Humans teach the system what wins.
Every asset gets graded against a rubric your team built. Memory carries those judgments forward — so next week's content starts where this week's ended.
What goes in. What comes out.
A clean contract: real signals on the way in, structured artifacts on the way out. Every output traces back to its inputs.
- Rubric definitionCriteria + weights, owned by your team
- Sample library30+ approved + rejected examples
- Reviewer gradesPass / revise / reject + comments
- Performance signalsCTR, reply, conversion per asset
- Grade scorecardPer-asset score across rubric criteria
- Promotion decisionsAuto-promote when threshold + diversity met
- Memory diffWhat the system learned this week
- Brand voice profileLive model of approved language
An example, generated live.
This is the kind of structured output the module produces. Every value cites its source, every claim is graded for confidence.
Adapter-first. Sits next to what you already pay for.
The platform doesn't ask you to migrate. We ship adapters into the tools your team is already operating — read-only first, two-way when you're ready.
What this module is. What it isn't.
Audit-friendly bounds. We publish what's production-ready and clearly mark what isn't. No marketing-asterisk.
- Rubric is owned and editable by your team
- Every grade is logged and auditable
- Memory diffs reviewable before promotion
- Reviewer-level analytics (consistency, calibration)
- No black-box "AI scores"
- No autonomous rubric changes
- No memory writes without operator review
Stop publishing.
Start compounding.
See the system on your own data. Bring a campaign or a quarter of CRM — we'll show you the brief, the assets, the test plan, and what the loop would ship in week one in 30 minutes.