Overview
How might we design ai command history so people can trust and act on AI output?
When this pattern fits
- Ideal for power users, repetitive workflows, and applications where quick access to and replay of past AI commands improves productivity.
When to skip or lighten it
- Shared devices where history exposes private prompts.
- Retention policies requiring no local command storage.
- History with no way to delete sensitive entries.
States
State model coming soon
Key UX elements
Key UX elements coming soon
Anti-patterns to avoid
History that stores secrets in plain text with no redact.
Replay that reruns destructive tools without confirm.
Unbounded list with no search.
History separate from the composer with no insert action.
How products use it
| Product | Implementation |
|---|---|
| Terminal history | Up-arrow recall with query search in shells. |
| Command palettes | Recent commands section with rerun. |
| AI chat history | Thread list with fork and continue actions. |
| Automation tools | Run logs with edit-and-retry on failed steps. |
Implementation
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 "AI Command History" AI interface design pattern.
Pattern Definition:Frequently asked questions
What to store per entry?
Prompt, model, tools used, timestamp, outcome status, and link to output.
Replay vs duplicate thread?
Replay inserts into current context. Duplicate opens isolated copy.
AI command history vs ai-powered search?
History is temporal log. Search finds anything indexed, not only recent.
Team sharing?
Opt-in share of templates, not automatic publish of full history.