AI Health Monitor.
Know when your AI fails
This is for you if...
Your AI is running. You have no idea if it is doing its job.
You found out your AI was producing wrong answers when a customer complained.
Your dashboard shows green. But green means running, not correct.
You have logs. Logs tell you what happened, not whether it was right.
Your AI has been live for months and you have never actually measured its output quality.
What you get
Every AI workflow, audited.
A live dashboard of what your AI is doing.
Alerts that fire before clients notice.
A plain-language trail of what your AI read and did.
A runbook for when something goes wrong.
It works.
Series A startup // FoodTech
A FoodTech startup building AI marketing agents for hospitality operators launched without any monitoring in place. They had no visibility into whether the agents were working: not just technically, but whether users were actually achieving what they came for. Posting content, growing engagement, getting direct bookings. All 30 early customers churned silently before anyone understood why. We defined a product analytics framework with clear metric definitions for every agent and set up lightweight PostHog-based monitoring. The second launch kept customers.
Key Results
- Failure modes surfaced across 20+ agents
- Debugging time reduced by 60%
- User outcome achievement improved by 22%
