Summarize a long document without losing the details
Ask for structure first, then the summary; check it against three facts.
How models work
How much an AI can “see” at once, and why long chats start to drift.
5 min readPlain English
In one sentence
The context window is the AI’s working memory: everything it can take into account at once, from your instructions to the chat so far and any files, up to a fixed limit.
Think of it like…
A desk. The AI can work with everything on it: your note, the letter you’re answering, the price list. The desk is big, but it has edges. Pile on more and the oldest papers slide off the back. Even before that, a sheet buried in the middle of the pile is easy to miss.
Each time you send a message, the app hands the model a bundle: its instructions, the conversation so far, any files, and your new message. The model reads that bundle, and only that, to write its reply.
A new chat starts with a clear desk. The model won’t remember yesterday’s conversation unless the app has saved notes and adds them back in.
Good at
Bad at
The drifting chat. Two hours into planning a bakery’s holiday menu, the assistant forgets the “no nuts” rule from the start. Restate it, or start fresh.
The clean restart. A design studio ends a long chat by asking for a summary of what’s been decided, then pastes it into a new chat to carry on.
The long contract. A plumbing firm attaches a supplier contract and asks the AI to quote the clause it’s relying on, to check it read the right part.
Myth vs reality
Myth: A bigger context window means it remembers everything you’ve said.
Reality: Bigger windows hold more, but details in the middle of a long pile still get missed, and nothing carries into a new chat unless the app saves it.
Forty messages into a chat, the AI starts ignoring an instruction you gave at the start. What’s the best fix?
Ask for structure first, then the summary; check it against three facts.
Training, cutoff dates, and why it doesn’t know your business unless you tell it.