Know what the AI is worth to you.
See acceptance rate, edits after apply, time to decision and credit spend. The AI earns its keep in numbers you can check.
The AI's report card, kept by your workspace.
Credit budget at a glance
Your monthly allowance, what's spent, and what's left. No surprises at the end of the month.
Generated vs accepted
How many suggestions the AI produced, and how many were good enough for you to keep.
Edited-after-apply rate
When you accept but still rewrite, the AI wasn't close enough. This number tells you how often.
Decision breakdown
Accepted, edited, rejected, or still open. Every suggestion lands in exactly one bucket.
Time to decision and to save
Median time from suggestion to your call, and from your call to a saved change.
Credits per accepted suggestion
What a kept suggestion actually costs. It's the closest thing to a price per useful idea.
A loop that closes where it started.
Work normally
Accept, edit, or reject AI suggestions as part of your everyday catalog work.
Insights accrue
Every decision is counted: generated, accepted, edited, rejected, still open.
Read the breakdown
Review acceptance, edit rate, timing and credit spend at your own pace.
Tune your AI Context
If the numbers dip, adjust your AI Context. Better grounding means better suggestions.
Honest numbers, and only yours.
Counts, not content surveillance
Insights track decisions such as accepted, edited and rejected, never what your team writes or reads.
Your workspace only
Every number comes from your own catalog work. Nothing is pooled or compared across workspaces.
No vanity metrics
If acceptance drops, you'll see it. The point of the dashboard is a decision you can act on.
AI runs only when you ask
Suggestions are generated on request. No background AI touches your catalog, and no credits are spent without you.