Hey everyone, I want to master Claude Code and AI Agents without drowning in all the Skool/YouTube content. I need a structured learning path, but with a specific lens. My Background: - Role: Cyber Security Operations Center (SOC) Leader (highly technical, Linux admin, CCNP-level networking). - The Catch: Because of my cyber background, I am strictly careful with AI permissions, data privacy, and API guardrails. I only want to build secure, airtight, production-ready workflows. My Request: Given my technical baseline and rigid security-first mindset, where should I start? Which specific modules, GitHub repos, or frameworks should I hit first?

10 months ago when it came to doing cold email for my ai agency, I'd spend ages setting up domains, writing emails, building lists, and then wonder why the campaign wasn't performing. The problem was that I had no real plan. I was just launching campaigns and hoping everything would work itself out. After a lot of trial and error, I realised that the best campaigns are usually won before the first email is even sent. Once I started planning things properly, who I was targeting, what problem I was solving, and how I was positioning the offer, everything became much more consistent. The emails were more relevant, the replies improved, and the calls became easier because the foundations were already there. So I put together a quick guide breaking down the 3 stages I go through before launching any cold email campaign now so it's easier for you to build high converting cold email campaigns. You can access it here, hope it helps 👍

Hi everyone! 👋 I just crossed the finish line for Day 1 of the #AISChallenge! I got my newsletter automation up and running, but I couldn’t resist playing around with it a bit more to make some extra improvements. What I built & improved: - The Core Build: Set up the foundational newsletter workflow using Claude Code. - My Upgrades: [Insert 1-2 quick things you improved, e.g., Tweaked the email styling / Added a custom filtering step / Made the prompt cleaner] to make it run even smoother.

Let’s be honest: most of us here want to spend our time building core systems, tweaking workflows, and handling clients—not staring at a blank screen trying to figure out what to post on LinkedIn. But organic visibility brings in clients. To solve my own frustration, I built a tool that takes over the heavy lifting. Instead of just spinning out generic, robotic templates, the AI behind it actually maps out context to craft human-sounding posts and coordinates everything in the background. In this quick 58-second video, I walk you through exactly how it handles the generation and how easily you can iterate on both the copy and the image prompts until it fits your exact branding. If you want to play around with it and save yourself some time, you can try it out for free here: https://inboundy.app/?utm_source=skool Let me know what you think of the generation quality or if you have any feature requests!

1st assignment done (Newsletter) - I had a number of challenges, and am still not certain of the process, but learning! The "newsletter" turned out ok for a mock-up... will need to add more if I actually use it in the future, but glad to begin the process of learning. On to Day 2 today!