| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1212 | | totalAiIsmAdverbs | 1 | | 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) | |
| 67.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1212 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "churn" | | 1 | "churned" | | 2 | "pumping" | | 3 | "warmth" | | 4 | "chill" | | 5 | "could feel" | | 6 | "weight" | | 7 | "etched" |
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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 | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1221 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1001 | | uniqueNames | 7 | | maxNameDensity | 0.5 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rennick" | | discoveredNames | | Quinn | 5 | | Camden | 1 | | Patel | 2 | | Rennick | 4 | | Markings | 1 | | Deptford | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Camden" | | 2 | "Patel" | | 3 | "Rennick" | | 4 | "Markings" | | 5 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 47.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 2 | | matches | | 0 | "as though reaching for something past the edge" | | 1 | "not quite touching" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.819 | | wordCount | 1221 | | matches | | 0 | "not by one set of feet, but by dozens, a churn of overlapping prints" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 84 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 34.89 | | std | 27.72 | | cv | 0.795 | | sampleLengths | | 0 | 56 | | 1 | 12 | | 2 | 10 | | 3 | 83 | | 4 | 7 | | 5 | 64 | | 6 | 49 | | 7 | 25 | | 8 | 3 | | 9 | 58 | | 10 | 47 | | 11 | 47 | | 12 | 5 | | 13 | 1 | | 14 | 49 | | 15 | 25 | | 16 | 5 | | 17 | 82 | | 18 | 59 | | 19 | 6 | | 20 | 1 | | 21 | 96 | | 22 | 51 | | 23 | 20 | | 24 | 16 | | 25 | 81 | | 26 | 74 | | 27 | 29 | | 28 | 37 | | 29 | 20 | | 30 | 4 | | 31 | 36 | | 32 | 4 | | 33 | 49 | | 34 | 10 |
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| 90.23% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 70 | | matches | | 0 | "been sealed" | | 1 | "been disturbed " | | 2 | "been trained" |
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| 78.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 165 | | matches | | 0 | "was looking" | | 1 | "was spinning" | | 2 | "was already moving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 84 | | ratio | 0.095 | | matches | | 0 | "The smell hit Quinn before the light did — copper and rot and something underneath it, something sweet and chemical she couldn't name." | | 1 | "And yet the dust on these steps had been disturbed — not by one set of feet, but by dozens, a churn of overlapping prints that didn't read like a single intruder breaking in." | | 2 | "Her torch found the body first — male, mid-thirties, sprawled across the lip where tile met track-bed, one arm flung out as though reaching for something past the edge." | | 3 | "Her knees protested — forty-one years and eighteen of them on this job had a way of speaking up — but she ignored them, the way she ignored most things that weren't evidence." | | 4 | "She watched him register it the way she had the moment her beam first crossed the platform — the dark pool spreading from beneath the man's torso, soaking into the grout." | | 5 | "The air around him was wrong, too — cooler than the rest of the platform, a pocket of chill she could feel through the latex." | | 6 | "She drew it out below the line of Rennick's sight — a compass, its casing green with verdigris, its face crowded with etched marks she'd paid more than money for and never regretted." | | 7 | "Somewhere ahead, faint as a held breath, she thought she could hear it — the murmur of a crowd that wasn't there, a market that wasn't there, a door she couldn't see standing open just past the reach of the light." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 998 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.017034068136272545 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.001002004008016032 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 14.54 | | std | 11.52 | | cv | 0.793 | | sampleLengths | | 0 | 23 | | 1 | 33 | | 2 | 9 | | 3 | 3 | | 4 | 3 | | 5 | 7 | | 6 | 24 | | 7 | 12 | | 8 | 34 | | 9 | 4 | | 10 | 9 | | 11 | 7 | | 12 | 10 | | 13 | 29 | | 14 | 18 | | 15 | 7 | | 16 | 15 | | 17 | 17 | | 18 | 17 | | 19 | 5 | | 20 | 6 | | 21 | 14 | | 22 | 3 | | 23 | 41 | | 24 | 17 | | 25 | 2 | | 26 | 33 | | 27 | 12 | | 28 | 1 | | 29 | 12 | | 30 | 5 | | 31 | 29 | | 32 | 5 | | 33 | 1 | | 34 | 40 | | 35 | 9 | | 36 | 3 | | 37 | 22 | | 38 | 5 | | 39 | 3 | | 40 | 31 | | 41 | 11 | | 42 | 5 | | 43 | 7 | | 44 | 25 | | 45 | 4 | | 46 | 17 | | 47 | 13 | | 48 | 25 | | 49 | 6 |
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| 77.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5 | | totalSentences | 84 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 62 | | matches | | 0 | "Then it stopped." | | 1 | "Somewhere ahead, faint as a" |
| | ratio | 0.032 | |
| 39.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 62 | | matches | | 0 | "She ducked beneath the strip" | | 1 | "She didn't answer." | | 2 | "She never answered when she" | | 3 | "It read like traffic." | | 4 | "Her torch found the body" | | 5 | "He'd beaten her here, which" | | 6 | "She looked at the arm." | | 7 | "Her knees protested — forty-one" | | 8 | "She brought her torch close" | | 9 | "She'd learned to trust it." | | 10 | "She tilted her head" | | 11 | "She watched him register it" | | 12 | "She rolled him, gently, with" | | 13 | "His skin held a flush," | | 14 | "She pressed the back of" | | 15 | "She straightened, sweeping the torch" | | 16 | "She didn't have a name" | | 17 | "Her voice had gone flat" | | 18 | "He frowned at her" | | 19 | "She didn't tell him." |
| | ratio | 0.452 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 62 | | matches | | 0 | "The smell hit Quinn before" | | 1 | "She ducked beneath the strip" | | 2 | "She didn't answer." | | 3 | "She never answered when she" | | 4 | "The abandoned station beneath Camden" | | 5 | "It read like traffic." | | 6 | "Quinn filed that away and" | | 7 | "The platform opened before her" | | 8 | "Her torch found the body" | | 9 | "The light made the blood" | | 10 | "He'd beaten her here, which" | | 11 | "She looked at the arm." | | 12 | "A fresh one in the" | | 13 | "Rennick gestured at the churned" | | 14 | "Her knees protested — forty-one" | | 15 | "She brought her torch close" | | 16 | "The word arrived before the" | | 17 | "She'd learned to trust it." | | 18 | "She tilted her head" | | 19 | "Rennick's smile thinned." |
| | ratio | 0.71 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 7 | | matches | | 0 | "She ducked beneath the strip of police tape and let her torch beam slide down the disused stairwell, past tiles the color of old teeth, past graffiti that had f…" | | 1 | "And yet the dust on these steps had been disturbed — not by one set of feet, but by dozens, a churn of overlapping prints that didn't read like a single intrude…" | | 2 | "Her torch found the body first — male, mid-thirties, sprawled across the lip where tile met track-bed, one arm flung out as though reaching for something past t…" | | 3 | "Around him, two scene-of-crime officers in paper suits worked under portable floods that threw everything into harsh relief." | | 4 | "Her knees protested — forty-one years and eighteen of them on this job had a way of speaking up — but she ignored them, the way she ignored most things that wer…" | | 5 | "She watched him register it the way she had the moment her beam first crossed the platform — the dark pool spreading from beneath the man's torso, soaking into …" | | 6 | "Somewhere ahead, faint as a held breath, she thought she could hear it — the murmur of a crowd that wasn't there, a market that wasn't there, a door she couldn'…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 27 | | tagDensity | 0.185 | | leniency | 0.37 | | rawRatio | 0.2 | | effectiveRatio | 0.074 | |