What it means in practice
Picture the AI as a very sharp person with a desk of limited size. As long as you put documents on the desk, they can work with them. Bring a book bigger than the desk, though (exceed the context window), and pages start falling off: it forgets the first paragraphs it read. Models like Claude and ChatGPT can now take in books of several hundred pages at once.
Why companies need to know this
- Working with long contracts. A large context window lets you send the AI a 50-page legal contract and ask what the penalties are for early termination.
- Fast competitor analysis. You can paste in the content of three competitor websites and have the AI build a comparison table of their services and prices.
- The limits of memory. If you work with AI all day in one long thread, it eventually starts forgetting the instructions from the morning. That is the signal its memory has overflowed.
An example from practice
A recruitment agency was processing hundreds of CVs a month. Comparing them by hand was extremely slow and the quality depended on what kind of day the recruiter was having. With a large context window, Claude could take in the CVs and the instructions at once, compare them against a structured role profile, and hand the team an accurate shortlist of top candidates to interview. First-pass screening went from hours to minutes.
In our company AI workshops we teach how to dose information sensibly so the AI keeps its answers accurate and free of hallucinations.