I've been struggling with my weight loss journey as I've been trying to figure out how to balance my 9-5, learning AI, and going to the gym consistently at the same time. It's been really hard over the last couple of weeks. I have a feeling a bunch of you are in the same boat. I was thinking about how to solve this. Here's what I've been doing and what I believe makes sense right now: 1. Scheduled 4 non- negotiable days per week at the gym, the time remains flexible(Why? because life happens, and if you get caught up on the time, missing that period will give you an excuse not to work out). 2. Try to make two of our 3 meals per day healthy in nature. I find that if you try to go for only healthy meals, relapse is inevitable. We have to slowly allow the body to adjust. 3. To avoid bad snacking, just remove them from your environment. Allow your current batch to deplete and refrain from restocking. Anybody got thoughts? Hope this helps someone 🙏 — and all the best on your automation journeys.

All of the resources for the course are in the classroom Excited to share with you what I worked on over the past few weeks https://www.youtube.com/watch?v=TZ43SRdTMs0

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.