I used to write long prompts. Paragraphs of context, detailed instructions, examples. It worked, but it felt like explaining your job to a new intern every single morning.
Then I realized: most of that context already exists inside the model. It was trained on millions of texts about SOLID, MECE, the Feynman Technique, Cynefin, Five Whys, the Socratic Method. I don't need to explain these concepts. I just need to name them. One word, and the AI activates an entire body of knowledge. I call these Semantic Anchors.
I made a 60-second video to explain the idea:
And this is just the beginning. I'm building a video series where each episode dives into one specific Semantic Anchor and shows you how to use it with AI. Here's what's coming:
EP01: What are Semantic Anchors? EP02: SOLID Principles EP03: MECE Principle EP04: Feynman Technique EP05: Five Whys EP06: Cynefin Framework EP07: Socratic Method
Every anchor saves you dozens of lines of prompting and gives you better results because the AI can draw on deep, structured knowledge instead of interpreting your ad-hoc instructions.
If you've ever spent 10 minutes crafting a prompt that a two-word anchor could replace, this series is for you. Follow along and I'll publish one episode per week.