In this video I show you how to build a fully autonomous trading bot on Claude Code, one that researches the market, places real trades on Alpaca, manages its own stops, and sends you daily recaps on a cron schedule. No Python process running anywhere. Claude is the bot. Five cloud routines handle the full trading day: pre-market research, market-open execution, a midday scan, an end-of-day summary, and a Friday weekly review. Memory lives in markdown files on your main branch, and hard strategy rules gate every order before it fires.

Claude Code just added a virtual pet to your terminal. Type /buddy and it hatches a companion that watches you code, reacts to your mistakes, and has its own personality based on your coding history. There are 18 species, rarity tiers, shiny variants, and stats like DEBUGGING and CHAOS. It costs nothing and does nothing useful. It's just fun. Here's how it works and what I hatched.

I have some news I need to share with you... Our AI Automation Society Plus membership price is going up starting this Sunday at Midnight Eastern. I've held off on this price increase as long as possible, but with the continuous updates to our courses and the growing value of our community calls, we need to align with the market. The good news? You can still lock in the current $78/month rate before Sunday – and that price will never increase for you as long as you remain a member. This means: - While others pay the new higher rate (or even more in the future) - You'll keep paying just $78/month – forever - You'll get all future updates and additions at no extra cost - You'll receive FREE tech support for your automations when you get stuck - You'll still be eligible for our weekly cash prizes that can make your membership effectively FREE This isn't some manufactured urgency – it's a genuine heads up from me to you. Want to lock in the $78/month rate before it disappears forever? Click here to secure your membership at the current rate. Once you're in at $78/month, that rate is yours to keep – no matter how high we raise prices in the future. But you need to join before Sunday at Midnight Eastern. I’ll see you inside!

For a deeper dive into RAG and dynamic memory, let's talk here. In this quick tutorial, I’ll show you how to set up Postgres and Supabase credentials in n8n to get your RAG (Retrieval-Augmented Generation) agent with memory up and running in no time! 💡

Hi everyone! 👋 Lovable is great for building no-code interfaces for AI agents, but what if you don’t want or can’t create complex UI? Turns out, you don’t have to. 💡 Did you know? You can return HTML directly from an N8N webhook - which means you can generate lightweight, real-time web pages pre-filled with live data and interactive elements. So I decided to upgrade my AI agent that chats with a database - now all the queried data is accessible via N8N webhook as a nice dashboard. Here is a list of all new features: 🔹 Instant Reports in HTML – Ask for specific data, and the AI generates a web page with a sortable, filterable table for analysis. 🔹 Basic Graphs – AI can prebuild visual insights for quick review. 🔹 Dynamic Dashboards – The challenge? Static data. Solution? A refresh button that pulls live data via a saved SQL query—giving you an interactive, real-time dashboard without complex frontend coding. 🔹 Report Management & Sharing – A central page to manage and share reports with teammates or partners. This setup took just a few hours and makes data insights more accessible without needing external UI tools. Check example of dashboard here 🚀 Would this help simplify data analysis in your business? Want a full guide on how to build it? Let me know! 👇