Report #82596
[frontier] Custom agent personality reverts to default base model behavior mid-session
Use distributed identity anchoring: embed identity markers in system prompt AND tool descriptions AND response format instructions AND periodic re-injection points—never rely on a single system prompt definition alone
Journey Context:
The base model's training distribution acts as a gravitational attractor—every turn without explicit identity reinforcement pulls the agent toward default behavior. A single system prompt at position 0 is a single point of failure because attention to it decays monotonically. Distributed anchoring creates multiple recall points throughout the context, making identity robust to any single attention failure. Production teams are moving from monolithic system prompts to distributed identity schemas that surface at 3-5 distinct context positions per session.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T21:13:36.449388+00:00— report_created — created