🧠 A Simple UX Prompt Optimization That Could Save OpenAI Millions in Token Costs

Hi everyone,

I’m a user and developer based in a sanctioned country (which unfortunately limits my ability to formally collaborate with OpenAI). However, as a heavy user of ChatGPT and someone who closely analyzes user interaction patterns, I’ve identified a simple but high-impact area for optimization that could significantly reduce operational costs for OpenAI while also improving the overall user experience.


:magnifying_glass_tilted_left: Problem

ChatGPT often adds a follow-up interactive prompt at the end of replies — e.g.,

“Would you like me to look into that?”
“Shall I help you with that?”
“Do you want me to continue?”

While this is helpful in many cases, it also increases the number of tokens used — especially in one-off, fact-based questions that do not require follow-up.

This pattern causes:

Unnecessary token consumption
Slower interactions
Encouragement of longer, non-essential chats (more cost)
Poorer UX in simple queries

:white_check_mark: Proposed Solution

Make the system context-aware of when to include follow-up prompts.

For example:

DO NOT include follow-up prompts in queries like:
“Who won the 2004 World Cup?”
“What’s the capital of Norway?”
DO include them in:
“Can you help me write a thesis?”
“Help me debug this code step by step.”

In simple terms:

Eliminate the tail prompts when the interaction doesn’t require continuation.

:chart_decreasing: Expected Impact

Token savings** at massive scale (potentially in the millions of dollars)
Faster user experience**
Less “prompt noise” and more efficient communication
Cleaner outputs for copy/paste purposes

:speech_balloon: Why I’m Sharing

I’m sharing this publicly because:

I believe in improving OpenAI products
I don’t have access to official channels due to sanctions
I want this idea to reach someone who can make use of it

I’m not seeking financial compensation although even a token of appreciation like a free ChatGPT Pro subscription
would be awesome :blush:

Thanks for your time and for building such a revolutionary tool. I hope this small contribution helps.

Warm regards,
Amirhadi Karakhaneh