| 97.44% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "She sat back [back]" | | 1 | "Quinn said slowly [slowly]" |
| | dialogueSentences | 39 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.111 | | effectiveRatio | 0.103 | |
| 89.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1404 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "gently" | | 1 | "barely above a whisper" | | 2 | "slowly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 82.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1404 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "measured" | | 1 | "whisper" | | 2 | "etched" | | 3 | "dance" | | 4 | "calibrated" |
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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 | 1 | | narrationSentences | 112 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 112 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1396 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1067 | | uniqueNames | 15 | | maxNameDensity | 1.97 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 21 | | Camden | 1 | | Metropolitan | 1 | | Police | 1 | | Blitz | 1 | | Eva | 13 | | Kowalski | 1 | | Veil | 2 | | Market | 3 | | Vance | 1 | | British | 1 | | Museum | 1 | | Tube | 1 | | Wells | 2 | | Harlow | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Police" | | 2 | "Eva" | | 3 | "Kowalski" | | 4 | "Vance" | | 5 | "Wells" | | 6 | "Harlow" |
| | places | | | globalScore | 0.516 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 1 | | matches | | 0 | "symbols that seemed to shift when she tried to focus on them" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.716 | | wordCount | 1396 | | matches | | 0 | "not the compass rose she expected, but angular symbols" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 132 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 25.85 | | std | 20.37 | | cv | 0.788 | | sampleLengths | | 0 | 1 | | 1 | 72 | | 2 | 77 | | 3 | 2 | | 4 | 25 | | 5 | 57 | | 6 | 17 | | 7 | 29 | | 8 | 37 | | 9 | 6 | | 10 | 28 | | 11 | 14 | | 12 | 76 | | 13 | 14 | | 14 | 6 | | 15 | 25 | | 16 | 61 | | 17 | 3 | | 18 | 4 | | 19 | 20 | | 20 | 5 | | 21 | 13 | | 22 | 38 | | 23 | 10 | | 24 | 21 | | 25 | 37 | | 26 | 22 | | 27 | 45 | | 28 | 6 | | 29 | 27 | | 30 | 28 | | 31 | 8 | | 32 | 42 | | 33 | 46 | | 34 | 20 | | 35 | 13 | | 36 | 27 | | 37 | 53 | | 38 | 8 | | 39 | 1 | | 40 | 48 | | 41 | 48 | | 42 | 6 | | 43 | 1 | | 44 | 30 | | 45 | 11 | | 46 | 10 | | 47 | 51 | | 48 | 11 | | 49 | 48 |
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| 86.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 112 | | matches | | 0 | "been gutted" | | 1 | "been replaced" | | 2 | "been poured" | | 3 | "was clenched" | | 4 | "was etched" | | 5 | "been meant" | | 6 | "been extracted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 179 | | matches | | 0 | "wasn't crying" | | 1 | "were doing" |
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| 12.99% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 2 | | flaggedSentences | 6 | | totalSentences | 132 | | ratio | 0.045 | | matches | | 0 | "Harlow Quinn felt it hit her skin—a drop in pressure that made her ears pop, a shift from the dry grit of the abandoned Camden platform into something damp and close, like breathing through a wet cloth." | | 1 | "The illegal lights strung along the archway ceiling were the only illumination—gas jets fed by some source she didn't want to think about, coughing out a pale amber glow that threw distorted shadows in every direction." | | 2 | "The abandoned Tube station had been gutted and repurposed—the ticket booth was now a stall selling preserved organs in formaldehyde; the bench where commuters once waited had been replaced by a display of iron cages containing things that clicked and scratched in the dark." | | 3 | "She pulled a pen from her pocket—didn't want to contaminate the scene with gloved hands yet—and used it to gently lift the edge of the victim's jacket." | | 4 | "Its face was etched with sigils—not the compass rose she expected, but angular symbols that seemed to shift when she tried to focus on them." | | 5 | "\"But that one's damaged. The needle shouldn't spin like that; it means something's interfering with the reading. A massive concentration of energy nearby.