Has anyone experimented with an ensemble + synthesizer approach for reliability? I'm thinking: make n identical requests to get diverse outputs, then use a separate LLM call to synthesize/reconcile the distinct results into a final answer. Seems like it could help with the consistency issues discussed here by leveraging the natural variance in LLM outputs rather than fighting it. Any experience with this pattern?