| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.259 | | leniency | 0.519 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1198 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "sharply" | | 1 | "really" | | 2 | "slightly" | | 3 | "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) | |
| 37.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1198 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "shattered" | | 1 | "wavering" | | 2 | "unreadable" | | 3 | "flicked" | | 4 | "etched" | | 5 | "pulsed" | | 6 | "flicker" | | 7 | "pulse" | | 8 | "quickened" | | 9 | "tension" | | 10 | "rhythmic" | | 11 | "gloom" | | 12 | "stomach" | | 13 | "whisper" |
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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 | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 107 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 9 | | markdownWords | 9 | | totalWords | 1185 | | ratio | 0.008 | | matches | | 0 | "move" | | 1 | "placed" | | 2 | "nothing" | | 3 | "truth" | | 4 | "clicking" | | 5 | "safe" | | 6 | "breathe" | | 7 | "him" | | 8 | "summoning" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 989 | | uniqueNames | 7 | | maxNameDensity | 1.92 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 19 | | Morris | 1 | | Vexley | 7 | | Kowalski | 1 | | Eva | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Vexley" | | 4 | "Kowalski" | | 5 | "Eva" |
| | places | (empty) | | globalScore | 0.539 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 1 | | matches | | 0 | "as if searching for something just out of reach" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1185 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 127 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 23.7 | | std | 23.53 | | cv | 0.993 | | sampleLengths | | 0 | 69 | | 1 | 5 | | 2 | 94 | | 3 | 6 | | 4 | 16 | | 5 | 6 | | 6 | 33 | | 7 | 95 | | 8 | 49 | | 9 | 1 | | 10 | 34 | | 11 | 8 | | 12 | 35 | | 13 | 10 | | 14 | 13 | | 15 | 19 | | 16 | 11 | | 17 | 11 | | 18 | 26 | | 19 | 16 | | 20 | 17 | | 21 | 37 | | 22 | 94 | | 23 | 24 | | 24 | 3 | | 25 | 46 | | 26 | 20 | | 27 | 15 | | 28 | 12 | | 29 | 7 | | 30 | 29 | | 31 | 8 | | 32 | 7 | | 33 | 44 | | 34 | 17 | | 35 | 23 | | 36 | 14 | | 37 | 14 | | 38 | 10 | | 39 | 14 | | 40 | 43 | | 41 | 11 | | 42 | 5 | | 43 | 25 | | 44 | 10 | | 45 | 62 | | 46 | 3 | | 47 | 4 | | 48 | 4 | | 49 | 6 |
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| 69.19% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 11 | | totalSentences | 107 | | matches | | 0 | "was supposed" | | 1 | "been struck" | | 2 | "was wrapped" | | 3 | "been thrown" | | 4 | "were curled" | | 5 | "been *placed" | | 6 | "been treated" | | 7 | "was etched" | | 8 | "was supposed" | | 9 | "was supposed" | | 10 | "was supposed" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 187 | | matches | | 0 | "was, standing" | | 1 | "was, standing" | | 2 | "was holding" | | 3 | "was watching" | | 4 | "was growing" | | 5 | "was thinning was peeling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 127 | | ratio | 0.071 | | matches | | 0 | "The air in the abandoned Tube station reeked of damp concrete and something older—something that clung to the walls like a second skin." | | 1 | "She’d felt it too—the prickle at the back of her neck, the sudden drop in temperature, the way the shadows had seemed to *move*." | | 2 | "The victim—a man, mid-thirties, dressed in a tailored suit—lay sprawled on his back, arms splayed as if he’d been thrown." | | 3 | "The air hummed with something she couldn’t place—a low, almost imperceptible vibration, like the world itself was holding its breath." | | 4 | "And at the far end of the platform, where the tracks disappeared, there was a flicker—a distortion in the air, like heat rising off pavement, but colder." | | 5 | "A noise cut through the tension—a soft, rhythmic *clicking*, like bones tapping together." | | 6 | "And then she saw it—the way the shadows at the edges of the platform seemed to *breathe*, in and out, in and out, like lungs." | | 7 | "And then she saw *him*—a figure standing just on the other side, his form flickering in and out of focus." | | 8 | "But his hands—his hands were wrong." |
