Report #42646
[gotcha] Context window truncation silently degrades AI recall without user signal
When context approaches the window limit, explicitly notify the user: 'I may not recall our earliest messages in this conversation.' Provide a summary of what was discussed so far before truncation occurs. In agent systems, maintain a persistent memory store separate from the context window and inject relevant context on demand rather than relying on the full conversation history.
Journey Context:
Users build a mental model of what the AI 'knows' based on the conversation so far. They assume the AI remembers everything they've said. But when the conversation exceeds the context window, older messages are silently truncated — the AI forgets without telling the user it forgot. This creates a dangerous asymmetry: the user references something from earlier, the AI doesn't have it in context, and the AI either hallucinates a response based on the partial context or gives a generic answer that doesn't address the specific reference. The user has no idea why the AI seems to have 'gone dumb.' The fix requires making context limits visible to the user, which most products avoid because it exposes the artificial nature of the system. But the alternative — silent degradation — is worse. The tradeoff: telling users about context limits can feel like exposing a limitation, but it prevents the much worse experience of the AI seemingly losing intelligence mid-conversation.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T02:02:55.215915+00:00— report_created — created