Designing Better AI Chat: A Deep Dive (Part 2 of 2)
Citations, memory, thread navigation, export, and recovery patterns that turn AI chat from a demo into dependable infrastructure.
12 min
AI UX deep dives: patterns with demos
Long-form pattern essays with embedded demos: chat composers, trust stacks, agent autonomy, onboarding, visual AI controls, and product philosophy breakdowns.
Designing Better AI Chat: A Deep Dive (Part 1 of 2)
How to make AI chat interfaces clear, controllable, and trustworthy with proven UX patterns.
12 min
Claude vs ChatGPT: A Deep Dive into Composer Design Philosophy
Same technology, different visions. How ChatGPT and Claude's interface choices reveal competing philosophies about AI's future.
10 min
The Trust Stack: 7 Patterns That Make AI Feel Safe to Use
Capability doesn't equal adoption. Here are seven UX patterns that build trust through interface design itself.
7 patterns · 8 min
The AI Chat Interface Playbook: 5 Patterns Every Developer Should Know
Building a chat UI for your AI app? These patterns separate amateur interfaces from products people actually want to use.
5 patterns · 7 min
How Cursor Reinvented the AI Coding Experience: 5 UX Patterns Worth Stealing
Cursor isn't winning because of its AI. It's winning because of how that AI is surfaced.
5 patterns · 7 min
Designing for AI Agents: 6 UX Patterns for Autonomous Workflows
When AI goes from answering questions to taking actions, everything about interface design changes.
6 patterns · 8 min
Visual AI Made Intuitive: 5 Design Patterns from Midjourney, Figma, and Runway
Generative image AI is powerful. These patterns make it usable.
5 patterns · 6 min
Onboarding Users to AI: 5 Patterns That Reduce the Learning Curve
Users don't know what to ask. Here's how the best AI products teach them.
5 patterns · 6 min
Frequently asked questions
What is an AI UX deep dive?
Each deep dive explains a cluster of related interface patterns: how they work, when to use them, and what breaks in production. This hub includes 9 essays with embedded demos linked to the main pattern catalog.
How do deep dives relate to the pattern catalog?
Deep dives are narrative glue across multiple catalog patterns. A trust or chat essay connects five to seven patterns with product context; each demo links to a full pattern page with definition, anti-patterns, and examples.
Which deep dive should product teams read first?
Teams shipping chat should start with Designing better AI chat (parts 1 and 2). Teams adding autonomy or tools should read Designing for AI agents. Trust and safety work maps to The Trust Stack.