| 86.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 3 | | adverbTags | | 0 | "Eva gestured vaguely [vaguely]" | | 1 | "Quinn turned back [back]" | | 2 | "Quinn walked around [around]" |
| | dialogueSentences | 53 | | tagDensity | 0.396 | | leniency | 0.792 | | rawRatio | 0.143 | | effectiveRatio | 0.113 | |
| 92.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1415 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 61.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1415 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "silence" | | 1 | "echoed" | | 2 | "cataloged" | | 3 | "disrupt" | | 4 | "encounter" | | 5 | "weight" | | 6 | "chaotic" | | 7 | "mechanical" | | 8 | "tracing" |
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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 | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 85 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1406 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 872 | | uniqueNames | 9 | | maxNameDensity | 3.1 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Harlow | 1 | | Quinn | 27 | | Evans | 1 | | Kowalski | 1 | | Morris | 2 | | Clutched | 1 | | North | 1 | | Eva | 18 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Evans" | | 3 | "Kowalski" | | 4 | "Morris" | | 5 | "Eva" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.711 | | wordCount | 1406 | | matches | | 0 | "not back toward the street, but deeper into the tunnel" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 28.12 | | std | 18.93 | | cv | 0.673 | | sampleLengths | | 0 | 86 | | 1 | 42 | | 2 | 4 | | 3 | 26 | | 4 | 24 | | 5 | 29 | | 6 | 59 | | 7 | 62 | | 8 | 32 | | 9 | 41 | | 10 | 2 | | 11 | 42 | | 12 | 38 | | 13 | 33 | | 14 | 11 | | 15 | 2 | | 16 | 28 | | 17 | 34 | | 18 | 37 | | 19 | 16 | | 20 | 12 | | 21 | 27 | | 22 | 3 | | 23 | 45 | | 24 | 22 | | 25 | 53 | | 26 | 22 | | 27 | 19 | | 28 | 31 | | 29 | 59 | | 30 | 8 | | 31 | 39 | | 32 | 4 | | 33 | 1 | | 34 | 25 | | 35 | 29 | | 36 | 15 | | 37 | 69 | | 38 | 15 | | 39 | 7 | | 40 | 23 | | 41 | 57 | | 42 | 16 | | 43 | 11 | | 44 | 30 | | 45 | 24 | | 46 | 27 | | 47 | 39 | | 48 | 5 | | 49 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 85 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 161 | | matches | | 0 | "wasn't finding" | | 1 | "wasn't finding" |
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| 45.18% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 117 | | ratio | 0.034 | | matches | | 0 | "She tucked a frantic curl of red hair behind her left ear—a nervous tic Quinn had cataloged three meetings ago." | | 1 | "\"And this 'magic circle.' The break in the line is outward. He didn't fall through it; he kicked it apart as he went down. But look at the distribution of the salt.\"" | | 2 | "She grabbed Eva’s arm—gently but firm enough to pull her out of her occult reverie—and directed the researcher’s gaze to the floor." | | 3 | "The darkness ahead wasn't just an absence of light; it was a physical barrier, swirling with a low, thrumming energy that made the hair on her arms stand up." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 879 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tiny, high-powered magnet," |
| | adverbCount | 21 | | adverbRatio | 0.023890784982935155 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006825938566552901 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 12.02 | | std | 8.66 | | cv | 0.721 | | sampleLengths | | 0 | 20 | | 1 | 24 | | 2 | 20 | | 3 | 22 | | 4 | 9 | | 5 | 2 | | 6 | 24 | | 7 | 7 | | 8 | 4 | | 9 | 7 | | 10 | 3 | | 11 | 16 | | 12 | 24 | | 13 | 17 | | 14 | 12 | | 15 | 20 | | 16 | 20 | | 17 | 19 | | 18 | 4 | | 19 | 6 | | 20 | 17 | | 21 | 15 | | 22 | 20 | | 23 | 11 | | 24 | 10 | | 25 | 11 | | 26 | 13 | | 27 | 8 | | 28 | 20 | | 29 | 2 | | 30 | 20 | | 31 | 22 | | 32 | 3 | | 33 | 3 | | 34 | 21 | | 35 | 11 | | 36 | 16 | | 37 | 13 | | 38 | 4 | | 39 | 4 | | 40 | 7 | | 41 | 2 | | 42 | 8 | | 43 | 5 | | 44 | 4 | | 45 | 11 | | 46 | 11 | | 47 | 23 | | 48 | 5 | | 49 | 21 |
