AI Design data modeling

An internal exploration focused on designing structured interactions between users and generative AI within a product environment. The goal was to move beyond one-off prompts and define how AI could operate as a consistent, usable system embedded within existing workflows.

Client: OpenAI / Handshake AI

Over nine weeks, we developed interaction models, prompt structures, and response frameworks that improved clarity, repeatability, and output quality. This work focused on translating open-ended AI behavior into predictable product experiences, enabling real world teams to integrate AI into their processes without losing control & maintaining direction.

Role: Product Design Data Trainer

Year: 2026 (9 weeks)

Scope: Structuring human to AI interaction within internal gpt environment aimed at processing real world workflows & high level design outputs

*No work examples available restricted to NDA

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