break down the style, pacing, sentence length. Then give it your topic. It writes the full script in that voice.
Step 2: ChatGPT breaks the script into scenes.
Paste the script back. Ask for 2 things: a scene-by-scene breakdown and a master character prompt in the animation style you want. Copy that character prompt.
Step 3: Flow builds the character.
Go to flow. Paste the character prompt. Generate. You now have a consistent visual identity for every scene.
Step 4: Flow generates every scene image.
Take each scene prompt from Step 2. Paste it into Flow. Drag in your character as an ingredient. It locks the look across every image. Download all scenes.
Step 5: Grok turns images into video.
Go to grok → Imagine. Upload each scene image. Add a motion prompt. 8 scenes become 8 clips.
Step 6: CapCut assembles the final video.
Drop clips on the timeline. Add voiceover. Add captions. Export.
Total tools: ChatGPT, Flow, Grok, CapCut.
Total cost: under $30/month.
The kid filming himself in his bedroom is competing with someone who hasn’t touched a camera in 8 months.
THE WORLD CUP AND YOUTUBE WILL PRINT YOU THOUSANDS OF $$$ 💸💰💰
Here’s a full video guide on how to make a lot of money on YouTube faceless reels with the up coming World Cup ⬇️
opus 4.8 dropped and you can now run an ENTIRE faceless youtube channel from ONE chat...
just connect Nexlev + ElevenLabs + Canva + inVideo AI into claude with MCPs
and voilá:
> one prompt does the research
> voiceover, thumbnail and edit, no tab-switching
> the channel even self-corrects after it learns from its own analytics
and i've decided to document the ENTIRE autonomous stack...
the exact 6-tool MCP setup that takes a niche from research to a published video without you ever leaving the claude window
the same way channels printing $10k-$100k+/month run their whole operation, fully automated
here's what's included inside the doc:
- the NexLev research MCP
(finds faceless channels under 50k subs suddenly pulling outlier views, rips their audience-retention drop-off curves, and estimates RPM per niche so you build in a $15 RPM niche instead of a $3 one)
- claude opus 4.8 as the script brain
(reverse-engineers the packaging FIRST, 10 high-CTR title + thumbnail concepts before a word of script exists, then writes around the EXACT retention drop-offs the data exposed and front-loads a pattern interrupt where competitors bleed 30% in the first 20 seconds)
- the elevenlabs voice MCP
(cloned voice with dynamic vocal fry, real breathing and pacing mapped to the emotional arc, tense sections faster and revelations slower, broadcast-quality audio dropped straight back into the chat)
- the canva thumbnail MCP
(autofills the thumbnail from your locked brand template using the title text generated back in research, exports the high-res png into the conversation while you do nothing)
- invideo + agent one for the render
(picks the best video model per scene, photorealistic footage, AI cinematic, or stock b-roll, swaps elements on command, syncs to the elevenlabs audio and renders the final mp4)
- the youtube api for publish + self-correction
(auto-publishes with SEO description and tags scheduled for peak hours, then 48 hours later pulls CTR, retention and RPM back so claude permanently adjusts its thumbnail and scripting logic for the next video)
all backed by 7,000+ faceless youtube videos engineered across 50+ niches that lead to 150M+ views
and for 24h, it can be all yours for free
like + comment "AI" and i'll send it over
(must be following + RT for priority access)
800 MİLYON İZLENMEYİ GETİREN YOUTUBE STRATEJİSİ (Türkçe Altyazılı)👇
5 ayda 75.000 dolar kazanan YouTuber, sıfırdan nasıl büyüdüğünü hiçbir şeyi saklamadan anlattığı bir video yayınladı.
"en çok konuşulan kısım algoritma değil, izleyiciyi ekrana kilitleyen psikoloji sistemi."
>hook, body, reward çerçevesi
>3 saniyede izleyici yakalama
>ücretsiz araçlarla içerik üretimi
>günde 60 dakika iş, günde 2000 dolar
yeni başlayanlar, YouTube'a girmek isteyenler ve yıllardır uğraşıp sonuç alamayanlar bile bu videodan somut bir şeyler götürecek.
Khan Sir:
"वे धमकी दे रहे हैं कि मेरा कोचिंग सेंटर बंद कर देंगे। मुझे इससे कोई दिक्कत नहीं है, सरकार उनकी है, पुलिस उनकी है, कानून भी उनका है।
लेकिन ध्यान से सुन लीजिए, आपकी सरकार ने मुझे न मेरा नाम दिया है और न ही मेरी कोचिंग बनाई है। अगर इसे तोड़ भी दिया, तो मैं इसे फिर से खड़ा कर दूँगा।"
यही होता है जब आप सरकार से सवाल पूछते हैं।
🚨ULTIMA HORA: Alguien acaba de publicar el curso de 5 horas de Python más completo para IA que existe en internet.
00:00:00 Introducción: Aprende Python para IA
00:01:42 Descripción general del curso
00:03:58 Instalación de Python
00:04:05 Instalar Python en Windows
00:05:10 Instalar Python en Mac
00:06:53 Instalación de VS Code
00:08:34 Configuración de VS Code (Extensiones)
00:12:08 Personalización de VS Code
00:13:31 Crear tu primer proyecto
00:16:18 Crear un espacio de trabajo en VS Code
00:18:02 Tu primer archivo Python (https://t.co/xFvUCVALjP)
00:20:10 Ejecutar código Python
00:26:23 Ejercicio y resumen
00:29:26 Recursos del curso y comunidad
00:31:07 Entender los entornos de Python
00:33:15 Entender los paquetes de Python y Pip
00:34:00 Crear entornos virtuales (venv)
00:37:34 Nota sobre Anaconda
00:38:32 Instalar paquetes de Python (pip install)
00:42:51 Usar paquetes de Python (Import)
00:44:29 Python interactivo con Jupyter
00:48:30 Resumen completo de configuración y ejercicio
00:51:36 ¿Qué es la programación?
