| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "Ellis added quietly [quietly]" | | 1 | "she said softly [softly]" |
| | dialogueSentences | 20 | | tagDensity | 0.55 | | leniency | 1 | | rawRatio | 0.182 | | effectiveRatio | 0.182 | |
| 89.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 919 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | |
| | highlights | | |
| 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) | |
| 29.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 919 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "carried the weight" | | count | 1 |
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| | highlights | | 0 | "glinting" | | 1 | "measured" | | 2 | "scanning" | | 3 | "pristine" | | 4 | "etched" | | 5 | "flicked" | | 6 | "racing" | | 7 | "traced" | | 8 | "whisper" | | 9 | "carried the weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 51 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 60 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 908 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 85.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 701 | | uniqueNames | 10 | | maxNameDensity | 1.28 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Harlow | 9 | | Quinn | 1 | | Sergeant | 1 | | Ellis | 7 | | Lena | 4 | | Veil | 1 | | Compass | 1 | | Shade | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Ellis" | | 4 | "Lena" | | 5 | "Veil" | | 6 | "Compass" |
| | places | (empty) | | globalScore | 0.858 | | windowScore | 1 | |
| 84.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 908 | | matches | (empty) | |
| 55.56% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 60 | | matches | | 0 | "whispered that something" | | 1 | "sensing that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 33.63 | | std | 16.99 | | cv | 0.505 | | sampleLengths | | 0 | 61 | | 1 | 60 | | 2 | 36 | | 3 | 17 | | 4 | 52 | | 5 | 14 | | 6 | 45 | | 7 | 40 | | 8 | 21 | | 9 | 57 | | 10 | 39 | | 11 | 7 | | 12 | 16 | | 13 | 34 | | 14 | 36 | | 15 | 18 | | 16 | 8 | | 17 | 35 | | 18 | 73 | | 19 | 21 | | 20 | 30 | | 21 | 8 | | 22 | 43 | | 23 | 37 | | 24 | 30 | | 25 | 32 | | 26 | 38 |
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| 77.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 51 | | matches | | 0 | "been placed" | | 1 | "were etched" | | 2 | "been touched" | | 3 | "was fixed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 117 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 60 | | ratio | 0.183 | | matches | | 0 | "The air pulsated with that faint, unnatural hum she could never quite explain — the kind that made her skin crawl." | | 1 | "Ellis pulled out his phone, showing her the photo of the victim—a woman in her late twenties, dressed in a neat blazer and jeans, lying face down on the cracked concrete floor, eyes wide open in shock." | | 2 | "She made an unsettling, unnatural impression—more like a doll than a person." | | 3 | "The corpse was pristine, — no debris on her clothes, no signs of dirt or blood—yet she had clearly fallen or been placed here." | | 4 | "She turned her gaze toward the dark opening of the station’s entrance, then to the nearby alley where faint, cryptic symbols were etched into the bricks—symbols she recognized from her occult research, remnants of underground dealings or something darker." | | 5 | "Harlow’s eyes flicked to a small, smoking object near Lena’s outstretched hand—a bone token, definitely a part of the underground market’s strange barter system." | | 6 | "Then she saw it—the faint shimmer on the ground, barely perceptible in the flickering lamplight." | | 7 | "No signs of a struggle—no torn fabric, no scrapes—yet her hand rested near that bone token." | | 8 | "She moved her eyes to the nearby symbols, then to a faint tremor in the air—a whisper of something unnatural, almost like a ripple in a quiet pond." | | 9 | "Her hand instinctively went to her side, where her signature detective tool, the Veil Compass, rested inside her coat pocket—an odd, small brass instrument with face etched in sigils, crafted by a Shade artisan." | | 10 | "Ellis nodded, already dialing on his radio, but Harlow’s attention was fixed on the dark opening, her mind racing through what she knew—for now, the scene refused to give up its secrets." |
