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Why a conversation falters long before the context window fills up — and how to build a workflow that avoids it Continue reading on Medium »
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Title: Close this chat
URL Source: https://medium.com/@Halfofthesky/close-this-chat-e0c8b691f069?source=rss------llm-5
Published Time: 2026-04-22T19:49:09Z
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# Close this chat. Why chat falters long before the context window fills - and how to fix it | Medium
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# Close this chat
[](https://medium.com/@Halfofthesky?source=post_page---byline--e0c8b691f069---------------------------------------)
[Stanislav Lvovsky](https://medium.com/@Halfofthesky?source=post_page---byline--e0c8b691f069---------------------------------------)
9 min read
·
Just now
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_Why a conversation falters long before the context window fills up — and how to build a workflow that avoids it_
Press enter or click to view image in full size

Surprisingly, conveyor approach still works, even for LLMs (via MJ)
**Check my**[**LinkedIn**](https://www.linkedin.com/in/yury-sorochkin-stanislav-lvovsky-pen-name-56230921/)
An author is working on a column and wants to lean on a short explanation of a single concept — say, the difference in economics between demand-pull inflation and cost-push inflation. They open a chat and ask. The model answers — clearly, with neat examples, in the confident teacherly tone language models tend to fall into for conversations like this.
The answer reads smoothly, but something about it nags. The author writes his next message: “now look at your answer critically. Where are you oversimplifying? Where does the standard explanation hide something?”
The model answers again. The right words appear — “indeed, I should have clarified,” “perhaps I generalized too much.” Formall
URL Source: https://medium.com/@Halfofthesky/close-this-chat-e0c8b691f069?source=rss------llm-5
Published Time: 2026-04-22T19:49:09Z
Markdown Content:
# Close this chat. Why chat falters long before the context window fills - and how to fix it | Medium
[Sitemap](https://medium.com/sitemap/sitemap.xml)
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# Close this chat
[](https://medium.com/@Halfofthesky?source=post_page---byline--e0c8b691f069---------------------------------------)
[Stanislav Lvovsky](https://medium.com/@Halfofthesky?source=post_page---byline--e0c8b691f069---------------------------------------)
9 min read
·
Just now
[](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fvote%2Fp%2Fe0c8b691f069&operation=register&redirect=https%3A%2F%2Fmedium.com%2F%40Halfofthesky%2Fclose-this-chat-e0c8b691f069&user=Stanislav+Lvovsky&userId=1ffbb1990a3e&source=---header_actions--e0c8b691f069---------------------clap_footer------------------)
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[Listen](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2Fplans%3Fdimension%3Dpost_audio_button%26postId%3De0c8b691f069&operation=register&redirect=https%3A%2F%2Fmedium.com%2F%40Halfofthesky%2Fclose-this-chat-e0c8b691f069&source=---header_actions--e0c8b691f069---------------------post_audio_button------------------)
Share
_Why a conversation falters long before the context window fills up — and how to build a workflow that avoids it_
Press enter or click to view image in full size

Surprisingly, conveyor approach still works, even for LLMs (via MJ)
**Check my**[**LinkedIn**](https://www.linkedin.com/in/yury-sorochkin-stanislav-lvovsky-pen-name-56230921/)
An author is working on a column and wants to lean on a short explanation of a single concept — say, the difference in economics between demand-pull inflation and cost-push inflation. They open a chat and ask. The model answers — clearly, with neat examples, in the confident teacherly tone language models tend to fall into for conversations like this.
The answer reads smoothly, but something about it nags. The author writes his next message: “now look at your answer critically. Where are you oversimplifying? Where does the standard explanation hide something?”
The model answers again. The right words appear — “indeed, I should have clarified,” “perhaps I generalized too much.” Formall
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