Cesar Schneider

Technology Entrepreneur. AWS Certified Solutions Architect. Data Engineer. MLOps. AI Agents Architect. #n8n #ai #agents #aws

[Cesar Schneider @cesschneider]

@mertmetindev Quality food for my AI trading agents 🚀🤖⚡️💰👏🏻

[Cesar Schneider @cesschneider]

@tec_marco10 AutoPilot

[Holland Tech Marco @tec_marco10]

My Uber driver asked what I do for work.

"Software."

"Cool. Can you look at something?"

He handed me his phone at a red light. Terminal. Claude chat. Green P&L.

+$6,200.

He drives Uber 4 days a week. Makes $1,100. Has a 2-year-old daughter.

"Where did you find this?"

"Your article. The 14,000 wallets one."

He read it three months ago. Didn't understand half of it. Asked Claude to explain it like he's five.

214 messages. All during breaks between rides. Parked at gas stations. Waiting for pings.

First thing Claude told him: 87% of wallets lose money. Don't be the 87%.

He installed poly_data. Fed it to Claude. Found 47 wallets with Sharpe above 2.0. Filtered crypto only. Quarter Kelly. $200 starting bankroll. From his tips.

93 messages later Claude helped him build the 20-line brain from the article. Bayesian updates. EV filter at 5%. Fully automated.

Last 45 days:

→ 480 trades
→ 91.3% win rate
→ +$6,200

Best trade: whale convergence on Fed rate cut. 4 wallets entered in 2 minutes. Entry $0.12. Resolved $1.00. +$1,760. While dropping off a passenger at JFK.

The passenger tipped him $5. The bot made $1,760.

His wife found the Telegram alerts on his phone. Thought he was texting another woman.

He showed her the P&L curve.

"Can you make me one?"

"How long until you quit driving?"

He looked at me through the rearview mirror.

"I'm not stopping. Uber is my cover story."

I wrote the article. He actually opened terminal.

You only need Claude + laptop + 1 hour/day.

Giving This Free for 24 hours. To get it:

1. Comment the word 'AutoPilot'
2. Like and Retweet this post
3. Follow me @tec_marco10

[Rahul @sairahul1]

Mark Cuban on the next job wave:

"Software is dead because everything's gonna be customized to your unique utilization. Who's gonna do it for them..."

The answer is people who know how to fine-tune small LLMs on private data.

Not prompting. Not API wrappers.

Actual custom models trained on your business.

And almost nobody knows how to do it yet.

This is the complete guide ↓

Bookmark this. This is the one.

[beamnxw ./ @beamnxw]

this is pure f*cking treasure

20 AI Agent skills with 776K combined stars that can form a real agent stack

the point is giving the agent the missing layer for the work in front of it: research, engineering judgment, creation, or distribution

RESEARCH → let the agent see, search, and verify

01 agent-reach
▸ https://t.co/S8AvkGqFv7
02 last30days
▸ https://t.co/40WYOUMJWD
03 deep-research
▸ https://t.co/8Qf0EpqSo1
04 user-research
▸ https://t.co/LTQfN5Y50S
05 qmd-search
▸ https://t.co/dOgOrL6WNG

ENGINEERING → understand the system before changing it

06 graphify
▸ https://t.co/WO5hbo21pl
07 ponytail
▸ https://t.co/8f073vBgKu
08 napkin
▸ https://t.co/Zn1uoXHVF4
09 tech-debt-audit
▸ https://t.co/Q0cXsqydsB
10 understand-anything
▸ https://t.co/nOZLlpzeWk

CREATE → turn the work into interfaces, explanations, and worlds

11 ui-ux-pro-max
▸ https://t.co/AdMZOXiABl
12 frontend-slides
▸ https://t.co/yqA8m3fqAe
13 scroll-world
▸ https://t.co/x86WwbubKt
14 visual-explainer
▸ https://t.co/aW9y6nmEB3
15 fireworks-tech-graph
▸ https://t.co/vTsqeR6wyi

GROW + SHIP → make the result clearer, discoverable, and ready to deliver

16 claude-seo
▸ https://t.co/hdofU8kqCa
17 humanizer
▸ https://t.co/DjUenCyDTV
18 auto-research-in-sleep
▸ https://t.co/f2XDXWMG8y
19 video-shotcraft
▸ https://t.co/Nfx4ft4BLk
20 ffmpeg-skill
▸ https://t.co/yamu4IYeSQ

the stack covers one real loop:

see the problem → map the system → make the thing → inspect what happened → ship the next version

one good skill can remove an entire category of repetitive work

save this, then build your solo business with an AI employee ⭣

[Cesar Schneider @cesschneider]

@choyamymuna Fable

[Dhruv kumar @Dhruvkumar16797]

My friend makes $1.2 million a year as an Anthropic engineer.

I asked him how he learned prompting so well. He sent me a video that was never supposed to get out. Their core team's prompting playbook.

You won’t find anything better about prompting than this 30 minutes video.

I watched it last night. Halfway through, I realized I've been using Claude completely wrong for two years.

Watch it, then read the article below.

[Discover Crypto | AI Investing @DiscoverCrypto]

BITCOIN BOTTOM ON PERFECT SCHEDULE

Are we living in a simulation!?

