AI Agent
Correcting The AI
How operator corrections and feedback improve AI behavior over time.
Every correction is a learning signal.
Draft feedback signals
When operators work with AI drafts, Ticket0 records one of three outcomes:
accepted: sent as-isedited: changed before sendrejected: dismissed
These signals are tied to each AI eval run and power quality metrics and nightly analysis.
In-chat corrections
In live chat, operators can flag/correct problematic AI responses. This feeds the same quality loop used by ticket drafts.
Customer thumbs feedback
Widget customers can leave thumbs up/down on AI messages.
- Positive feedback indicates good answer quality.
- Negative feedback helps prioritize sessions for quality review.
How corrections are used
Corrections feed:
- draft acceptance/edit/rejection analytics
- edit-pattern categorization insights
- team voice and resolution-pattern learning
- quality filtering in live chat views
Corrections improve future behavior at the workspace level. They do not retroactively rewrite already-sent replies.
Next: Monitoring AI quality.