k

Matius 5:14 | 122 | @kennjoys

[k @kennjoyy]

dan pada akhirnya ku kembali ke tujuan awal. 🧡

[Muhammad Sumbul @bitxt]

lu udah pake claude, codex, gravity, deepseek tapi ujung2nya bikin produk yang ga laku

[Naeris🌊 @perseflame]

jujur gue uda mulai kecanduan belajar excel grgr ini org kaya KOKKK BISAAA EZ BGT

[Ronin @DeRonin_]

How to get a job as an AI Automation Engineer:

AI automation is one of those fields where it's actually easier to get a job through non-traditional paths

companies need people who can wire AI into their existing tools, automate workflows, and save them 40+ hours a week

they don't care where you learned it

so, here's my workflow for getting a job as an AI Automation Engineer:

1: Build your personal brand on X

this should be your main platform

follow AI startup founders, reply to them, post your workflows, show your thinking and value

gonna to present next weeks how I'm doing it here

2: Build presence on LinkedIn or GitHub

these are more traditional platforms

but if you build your own automation system and it gets traction on GitHub, that's already way stronger than "work experience at a company"

basically potential client checks out firstly your Github to get verification that you're good at your deal

release open-source automation workflows to get the reputation

3: Share knowledge in communities

n8n community, LangChain Discord, OpenAI forums, Claude community

this is where real people hang out and opportunities appear

cheat codes to stand out and get into the top 1%:

1: Build in public
- show what you're building and how
- CVs are outdated, people hire those who can build fast, ship real automations, and solve actual business problems

2. Learn to build with AI agents, not just drag-and-drop
- one person with Claude Code can ship what used to take a 3-person dev team
- the no-code ceiling hits fast.. agents don't have one

3. Do free audits before calls
- before jumping on a call with a potential client, map out their broken workflows
- show what you'd fix and how (this can also be turned into content on X)

4. Specialize narrowly
- don't just be "AI automation engineer"
- pick a niche: real estate, e-commerce, recruiting, legal
- this makes you 10x easier to position and hire

5. Show measurable results
- metrics matter (money especially)
- "saved 40 hours/week" and "$12K/mo in reduced headcount" is what gets you hired
- not "built a cool n8n workflow"

main insight:

this is a new profession, traditional "work experience" doesn't matter as much

what matters is real skill, real projects, and proof you can ship

forget chasing FAANG interviews

right now you have a much better opportunity:

- build in public
- grow your brand
- become visible
- start earning within months, not years

one more thing: everything in this field moves insanely fast

what's relevant today may be outdated in a year

so "experience" doesn't matter

your real skill is adaptability + learning fast + constant practice

I wrote a 10,000+ word roadmap breaking down exactly what to learn each month for 6 months

every resource, every tool, every practice project

read it below ⬇️

[Vivo @vivoplt]

best 15 accounts to follow in AI:

@karpathy = LLMs king
@steipete = built openclaw
@gregisenberg = startup ideas king
@rileybrown = vibecode king
@jackfriks = solo apps king
@levelsio = startups king
@marclou = startups king
@EXM7777 = AI ops + systems king
@eptwts = AI money twitter king
@godofprompt = prompt king
@vasuman = AI agents king
@AmirMushich= AI ads king
@0xROAS = AI UGCs king
@egeberkina = AI images king
@MengTo= AI landing pages king

follow them all and learn.

[How To Prompt @HowToPrompt__]

Claude is offering 18 official AI courses with certificates.

And it's 100% free:

1 - Claude 101. Learn Claude for everyday work.
https://t.co/e6zE5ZGigi

2 - Master Claude Cowork. Build powerful agentic workflows right on your desktop.
https://t.co/6YwizS6V5S

3 - Claude Code 101. Master vibe coding with Claude Code.
https://t.co/XsLNY1HMZH

4 - AI Fluency: Core concepts for AI literacy
https://t.co/tl3KSkWMX4

5 - Introduction to Agent Skills.
https://t.co/E3rUCHLhOi

6 - Building with the Claude API.
https://t.co/wOyPE7l61v

7 - Claude Code in Action. Integrate Claude Code into your dev workflow. Hands-on, practical, ship-focused.
https://t.co/KHNiH777M6

8 - Intro to Model Context Protocol. Connect Claude to your local data. The ultimate game changer for context.
https://t.co/FMXmiaN8H8

9 - MCP: Advanced Topics. Build custom integrations and MCP servers. For heavy-duty scaling.
https://t.co/Bi9JJWaagU

10 - AI Fluency for Students. Use AI to study and research smarter. The ultimate cheat code for academics.
https://t.co/ujjMlEqLSj

11 - AI Fluency for Educators.
https://t.co/HHaUIeOfJm

12 - Teaching AI Fluency.
https://t.co/PhQ59xSXRl

13 - AI Fluency for Nonprofits. Maximize your mission's impact. Do way more with way less.
https://t.co/2jHfnOXXN9

14 - Claude with Amazon Bedrock. Deploy Claude on AWS infrastructure. Enterprise-grade scaling made easy.
https://t.co/3KY1K0QBvV

15 - Claude with Google Cloud's Vertex AI. Deploy Claude on Google Cloud infrastructure. Seamless cloud integration for scaling apps.
https://t.co/wKd2aCVfvE

16 - AI Fluency for Small Businesses
https://t.co/B3dSCJLaJI

17 - AI Capabilities and Limitations
https://t.co/imkKxIGSUB

18 - Introduction to subagents
https://t.co/yfV1TfZG3I

[Satya Fariz @satya_fariz]

Udah gak belajar coding lagi gue.

