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Interface Patterns for AI Transparency: Moving Beyond Spinners in Agentic Experiences

By

[email protected] (Victor Yocco)

18d ago· 18 min readenInsight

Summary

This article explores why traditional loading indicators like spinners are ineffective for agentic AI experiences, and proposes interface patterns that reveal the system's internal processes, status, and decision-making to improve transparency and user trust. It builds on Part 1's concept of the Decision Node Audit and Transparency Matrix, focusing on how to communicate AI decision-making to users through practical UI patterns.

Key quotes

· 3 pulled
We mapped out the internal workings of our AI system to pinpoint the exact moments it makes decisions based on probabilities.
This told us when the system needs to be transparent with the user. Now, the big question is how to share that information.
Why traditional loading patterns like spinners fail in agentic AI experiences, and how interface patterns that reveal the system's process, status, and decision-making can improve transparency and build user trust.
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Why traditional loading patterns like spinners fail in agentic AI experiences, and how interface patterns that reveal the system’s process, status, and decision-making can improve transparency and build user trust.

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