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| 98.29% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1001 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.04195804195804196 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.00999000999000999 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 9.33 | | std | 7 | | cv | 0.751 | | sampleLengths | | 0 | 23 | | 1 | 21 | | 2 | 25 | | 3 | 5 | | 4 | 17 | | 5 | 18 | | 6 | 35 | | 7 | 24 | | 8 | 5 | | 9 | 1 | | 10 | 9 | | 11 | 7 | | 12 | 3 | | 13 | 3 | | 14 | 19 | | 15 | 14 | | 16 | 8 | | 17 | 20 | | 18 | 5 | | 19 | 20 | | 20 | 23 | | 21 | 9 | | 22 | 10 | | 23 | 8 | | 24 | 10 | | 25 | 6 | | 26 | 12 | | 27 | 6 | | 28 | 7 | | 29 | 1 | | 30 | 3 | | 31 | 13 | | 32 | 18 | | 33 | 4 | | 34 | 4 | | 35 | 5 | | 36 | 30 | | 37 | 7 | | 38 | 3 | | 39 | 13 | | 40 | 4 | | 41 | 4 | | 42 | 4 | | 43 | 7 | | 44 | 6 | | 45 | 5 | | 46 | 11 | | 47 | 3 | | 48 | 6 | | 49 | 11 |
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| 39.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.29133858267716534 | | totalSentences | 127 | | uniqueOpeners | 37 | |
| 66.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 100 | | matches | | 0 | "Just official reports about a" | | 1 | "Too many fingers." |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 100 | | matches | | 0 | "She exhaled sharply, the memory" | | 1 | "She’d felt it too—the prickle" | | 2 | "She pushed the thought away." | | 3 | "It wasn’t the posture of" | | 4 | "It was the posture of" | | 5 | "She crouched, ignoring the way" | | 6 | "It was slick with something" | | 7 | "She reached out, her gloved" | | 8 | "She looked up." | | 9 | "she said, standing" | | 10 | "They saw too much." | | 11 | "They saw things that didn’t" | | 12 | "She turned back to the" | | 13 | "She wanted to lift the" | | 14 | "she said, keeping her voice" | | 15 | "She moved slowly, her boots" | | 16 | "She stopped at the edge" | | 17 | "She looked up." | | 18 | "They didn’t move like shadows" | | 19 | "They pulsed, like living things." |
| | ratio | 0.29 | |
| 40.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 100 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The station was supposed to" | | 3 | "DS Morris would’ve hated this." | | 4 | "She exhaled sharply, the memory" | | 5 | "She’d felt it too—the prickle" | | 6 | "She pushed the thought away." | | 7 | "A uniformed officer nodded at" | | 8 | "Quinn didn’t slow." | | 9 | "The officer pointed toward a" | | 10 | "The light cast long, wavering" | | 11 | "Quinn followed the direction, her" | | 12 | "The body was wrapped in" | | 13 | "The position was all wrong." | | 14 | "The victim—a man, mid-thirties, dressed" | | 15 | "It wasn’t the posture of" | | 16 | "It was the posture of" | | 17 | "She crouched, ignoring the way" | | 18 | "The ground beneath him was" | | 19 | "It was slick with something" |
| | ratio | 0.84 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 48.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 5 | | matches | | 0 | "The air in the abandoned Tube station reeked of damp concrete and something older—something that clung to the walls like a second skin." | | 1 | "Detective Harlow Quinn stepped over the yellow tape, her boots crunching on shattered glass that glinted under the flickering fluorescent lights." | | 2 | "The light cast long, wavering shadows that stretched like fingers across the cracked tiles." | | 3 | "The face was etched with sigils she didn’t recognize, and the needle spun wildly, as if searching for something just out of reach." | | 4 | "And then she saw *him*—a figure standing just on the other side, his form flickering in and out of focus." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice low," | | 1 | "Quinn said, her voice sharper than she intended" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "official reports (report)" |
| | dialogueSentences | 27 | | tagDensity | 0.185 | | leniency | 0.37 | | rawRatio | 0.2 | | effectiveRatio | 0.074 | |