| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.229 | | leniency | 0.457 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1323 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "carefully" | | 1 | "sharply" | | 2 | "suddenly" | | 3 | "slowly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 39.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1323 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "gloom" | | 1 | "glint" | | 2 | "fluttered" | | 3 | "echoing" | | 4 | "loomed" | | 5 | "tension" | | 6 | "etched" | | 7 | "familiar" | | 8 | "flicker" | | 9 | "pulse" | | 10 | "trembled" | | 11 | "whisper" | | 12 | "echo" | | 13 | "pulsed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 123 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 123 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 23 | | markdownWords | 26 | | totalWords | 1312 | | ratio | 0.02 | | matches | | 0 | "absence" | | 1 | "shoes" | | 2 | "blood" | | 3 | "dry" | | 4 | "used" | | 5 | "Unexplained circumstances." | | 6 | "beyond" | | 7 | "pulse" | | 8 | "quietly" | | 9 | "killed" | | 10 | "alive" | | 11 | "sound" | | 12 | "“Harlow, run.”" | | 13 | "rift" | | 14 | "movement" | | 15 | "hell" | | 16 | "hungry" | | 17 | "lunged" | | 18 | "fuck" | | 19 | "Now." | | 20 | "token" | | 21 | "invitation" | | 22 | "Come closer." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1080 | | uniqueNames | 8 | | maxNameDensity | 1.39 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Evans" | | discoveredNames | | Tube | 1 | | Harlow | 15 | | Quinn | 1 | | Constable | 1 | | Tom | 1 | | Evans | 13 | | Unexplained | 2 | | Morris | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Constable" | | 3 | "Tom" | | 4 | "Evans" | | 5 | "Morris" |
| | places | (empty) | | globalScore | 0.806 | | windowScore | 0.667 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 2 | | matches | | 0 | "as if reaching for something—or someone—just out of grasp" | | 1 | "looked like bone" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.762 | | wordCount | 1312 | | matches | | 0 | "Not from the tunnel, but from the shadows *beyond* it" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 22.24 | | std | 20.31 | | cv | 0.914 | | sampleLengths | | 0 | 68 | | 1 | 54 | | 2 | 58 | | 3 | 9 | | 4 | 66 | | 5 | 5 | | 6 | 7 | | 7 | 33 | | 8 | 6 | | 9 | 3 | | 10 | 39 | | 11 | 34 | | 12 | 62 | | 13 | 14 | | 14 | 77 | | 15 | 2 | | 16 | 33 | | 17 | 13 | | 18 | 4 | | 19 | 6 | | 20 | 22 | | 21 | 55 | | 22 | 3 | | 23 | 10 | | 24 | 33 | | 25 | 11 | | 26 | 25 | | 27 | 16 | | 28 | 12 | | 29 | 22 | | 30 | 6 | | 31 | 5 | | 32 | 43 | | 33 | 3 | | 34 | 46 | | 35 | 2 | | 36 | 58 | | 37 | 7 | | 38 | 3 | | 39 | 52 | | 40 | 8 | | 41 | 19 | | 42 | 9 | | 43 | 11 | | 44 | 23 | | 45 | 5 | | 46 | 39 | | 47 | 9 | | 48 | 30 | | 49 | 20 |
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| 99.56% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 123 | | matches | | 0 | "been drained" | | 1 | "been buried" |
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| 61.83% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 193 | | matches | | 0 | "were breathing" | | 1 | "were swallowing" | | 2 | "were coming" | | 3 | "was breathing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 149 | | ratio | 0.074 | | matches | | 0 | "The air in the abandoned Tube station was thick with the scent of damp concrete and something older—something that made the hairs on Harlow Quinn’s arms prickle." | | 1 | "It lay sprawled near the platform’s edge, one arm outstretched as if reaching for something—or someone—just out of grasp." | | 2 | "The beam of her torch played over the man’s face—pale, eyes wide and glassy, lips parted in a silent scream." | | 3 | "The graffiti here was different—symbols, not tags." | | 4 | "Like something from a dream she’d had as a child—something she’d tried to forget." | | 5 | "For a second, she thought she saw—" | | 6 | "She’d seen one before—in DS Morris’s effects, locked in an evidence box she wasn’t supposed to open." | | 7 | "The needle spun wildly for a second, then locked onto the same direction—toward the darkness at the end of the tunnel." | | 8 | "And then—" | | 9 | "A *rift*—a jagged tear in the air, edges shimmering like oil on water." | | 10 | "She dumped the contents onto the floor—cards, a few crumpled bills, a photo of his kids." |
