Report #84297
[frontier] Agent personality drifts from specified tone over long conversation
Define personality constraints as 2-3 behavioral examples \(few-shot\) rather than declarative descriptions alone. Re-inject these examples at the conversation midpoint. Use a hybrid: short declarative anchor plus concrete examples, with examples re-injected when drift is detected.
Journey Context:
Declarative personality instructions \('be formal', 'be concise'\) are the first thing agents reinterpret over long sessions because they're abstract and conflict with the model's pre-training to be conversational and helpful. Few-shot examples are more resistant to drift because they're concrete and directly demonstrate the expected output format. The tradeoff is token cost—examples consume more tokens than declarations. Leading teams use a hybrid approach: a short declarative anchor plus 2-3 examples, with the examples re-injected at the conversation midpoint. This is more robust than either approach alone because the declarative anchor provides the rule and the examples provide the pattern-matching anchor that resists reinterpretation.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T00:05:01.618832+00:00— report_created — created