MOPZA26 Online · October 21–22, 2026
Who Changed That?
An AI Watchdog for Risky Changes Across Your Stack
An AI watchdog that reads your audit logs, flags risky changes, and alerts your team before the damage spreads.
Build the watchdog
Flows, system prompt, scoring rubric, and lessons learned. Everything you need to get started.
Read the build notesSession slides
The deck from Mopza26, with the architecture, examples, and takeaways from the session.
Download slides (PDF, 847 KB)Watch on Mopza26 Attendee access required
How it works
- 01 / Read
Read the audit log
Pick up the changes your platform already records.
- 02 / Assess
Assess the risk
Use a reasoning layer and a rubric to flag what matters.
- 03 / Alert
Alert the team
Send risky changes to the channel your team already uses.
A separate volume monitor catches spikes the AI might miss.
Why I built it
A four-second CRM change triggered 8,400 bad MQL notifications. Finding the cause took most of a day. This is the system I built to close that gap.
Want more? I send one email a month: recent posts and interesting links.
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