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| 64.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4188034188034188 | | totalSentences | 117 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 84.94% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 77 | | matches | | 0 | "She checked the leather watch" | | 1 | "Her partner, a green constable" | | 2 | "She swung the beam toward" | | 3 | "She tucked a frantic curl" | | 4 | "She stepped closer to the" | | 5 | "He lay on his back," | | 6 | "She crouched, military bearing stiff" | | 7 | "She pointed to the wall" | | 8 | "She hated this." | | 9 | "She hated the certainty in" | | 10 | "It wasn't finding anything." | | 11 | "It whipped around in a" | | 12 | "She looked from the spinning" | | 13 | "She walked to the tiled" | | 14 | "She brought it to her" | | 15 | "She grabbed Eva’s arm—gently but" | | 16 | "She knelt by the victim's" | | 17 | "She thrust the flashlight into" | | 18 | "She looked up, her brown" | | 19 | "She forced the fingers open." |
| | ratio | 0.338 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 77 | | matches | | 0 | "Water dripped from the curved" | | 1 | "The air down here sat" | | 2 | "Detective Harlow Quinn stepped over" | | 3 | "Shadows stretched and recoiled against" | | 4 | "She checked the leather watch" | | 5 | "Her partner, a green constable" | | 6 | "This deep down, Quinn preferred" | | 7 | "The voice echoed from the" | | 8 | "Quinn didn't flinch." | | 9 | "She swung the beam toward" | | 10 | "Eva Kowalski shielded her eyes" | | 11 | "Quinn lowered the light, letting" | | 12 | "Eva stood up, brushing dirt" | | 13 | "She tucked a frantic curl" | | 14 | "Quinn ignored the warning." | | 15 | "She stepped closer to the" | | 16 | "A man, mid-thirties, dressed in" | | 17 | "He lay on his back," | | 18 | "Quinn noted, voice flat" | | 19 | "She crouched, military bearing stiff" |
| | ratio | 0.922 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "A man, mid-thirties, dressed in the sort of nondescript grey hoodie that helped people vanish in crowds." | | 1 | "She hated the certainty in the younger woman's voice, the same delusional confidence that had gotten Morris killed three years ago." | | 2 | "The darkness ahead wasn't just an absence of light; it was a physical barrier, swirling with a low, thrumming energy that made the hair on her arms stand up." | | 3 | "She moved forward, the darkness swallowing her silhouette, leaving Eva alone with the dead man and the lie he’d died in." |
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| 5.95% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 5 | | matches | | 0 | "Quinn noted, voice flat" | | 1 | "Eva adjusted, her fingers trembling slightly" | | 2 | "Quinn walked around, her shadow long and distorted" | | 3 | "Eva protested, though her voice lost some of its airy certainty" | | 4 | "Quinn said, her voice dropping to a dangerous growl" |
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| 36.79% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 6 | | fancyTags | | 0 | "Quinn noted (note)" | | 1 | "Eva whispered (whisper)" | | 2 | "Eva protested (protest)" | | 3 | "Quinn muttered (mutter)" | | 4 | "Eva hissed (hiss)" | | 5 | "Eva warned (warn)" |
| | dialogueSentences | 53 | | tagDensity | 0.189 | | leniency | 0.377 | | rawRatio | 0.6 | | effectiveRatio | 0.226 | |