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Urooj Fatima's avatar
Urooj Fatima
Karachi, Pakistan
I build AI Agents & automations for your business
New to Contra
I build AI Agents & automations for your business
Cover image for Built an AI-Native Online Textbook
Built an AI-Native Online Textbook — "Physical AI & Humanoid Robots" I built a fully technical textbook from scratch using Spec-Driven Development with Claude Code. ✅ Written & deployed using Docusaurus + GitHub Pages ✅ Covers ROS 2, Gazebo, NVIDIA Isaac & Voice-Language-Action (VLA) ✅ Embedded RAG Chatbot — ask questions directly from the book content ✅ Built with OpenAI Agents SDK + FastAPI + Neon DB + Qdrant Cloud The rule? No manual writing. Write the spec → Claude Code generates the content. Refine until it's right. The future of AI isn't just digital — it's physical. Robots that see, hear, plan, and act. 🤖 #PhysicalAI #HumanoidRobotics #ClaudeCode #SpecDrivenDevelopment #RAG #OpenAI #Docusaurus #AI #Hackathon
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Cover image for Built a Multi-Agent Newsletter Automation
Built a Multi-Agent Newsletter Automation in n8n! Fully automated pipeline: Research → Writing → Gmail Draft — zero manual effort. Topic: "AI Adoption for Small Businesses" How it works: ✅ Weekly trigger auto-starts the workflow ✅ Tavily API finds 3 trending news pieces ✅ Agent 1 (Planner) creates edition title + 3 sub-topics ✅ Tavily digs 5 deep sources per topic ✅ Agent 2 (Writer) writes 350–500 word sections in Markdown ✅ Agent 3 (Editor) converts to responsive HTML + adds intro & sources ✅ Gmail Draft created — ready for human review & send Stack: n8n + Gemini + Tavily API + Gmail #n8n #AIAutomation #MultiAgent #NoCode #Gemini #Newsletter #WorkflowAutomation #AI
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Cover image for Built "The Evolution of Todo"
Built "The Evolution of Todo" from a simple script to a full AI-powered, cloud-native system using Spec-Driven Development with Claude Code. ✅ Phase I – Started with a Python In-Memory Console App ✅ Phase II – Built a Full-Stack Web App (Next.js + FastAPI + Neon DB + Better Auth) ✅ Phase III – Added an AI Chatbot (OpenAI Agents SDK + MCP Server) it can add, delete, update & edit tasks through simple prompts and understands natural language ✅ Phase IV – Deployed locally on Kubernetes (Minikube + Helm Charts) The rule? No manual code. Write the spec → Claude Code generates the implementation → Refine until it's right. #ClaudeCode #SpecDrivenDevelopment #Kubernetes #AI #Hackathon #OpenAI #CloudNative
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Cover image for I built 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 using
I built 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 using 𝗻𝟴𝗻. I used the Tavily API for web search (you can also try the Wikipedia API or any other source you like). The agent automatically finds: Company name Problem faced AI agent solution Results achieved Gives Source link as well My query: “𝘚𝘦𝘢𝘳𝘤𝘩 𝘳𝘦𝘢𝘭 𝘗𝘢𝘬𝘪𝘴𝘵𝘢𝘯𝘪 𝘤𝘰𝘮𝘱𝘢𝘯𝘪𝘦𝘴 𝘵𝘩𝘢𝘵 𝘧𝘢𝘤𝘦𝘥 𝘣𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘱𝘳𝘰𝘣𝘭𝘦𝘮𝘴 𝘢𝘯𝘥 𝘶𝘴𝘦𝘥 𝘈𝘐 𝘵𝘰 𝘴𝘰𝘭𝘷𝘦 𝘵𝘩𝘦𝘮.” The agent found 𝗟𝘂𝗹𝘂𝘀𝗮𝗿,a Pakistani clothing brand that used an AI-powered analytics solution called 𝗗𝗮𝘁𝗮 𝗽𝗶𝗹𝗼𝘁(a step toward agentic automation) to transform its marketing and business performance. After that, I automated the process to draft all the data into an email — but you can easily send it to Docs, PDF, or any other platform.
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