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Built for fiction. Built for the human element.

The literary AI‑detector
that doesn't punish Hemingway.

Generic detectors flag minimalist prose as AI. Slopsleuth runs five audits calibrated specifically for fiction — tested against published human novels from 1895 to today. None falsely flagged.

“It was a good fight. Not bad. Just enough. He had not expected the boy to fight at all.”

— sentence patterns that perplexity-based detectors flag as AI. Slopsleuth doesn't.

Tested, not promised

Five published human novels.
None flagged as AI.

We ran public-domain literary fiction from 1895–1926 — Crane, Fitzgerald, Hemingway, Anderson — alongside a Claude-generated thriller written cold for benchmarking. The gap is reproducible.

Sample
Score
Verdict
The Great Gatsby
F. Scott Fitzgerald, 1925
0.0 /100
Within human range
Red Badge of Courage
Stephen Crane, 1895
0.0 /100
Within human range
The Sun Also Rises
Ernest Hemingway, 1926
7.0 /100
Light signals
Winesburg, Ohio
Sherwood Anderson, 1919
7.0 /100
Light signals
AI thriller (Claude)
Generated cold for benchmarking
23.0 /100
Elevated signals

Tested against revision slopsleuth-app-00014-fnp, public-domain text via Project Gutenberg. Methodology in our Hemingway analysis.

Three audiences

Built so real authors don't get killed by an algorithm.

🛡️

For authors

Audit your own draft before submission. Find the AI-prose tics you didn't know you'd absorbed — even if you wrote every word yourself. Your minimalist style won't be punished.

📚

For literary agents

Triage the slush pile with confidence. Defensible, transparent audits — every flag explained, every passage shown. No black-box percentage you can't defend in a rejection letter.

⚖️

For publishers

U.S. copyright law denies protection to AI-generated text. Catch hybrid manuscripts before contract — our voice-variance audit detects bimodal patterns whole-manuscript averages mask.

How it works

Five audits. Every flag is explainable.

No black-box statistical magic. Each audit measures a specific stylistic pattern documented in current AI prose, with thresholds calibrated against published human fiction.

AUDIT 01

Not-X Fragments

Hedge fragments like “Not because he was brave. Because his legs wouldn’t move.” The most common AI tell in modern fiction prose.

AUDIT 02

Body-Part Clusters

When the same body part (chest, jaw, throat) is hammered repeatedly within 10 paragraphs. AI reaches for physical anchors humans don’t.

AUDIT 03

Dialogue Texture

Real human dialogue is rough — fillers, restarts, mishearings. AI dialogue is unnaturally clean. We measure the absence.

AUDIT 04

Stock AI-Phrasings

“The way grief lives in objects.” “The kind of dead that meant…” Two constructions show 45–122× separation between AI and human prose.

AUDIT 05

Voice Variance

Per-chapter audit that detects hybrid manuscripts — half-human, half-AI. Bimodal patterns reveal the seams that whole-manuscript averages mask.

Why we exist

Generic detectors weren't built for fiction.

Perplexity-based detectors Fails on minimalism

Hemingway scored 73% AI

  • Trained on average internet text — minimalist prose looks "AI-like"
  • Single percentage score with no explanation
  • Cannot defend rejections — "73% AI" isn't actionable
  • Misses hybrid manuscripts — averages hide the seams
Slopsleuth Fiction-calibrated

Hemingway scored 7/100 — light signals

  • Calibrated against five published human novels (1895–1926)
  • Five transparent audits — every flag shown with the passage
  • Recommended-action panel — "Read normally" / "Read with scrutiny"
  • Voice-variance audit detects hybrid AI/human chapters

Pricing

Plans for writers, agents, and agencies.

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die at the gate.

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