Mar 31
Loading video player...
If you’re still collecting prompt templates in 2026, you’re already behind. Prompting didn’t get harder — it got misunderstood. In this video, I break down how modern AI actually works with context and memory, and why the old “mega-prompt” approach is wasting your time. You’ll learn the exact mental model I use to get consistent, high-quality results from ChatGPT and AI automations — without clever wording or prompt hacks. Chapters 00:00 – Why prompt templates stopped working 01:21 – The context window revolution 02:17 – The two prompting environments 03:37 – The T.P.O.C. framework 05:18 – Prompting inside ChatGPT 08:58 – Prompting for the API 10:08 – The Meta-Prompt 13:02 – The real shift for 2026 We’ll cover: - Why context windows changed everything - The difference between stateful AI (ChatGPT) and stateless AI (API & automations) - The T.P.O.C. framework for predictable AI outputs - How to use ChatGPT memory correctly - Why long prompts are necessary in automations - The meta-prompt I use to let AI design complex prompts for me This isn’t about sounding smart. It’s about building environments where AI does real work for you. If you want to stop guessing and start building systems — this video will change how you use AI. Subscribe if you want more practical AI, automation, and system-thinking content.