Was a bit unexpected, I had to tackle different errors. Started everything from the beginning many times. This benefitted me as well. From this I became confident doing many tasks without any help or watching any tutorial. Created RAG Pipeline: Using Pinecone And Chatgpt embeddings model and finally it worked fine.

I am documenting my AI Automation journey from now here, and today is my day 1.. Started with understanding n8n workflow Self-hosted n8n Understood all the basics Having tech background so was a bit easy for me to understand. Hopeful to start building something tomorrow Excited to learn & grow more.

Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊

It's not just answering questions — it's showing you. "Hey, show me the best coffee shops near the Eiffel Tower" And it just... does it. Pans the map. Zooms in. Highlights spots. Talks back to you about what it found. This isn't search. This is conversation. --- What is this thing? Voice AI Conversation with Google Maps — a voice-powered AI agent that actually controls Google Maps while you talk to it. Ask it anything: - "What's the fastest route avoiding highways?" - "Find me beachfront hotels under $200 in Portugal" - "Show me where all the national parks are in Utah" - "Zoom out and show me the whole country" It doesn't just answer. It shows you. In real-time. While talking back. --- Why this hits different We've all typed into Google Maps. But talking to a map that responds, moves, and explores WITH you? That's a completely different experience. It's like having a knowledgeable local guide who also happens to control a giant interactive map on your wall. The Open Source Repo: https://github.com/moshehbenavraham/chat_with_google_maps --- The nerdy part (for my fellow builders) 🔧 Started with Google's AI Studio demo — cool proof of concept, but basically a toy. Nearly FULLY AUTOMATICALLY built: - Full authentication system - Secure backend (no exposed API keys 🔐) - Database for saving your stuff - AI monitoring dashboard and logging - Local/Dev/Production deployment on Vercel - 18,500+ lines of code Built the entire thing using the Apex Spec System — an open-source spec-driven Plugin/Skill for Claude Code. Every feature was spec'd out first, then built systematically. Complex project, zero chaos. 🔗 github.com/moshehbenavraham/apex-spec-system --- The future is conversational We're moving from: Click → Type → Talk This is just the beginning 🚀 Voice + AI + Maps is one combination. What about Voice + AI + your industry? The patterns we built here — security, monitoring, auth, database — they're reusable building blocks.

I recently won a hackathon by building a social media content system, and I want to share a valuable insight about building systems like this. I've been teaching AI automations for a while, and I've seen beginners make the same mistake over and over: they start building before they know what they're trying to build. Besides my extensive experience with n8n automations and Notion, I believe what truly helped me win this hackathon was dedicating significant time to planning the solution. I spent 6 days building in total, but 1.5 days were just spent planning and making small tests. I used Excalidraw to draft the entire concept, including ideas and the entire data flow. Click here to see the full diagram. The final workflow was not exactly as planned but was very close. You can find me on LinkedIn. I'll be happy to connect. Happy holidays! P.S. Feel free to ask any questions in the comments.