Just posted a video on building an automated agent/workflow to help you network on LinkedIn. Check it out, and see if it helps.

If you saw my LinkedIn post about AI Sycophancy, the tendency for AI to validate your feelings instead of giving you objective intelligence - you know this is a major blind spot for businesses. We need AI to be a strategist, not a confidant. I’ve uploaded the full Neutral Prompting Cheat Sheet & Master Research Guide for you here in the community. 👉 Where to find it: Go to the Classroom tab and look under the "Diagrams and Research" module. Grab the PDF there. Let's discuss below: Are you seeing this "validation trap" happen with your own team's AI workflows? I'd love to hear your feedback on how you're handling it.

I’m dropping a full breakdown video tomorrow on how I’m automating the Dream 100 strategy, but I wanted to give you guys a head start. The workflow is good tool to have in your outbound asenal: - LinkedIn Scraping: Finding the exact "Dream" leads that move the needle. - Clay Integration: Moving that data into Clay for deep enrichment. - Direct Outbound: Using LinkedIn directly to bridge the gap and start the conversation. The Assets are LIVE: I’ve already uploaded the templates and assets to the Classroom section. If you want to poke around, go grab them now. Video drops tomorrow - stay tuned!

Prime the Primer — How to Load the Context Window Properly This is the first video in the series. In this walkthrough, I show you how to prime the context window correctly using the GSD Cloud Code plugin to scrape and load relevant client information before you run any AI workflows. Why this matters: - Better context = better outputs - Fewer hallucinations - More accurate, usable AI responses Watch the video, then apply the same priming approach to your own client or internal workflows. 👇 Video is available below

Check it out!