How limits actually work (quick mental model)
Many tools don’t “count messages”. They count tokens. And each new turn typically includes prior conversation as input. That means long chats get expensive fast.
- Every follow-up costs more: the model re-reads previous context.
- Small changes compound: trimming a few paragraphs per turn can be the difference between smooth work and hitting limits.
Why long chats hurt
Each new turn often includes your entire thread as input.
More history → more tokens re-read → you hit limits sooner. The fixes below mainly reduce repeated context.
Rule of thumb
cost ≈ history + your prompt
Trim
Batch
Reset
10 fixes that reliably reduce token burn
Best practice for builders
When you’re coding, the fastest way to reduce tokens is to keep the conversation state small and specific: give file paths, current errors, expected output, and a tight “done definition”.
Source / attribution
This page is adapted (summarized and restructured) from Digital Guild – Stop Hitting Limits.