“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 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!
Mo, that is so well said!!