Seminggu ke depan bakal menyantap materi ini semua. Moga aja gak gumoh.

[Suraj Sharma @suraj_sharma14]

If I had 6 months to become an AI/ML Engineer.

I'd do this.

Stage 1 : Python + Data Engineering
pandas, numpy, SQL, Parquet/Arrow, API ingestion, data validation, pipeline orchestration.

Stage 2 : ML Fundamentals + Statistics
Linear algebra, probability, bias/variance, supervised/unsupervised learning, evaluation metrics.

Stage 3 : Deep Learning + Frameworks
PyTorch, training loops, backprop, CNNs/Transformers, optimizers, learning rate schedulers.

Stage 4 : Feature Stores + Pipelines
Feature engineering, preprocessing, data versioning, DVC, Airflow/Prefect, dbt integration.

Stage 5 : Experiment Tracking + Tuning
MLflow/Weights & Biases, hyperparameter optimization, cross-validation, reproducibility, model registry.

Stage 6 : Model Deployment + Serving
FastAPI, Docker, model registries, batch vs real-time inference, REST/gRPC endpoints, scaling.

Stage 7 : LLM Integration + GenAI
RAG pipelines, fine-tuning (LoRA/QLoRA), prompt engineering, embedding models, vector databases.

Stage 8 : MLOps + CI/CD
GitHub Actions, automated testing, model validation gates, continuous training, deployment strategies.

Stage 9 : Monitoring + Drift Detection
Data/concept drift, performance metrics, structured logging, alerting, automated retraining triggers.

Stage 10 : Infrastructure + Cloud Scale
AWS/GCP ML stacks, distributed training, GPU orchestration, Kubernetes, autoscaling, cost tracking.

Stage 11 : Open Source + Portfolio
Ship end-to-end ML systems publicly, write architecture docs, record demos, publish benchmarks.

Stage 12 : Apply
AI/ML Engineer, MLOps Engineer, AI Infrastructure Engineer, Data Science Engineering roles.

Most people stay stuck watching tutorials.

Builders get hired.

[Python Programming @PythonPr]

What is an Agentic AI ?

[Magistra Apta @aptabeenhere]

Hobi baru.

Bacain insight dari McKinsey.

[McKinsey & Company @McKinsey]

The next phase of AI transformation is happening at the workflow level.

Companies are using agentic AI to coordinate tasks, decisions, and customer interactions across entire journeys—while rethinking the operating models needed to support it at scale. https://t.co/UgFVX6YEIq

[Mayank Agarwal 💡 @TheAIWorld22]

Anthropic just showed a 24-minute workshop on how to actually prompt Claude.

Taught by the people who built it.

Free. No signup. No paywall.

I've watched $300 courses that don't cover what they teach in the first 8 minutes.

[Jack @Tech_Rose1]

Stop telling Claude, "do this."
Stop telling Claude, "write code."
Stop telling Claude, "fix this error."

You're actually treating a senior AI like a junior intern.
Here are 8 prompts you can copy and paste directly:

[PainWalker @Pa1nWalker]

@ism_sol 1. Put MD notes that never cross the repo
2. Do not put your .env at your repo basically you .gitignore them
3. Always ask first before action
4. Know your project, usage limit of claude will be efficient

[Hanif | AI For Productivity @hanifproduktif]

Stop ganti iPhone kalo batre-nya udah ngedrop.

Gue kira iPhone gue udah waktunya ganti karena batrenya ngedrop. Ternyata bukan.

Apple emang sengaja set default yang bikin baterai boros.

Setelah gue utak-atik sendiri, baterai gue dari 6 jam jadi tahan 10 jam. Tanpa ganti baterai baru.

Gini caranya:

[Suryansh Tiwari @Suryanshti777]

CLAUDE + YouTube = $$$$
CLAUDE + YouTube = $$$$
CLAUDE + YouTube = $$$$

No degree. No camera. No editing skills.

Even a 15-year-old can do this.

I'm going to show you exactly how.

12 prompts that print money on YouTube 👇

[Hanif | AI For Productivity @hanifproduktif]

iPhone lo dicopet sekarang. Maling matiin HP lo. Find My nunjukin "Offline."

Data lo, foto lo, mobile banking lo, semuanya di tangan dia.

Tapi kalau lo udah setup 3 hal ini sebelumnya, maling itu cuma pegang lempengan logam seharga 15 juta yang ga bisa diapa2in.

[Vespamatic Crypto @vespamatic96]

STOP BUANG 2 JAM NONTON FILM 1 JAM DENGERIN Warren Buffett BISA UBAH MASA DEPAN LO

[CC @Cryptocium_id]

[1]

Dipahami pelan-pelan ✍️

[CC @Cryptocium_id]

Salah satu indikator $BTC terbaik dengan success rate lebih dari 90%

Yes, Coinbase Bitcoin Premium Index. Indikator ini "Hampir" sempurna untuk forecasting harga $BTC

Gua jelasin ya 👇

[Mac Karyo @Makaryo0]

Sangkuter emas tahun 2011 perlu 9 tahun buat balik modal, setelah terkoreksi dulu 45%.

Sangkuter emas tahun 1980 perlu 28 tahun buat balik modal, setelah terkoreksi dulu 70%.

Semoga $5.608/oz atau Rp3.168.000/gram kemarin bukan titik ATHnya 😬