One loop from failure to shipped fix
Self-Healing reviews every closed Shinobi conversation against a quality bar you define, clusters failures into issues, and turns what it finds into recommendations. Each one becomes a drafted change, a human approval and a shipped fix, so your Shinobi gets sharper every week.
Your bar, applied to every closed conversation
Write monitors the way you would brief a QA lead: mentions of frustration, promised something we do not offer, purchase intent. Self-Healing reviews 100% of closed conversations against them, AI and human handled alike. No sampling, no manual overhead.
Monitors are sentences
Flagging criteria are sentences you write, not regex to maintain. Self-Healing applies your intent in context, conversation by conversation.
No sampling, ever
Every closed conversation gets a review: a verdict per monitor, a note explaining it, and an overall score you can stand behind.
One bar for everyone
Human replies are held to the same criteria as the AI, so coaching conversations start from evidence, not opinion.
Failures cluster before they become incidents
Related failures group themselves into issues, ranked by severity and tracked from first sighting to resolved. When something breaks, you see one issue with the conversations behind it, not fifty separate alerts.
One issue, not fifty flags
Failures with the same root land in one issue with counts and the real conversations attached, so you see the shape of the problem.
Answer now, fix after
One click publishes an interim answer the agent uses immediately. When you resolve the issue, the interim answer retires itself.
Severity and state, always
Every issue carries its severity, status and last-seen time, so you always know what is still hurting and what is done.
Every recommendation is one approval from live
Recommendations come from real evidence: questions the agent could not answer, failed quality reviews and failed Training sims. Each one carries a Fix with Sensei button. Sensei reads the conversations behind the problem and drafts the exact change. You review it, edit it if you want, and approve. That approval is what ships it. Ask Sensei "what should we improve?" and it files ranked recommendations here too, or sweeps for them on a schedule.
Watch the loop work
A recently-fixed log shows what shipped and when. And because failed Training sims file recommendations here, you can re-run the sim after the fix and watch it pass. Find, fix, prove: that is the whole loop.