How to Stop AI Slop in Production: A Two-Layer Validator for LLM Output

This week, a user reached out: their generated newsletter contained the word delve twice. Twice! Sound familiar? LLMs love those "smart" words, and they also love hallucinating facts. Time to put a stop to it.

Two-Layer Defense Against AI Slop

The solution described in the article builds on two levels of validation:

1. Layer 1 – syntactic and stylistic. Simple rules: forbidden words (delve, crucial, leverage), paragraph length checks, exclamation mark count. If the text looks like typical AI-generated – block or send for revision.

2. Layer 2 – semantic. Here we bring in NLP models: fact-checking (cross-references), sentiment, coherence. If the model "hallucinates" – the validator won't let it pass.

All of this can be implemented in JavaScript/TypeScript using libraries like compromise for NLP and custom rules. Example code from the article:

const forbiddenWords = ['delve', 'leverage', 'synergy'];
if (forbiddenWords.some(word => text.includes(word))) {
  throw new Error('AI slop detected');
}

METABYTE Studio's Comment

Content quality isn't just about SEO – it's about trust. If you use AI for text generation in your product, such a validator can save you from reputation damage. In our projects, we often implement similar filters so users see clean, useful content, not "AI slop."