SOURCE-LINKED INTELLIGENCE
Persona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execution Audit
Large language model (LLM) agents in governed organizations must let the persona (instructions, tone, self-presentation) evolve freely, while keeping execution (stateful, audited work) traceable. A single trust domain does not satisfy both cheaply. We present Persona-Execution Separation (PES): persona and execution reside in different trust domains, connected by a governed contract bridge. The persona is singly-homed and may drift; execution is faceless and audited. Status summaries may return; data bodies remain in the restrictive domain except a data-loss-prevention (DLP) exception; identit
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T17:50:07.000Z
First collected: 2026-09-21T08:32:02.028Z. This is not the publication date.