Overview
Footprints
Activity history and audit trail of AI interactions
historyaudittrail
Docs
Footprints provide a chronological record of AI interactions — what was asked, what was generated, which model was used, and when. This audit trail serves multiple purposes: users can revisit past conversations, learn from previous prompts, track their usage patterns, and maintain accountability. For teams, footprints enable collaboration by making AI usage transparent across members.
Variants
- Timeline view — A chronological list of interactions with timestamps, showing the flow of AI usage over time.
- Table view — A structured table with sortable columns for action, model, timestamp, and token usage, suited for power users.
- Compact feed — A condensed activity feed showing recent interactions with expandable details, optimized for sidebar placement.
Use Cases
- Personal AI usage tracking and prompt history
- Team audit trails for compliance and accountability
- Debugging by reviewing the sequence of AI interactions
- Usage analytics for optimizing AI costs and patterns
- Onboarding new team members by sharing interaction history
Best Practices
- Show timestamps in a human-friendly format (relative for recent, absolute for older).
- Include input and output previews so users can scan without opening each entry.
- Support filtering by model, date range, and action type.
- Provide a 'Clear history' option with appropriate confirmation.
- Allow clicking into any entry to view the full interaction details.