Suggestions
Suggestions help reduce friction:
- Staring at a blank input box can be intimidating, especially if it’s someone’s first time using AI. Suggestions give users a low-pressure way to get going.
- Seeing examples sparks ideas about what’s possible – and sometimes reveals capabilities they didn’t even know were there.
- In most cases the examples aren’t random – they’re usually crafted to show the kinds of questions that lead to great results, subtly teaching people how to ask better.

Booking provides users with quick suggestions based on the most common requests. Suggestions trigger messages, user can't edit messages before sending.

Reddit Answers provides users with quick suggestions based on the most common requests. Suggestions trigger messages, user can't edit messages before sending.

GitHub Copilot provides users with quick suggestions based on the most common requests. Suggestions trigger messages, user can't edit messages before sending.

Microsoft Copilot provides users with quick suggestions that fill the text area and give them the ability to add all the necessary details.

Lovable provides users with quick suggestions that fill the text area and give them the ability to add all the necessary details. As you can see, the suggestion chips are short, but when a user clicks on one, it fills the text area with an extended suggestion.

Perplexity provides users with autocomplete suggestions that dynamically update as the user types their request.
AI patterns checklist
PDF, 220 MB





