THIS AI WORKFORCE RUNS YOUR SALES, FINANCE, MARKETING AND OPERATIONS 24/7 - AND THE MODEL BEHIND IT COSTS ONE TENTH OF CLAUDE
sales agent drafts proposals and follows up on leads automatically - operations agent writes SOPs and onboards every new client - finance agent reconciles transactions every night - marketing agent repurposes one piece of content across every platform while you sleep
all connected to one central brain that remembers every customer, every deal and every conversation across 100+ interactions
now the real question is which model you build this on
Opus 4.8 wins on benchmarks - 69.2% SWE-Bench, $5 input / $25 output per million tokens, best-in-class financial analysis and flags its own mistakes when one wrong assumption can cascade into a real problem
Kimi K2.6 wins on everything else - $0.55-0.80 via API, 7-10x cheaper, open source, ran 300 parallel agents and ported 750,000 lines of Rust in 11 days - and at that price you run 5 verification passes because you can afford to
if a mistake in your finance agent can cost you a client - use Claude
if you're building at volume on a real budget - use Kimi
most people reading this already know which group they belong to.
A GIRL BOUGHT A $599 APPLE BOX AND CUT HER AI COSTS FROM $459/MONTH TO $23/MONTH. THE MAC MINI M4 IS QUIETLY BECOMING THE CHEAPEST AI SETUP IN 2026
she didn’t buy it because it looked nice on her desk. she bought it because paying for claude, chatgpt, cursor and api usage every month was getting ridiculous
the setup is simple. mac mini m4, ollama, open webui, and local models like qwen, deepseek and llama. for most daily work, that’s enough to write, code, summarize, search notes, and run private workflows without sending everything to the cloud
that’s why the math looks so good. a heavy ai stack can hit $459 a month, or $5,508 a year. the mac mini starts at $599 and uses around $3 a month in electricity. if it handles even 70 to 80% of the workload, it pays for itself fast
install ollama, point your tools to localhost, and the workflow changes immediately. no token stress, no rate limits, no wondering where your files are going
you still keep one cloud model for the hardest tasks
but once a small box on your desk does most of the work, paying full price for everything starts to feel stupid
Andrej Karpathy's advice for beginners getting into AI:
"Put in 10,000 hours of work."
He's right.
But most builders waste the first 1,000 hours on the wrong things.
They write code before understanding context windows.
They build agents before understanding token limits.
They ship products before understanding what models can't do.
The builders who compound fastest aren't the ones who code the most.
They're the ones who understood the fundamentals before touching a single line.
These are the 10 concepts that make the first 1,000 hours count ↓
Bookmark this before you start.
🚨 Karpathy was right. He warned that 90% of AI advice dies in 6 months.
Spoiler: most tools won't even survive 90 days.
What actually compounds?
> Context engineering
> Tool design
> Orchestrator-subagent patterns
> Eval discipline
> MCP as the protocol layer
> The harness mindset (harness > model)
Your plan if you have less than 2 hours today:
Watch this 40-minute video from the master.
Then get hands-on with this brilliant guide by @0xMortyx on how to build your first AI Agent in Claude in 30 minutes 👀 ↓
THIS CHINESE DEVELOPER STACKED 4 MAC MINIS ON HIS DESK - AND NOW MAKES $14,000/MONTH WHILE MAKING COFFEE IN THE SAME ROOM
4 Mac Minis connected together through EXO - an open source framework that combines multiple Apple Silicon devices into one unified AI cluster
together they have enough memory to run 70B+ models locally at full precision - something a single Mac Mini physically cannot do alone
while everyone else rents cloud GPUs for $1,900/month he paid $2,400 once and now runs the same workloads for $12/month in electricity
he started with one - added a second when the first client came in - then a third - then a fourth - and the stack on his desk became a business
clients pay for inference, data never leaves the room and the cluster scales by simply placing one more Mac Mini on top
$2,400 invested once - $0 in monthly bills - and a full AI business running while he makes coffee in the same room
@elonmusk Dear @elonmusk if people would stop spreading « problems » in medias and would start sharing ONLY good things which happen EVERYDAY the world would cure itself and become a better place ! #healTheWorld
CLAUDE CODE CAN NOW PULL LIVE DATA FROM 17,000+ STOCKS, CRYPTO PRICES, AND FINANCIAL STATEMENTS IN SECONDS.
One command. 60 seconds. Done.
Here is the exact setup:
Step 1: Open Claude Code and paste this:
claude mcp add --transport http financial-datasets https://t.co/4twbpUMYd6
Step 2: Authenticate
Type `/mcp` inside Claude Code and complete the OAuth flow in your browser.
