AI Interaction Pattern Library

A curated collection of human-centered UI patterns and best practices for designing intuitive, trustworthy, and effective AI-powered experiences.

Natural Language Search UI

Pattern 01

Natural Language Query & Search

Enable users to search across data silos using everyday language for context-aware, precise information retrieval.

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Conversational Chat Interface

Pattern 02

Conversational Interfaces (Chat)

Provide instant, verifiable answers from an organization's entire knowledge base through a natural chat interface.

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Generative Content Creation UI

Pattern 03

Generative Content Creation Tools

Empower users to instantly generate reports, emails, and proposals with customizable parameters for tone and style.

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AI-Powered Automation UI

Pattern 04

AI-Powered Automation & No-Code Assistants

Streamline workflows and automate administrative tasks using intuitive, no-code AI-powered assistants.

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AI Response with Citations

Pattern 05

Verifiable Answers with Citations

Build user trust by providing fully sourced AI responses with clear, in-line citations linking back to original documents.

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UI for Hallucination Detection

Pattern 06

Hallucination Detection & Uncertainty Highlighting

Visually indicate areas of uncertainty in AI responses to empower users to make educated, critical decisions.

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Embedded AI Integration

Pattern 07

Embedded AI Integration

Seamlessly integrate context-aware AI functionality directly into users' existing systems and workflows.

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AI Analytics Dashboard

Pattern 08 Under Construction

Intuitive Dashboards & In-platform Analytics

Provide clear graphical dashboards for managing and measuring AI usage, performance, and cost reduction.

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Granular Access Controls UI

Pattern 09

Granular Access Controls

Implement robust, role-based permissioning to ensure users only see the data they are authorized to access.

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AI Model Hub UI

Pattern 10

Intelligent Model Serving & Selection

Offer a flexible "AI Model Hub" allowing administrators to deploy and manage the best model for any task.

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Token Quota Management UI

Pattern 11

Token Quotas & Compute Allocation Controls

Provide clear mechanisms for managing token usage and compute allocation to optimize costs and efficiency.

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Human-Agent Collaboration Interface

Pattern 12

Human-Agent Collaboration Interfaces

Design interfaces for directing, monitoring, and providing feedback to proactive "Agentic AI" that automates complex tasks.

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Situational Awareness Display

Pattern 13

Enhanced Situational Awareness Displays

Present AI-generated synthetic insights and situation reports in intuitive dashboards for faster, more informed decisions.

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Multi-modal AI Response

Pattern 14

Multi-modal Content Support

Enhance user understanding by displaying relevant diagrams, maps, or schematics alongside text-based AI responses.

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Multi-modal AI Response

Pattern 15

Proactive Threshold Notifications

Proactively alert administrators across multiple channels when AI resource consumption, such as token usage, approaches a predefined threshold.

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