
Seasoned programmer since 2005. Currently Generative AI Developer. #Generativeai #DevOps #AWS #Python #AgenticAI #Chatbots #Docker #Serverless
faisalabad
Joined January 2012
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AI agents become powerful when they move beyond conversation.
Examples:
• Querying databases
• Booking appointments
• Updating records
• Triggering workflows
Action is where value starts.
#LLM #SystemDesign #AIEngineering #Automation #AI #AgenticAI #Chatbot #GenerativeAI
Hosting GenAI apps on Ubuntu/CentOS servers — quick guide agentsarcade.com/blog/hostin…
#AgenticAI #chatbot
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Mr. Majid retweeted
If you only follow one AI tools list in 2026, make it this one.
UPDATED AI TOOLS LIST FOR 2026
Ideas
• ChatGPT
• Claude
• Bing
Website
• 10Web
• Durable
• Framer
Writing
• Rytr
• Jasper
• Writesonic
Chatbots
• Chatbase
• SiteGPT
• ChatSonic
Automation
• Make
• Zapier
• Bardeen
Image
• Midjourney
• DALL·E
• Stable Diffusion
Video
• HeyGen
• Synthesia
• Runway
Design
• Flair AI
• Booth AI
• Canva AI
Music
• Boomy
• Amper
• Jukedeck
Marketing
• AdCreative
• Simplified
• Pencil
Save this for later. This stack covers most of what you’ll need in 2026.
Agentic AI hit peak hype in 2025.
So far, most enterprise pilots did not deliver ROI.
Here’s the gap between hype and reality.
🎧 Full episode → bit.ly/4sUpQae
#AgenticAI #EnterpriseAI
Mr. Majid retweeted
AI Agents: A Practical Guide for Building, Deploying, and Scaling Agentic Systems
#AgenticAI #AI #LLMs #Chatbots
agentsarcade.com/blog/ai-age…
What Is an AI Agent? (Business vs Technical View)
#AIAgent #AgenticAI #RAG #LangGraph
agentsarcade.com/blog/what-i…
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Mr. Majid retweeted
How to approach data diversity in the age of #AgenticAI and #GenAI - bit.ly/3Z0ANtb | #technews #technology #futuretech
Mr. Majid retweeted
The 2026 #AgenticAI Playbook For CIOs: Building A Data Foundation
by Conal Gallagher @Forbes
Learn more: bit.ly/4qbL41F
#GenAI #LLM #ArtificialIntelligence #ML #MachineLearning #GenerativeAI
Mr. Majid retweeted
7 Pillars of #AgenticAI
by @Python_Dv
#LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
Replying to @mdancho84
Solid guide. It clearly explains when agents make sense, not just how to build them — especially the emphasis on tools, guardrails, and starting with single-agent systems before going multi-agent.
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Replying to @mdancho84
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Mr. Majid retweeted
Gemini 3 Flash can analyze high-fidelity images and use multimodal reasoning to determine next steps. See how the model understands complex visuals and generates layers of interactive elements.
Mr. Majid retweeted
How to build an AI Agent — scope → prompts → LLM → tools → memory → orchestration → UI → testing.
Plus a breakdown of the top agent platforms (ChatGPT, Claude, Cursor, n8n, LangGraph, CrewAI, Perplexity, etc.)
Great visual guide.
Credit in image.
#AI #AgenticAI #Automation #LLMs
Hosting GenAI apps on Ubuntu/CentOS servers — quick guide
#AgenticAI #GenerativeAI #CentOS #Ubuntu
agentsarcade.com/blog/hostin…
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Multi-agent systems: Benefits & pitfalls in real projects.
#GenerativeAI #LLM #AgenticAI #Chatbots
agentsarcade.com/blog/multi-…
How to evaluate LLM responses properly (RAG evaluation)
#GenerativeAI #LLM #chatbots #AgenticAI
agentsarcade.com/blog/evalua…
What Is the MERN Stack and Why Companies Use It
#GenerativeAI #mernstack #chatbots
agentsarcade.com/blog/mern-s…
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LangChain vs LlamaIndex vs Agents SDK — when to use what
#AgenticAI #LlamaIndex #LangChain #Openai
agentsarcade.com/blog/langch…
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Building LLM apps with FastAPI — best practices
#LLMs #FastAPI #RAG #GenerativeAI #Chatbots
agentsarcade.com/blog/buildi…
Using MCP (Model Context Protocol) to Let LLMs Call Real Tools
#GenerativeAI #AgenticAI #MCP
agentsarcade.com/blog/using-…
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