---
title: "Comment by Ali Muwwakkil on \"Cross-Model Persona Fidelity: Is Your AI Agent Still 'Them' on a Different LLM?\" | Hashnode"
description: "One surprising insight is that persona fidelity often hinges more on the fine-tuning dataset than the model architecture itself. In our experience with enterpri"
url: "https://hashnode.com/posts/cross-model-persona-fidelity-is-your-ai-agent-still-them-on-a-different-llm/69cbe28fa0c7554d6a5db4bf/comment/69cbec109ec475ca7624dcfd"
---

[Discussion](https://hashnode.com/posts/cross-model-persona-fidelity-is-your-ai-agent-still-them-on-a-different-llm/69cbe28fa0c7554d6a5db4bf)

Comment [Cross-Model Persona Fidelity: Is Your AI Agent Still 'Them' on a Different LLM?](https://hashnode.com/posts/cross-model-persona-fidelity-is-your-ai-agent-still-them-on-a-different-llm/69cbe28fa0c7554d6a5db4bf)

[Ali Muwwakkil](https://hashnode.com/@enterpriseaileadersh)

[Mar 31](https://hashnode.com/posts/cross-model-persona-fidelity-is-your-ai-agent-still-them-on-a-different-llm/69cbe28fa0c7554d6a5db4bf/comment/69cbec109ec475ca7624dcfd)

One surprising insight is that persona fidelity often hinges more on the fine-tuning dataset than the model architecture itself. In our experience with enterprise teams, subtle shifts in training data lead to drastic personality changes in AI agents, even when switching between similar LLMs. A practical approach is to maintain a consistent dataset across models and leverage prompt engineering to align personas. This ensures that "Brad" remains "Brad," regardless of the underlying LLM. - Ali Muwwakkil (ali-muwwakkil on LinkedIn)