---
title: How copywriting evaluation works
description: Two co-equal gates — TRUE∧ACCURATE and EASY∧PLEASANT to read — enforced by adversarial screening, evidence-anchored judging and an editor-grade reading rubric.
locale: en
version: 0.2.0
canonical: https://enterium-developer-docs.pages.dev/developers/how-it-works/copy-evaluation/
---

> Documentation index: https://enterium-developer-docs.pages.dev/developers/llms.txt — every page of this portal has a Markdown twin at <route>.md; the frozen API contract is at https://enterium-developer-docs.pages.dev/developers/api/openapi.json.

**The problem:** "is this article good?" hides two independent questions —
*is it true* and *is it worth reading* — and optimizing either alone
produces failure: accurate-but-unreadable, or delightful fabrication. The
platform's doctrine makes them **two co-equal gates**: an article ships
only in the top-right quadrant.

```mermaid
quadrantChart
    title The two co-equal gates
    x-axis Hard to read --> Easy and pleasant
    y-axis Fabricated --> True and accurate
    quadrant-1 Ships
    quadrant-2 Rewrite style
    quadrant-3 Reject
    quadrant-4 Fix the facts
```

## Layer 1 — the truth gate

Fabrication hunting is adversarial: strip every claim, then try to ground
each one. Four grounding classes are accepted — a real source URL from
the article's own research bundle, persona facts from the author's bio,
brand specifics from the company's declared profile, and
reviewer-confirmable textbook knowledge of the niche. Everything else is
a fabrication finding. The class list exists because each one was once a
false positive that burned review time — codifying them made the hunt
repeatable.

## Layer 2 — the readability gate

Readability is judged by a structured **editor-grade reading rubric** —
an actual read-through scored on defined axes, not a proxy metric. It is
deliberately *not* an LLM score: cheap LLM judges measurably
anti-correlated with human quality ratings on this workload (see
[Quality gates](../quality-gates/)), so the reading gate stayed human-
calibrated. An anti-template battery backs it mechanically: banned
AI-vocabulary replacements, banned heading shapes ("Core concepts behind
X…"), and a corpus-level twin-similarity pass that catches articles
converging on the same skeleton.

## Layer 3 — evidence-anchored judging, where LLM opinion is used at all

Where an LLM verdict participates (as advisory signal, never as the
gate), it is structurally constrained: a locked 0/1/2 rubric per
category, a **verbatim quote required for any non-zero score** — checked
mechanically as a substring — multiple samples with a median, and a judge
from a different model family than the writer. A judge that cannot cite
cannot praise. The full formal judge (with human-set calibration) remains
an analytics instrument: its calibration study is not finished, so it has
not earned gate status — a deliberate application of the platform's own
"deterministic decides, LLM advises" doctrine to itself.

## Layer 4 — after publication

Every published article carries a quality stamp computed from the
deterministic automatic categories (structure, AI-marker absence,
technical SEO) minus defect penalties — brand-safety hits flip the
*verdict*, not the number, so a beautiful article that promotes the wrong
brand fails loudly rather than averaging out. The designed next phase —
a "rising tide" that re-enriches old articles as the research corpus
matures — is on the roadmap, not yet built.

## Trade-offs

Human-calibrated reading gates do not scale like a metric — that is the
accepted cost of the measured anti-correlation result. And the two-gate
doctrine means an article can loop: fixed facts can degrade flow, style
rewrites can drift facts; the loop converges because each gate re-checks
after the other's edit, but convergence costs iterations.

## See it in two minutes

Any article's quality stamp and signal battery are readable through the
API (`quality` domain); the anti-template ban lists live in the
generation pipeline's version directory — versioned like everything else.