Hey team! 🚀 We're looking for beginners. for translation and data entry projects. If you're fluent in English and your local language, or skilled in image-to-PDF conversion, let's work together! 📝 Reach out on Telegram for more detailsThanks!" ( @Kennethkent1)

Hey everyone 👋 Just wrapped up a project I've been building for the past few weeks and wanted to share it here since this community will appreciate the technical side. I built a modular 5-agent AI system for restaurant automation using n8n. Here's the architecture: 🔧 Tech stack: → n8n v2.6 (self-hosted + ngrok) → Supabase (PostgreSQL) — central database → OpenAI GPT-4o-mini + GPT-4o + DALL-E 3 → SerpAPI (Google Maps, TripAdvisor, Yelp scraping) → OpenWeatherMap API → Telegram Bot + Gmail OAuth2 → HTML/JS dashboard on Netlify ⚙️ The 5 agents: 1. Reputation Manager — scrapes reviews from 3 platforms, runs sentiment analysis, upserts to Supabase 2. Reservations Bot — multi-step Telegram conversation flow with session management in Supabase 3. Weather Menu Promoter — fetches weather, matches menu items by weather_tags, sends Telegram recommendations 4. Inventory Manager — reads stock, builds AI prompt, parses JSON response, sends low-stock alerts 5. AI Menu Photographer — dual mode: GPT-4o Vision analysis OR DALL-E 3 generation, stores in Supabase Storage A few things I learned building this: - Merge node must use Append mode (not Choose Branch) to avoid blocking - Telegram Parse Mode should be removed to prevent MarkdownV2 errors - OpenAI response lives at response.output[0].content[0].text Full workflows on GitHub (sanitized, no credentials): github.com/Evgeniy1970-ai/restaurant-ai-suite Happy to answer questions or discuss the architecture. What would you have built differently?

This community is growing faster than ever and I am committing to know *your* needs and wants. Why are you here? What do you want (big picture)? What is the 1 thing stopping you from building your dream *right now*?

I recently built an Instagram DM automation agent using n8n, and it ended up doing way more than just auto-replies. At first, the goal was simple — reply to incoming DMs and save time. But I kept improving it, and now it’s basically a small assistant working in the background. Here’s what it can do right now: – Automatically reply to DMs and guide the conversation– Scrape relevant websites to pull in useful data when needed– Connect with a CRM to store and organize leads– Analyze resource files (docs, PDFs, etc.) to answer questions more accurately So instead of just sending generic replies, it can actually use context and data to respond in a smarter way. I’ve been testing it on a real use case, and it definitely reduces manual work + helps not miss potential clients. I’ll drop a screenshot below so you can see it in action. If you’re running a business through Instagram and dealing with a lot of DMs, this kind of setup can save you a lot of time (and probably make you more money too). If you’re curious how this could work for your case, just send me a message — happy to walk you through it.

Looking for someone to partner with who understands WhatsApp AI chatbots very well.