Refining Conversational AI for Alexa

Client: Amazon
Role: User Experience Designer
Duration: June 2024 – August 2024
Tools & Technologies: GPT, Alexa style guide, prompt copywriting, LLM editing, content testing

Project Overview:

Amazon’s Alexa team aimed to enhance the quality, consistency, and brand alignment of responses generated by large language models (LLMs). The goal was to ensure that Alexa’s personality, tone, and helpfulness remained consistent while leveraging the creative potential of AI tools like GPT.

My Contributions:

Tone & Style Adaptation:

• Reviewed and rewrote GPT-generated output to align with Alexa’s established tone, personality, and customer expectations.

• Applied Amazon’s internal style guide and editorial standards to ensure natural, friendly, and informative voice interactions.

Prompt Engineering:

• Created and refined ChatGPT prompts for various user intents and edge cases, testing responses for tone accuracy, relevance, and natural language flow.

• Collaborated with product teams to iterate on prompt structure for better performance in different use cases.

Microcopy & UX Messaging:

• Delivered high-impact microcopy that communicated instructions, error messages, and conversational responses clearly and effectively.

• Balanced brand personality with practical utility, making Alexa sound human while remaining helpful.

Impact:

• Improved voice interaction quality by aligning LLM output with Alexa’s voice persona and customer expectations.

• Accelerated team workflows by developing prompt structures and rewrites that could be reused across multiple scenarios.

• Contributed to scalable editing guidelines, helping Amazon enhance the consistency and trustworthiness of AI-generated content across Alexa experiences.