Overview
How might we design predictive type so people can trust and act on AI output?
When to use
- Perfect for email clients, messaging applications, and text input tools where predictive completions accelerate writing and reduce typing effort.
When to skip
- Secure fields (passwords, secrets) where prediction must never run.
- Legal or medical drafting that requires every character to be deliberate.
- Mobile keyboards where ghost text fights system autocomplete.
Rules
Auto-inserting completions without an explicit accept gesture.
Predictions that leak other users’ data into ghost text.
No easy dismiss, forcing users to fight the suggestion.
Completions that ignore the document’s established style.
Evidence
| Product | Implementation |
|---|---|
| Gmail | Smart Compose ghost text in email drafts. |
| GitHub Copilot | Inline code ghost text accepted with Tab. |
| Notion | AI write-ahead suggestions in docs. |
| Grammarly | Inline completion and rewrite hints while typing. |