AI Session
A single continuous conversation thread with an AI model, from the first message to the last. Each session has its own context window that resets when a new session starts.
An AI session is like a workspace. Everything said within it accumulates in the context window. Starting a new session clears the slate entirely, which is why fresh sessions produce sharper responses than bloated ones. The best workflow treats sessions like focused work blocks: one topic, one goal, then close and start fresh.
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Related Terms
Context Window
The total amount of text, code, and conversation history an AI model can hold in active memory during a single session. Measured in tokens, not words.
Token Reuse
The compounding effect where each new AI response requires reprocessing all previous conversation tokens, increasing latency and cost with every turn.
Context Threshold
The percentage of context window usage at which AI output quality begins to noticeably degrade, typically around 50-70% depending on the model and task complexity.