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 illustrative example.
The kind of structured output this module produces. The values shown are illustrative, not client results.
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.