| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "Davies said suddenly [suddenly]" |
| | dialogueSentences | 20 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.125 | | effectiveRatio | 0.1 | |
| 76.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1050 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "gently" | | 2 | "suddenly" | | 3 | "sharply" | | 4 | "carefully" |
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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) | |
| 38.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1050 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "pulse" | | 2 | "echoed" | | 3 | "silence" | | 4 | "weight" | | 5 | "flickered" | | 6 | "etched" | | 7 | "scanning" | | 8 | "quickened" | | 9 | "footsteps" |
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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 | 158 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 158 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 170 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 16 | | markdownWords | 19 | | totalWords | 1040 | | ratio | 0.018 | | matches | | 0 | "breathing" | | 1 | "Something else." | | 2 | "Begging." | | 3 | "Carved." | | 4 | "felt" | | 5 | "know" | | 6 | "fresh." | | 7 | "Too" | | 8 | "taken." | | 9 | "wrong." | | 10 | "back." | | 11 | "under" | | 12 | "raised" | | 13 | "Scars." | | 14 | "click." | | 15 | "inside her head." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 899 | | uniqueNames | 13 | | maxNameDensity | 1 | | worstName | "Davies" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Davies" | | discoveredNames | | Inspector | 1 | | Harlow | 8 | | Quinn | 1 | | Camden | 1 | | Town | 1 | | Mark | 1 | | Davies | 9 | | St | 1 | | Deep | 1 | | Veil | 1 | | Market | 1 | | Fresh | 2 | | Like | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Mark" | | 3 | "Davies" | | 4 | "Like" |
| | places | | 0 | "Inspector" | | 1 | "Camden" | | 2 | "Town" | | 3 | "St" |
| | globalScore | 0.999 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 4 | | matches | | 0 | "as if clawing for a train that would never come" | | 1 | "looked like a dozen others she’d seen—los" | | 2 | "smelled like burnt copper and wet earth" | | 3 | "smelled like burnt almonds and wet ash" |
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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 | 1040 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 170 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 17.05 | | std | 17.74 | | cv | 1.041 | | sampleLengths | | 0 | 81 | | 1 | 56 | | 2 | 4 | | 3 | 55 | | 4 | 7 | | 5 | 57 | | 6 | 46 | | 7 | 13 | | 8 | 3 | | 9 | 3 | | 10 | 15 | | 11 | 27 | | 12 | 3 | | 13 | 32 | | 14 | 12 | | 15 | 37 | | 16 | 29 | | 17 | 4 | | 18 | 49 | | 19 | 3 | | 20 | 24 | | 21 | 10 | | 22 | 18 | | 23 | 4 | | 24 | 12 | | 25 | 15 | | 26 | 6 | | 27 | 18 | | 28 | 55 | | 29 | 13 | | 30 | 7 | | 31 | 29 | | 32 | 7 | | 33 | 30 | | 34 | 5 | | 35 | 7 | | 36 | 14 | | 37 | 42 | | 38 | 21 | | 39 | 4 | | 40 | 16 | | 41 | 4 | | 42 | 20 | | 43 | 5 | | 44 | 29 | | 45 | 3 | | 46 | 6 | | 47 | 8 | | 48 | 4 | | 49 | 26 |
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| 91.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 158 | | matches | | 0 | "was frozen" | | 1 | "were curled" | | 2 | "been used" | | 3 | "been dragged" | | 4 | "been drawn" | | 5 | "being thrown" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 166 | | matches | | 0 | "was *breathing" | | 1 | "was fighting" | | 2 | "was already standing" | | 3 | "was already moving" | | 4 | "wasn’t coming" | | 5 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 170 | | ratio | 0.059 | | matches | | 0 | "The underground platform wasn’t just damp—it was *breathing*, seeping water from the cracked tiles in a slow, rhythmic pulse." | | 1 | "Above her head, the noise of Camden Town station echoed—distant announcements, the rumble of trains, the squeal of brakes." | | 2 | "Not from the cold—he never did—but from something else." | | 3 | "The victim was young—early twenties, maybe." | | 4 | "He looked like a dozen others she’d seen—lost in the city, light on purpose, carrying the weight of the future in a backpack." | | 5 | "Harlow reached out—stopped." | | 6 | "The shape was jagged—three downward strokes, then a jagged circle." | | 7 | "There, on the ceiling, half-hidden in the shadows—another symbol." | | 8 | "And they led toward the abandoned tunnel mouth at the far end—the one that hadn’t been open in years." | | 9 | "She reached out—then stopped." |
