Dynamic follow-ups is an AI UX pattern that surfaces contextually relevant next questions as clickable chips after a response. Instead of requiring users to think of what to ask next, the AI suggests 2-4 logical continuations based on the current answer, reducing cognitive load and guiding deeper exploration of a topic.
Ideal for search engines, conversational AI tools, and discovery applications where suggesting follow-up questions guides user exploration and improves engagement.
| Product | Implementation |
|---|---|
| Perplexity | Related questions appear below each answer, generated from the answer's content. |
| Bing Copilot | Suggested follow-up prompts sit under the response as tappable chips. |
| Google AI Overviews | "People also ask"-style follow-ups extend the search session contextually. |
| ChatGPT | Contextual suggested replies occasionally appear after certain response types. |
Copy this prompt to generate a production-ready implementation in Cursor, Claude Code, Lovable, or any AI coding agent.
Generate a production-ready implementation of the "Dynamic Follow-ups" AI interface design pattern.
Pattern Definition:Dynamic follow-ups are clickable chips shown after an AI response that suggest logical next questions based on what was just answered, letting users continue exploring a topic with one tap instead of typing a new prompt.
Prompt starters appear on an empty screen to help users begin a conversation. Follow-up chips appear after a response and are generated from that specific answer, so they extend an existing thread rather than starting one.
Yes, generic suggestions that ignore the answer's content quickly feel like filler and get ignored. The suggestions should read as a natural next question a curious reader of that exact answer would ask.
Switch between AI capabilities within composer
Adding context sources via menu with removable chips
Switch between text, voice, and dictation modes
Suggested next turns
Cmd+K for AI
Reference files via @