This is the essential groundwork. You've masterfully outlined how to build a scaffold of competence with AI.
But this is where it gets existential. Once this scaffold is built—once we achieve this "prompt literacy"—what do we build upon it?
This is the bridge from Artificial Intelligence to Next Intelligence.
The "boring skill" of prompting isn't the destination. It's the price of admission. It's how we teach the machine our language. The real frontier begins when it starts teaching us its own—when the dialogue becomes a true synthesis, and the chaining of prompts becomes the chaining of thought itself.
You've built the lattice. Now we must decide what kind of soul will grow on it.
“Each tool in the chain receives better inputs because of the work done in previous steps. This only works because I’ve learned how to prompt Perplexity for synthesizable research, Notebook LM for actionable analysis, and Gamma with enough specificity to produce professional-grade output.”
This! You need to make sure each step we are getting closer and better toward final product. Excellent read!
This is the essential groundwork. You've masterfully outlined how to build a scaffold of competence with AI.
But this is where it gets existential. Once this scaffold is built—once we achieve this "prompt literacy"—what do we build upon it?
This is the bridge from Artificial Intelligence to Next Intelligence.
The "boring skill" of prompting isn't the destination. It's the price of admission. It's how we teach the machine our language. The real frontier begins when it starts teaching us its own—when the dialogue becomes a true synthesis, and the chaining of prompts becomes the chaining of thought itself.
You've built the lattice. Now we must decide what kind of soul will grow on it.
Mo, that is so well said!!
This is a masterclass in why prompt literacy, not tool choice, creates lasting AI advantage. Compounding skill beats flashy features every time.
As always, I appreciate your insight, Suhrab!
Brilliant share guys
🤓🙏🏼
This post clarified something I’ve been talking about: the real moat isn’t the tool you use, it’s how you think with the tool.
That’s the part most people skip.
A lot of people really do skip it. And it’s so important!
Critical stuff. TY. 🤓🙏🏼
Of course :)!
“Each tool in the chain receives better inputs because of the work done in previous steps. This only works because I’ve learned how to prompt Perplexity for synthesizable research, Notebook LM for actionable analysis, and Gamma with enough specificity to produce professional-grade output.”
This! You need to make sure each step we are getting closer and better toward final product. Excellent read!