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| 89.70% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1091 | | adjectiveStacks | 1 | | stackExamples | | 0 | "illuminating graffiti-scarred walls" |
| | adverbCount | 49 | | adverbRatio | 0.044912923923006415 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.011915673693858845 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 8.81 | | std | 6.2 | | cv | 0.704 | | sampleLengths | | 0 | 27 | | 1 | 19 | | 2 | 22 | | 3 | 12 | | 4 | 18 | | 5 | 18 | | 6 | 6 | | 7 | 19 | | 8 | 15 | | 9 | 11 | | 10 | 2 | | 11 | 11 | | 12 | 9 | | 13 | 12 | | 14 | 20 | | 15 | 16 | | 16 | 11 | | 17 | 1 | | 18 | 6 | | 19 | 5 | | 20 | 4 | | 21 | 3 | | 22 | 17 | | 23 | 16 | | 24 | 6 | | 25 | 2 | | 26 | 1 | | 27 | 5 | | 28 | 17 | | 29 | 17 | | 30 | 17 | | 31 | 17 | | 32 | 12 | | 33 | 23 | | 34 | 7 | | 35 | 13 | | 36 | 7 | | 37 | 4 | | 38 | 10 | | 39 | 8 | | 40 | 9 | | 41 | 14 | | 42 | 6 | | 43 | 27 | | 44 | 11 | | 45 | 2 | | 46 | 1 | | 47 | 1 | | 48 | 7 | | 49 | 10 |
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| 49.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.35570469798657717 | | totalSentences | 149 | | uniqueOpeners | 53 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 104 | | matches | | 0 | "Too cold for a fresh" | | 1 | "Just the curve of the" | | 2 | "Then she saw it: a" | | 3 | "More like the echo of" | | 4 | "Then a hand clamped down" |
| | ratio | 0.048 | |
| 81.54% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 104 | | matches | | 0 | "Her torch cut a sharp" | | 1 | "She stepped carefully over the" | | 2 | "Her focus was on the" | | 3 | "It lay sprawled near the" | | 4 | "His tie was loose, his" | | 5 | "It was the *absence* of" | | 6 | "His skin had an odd," | | 7 | "She reached out, hesitated, then" | | 8 | "She didn’t look up." | | 9 | "She gestured with her torch." | | 10 | "She shifted the beam to" | | 11 | "She turned, sweeping her torch" | | 12 | "She ignored him, stepping closer" | | 13 | "Her fingers twitched at her" | | 14 | "She holstered her torch." | | 15 | "It twitched erratically, as if" | | 16 | "Her breath hitched." | | 17 | "She knew what this was." | | 18 | "She’d seen one before—in DS" | | 19 | "She tightened her grip on" |
| | ratio | 0.346 | |
| 46.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 104 | | matches | | 0 | "The air in the abandoned" | | 1 | "Her torch cut a sharp" | | 2 | "The crime scene tape fluttered" | | 3 | "She stepped carefully over the" | | 4 | "The other detectives milled about," | | 5 | "Her focus was on the" | | 6 | "It lay sprawled near the" | | 7 | "The victim was male, mid-thirties," | | 8 | "His tie was loose, his" | | 9 | "It was the *absence* of" | | 10 | "Harlow crouched, the knees of" | | 11 | "The beam of her torch" | | 12 | "His skin had an odd," | | 13 | "She reached out, hesitated, then" | | 14 | "She didn’t look up." | | 15 | "Detective Constable Tom Evans loomed" | | 16 | "She gestured with her torch." | | 17 | "She shifted the beam to" | | 18 | "Evans exhaled through his nose," | | 19 | "Harlow stood, rolling her shoulders" |
| | ratio | 0.827 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 6 | | matches | | 0 | "The air in the abandoned Tube station was thick with the scent of damp concrete and something older—something that made the hairs on Harlow Quinn’s arms prickle…" | | 1 | "The crime scene tape fluttered weakly in the draft that slithered up from the tracks, as if the tunnel itself were breathing." | | 2 | "It lay sprawled near the platform’s edge, one arm outstretched as if reaching for something—or someone—just out of grasp." | | 3 | "The victim was male, mid-thirties, dressed in a rumpled suit that had seen better days." | | 4 | "Three years ago, she’d stood in another tunnel, another crime scene, her partner’s body twisted in a way that defied physics, his eyes blackened like bruised fr…" | | 5 | "More like the echo of a voice, distorted, as if it were coming from underwater." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 92.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Harlow muttered (mutter)" | | 1 | "Harlow snapped (snap)" |
| | dialogueSentences | 35 | | tagDensity | 0.114 | | leniency | 0.229 | | rawRatio | 0.5 | | effectiveRatio | 0.114 | |