NatashaTheRobot

NatashaTheRobot

Share this post

NatashaTheRobot
NatashaTheRobot
The Case for Preprocessing: Using LLMs Before Your Users Do

The Case for Preprocessing: Using LLMs Before Your Users Do

Learn how to use LLMs efficiently by preprocessing and storing AI-generated content on the backend instead of generating it on demand, saving costs, reducing latency, and improving scalability.

NatashaTheRobot's avatar
NatashaTheRobot
May 13, 2025
∙ Paid

Share this post

NatashaTheRobot
NatashaTheRobot
The Case for Preprocessing: Using LLMs Before Your Users Do
Share

Most of us interact with LLMs today through chat interfaces. We type in whatever’s on our mind (e.g. random questions, half-formed thoughts) and the AI responds with something uniquely tailored, almost instantly. It’s beyond impressive. But this immediacy also shapes how we think about using LLMs: as tools that only operate in real time, responding to a…

This post is for paid subscribers

Already a paid subscriber? Sign in
© 2025 NatashaTheRobot, Inc
Privacy ∙ Terms ∙ Collection notice
Start writingGet the app
Substack is the home for great culture

Share