Problem
An empty message field does not explain what an assistant can help with. New users have to guess what to ask.
Solution
Show a few specific, useful requests that match the assistant’s capabilities. Selecting one should fill the message field so people can review or change it before sending.
Where appropriate, tailor suggestions to the open document or current task. Only suggest actions the assistant can perform with the access it has.
Keep the list short and make clear that these are examples. Reduce their prominence for returning users, and update them when capabilities change.
Use when
The assistant’s purpose or available actions are not obvious to someone starting a conversation.
Don’t use when
The assistant is invoked on a selection or from a command with an obvious object. Someone who highlighted a paragraph and pressed the assist key already knows what they’re asking about, and a list of unrelated suggestions gets in the way of the thing they meant to do.
Trade-offs
Examples help people begin but can make the assistant seem limited to the listed tasks. Personalized suggestions require access to the current work. Outdated starters can promise actions the product no longer supports.
Checklist
- Do the examples show what this assistant does better than a general one?
- Are they specific enough to be believable, or are they placeholders?
- Do they fill the composer or fire immediately?
- Are there three or four, or a grid that reads as a menu?
- Do they use the viewer’s actual context when context is available?
- What generates them, and does that involve reading the viewer’s content?
- Do they get out of the way for a returning user?
- Who owns updating them when the product gains a capability?
- Is a starter reachable and readable from the keyboard?
- Does clicking one leave the viewer able to edit before sending?
Compare
ChatGPT uses a small rotating set on the empty state and lets a click populate the composer for editing, so the example stays a starting point instead of a command. Claude leans on its project context, so the suggestions on an empty conversation inside a project are about that project’s material rather than about the product in general. Notion offers its starters at the cursor inside a page, where the options are edits to the thing being written and the context is unambiguous. Perplexity replaces starters with live example queries drawn from what people are searching right now. It teaches the shape of a good question and doubles as a browse surface.
Related
First-run state provides the surrounding introduction. Composer receives the selected prompt. Command menu serves people who know which action they want.
Inline assist can suggest requests for selected content. Refusal should not be the routine result of following a suggested prompt.