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| 84.82% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 713 | | adjectiveStacks | 1 | | stackExamples | | 0 | "pepper close-cropped hair." |
| | adverbCount | 36 | | adverbRatio | 0.05049088359046283 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.019635343618513323 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 60 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 60 | | mean | 15.13 | | std | 9.63 | | cv | 0.636 | | sampleLengths | | 0 | 17 | | 1 | 17 | | 2 | 27 | | 3 | 18 | | 4 | 42 | | 5 | 8 | | 6 | 12 | | 7 | 16 | | 8 | 5 | | 9 | 12 | | 10 | 16 | | 11 | 21 | | 12 | 15 | | 13 | 9 | | 14 | 5 | | 15 | 37 | | 16 | 8 | | 17 | 14 | | 18 | 14 | | 19 | 12 | | 20 | 7 | | 21 | 14 | | 22 | 14 | | 23 | 24 | | 24 | 19 | | 25 | 39 | | 26 | 7 | | 27 | 5 | | 28 | 11 | | 29 | 24 | | 30 | 5 | | 31 | 5 | | 32 | 15 | | 33 | 21 | | 34 | 7 | | 35 | 7 | | 36 | 4 | | 37 | 8 | | 38 | 4 | | 39 | 9 | | 40 | 16 | | 41 | 6 | | 42 | 28 | | 43 | 34 | | 44 | 11 | | 45 | 15 | | 46 | 6 | | 47 | 30 | | 48 | 3 | | 49 | 5 |
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| 68.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.45 | | totalSentences | 60 | | uniqueOpeners | 27 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 48 | | matches | | 0 | "Then she saw it—the faint" |
| | ratio | 0.021 | |
| 70.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 48 | | matches | | 0 | "He nodded toward the slick," | | 1 | "she said, voice measured, eyes" | | 2 | "She had learned to trust" | | 3 | "she said, voice low but" | | 4 | "She made an unsettling, unnatural" | | 5 | "She turned her gaze toward" | | 6 | "She knelt again, mind racing." | | 7 | "Her eyes traced a circular" | | 8 | "She stepped back, her sharp" | | 9 | "Her gaze moved to Lena’s" | | 10 | "She moved her eyes to" | | 11 | "Her hand instinctively went to" | | 12 | "She hesitated briefly, then pulled" | | 13 | "she said softly" | | 14 | "His eyes widened." | | 15 | "She crouched again, eyeing Lena’s" | | 16 | "Her gaze drifted to the" | | 17 | "Her jaw tightened." |
| | ratio | 0.375 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 48 | | matches | | 0 | "The battered black cab pulled" | | 1 | "Detective Harlow Quinn stepped out," | | 2 | "The damp night air clung" | | 3 | "He nodded toward the slick," | | 4 | "Harlow’s gaze lingered on the" | | 5 | "she said, voice measured, eyes" | | 6 | "Ellis hesitated, scratching his head." | | 7 | "Harlow flexed her fingers around" | | 8 | "The air pulsated with that" | | 9 | "She had learned to trust" | | 10 | "she said, voice low but" | | 11 | "Ellis pulled out his phone," | | 12 | "Harlow crouched beside the body," | | 13 | "The woman’s face was turned" | | 14 | "She made an unsettling, unnatural" | | 15 | "Ellis added quietly" | | 16 | "Harlow stood, scanning the area" | | 17 | "The corpse was pristine, —" | | 18 | "The ground beneath her was" | | 19 | "She turned her gaze toward" |
| | ratio | 0.875 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 48 | | matches | | 0 | "Because the evidence didn’t add" |
| | ratio | 0.021 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "Her eyes traced a circular pattern just centimeters from Lena’s body, as if some invisible boundary had been touched or crossed." | | 1 | "Ellis nodded, already dialing on his radio, but Harlow’s attention was fixed on the dark opening, her mind racing through what she knew—for now, the scene refus…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, voice measured, eyes narrowing" | | 1 | "she said, voice low but steady" | | 2 | "Ellis suggested, voice tentative" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "Ellis added quietly (add)" | | 1 | "she murmured (murmur)" | | 2 | "Ellis suggested (suggest)" | | 3 | "she ordered (order)" |
| | dialogueSentences | 20 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.5 | | effectiveRatio | 0.4 | |