00:55:19 Sintaxis de Python y PEP8
00:58:00 Entender y depurar errores
01:01:33 Variables
01:06:03 Comentarios
01:09:48 Introducción a los tipos de datos
01:10:12 Números (enteros y decimales)
01:13:36 Cadenas de texto (Strings)
01:19:39 Formato de cadenas (F strings)
01:21:49 Métodos de cadenas
01:26:35 Booleanos
01:31:02 Operadores (aritméticos, de comparación y lógicos)
01:39:19 Asignaciones abreviadas (+=)
01:40:24 Introducción al flujo de control
01:41:35 Condicionales (if, elif, else)
01:47:11 Bucles (For y range())
01:52:13 Introducción a las estructuras de datos
01:53:32 Listas
01:59:10 Diccionarios
02:00:23 Tuplas
02:01:37 Conjuntos (Sets)
02:05:51 Funciones (definir y llamar)
02:15:02 Parámetros y argumentos de funciones
02:22:42 Alcance de variables (global vs local)
02:28:50 Retornar valores desde funciones
02:37:37 Herramientas externas (módulos y paquetes)
02:40:48 Importar módulos y funciones integradas
02:47:56 Resumen de métodos de importación
02:48:48 Instalar paquetes y requirements.txt
02:56:04 Trabajar con APIs (ejemplo con Requests)
03:06:20 Trabajar con datos (Pandas y Matplotlib)
03:10:46 Leer y guardar archivos de datos
03:14:50 Introducción a Python práctico
03:16:47 Estructura y organización de proyectos
03:22:02 Entender las rutas de archivos
03:26:37 Trabajar con diferentes tipos de archivos
03:34:05 Organizar el código en módulos
03:39:39 Manejo de errores (Try/Except)
03:45:31 Introducción a las clases (POO)
03:49:09 Crear tu primera clase (__init__, self)
03:57:04 Atributos de clase vs instancias
04:00:10 Métodos de clase
04:05:23 Herencia de clases
04:07:32 Cuándo usar clases vs funciones
04:09:44 Introducción a Git y GitHub
04:12:31 Fundamentos de Git
04:15:41 Instalar Git
04:16:46 Flujo de trabajo básico con Git
04:18:41 Crear cuenta en GitHub y autenticación
04:22:37 Clonar repositorios de GitHub
04:28:12 Crear repositorios y .gitignore
04:36:12 Usar Git con la interfaz de VS Code
04:44:05 Variables de entorno y secretos (.env)
04:52:13 Usar el paquete python-dotenv
04:55:03 Introducción a Ruff (linter y formateador)
04:56:13 Configurar Ruff en VS Code
04:57:23 Ruff en acción
05:01:10 Introducción a Uv (gestor de paquetes moderno)
05:02:07 Instalar Uv
05:02:30 Usar Uv (uv init, add, sync)
05:09:01 Ejercicio completo de flujo de trabajo en Python
05:11:13 Cierre del curso y próximos pasos
Desde cero hasta construir agentes con APIs reales, entornos virtuales, Git, clases y manejo de errores.
I've read a hundred "make money with AI" posts. Most are hype. This one is different.
The idea: build a bunch of boring little tools. PDF converters, GST calculators, JSON formatters, word counters.
Each one ranks for a keyword. Each visitor sees an ad. Do that 1,000 times and you're at $10K/month.
No audience. No content grind. No selling. Just tools that quietly rank and compound for years.
The best part is it's actually achievable. AI builds the tools now. The only real work is SEO and getting AdSense set up right.
That's exactly what I'm going to do next. Building the tools, ranking them, attaching AdSense.
If you haven't read this one yet, go read it.
And if you're not sure how to set up AdSense, I attached a video below.
INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 1 hour with this.
Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything.
The people who watch this tonight will wake up tomorrow with a new skill.
Watch it and Bookmark it now.
A 19-euro tool just replaced 8,000 Meta employees.
Here’s the exact workflow a TikTok creator used to build AI influencer videos from scratch — no camera, no team, no budget.
Step 1. Open Pinterest. Search “Girl Self.” Save the image you like. Open Nanobanana Pro.
Step 2. Swap the face using a single prompt. (Link at the bottom.)
Step 3. Take your generated photo into Crust. Currently the easiest video-from-image tool on the market.
Step 4. Create 3 nodes: reference image, text, video generator.
Step 5. Drop your photo into the image node. Write a video prompt into the text field. This is what makes the photo move.
Step 6. Connect the nodes. Text to text-in. Image to image-in. Select Kling 2.6. Set duration. Toggle sound.
Step 7. Hit generate.
2 prompts. 1 AI girl. 0 employees.
Meta spent $14B on Reality Labs last year to build digital humans. This creator built one in 7 minutes for less than a dinner.
The prompts are free in the reply.
how is this even legal?! 😭
this 20/yo girl made $1,000 while sitting at a pool with YouTube automation.
YouTube + Clipping = 💰
She only uses 3 tools:
> YouTube
> AI clipping
> Claude
if you’re between the ages of 18-22 this is the best side hustle you can do in 2026.
I cannot come up with a better and more remote job than what she’s doing…
(p.s you can start AI clipping with https://t.co/qRDa2sYLFR today)