Has anyone built an AI agent that utilizes tool calling with n8n? For example: An organization has different branches, and each branch has its own APIs for specific tasks (e.g., calculations, cashback). You use the n8n HTTP Request node and define rules so the AI knows exactly which function to call and also when to use the API response from one request to make another HTTP request and give answers to "questions". I built something like this with Python, LangChain, and Flask, but I'd love to see how people are doing it natively in n8n!

Had a client whose rep described payment terms slightly wrong on a call. Client showed up to sign with totally different expectations. Nobody caught it until it was too late. That's what manual call review gets you — you spot the obvious stuff and miss everything else. New video just dropped showing how we built a skill in Claude Cowork that grades sales calls against a real scorecard. First demo call came back -23. The "good" call? 58/100. Neither of those numbers would've come from a gut check. Worth a watch if you're in sales or building for sales teams. Anyone here done anything with AI for sales QA? Curious what you've tried 👇

Hello my name is Juan Fdo. I'm from Colombia. I like to learn all IA.

How is the week going

Let's face it: Scraping Amazon is getting harder every day. Between constant UI changes and aggressive bot detection (Cloudflare/CAPTCHAs), maintaining a stable price tracker is a full-time job. I recently built a workflow using Moclaw to solve this, and it’s a total game-changer for e-commerce data. How it works: Instead of a traditional scraper, Moclaw deploys a "Cloud Agent" that navigates the site just like a human shopper would—inside an isolated, high-performance VM. Why this approach wins: - Bypass Anti-Bot: Because Moclaw executes in a real browser environment in the cloud, it bypasses most fingerprinting techniques that block standard scripts. - No Maintenance: You don't need to update your CSS selectors every time Amazon moves a button. The Agent "understands" the page layout. - Direct Integration: It can push price alerts directly to your database or messaging app. I’ve put together a live tool/demo showing exactly how this works for Amazon SKU tracking. Check it out here: 👉 https://moclaw.dev/tools/amazon-price-tracker I'm curious for the Data experts here: What’s your current go-to strategy for handling "high-friction" sites like Amazon or Walmart? Still using proxies, or moving towards AI Agents? Let’s discuss in the comments! 👇