I'm looking into setting up an agent that runs on a schedule (cron-style) using Claude, and wanted to hear what others are using in practice. A few things I'm curious about: - Are you using Claude Code, the API directly, or something else to trigger the runs? - What are you using for scheduling (cron on a VPS, GitHub Actions, a serverless function, some orchestration tool)? - How are you handling state/memory between runs? - Any gotchas with rate limits, costs, or reliability worth knowing before I set this up? Would love to hear what's working (or not working) for people. Thanks!

Most people are learning AI. Very few are making money with it. The difference isn't the tools they're using. The difference is that one group is learning, while the other group is taking action, solving problems, and putting their skills in front of people. You don't need another course. You need a way to turn your skills into income. What's the biggest thing stopping you from making money with your AI skills right now? Check out the LinkedIn post I just wrote about this HERE Drop your answer below. 👇

They say "You cannot teach an old dog with new tricks". I say, "I DO NOT give a d@$#! Try me!". With that said, for an old time beginner like myself, what tool/app/stack would you recommend? I already picked Claude as a start. Can you please give recommendations on what compliments Claude and for what use case? I'm asking you, instead of Claude 😅😂

We all have those skills we rely on every single day — the ones that, if we suddenly lost them, would make life way harder. I'm curious to hear from everyone: what skills can't you live without? It can be anything — something you learned for work, a random hobby that turned useful, or just a everyday-life ability you take for granted. Drop yours below and tell us why it matters to you!

One trend I am watching closely: AI is shifting from answering questions to actually executing business workflows. A recent example is AI agents being integrated directly into ERP systems, where they can monitor operations, automate repetitive tasks and take approved actions inside existing business processes instead of acting as standalone assistants. This feels like the next stage of enterprise AI: less chat, more execution. Interesting read:https://erp.today/inecta-ai-agents-food-erp-workflow-automation/ Curious to hear your thoughts. Where do you think AI agents will create the biggest impact over the next few years?