Email [email protected]
Address
An assistant may repeat the same answer after a user corrects a premise because conversation state is not updated, retrieval dominates context, or the model does not acknowledge uncertainty. This frustrates users and may spread incorrect guidance.
Evaluate multi-turn conversations with explicit corrections. Check context window handling, retrieval precedence, memory, prompt instructions, and whether the system reflects the corrected fact in later turns.
Make correction handling explicit, preserve relevant user-provided context with clear provenance, and ask a clarifying question when sources conflict. Track repeat-correction rates and review examples after changes.
Informatix Systems provides AI production operations and conversational evaluation services. We can review the system, trace dependencies, and help plan a practical fix. Contact us with the platform involved, when the issue began, and non-sensitive error details.
© 2015 - 2026 INFORMATIX SYSTEMS.