Abdullah Nasir

Claude + Canva = professional thumbnail. 10 seconds. $0. One prompt. Comment CANVA sending the prompt for free. 👇

Gemini Advance is not just a chatbot. Connected to Gmail. Docs. Sheets. Drive. Deep Research. Live voice. Full automation. Day 11/90 learning at @aaghaz_ai Comment GEMINI, Free guide incoming.👇

@matt_gray_ Results are rented. And rent is due every single day.

My Father once told me: Your effort is the only thing you truly command. Invest in the process. Not the outcome.

@AlexHormozi The scary part isn’t AI judging humans. It’s humans blindly trusting the output.

It’ll be interesting when AI replaces judges and juries. Then eventually, attorneys (since they’re all using it to make both sides of the arguments anyways). Which means we’ll eventually just submit facts and get an outcome.

@Anaya_sharma876 Start with Python. Then move to C++ or JavaScript depending on your goal.

If someone is starting from zero, which language should they choose first?

@matt_gray_ Most people live on autopilot Thats the scary part

My mentor asked me a question that broke my brain: "What would your life look like if everything was intentional?" Most people live by accident. They react to whatever shows up. Design your life like you design your business.

@PythonPr Python said: concatenate first, calculate later 👀

Can you complete this Pyhon Quiz? Comment your answers below! 👇

People are arguing about which AI is smarter. Meanwhile the real winners are the companies selling compute, chips, and cloud infrastructure. 👀 #AI #TechTwitter

Claude + Adobe = Instagram post in 10 seconds. No design skills. No Canva. No cost. Watch 👇

Still experimenting and learning AI workflows daily.

Day 8/90 learning AI. Today I realized Claude is more than just a chatbot. Deep research. Automation. Built-in skills. Workflow support. Still learning publicly step by step 🚀

@PythonDvz But real value is in system design

@PythonDvz This is gold Most people are stuck at prompt

Most Agentic AI systems break in production. Not because of models, but because of missing system design. Everyone is building agents. Few are building complete systems. 𝐈𝐧 𝐭𝐡𝐢𝐬 𝐢𝐧𝐟𝐨𝐠𝐫𝐚𝐩𝐡𝐢𝐜 𝐈 𝐛𝐫𝐞𝐚𝐤 𝐝𝐨𝐰𝐧 9 𝐜𝐨𝐫𝐞 𝐜𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: • Goal Definition • Planning Module • Memory System • Tool Integration • Reasoning Engine • Orchestration Layer • Safety Layer • Observability • Feedback Loop 𝐄𝐚𝐜𝐡 𝐜𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭 𝐬𝐨𝐥𝐯𝐞𝐬 𝐚 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐟𝐚𝐢𝐥𝐮𝐫𝐞 𝐦𝐨𝐝𝐞. → Without clear goals, agents drift. → Without planning, they stall. → Without memory, they repeat mistakes. → Without tools, they stay limited. → Without reasoning, they hallucinate. → Without orchestration, they break at scale. → Without safety, they create risk. → Without observability, you stay blind. → Without feedback, they never improve. Agentic AI is not a prompt problem. It is a systems engineering problem. The teams that understand this will ship reliable AI. The rest will keep debugging demos. P.S. Which of these components is missing in your current AI system? #RAG #AIEngineering #LLMSystems

Most people think AI just gives answers. That era is ending. Now AI can: → Research → Think → Act This is called Agentic AI. I explored how it works today 👇 Day 7/90

Day 5 of learning AI: Built my first Custom GPT (via Aaghaz). It writes viral short-form scripts in seconds. Couldn’t publish it to GPT Store yet (builder profile issue), so sharing it here 👇 [chatgpt.com/g/g-69ef7c1f17…]

@itsaaroshi Claude

be honest, which one is best for coding?

I’m learning #AI. Day 4 built this #website. Not perfect. But getting better every day. Feedback?

@ravikiran_dev7 24gb

As a Developer, how much RAM is enough for you? 1. 8 GB 2. 16 GB 3. 24 GB 4. 32 GB 5. 64 GB 6. 128 GB 7. 256 GB 8. 512GB+

Day 3 of my AI journey 🚀 I was tired of: • Wasting time • No direction • No growth So I decided to change. Now I’m: • Learning AI • Building skills • Sharing everything This is just the beginning. Follow along 👇

@CodeWithAmann claude

Be honest, which AI tool do you use the most right now?