Hey everyone 👋 I’ve been building in public and wanted to share something I recently built using Cursor AI with a Vibe Coding workflow. I created a Chrome extension called Prompt Navigator that focuses on solving a common issue I faced while using ChatGPT — managing and reusing AI prompts. In most AI tools today, prompt management is still manual. Prompts get buried in long conversations, and we often end up scrolling or rewriting them again. Prompt Navigator helps by: - Organizing AI prompts in one centralized place - Allowing users to mark frequently used prompts as favorites - Searching prompts instantly - Copying or inserting prompts with one click - Providing a clean, modern UI for daily AI workflows 🧠 What stood out for me during this build was how much Cursor AI accelerated development. Using a Vibe Coding approach helped me move faster from idea to a working Chrome extension, especially for UI logic and iteration. 🎥 I’ve created a short demo video showing how Prompt Navigator works in real scenarios: 👉 Watch the demo here: https://youtu.be/hZiL2wYTTsI?si=9-t2zi_RfiStoReL I’d love to hear feedback from this community — whether on the idea, the UX, or the build process using Cursor AI. Happy to answer questions or share learnings from the build 🙌

Data quality problems usually show up after decisions are made—missing values, invalid records, and numbers nobody trusts. So I built a Data Quality AI Agent that changes how teams interact with data. ✅ Automatically cleans and validates raw data ✅ Separates clean and failed records (nothing is hidden) ✅ Tracks data quality metrics in real time ✅ Lets users ask questions in plain English via Telegram ✅ Clearly explains whether an answer comes from clean or failed data Example: 💬 “What is the salary of Neha?” 🤖 “Neha’s salary is 80,000. This record was found in clean data.” 💬 “What is the salary of Jonathan?” 🤖 “Salary is 0. This record was found in failed records due to invalid salary.” No dashboards. No SQL. No guessing. Built using: - 🧩 n8n for workflow orchestration - 🤖 AI Agent (LLM) for natural language understanding - 📊 Google Sheets as a transparent data layer - 💬 Telegram as the chat interface The goal wasn’t just automation — it was trust. If you’re exploring: ✔ AI Agents ✔ Data Quality Automation ✔ n8n workflows ✔ Conversational analytics Would love to hear your thoughts 👇 #DataQuality #AIAgents #n8n #Analytics #Automation #DataEngineering #AIinBusiness