Hot Spot Regions for Auto-Approval
This feature is no longer part of Vizzly.
Dynamic content got you down? Vizzly now learns which areas of your screenshots change frequently – timestamps, avatars, ad banners – and turns them into review candidates. The system uses honeydiff's cluster analysis to detect candidates, then you confirm which ones are legitimate hot spots. Once confirmed, future comparisons can auto-approve when all meaningful changes stay inside those trusted regions, with a clear audit trail showing exactly why.
What’s new
- ✓ Automatic hot spot detection from honeydiff cluster analysis
- ✓ Confirmation workflow: candidate → confirmed/rejected
- ✓ 2D bounding box matching for accurate region detection
- ✓ Progressive learning from your approval patterns
- ✓ Clear audit trail showing approval source (manual, cascade, auto_hot_spot, auto_identical)
- ✓ Unapprove/unreject flows for mistake correction