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Agentic Interaction Model: Copilot Contextual Governance
Project type
Conversational Design & AI Logic Mapping
Date
2021-2023
Developed a high-fidelity interaction model for Copilot on Android, focusing on the 'text and attach' multi-modal workflow.
This project utilizes conversational sketching to map out the agentic reasoning traces and governance guardrails required for high-stakes human-AI partnerships.
Key Focus Areas:
Ambiguity Triggers: Mapping how the AI handles unclear user intents during file attachment.
Contextual Governance: Designing transparent notification frameworks that inform users of background AI actions.
Prototyping Logic: Using FigJam to bridge the gap between low-fidelity concepts and developer-ready logic flows.
