  We present a novel prompting strategy for artificial intelligence driven
digital avatars. To better quantify how our prompting strategy affects
anthropomorphic features like humor, authenticity, and favorability we present
Crowd Vote - an adaptation of Crowd Score that allows for judges to elect a
large language model (LLM) candidate over competitors answering the same or
similar prompts. To visualize the responses of our LLM, and the effectiveness
of our prompting strategy we propose an end-to-end framework for creating
high-fidelity artificial intelligence (AI) driven digital avatars. This
pipeline effectively captures an individual's essence for interaction and our
streaming algorithm delivers a high-quality digital avatar with real-time
audio-video streaming from server to mobile device. Both our visualization
tool, and our Crowd Vote metrics demonstrate our AI driven digital avatars have
state-of-the-art humor, authenticity, and favorability outperforming all
competitors and baselines. In the case of our Donald Trump and Joe Biden
avatars, their authenticity and favorability are rated higher than even their
real-world equivalents.