Verify the connection anytime:
claude mcp list
Step 3: Start prompting
- "What is Apple's current P/E ratio and market cap?"
- "Show me Tesla's income statement for the last 4 quarters."
- "How has Bitcoin's price changed over the past year?"
That is it.
Claude Code now has direct access to real financial data across 17,000+ stocks, earnings reports, balance sheets, income statements, cash flow data, and crypto prices.
The analysts paying $24,000 a year for a Bloomberg Terminal are not going to be happy this exists.
Before this you needed a Bloomberg Terminal or a complex financial data API or hours of manual research across multiple sources.
Now you need one command and 60 seconds.
The quants, analysts, and portfolio managers who figure out how to combine Claude Code's reasoning with live financial data access will have a research edge that compounds every single day.
Bookmark this before you open your next brokerage account.
Docs if you run into errors: https://t.co/CgF6B3dS5V
Follow @cyrilXBT for every Claude Code integration that changes how you work with data.
@WatcherGuru Huge news ! @cz_binance does that means crypto bullshit finally is dead for all Europeans customers ? #bitcoin is the cancer of the earth and must be shutdown. Its wasting a Huge Amount of electricity and material resources for an outdated network and is clearly a blatant Ponzi!
رئيس Google السابق قلب السوشيال ميديا في تصريحاته عن الذكاء الاصطناعي!🤯
الراجل اعترف بإن عمل الثروة دلوقتي بقى سهل جداً لو دخلت المجال ده!
لو قدامك 30 يوم بس عشان تبدأ وتنفذ النصيحة دي وتدخل المجال ده بقوة، دي الخريطة الكاملة والأدوات اللي هتحتاجها من الصفر وكلها مجانية 100%:
احفظ البوست ده فوراً عشان ما يضيعش منك!
- معمارية الـ Agents: عشان تفهم إزاي تبني عميل ذكاء اصطناعي ذكي ومستقل
https://t.co/b7wYpaeSKK
- كورس Claude Code 101: البداية الأساسية للتعامل مع أداة أنثروبيك البرمجية المرعبة
https://t.co/vMzkOO4nAw
- تطبيق عملي وتجارب حية للأداة (Claude Code في العمل)
https://t.co/GY1ZaolS2U
- هندسة الأوامر (الرسمي): الدليل الرسمي من أنثروبيك لكتابة برومبت احترافي
https://t.co/R6L7r8JiVN
- كورس البرومبت التفاعلي: تدريب عملي على الجيت هاب لتطوير مهاراتكhttps://t.co/zx1NZ8ciKG
- ملف CLAUDE.md وإضافة الذاكرة: إزاي تخلي Claude يفتكر سياق مشروعك وما ينساش
https://t.co/tIqsKA1fPX
- المهارات (Skills): علم كلوود خطوات تكرارية ووظائف مخصصة يعيد استخدامها
https://t.co/vmFzPWM2E4
- بروتوكول الـ MCP: اربط Claude بأدواتك اليومية زي Slack و GitHub و Google
https://t.co/5jIEYkFSo2
- الروتين (Routines): أتمتة كاملة للمهام والوظائف عشان تشتغل 24 ساعة في اليوم بدون تدخل منك
https://t.co/zp3r05voly
- الدليل الشامل لـ Claude Code: دليل جبار ومفتوح المصدر من مجتمع المطورين
https://t.co/TaUVI9gmWG
- مكتبة Awesome Claude Code: تجميعة لأفضل السكربتات، الـ Skills، والإضافات
https://t.co/O3iYIjahgF
- أكاديمية أنثروبيك: كل الكورسات الـ 13 الرسمية من الشركة مع شهادات مجانية
https://t.co/6f9KODMPr0
- الوثائق الرسمية بالكامل: المرجع الشامل والنهائي لكل صغيرة وكبيرة في Claude https://t.co/IYGo0G3keP
كل المصادر دي مجاني تماماً ومش هتكلفك دولار واحد.
لايك وفولو واحفظ البوست عشان يوصلك كل جديد!
@PowerHasheur#bitcoin est mort mais les bitcoiners ne l’ont pas encore compris. $btc ne vaut plus rien. C’est une gabegie énergétique et un non-sens de continuer à faire tourner ce réseau qui n’est qu’une pyramide de ponzi.
Anthropic pays $500,000+ a year for engineers who know how to prompt Claude properly - two of them just gave a 25-minute masterclass for free.
