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Midora AI Case Study # 2: Group Chat Context

How concurrent messages from multiple users were corrupting the shared context and how one talkative participant could fill the context window for everyone else. Fixed with a per-session ordered message queue using atomic sequence numbers, batching of rapid messages into single completion calls, split context budgets per participant, and named attribution in the context so the AI could address people individually.

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