\"" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1081 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.01942645698427382 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0074005550416281225 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 10.57 | | std | 8.43 | | cv | 0.798 | | sampleLengths | | 0 | 9 | | 1 | 37 | | 2 | 26 | | 3 | 7 | | 4 | 34 | | 5 | 36 | | 6 | 2 | | 7 | 6 | | 8 | 19 | | 9 | 9 | | 10 | 4 | | 11 | 7 | | 12 | 23 | | 13 | 7 | | 14 | 3 | | 15 | 4 | | 16 | 9 | | 17 | 8 | | 18 | 20 | | 19 | 9 | | 20 | 4 | | 21 | 21 | | 22 | 8 | | 23 | 4 | | 24 | 6 | | 25 | 14 | | 26 | 14 | | 27 | 4 | | 28 | 10 | | 29 | 12 | | 30 | 44 | | 31 | 20 | | 32 | 14 | | 33 | 6 | | 34 | 13 | | 35 | 12 | | 36 | 20 | | 37 | 20 | | 38 | 11 | | 39 | 10 | | 40 | 3 | | 41 | 4 | | 42 | 4 | | 43 | 10 | | 44 | 6 | | 45 | 5 | | 46 | 13 | | 47 | 2 | | 48 | 27 | | 49 | 4 |
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| 52.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3560606060606061 | | totalSentences | 132 | | uniqueOpeners | 47 | |
| 34.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 97 | | matches | | 0 | "Instead, it had led him" |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 97 | | matches | | 0 | "She ducked under the crime" | | 1 | "She turned, keeping her hands" | | 2 | "Her green eyes were red-rimmed" | | 3 | "She'd been crying." | | 4 | "She wasn't crying now." | | 5 | "She studied the woman's face," | | 6 | "She filed the name away" | | 7 | "She knelt, ignoring the creak" | | 8 | "He lay on his back," | | 9 | "His eyes were open, fixed" | | 10 | "It was recognition." | | 11 | "She'd followed at a distance," | | 12 | "She pulled a pen from" | | 13 | "She rolled the pen along" | | 14 | "She sat back on her" | | 15 | "Her breath came quick and" | | 16 | "she said, pointing" | | 17 | "They'd burned down to stubs," | | 18 | "His expression resigned, almost peaceful." | | 19 | "She walked the perimeter of" |
| | ratio | 0.299 | |
| 11.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 97 | | matches | | 0 | "The air changed ten feet" | | 1 | "Harlow Quinn felt it hit" | | 2 | "The Metropolitan Police had given" | | 3 | "She ducked under the crime" | | 4 | "The fiberglass barricades the patrol" | | 5 | "The illegal lights strung along" | | 6 | "The voice came from her" | | 7 | "She turned, keeping her hands" | | 8 | "Quinn had read the file" | | 9 | "Aurora Vance's oldest friend." | | 10 | "Occult research assistant at the" | | 11 | "Her green eyes were red-rimmed" | | 12 | "She'd been crying." | | 13 | "She wasn't crying now." | | 14 | "Quinn stopped a respectful three" | | 15 | "Eva's voice carried a tremor" | | 16 | "Quinn let that land." | | 17 | "She studied the woman's face," | | 18 | "The girl was scared, but" | | 19 | "That counted for something." |
| | ratio | 0.897 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 6.80% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 8 | | matches | | 0 | "Harlow Quinn felt it hit her skin—a drop in pressure that made her ears pop, a shift from the dry grit of the abandoned Camden platform into something damp and …" | | 1 | "The Metropolitan Police had given her a search warrant and a pair of constables who wouldn't meet her eyes, but they hadn't prepared her for this." | | 2 | "The fiberglass barricades the patrol boys had set up looked absurd down here, their bright yellow struts garish against the black-painted brick walls and the co…" | | 3 | "The illegal lights strung along the archway ceiling were the only illumination—gas jets fed by some source she didn't want to think about, coughing out a pale a…" | | 4 | "The abandoned Tube station had been gutted and repurposed—the ticket booth was now a stall selling preserved organs in formaldehyde; the bench where commuters o…" | | 5 | "Stalls lined both walls, their wares hidden under tarps or behind glass cases that reflected the gaslight in uneven shards." | | 6 | "Bastian Wells was a man in his fifties, dressed in a suit that had cost more than Quinn's monthly salary." | | 7 | "The object that fell into the salt ring was small and verdigris-green." |
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| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva said, her voice sharp" |
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| 98.72% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn muttered (mutter)" | | 1 | "she repeated (repeat)" |
| | dialogueSentences | 39 | | tagDensity | 0.179 | | leniency | 0.359 | | rawRatio | 0.286 | | effectiveRatio | 0.103 | |