Case Study — 2026
Problem
Solution
Takeaways
UX/UI Redesign · Enterprise AI
Role
Product Designer
Scope
IA · UI · Interaction
Platform
Web Application
Year
2026
01
The legacy interface suffered from fragmented information architecture. Model cards occupied the central canvas, obstructing the primary task flow, while the input field sat detached at the bottom of the viewport.
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Isolated input zone detached from primary controls
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Static model cards obstructing the workflow
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Undifferentiated chat history lacking semantic grouping
Legacy system — center-screen model cards and flat, ungrouped history.
02 — The Challenge
Replace the cluttered, card-dominated layout with a minimalist, input-first environment. Every architectural decision was measured against a single criterion — reducing cognitive load between the User’s intent and the system’s response.
03
Center-screen model cards were eliminated in favor of a unified input container anchoring the canvas. Model selection, attachments, and voice controls consolidated into a single component. Chat history moved into a structured sidebar with chronological grouping, enabling the User to locate prior sessions through semantic date clusters rather than linear scanning.
Redesigned workspace — unified input container with chronologically grouped history.
04
An in-line model switcher with integrated search surfaces the full model catalog without leaving the input context. Voice input renders as a live waveform contained directly within the primary field — recording, duration, and dispatch controls occupy the same footprint as text entry, eliminating modal interruptions.
In-line model switcher with search.
Voice waveform contained within the primary input field.
05
A multi-tier collapsible sidebar system maximizes screen real estate: navigation compresses to an icon rail, and the history panel collapses independently.
Contextual hover menus expose pin, edit, and delete actions per conversation. A sequential prompt timeline panel on the right edge provides instant navigation across long sessions.
Fully collapsed state — icon rail maximizes the canvas.
First-tier navigation expanded with full labels.
Contextual hover menu — pin, edit, delete per conversation.
Sequential prompt timeline panel on the right edge.
06
Complex AI outputs segment into three distinct views: Answer renders structured content including comparative tables; Sources exposes clickable reference links for verification; Details surfaces execution metadata such as runtime and model attribution — giving the User full observability without visual overload.
Answer view — structured comparative tables with Sources and Details tabs.
Segmented output tabs — Answer and execution Details.
07 — Takeaways
Centralizing controls into a single input container aligned the interface with enterprise software standards and measurably accelerated workflows for the User.
The redesign demonstrates that in AI tooling, restraint is a feature: every removed element returned focus to the core exchange between prompt and response.
AI Chat Interface Redesign — Case Study
2026