Nolina

EVIDENCE RIGHTS

The source determines what the message may claim.

A signal can make an account worth examining without proving every sentence a seller wants to write. Nolina attaches explicit language rights to the evidence before a draft reaches execution.

THE OPERATING FAILURE

Personalization becomes fiction when inference quietly turns into fact.

Behavioral evidence, company-level events, and ICP fit support different kinds of language. Nolina preserves that difference rather than collapsing everything into an opaque intent score.

PRODUCT CONTRACT

One model, enforced at every decision boundary.

The controls below are product behavior, not a checklist an operator must remember to rebuild in every campaign.

01

Preserve provenance

Keep source URL, quote, observed date, entity, and freshness together.

A reviewer can inspect the basis of the claim.
02

Separate evidence types

Distinguish what a person said, what happened at the company, and what is only inferred.

Specificity is earned by the source, not generated by confidence.
03

Support the no-signal path

Allow strong-fit accounts without pretending a fresh event exists.

Audience-led messages stay at the role and problem level.
04

Block unsupported language

Check the draft against the rights granted by its evidence.

Unsupported event claims are rewritten or held for review.
01VerifiedSource, entity, freshness
02ApprovedClaim and buyer allowed
03ClaimedOne send reserved
04SentProvider outcome recorded
05RepliedNext action classified
Suppressed → stopUnknown send → reconcileAmbiguous reply → review

WHAT TO MEASURE

Judge the workflow by outcomes and guardrails.

  • Source-backed message claims
  • No fabricated buying events
  • Reviewable evidence lineage
  • Separate signal and audience automation lanes

A STRONG FIT WHEN

Your outbound motion has something valuable to protect.

  • AI-generated copy needs a review standard
  • Signals come from several sources
  • Sellers need to see why an opener is permitted
  • The market is sensitive to fabricated personalization

RUN A REAL SEGMENT

See how this operating model behaves on your market.

Define the target segment, evidence rules, channel, exclusions, and success measure before execution begins.

Request a pilot scope