[Cesar Schneider @cesschneider]

@DiscoverCrypto We are living the crypto-Matrix 😎⚡️

[Official Himanshu @_HimanshuBuilds]

INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 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.

[Andrew Ng @AndrewYNg]

The most important skills in Building and Deploying AI Applications. https://t.co/IyWIKLIzeM

[Hedgie @HedgieMarkets]

🦔Thomson Reuters just built its own AI model for about $40 million over two years. The final training run cost $450,000. They started with Qwen, an open-source model from China's Alibaba, and trained it on their own legal and news content from Westlaw, Practical Law, and Reuters. The company said the move is about reducing its dependence on Anthropic. Their CTO compared paying for outside AI to being a permanent tenant versus owning the building. Enterprise customers broadly have been cutting spending on OpenAI and Anthropic and switching to cheaper alternatives.

My Take
I covered the DeepSeek pricing collapse a few months ago and said the frontier labs would have a hard time defending premium API pricing once open-source got good enough. Thomson Reuters just did exactly what I expected someone to do. They grabbed a free model, trained it on their own stuff, and now they're pulling back from Anthropic. $40 million, done. Anthropic charges that in API fees from a handful of big customers in a year.

The $190 to $200 billion revenue projection Anthropic is selling to IPO investors assumes companies like Thomson Reuters keep paying. They just stopped. And Thomson Reuters put their model on Hugging Face for academics to use, which means the playbook is now public. I think the frontier API business has maybe two or three years before most large companies with good data figure out they can do this themselves, and the ones who move first are going to pressure the ones still paying full price to ask why.

Hedgie🤗

[Cesar Schneider @cesschneider]

That's a huge step towards the AI adoption by companies that are looking to improve their colaborator's efficiency and also increase profit.

[Y Combinator @ycombinator]

We’ve decided to open-source a multi-agent harness we use internally at YC.

We call it “QM” and it’s meant to be easy to customize, like Hermes or OpenClaw, but useful for a whole company. We use it across accounting, legal, events, and engineering (including building QM itself!).

The whole project is under an MIT license. It is cloud-first and has Slack and web UI natively.

[Injective 🥷 @injective]

The newly unveiled Injective Council convened for its inaugural meeting last week, bringing together industry leaders to shape Injective’s Q4 strategic roadmap:

-> Native EVM
-> Digital Asset Treasury
-> INJ ETFs
-> Accelerator Programs
-> Pre-IPO Markets

To read the full meeting minutes, please see below

[Cesar Schneider @cesschneider]

@injective @BitGo @googlecloud @joinrepublic @nttdigital_io @deutschetelekom @galaxyhq @yzilabs Great news for the community 🚀👏🏻👍🏻

[Cesar Schneider @cesschneider]

🚀 Hey everyone! Big news from the world of enterprise tech—Accenture is making waves by training all 700,000 of its employees in agentic AI.

🧑‍🏫 That’s right, one of the world’s largest consulting firms is mandating agentic AI upskilling as core to its strategy, showing just how mission-critical this technology is becoming for business leaders everywhere.

👀 If you want to see how agentic AI can actually be rolled out in your business—without the hype or vendor speak—I’m offering a free, actionable guide detailing a proven, step-by-step approach to getting started. From business readiness and data layers, to orchestrating your own intelligent agents, it’s all in there.

✍️ Comment “AGENTIC AI” below to get the guide—can’t wait to see what you do next!

#AgenticAI #AIAgents #IntelligentAutomation #FutureOfWork #AIStrategy #Upskilling #Accenture #DigitalTransformation #WorkflowAutomation #BusinessInnovation #TechLeadership

[Cesar Schneider @cesschneider]

@alexfinn Forgot the mention Manus that can make 3-in-1.

https://t.co/IBztTHiqYJ

[Cesar Schneider @cesschneider]

Go Beyond Chat. Execute with Manus.

Tired of just talking to AI? While ChatGPT is great for generating text, Manus is an autonomous agent built to get things done — from start to finish.

Build and publish websites, analyze data, create reports, and automate workflows — all without lifting a finger.

Stop describing the work. Start executing it.
Experience the power of an AI agent that actually delivers.

🔗 https://t.co/4L7ppETVmQ

#Manus #AI #Automation #AIAgent #Productivity #Innovation #TechLeadership #FutureOfWork

[Cesar Schneider @cesschneider]

🚀 What if AI could design your cloud architecture + code… instantly?

I’ve been experimenting with Agentic AI on AWS Bedrock, and built an app that does something pretty wild:

👉 You describe your application requirements in plain English.
👉 The AI instantly generates:
✅ A CloudFormation template with all AWS resources provisioned.
✅ Python source code scaffolding for an agentic AI service.

No more stitching infrastructure by hand. No more copy-paste boilerplate.
Just input → deploy-ready architecture + code. ⚡

Want to give it a spin? I’ll share the link directly.

💬 Comment PARTY below, and I’ll send you the invite to the AWS Agentic AI Engineer app on PartyRock.

Let’s see how far we can push AI-driven cloud engineering together. 🚀

#AWS #Bedrock #CloudComputing #AgenticAI #InfrastructureAsCode

https://t.co/OBOra5mol2