37 AI patterns are based on our 200+ real-world examples,
organized across five phases of an interaction journey.
Onboarding
Entry touchpoints
Entryways that show users how to begin; search, suggested prompts, open input, icons, proactive nudges, or autocomplete.
Open Suggested prompts
Free
Suggested prompts
Jumpstart user engagement with smart and context-aware preset actions.
34 examples inside
Open Proactive suggestions
PRO Exclusive
Proactive suggestions
Invisible AI moments that surprise users with exactly what and when they need.
7 examples inside
Open Searching & filtering
PRO Exclusive
Searching & filtering
Moving from clicks to natural language searches and applying filters.
11 examples inside
Open Autocomplete
PRO Exclusive
Autocomplete
Anticipating & completing actions without disrupting user's workflow.
6 examples inside
Disclaimer
A disclosure shown to users that clarifies AI's involvement, limitations, and sets expectations.
Examples inside
"For my daily work, conference talks and online courses, it’s invaluable."
🇵🇹Christian Kuhnsince Aug 2025
Head of UX center of competence at Optimizer.pt
Input
Expressive Input
Ways for users to express intent; voice, images, handwriting, gestures, or structured prompts.
Open Voice input
Free
Voice input
Enabling users to interact with their voice, have a conversation or take actions.
8 examples inside
Open Handwriting input
PRO Exclusive
Handwriting input
Allowing users to write and receive information in natural handwriting.
1 example inside
Open Visual input
PRO Exclusive
Visual input
Let users attach images, screenshots, or other visuals as part of the input.
17 examples inside
Open Gesture input
PRO Exclusive
Gesture input
Using physical gestures (swipes, pinches, circles) as expressive input signals for AI systems.
5 examples inside
Open Structured input
PRO Exclusive
Structured input
Offer lightweight structure (slots, hints) to compose clearer prompts faster.
8 examples inside
Expanding context
Additional signals that enrich the request; prompt help, model choice, connectors, or knowledge sources.
Open Prompt assistance
PRO Exclusive
Prompt assistance
Guiding users to express their intent effectively via suggestions, follow-ups, templates etc.
11 examples inside
Open Model selection
PRO Exclusive
Model selection
Let users pick the right model or mode for the task when it matters.
4 examples inside
Open MCP connectors
PRO Exclusive
MCP connectors
Let AI directly interact with other apps and services to perform tasks.
Examples coming soon
Open Knowledge bases & Integration
PRO Exclusive
Knowledge bases & Integration
Use organizational knowledge (databases, docs, wikis) to specialize responses.
4 examples inside
"I've gotten a ton of value out of aiverse over the last year. Patterns book was solid!"
🇺🇸Dave Brownsince Feb 2025
Head of AI/ML Product Design at Amazon
Output
Types of outputs
Different ways responses are delivered; previews, video, images, audio, summaries, or structured formats.
Open Preview output
PRO Exclusive
Preview output
The "test-drive" of AI to get a glimpse of results before committing to the process.
8 examples inside
Video output
Generate or assemble video for dynamic explanations and demos.
2 examples inside
Image output
Return images or generated visuals as the primary output form.
27 examples inside
Open Audio output
PRO Exclusive
Audio output
Speak results aloud for accessibility and hands-free use.
3 examples inside
Open Variations
PRO Exclusive
Variations
Presenting multiple alternative outputs for the same input.
14 examples inside
Multi-modal output
Combine text, images, audio, and video where appropriate for richer responses.
Examples inside
Open Summary
PRO Exclusive
Summary
Condense long content into concise takeaways or executive summaries.
9 examples inside
Open Structured output
PRO Exclusive
Structured output
Consistently formatting AI responses into predefined schemas instead of free-form text.
22 examples inside
Processing
How the system handles generation; real-time, streaming, parallel work, or stepwise updates.
Open Parallel processing
PRO Exclusive
Parallel processing
Run mutliple processes / agents concurrently to become architects of processes.
6 examples inside
Open Streaming
PRO Exclusive
Streaming
Gradual reveal of AI output, showing the progress instead of waiting blindly.
41 examples inside
Open Processing steps
PRO Exclusive
Processing steps
Show progress through distinct steps so users understand what's happening.
18 examples inside
Explainability
Help users understand answers and recover gracefully when things go wrong.
Open Confidence indicators
PRO Exclusive
Confidence indicators
Showing how sure the AI is to help users gauge reliability, and understand the basis of the output.
Examples coming soon
Open Citations
PRO Exclusive
Citations
Showing how the AI constructed the answer (sources, references) to build user's trust.
13 examples inside
"Absolutely love the product and I use it at work to share with coworkers!"
🇺🇸Evangelinesince Jun 2025
Staff UX Designer at Palo Alto Networks
Refinement
Correction & Iteration
Tools for revising outputs — continue, retry, act inline, edit visually, or review results.
Open Inline actions
PRO Exclusive
Inline actions
Enabling edits on specific parts of textual content, leveraging existing mental models.
15 examples inside
Open Visual editing
PRO Exclusive
Visual editing
Enable users to refine visually and continuously, without back-and-forth prompts.
12 examples inside
Open Reply
PRO Exclusive
Reply
Continue the conversation to refine results with follow-up instructions.
2 examples inside
Regenerate
Request a fresh attempt with the same or tweaked prompt.
4 examples inside
Open Review
PRO Exclusive
Review
Allowing users to step through AI-suggested changes and refine them before finalizing.
3 examples inside
Learning
Managing memory
The system recalls, persists, or forgets context to support continuity and control.
Open Managing memory
PRO Exclusive
Managing memory
AI system remembers and recalls user context, or history to support continuity and personalization.
1 example inside
Collecting feedback
Collect feedback to improve outputs and personalize future interactions.
Open Collecting feedback
PRO Exclusive
Collecting feedback
Capturing quick sentiment on results to steer quality.
6 examples inside
Personalization
Adjust behavior, tone, and defaults to fit the individual user.
Personalization
Tailor tone, suggestions, and defaults based on user history and choices.
8 examples inside
"I genuinely found it really helpful while designing in a recent project!"
🇬🇧Manasi Agarwalsince May 2025
Senior Product Designer
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