The average piece of marketing content gets passed around multiple times before it ships. All that time coordinating could have gone to creating.
I joined Brandon Redlinger on Stack & Scale to walk through exactly how I’ve fixed this. This one’s worth watching while you’re on the treadmill, drinking your morning coffee, or folding laundry because I do a live demo of chaining GPTs together. See link to the video in the comments.
You’ll see one GPT brainstorm content angles, pass it to another that builds the webinar structure, which feeds the email writer, which flows into social posts. All in one conversation.
Here’s what you’ll walk away with:
➡︎ How to build and chain specialized GPTs in one thread so each one gets full context instead of starting fresh every time
➡︎ Why small, focused GPTs beat one big GPT that tries to do everything (plus when you need both)
➡︎ The prompt frameworks that make AI show you its thinking before giving answers, so you stay in control
➡︎ Guardrails that keep GPTs on task and get them to flag what they don’t know instead of making stuff up
➡︎ How to write prompts that push AI past generic ideas into stuff that actually stands out
Thanks to Brandon for going deep on what actually works instead of surface AI tips. His focus on real implementation makes Stack & Scale required listening for anyone rebuilding how GTM teams operate.
The future of marketing is about better systems, not bigger teams. This conversation shows you how to build them.