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| 89.05% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 914 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 48 | | adverbRatio | 0.0525164113785558 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010940919037199124 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 170 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 170 | | mean | 6.12 | | std | 5.17 | | cv | 0.845 | | sampleLengths | | 0 | 23 | | 1 | 19 | | 2 | 13 | | 3 | 8 | | 4 | 2 | | 5 | 16 | | 6 | 19 | | 7 | 15 | | 8 | 9 | | 9 | 13 | | 10 | 4 | | 11 | 11 | | 12 | 9 | | 13 | 2 | | 14 | 24 | | 15 | 1 | | 16 | 8 | | 17 | 7 | | 18 | 12 | | 19 | 31 | | 20 | 9 | | 21 | 3 | | 22 | 2 | | 23 | 2 | | 24 | 6 | | 25 | 6 | | 26 | 3 | | 27 | 3 | | 28 | 23 | | 29 | 3 | | 30 | 6 | | 31 | 4 | | 32 | 2 | | 33 | 1 | | 34 | 3 | | 35 | 3 | | 36 | 5 | | 37 | 10 | | 38 | 3 | | 39 | 9 | | 40 | 5 | | 41 | 5 | | 42 | 5 | | 43 | 3 | | 44 | 1 | | 45 | 1 | | 46 | 6 | | 47 | 7 | | 48 | 1 | | 49 | 3 |
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| 63.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4176470588235294 | | totalSentences | 170 | | uniqueOpeners | 71 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 10 | | totalSentences | 123 | | matches | | 0 | "Then she saw him." | | 1 | "Always adjusting it when things" | | 2 | "Instead, she followed the hand" | | 3 | "Just rusted rails and a" | | 4 | "Then she saw it." | | 5 | "Of course not." | | 6 | "Still weeping a dark fluid" | | 7 | "Instead, she strode toward the" | | 8 | "Then a voice." | | 9 | "Almost a laugh." |
| | ratio | 0.081 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 123 | | matches | | 0 | "Her boots sank slightly into" | | 1 | "His jaw was set, but" | | 2 | "he said, not looking up" | | 3 | "He looked like a dozen" | | 4 | "His face was frozen in" | | 5 | "She ignored him." | | 6 | "She pried one open gently." | | 7 | "His breath hitched." | | 8 | "She was already standing, scanning" | | 9 | "It smelled like burnt copper" | | 10 | "She walked to the edge" | | 11 | "Her pulse quickened." | | 12 | "She didn’t answer." | | 13 | "She was already moving, torch" | | 14 | "She turned to Davies." | | 15 | "They were a path." | | 16 | "She pulled out her phone." | | 17 | "She pulled her leather satchel" | | 18 | "Her fingers brushed the watch" | | 19 | "She pushed the thought away." |
| | ratio | 0.228 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 123 | | matches | | 0 | "The evidence tape snapped taut" | | 1 | "The underground platform wasn’t just" | | 2 | "Her boots sank slightly into" | | 3 | "The kind of silence that" | | 4 | "The kind that made you" | | 5 | "Sergeant Mark Davies stood over" | | 6 | "His jaw was set, but" | | 7 | "he said, not looking up" | | 8 | "Harlow stepped closer, the torchlight" | | 9 | "The body lay sprawled in" | | 10 | "The victim was young—early twenties," | | 11 | "A student, maybe." | | 12 | "He looked like a dozen" | | 13 | "His face was frozen in" | | 14 | "Eyes wide, mouth open." | | 15 | "Harlow reached out—stopped." | | 16 | "The torch flickered." | | 17 | "She ignored him." | | 18 | "The fingers were curled, stiff." | | 19 | "She pried one open gently." |
| | ratio | 0.577 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 123 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "The kind that made you check your watch just to hear something tick." | | 1 | "The body lay sprawled in the centre of the platform, limbs splayed at unnatural angles, one arm stretched toward the tracks as if clawing for a train that would…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, not looking up" | | 1 | "Davies said suddenly, voice tight" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "Davies muttered (mutter)" |
| | dialogueSentences | 20 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0.143 | | effectiveRatio | 0.1 | |