Hannah Moran and Christian from the Applied AI team showed exactly how they build prompts internally at Anthropic
> task context + tone + background = a > prompt that works in production
> the order you give Claude
> information changes everything I've seen $300 courses that don't cover what they show in the first 10 minutes
25 minutes, free, straight from the people who built Claude
> ¿entiendes lo que Claude Opus 4.8 acaba de hacerle al mercado laboral de Google
> un ingeniero de Google con 11 años de experiencia
> apiló 32 habilidades de Claude encima de su flujo de trabajo
> 8hrs → 2-3hrs por día
> $95K desarrollador vs $300K arquitecto de IA
> mismo trabajo. stack diferente. salario muy diferente
> la lista exacta de habilidades está aquí 👇
Anthropic engineer:
"You can go from zero to a production-ready agent in one session. Memory, vaults, multi-agent coordination none of that requires extra setup"
In 27 minutes Michael Cohen deploys a production-ready Claude agent from scratch and debugs it live in the developer console
Most people never see what a production setup actually looks like
Watch the session, then save the full setup guide below
Anthropic engineer:
"You're not supposed to watch Claude Code work. You're supposed to wake up and review what it shipped."
In 22 minutes she builds the entire workflow live on camera.
Most people close their terminal and everything stops.
This setup keeps shipping while you sleep.
Watch the video, then save the exact setup below👇
Anthropic engineer:
"You're not supposed to prompt Claude. You're supposed to build a system that prompts itself."
this is one of the best workflows I've seen in a long time
in this video she breaks down exactly how most people are using Claude:
- the 14% you lose to CLAUDE.md before typing a word
- the plugins that 95% of users have never installed
- the workflows that run without you typing a single prompt
- why typing one prompt and closing the tab is leaving 90% on the table
if you've been using Claude for months and still start every session from scratch, you have at least 28 untouched features. probably 30
instead of another show tonight, watch this
make sure to bookmark it before it gets lost in your feed
full guide in the article below
Eric Schmidt (ex-Google CEO): “if you really want to make money, it’s actually easy. found an agentic AI company.”
If I had only 30 days to do that , I'd begin here and save this:
Agent Architecture
https://t.co/Xyy3e9AjAQ
Claude Code 101:
https://t.co/tZbHeRDWkj
Claude Code in Action:
https://t.co/RDYEVbydhW
Prompt engineering (official):
https://t.co/aYQzAWmObh
Interactive prompt tutorial (hands-on):
https://t.co/5k9My0hYgY
CLAUDE.md & how to give Claude memory:
https://t.co/gtmOGKAvDe
Skills, teach Claude reusable workflows:
https://t.co/DJFqh3E6OB
MCP, time connect Claude to Slack, GitHub, Drive:
https://t.co/XbRdmmcYmP
Routines (automate tasks 24/7):
https://t.co/LGbhOeWWdJ
Claude Code Ultimate Guide (community):
https://t.co/56DAmEuqH8
Awesome Claude Code (skills, hooks, plugins):
https://t.co/jUIBuxvV5K
All 13 Anthropic Academy courses (free certs):
https://t.co/rHn0gDmtGH
Claude Code full docs:
https://t.co/KYHnapDdHG
All of this is for free at $0/month
Then read this guide by this builder
JENSEN HUANG ACABA DE ROMPER EL MODELO DE NEGOCIO DE OPENAI EN EL ESCENARIO.
Presentó una computadora de IA de $249 que elimina tu factura de $200/mes.
El video ya tiene 217,000 likes.
Se llama Jetson Orin Nano Super.
• 70 TOPS de rendimiento IA • 25W de consumo • más pequeña que una billetera
Y ejecuta Llama 3, Mistral, Gemma y DeepSeek
🔥 LOCALMENTE 🔥
Sin APIs. Sin límites. Sin enviar tus datos a la nube.
Hoy, un desarrollador promedio paga ~$200/mes a OpenAI para automatizaciones, agentes y asistentes de código.
La misma carga de trabajo en esta caja:
→ ~$2/mes en electricidad → hardware amortizado en ~10 semanas
La configuración da miedo de lo simple:
Instalas Ollama
Cambias UNA línea de código
Apuntas a localhost en vez de OpenAI
Listo. Todo sigue funcionando igual.
Y aquí está la parte importante:
Los modelos de 7B ya cubren el 80% de lo que la gente usa ChatGPT para:
• resumir • redactar • programar • Q&A sobre documentos • automatizaciones
Solo el 20% más pesado necesita Claude o GPT-4.
Resultado:
Tu costo mensual cae de $200 → ~$22.
Mientras tanto:
• las APIs suben de precio • los rate limits empeoranm • y cada vez más gente depende de infraestructura ajena
Los que monten IA local en 2026van a parecer adelantados a su tiempo en 2027.
📁 Guarda este hilo.
El cambio ya empezó. 👇