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Why AI loses context in long conversations
Window limits, topic drift, and attention dilution: a clear look at what actually goes wrong as a chat gets longer.
There are three real reasons AI assistants get worse as a conversation grows: limited context windows, attention dilution, and topic drift.
Context windows are finite
Every model has a maximum amount of text it can consider at once. As your conversation grows, older content gets compressed, summarised, or dropped – and you don't always know what disappeared.
Attention spreads thin
Even when context fits, the model has to decide what's relevant. The more material you give it, the harder that decision becomes. A focused, smaller context almost always beats a giant unfocused one.
Topics drift
Conversations naturally wander. Without a way to anchor the AI back to a specific topic, it tends to blend everything together – answering your strategy question with notes from a coding tangent.
BrainStorm addresses all three by making context something you can see, structure, and choose.