> ## Documentation Index
> Fetch the complete documentation index at: https://docs.svrnos.com/llms.txt
> Use this file to discover all available pages before exploring further.

# GER-430 · Evaluator-Generator Entanglement

> The same AI vendor's models generate content and evaluate it, producing systematic bias toward their own output with no governance layer to detect or correct the conflict.

export const Badge = ({children, tone = "default", title}) => {
  const tones = {
    default: "bg-neutral-100 text-neutral-700",
    green: "bg-green-100 text-green-900",
    amber: "bg-amber-100 text-amber-900",
    blue: "bg-blue-50 text-blue-900",
    gray: "bg-neutral-50 text-neutral-600"
  };
  return <span className={`inline-flex items-center px-2 py-0.5 text-xs font-mono uppercase tracking-wider rounded ${tones[tone] ?? tones.default}`} title={title}>
      {children}
    </span>;
};

<div className="flex flex-wrap gap-2 mb-8 mt-2">
  <Badge tone="amber">Illustrative</Badge> <Badge>Tier 4xx</Badge> <Badge>Layer L6</Badge> <Badge tone="blue" title="SVRNOS-assigned code in an HTTP-unassigned slot">Namespace-Claim</Badge> <Badge tone="gray">Added v0.1</Badge>
</div>

*Operator / Platform Errors*

## Definition

The same AI vendor's models generate content and evaluate it, producing systematic bias toward their own output with no governance layer to detect or correct the conflict.

## Distinct from

* [**GER-318**](/ger/codes/318) — Operator mental model diverges from system actual state → this code. System internal model diverges from external truth → GER-318.

## Tags

`discrimination` · `hr-employment`

### Cite

```
SVRNOS. (2026). GER-430: Evaluator-Generator Entanglement. Governance Error Register. https://docs.svrnos.com/ger/codes/430
```