| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "Adeyemi said slowly [slowly]" |
| | dialogueSentences | 49 | | tagDensity | 0.408 | | leniency | 0.816 | | rawRatio | 0.05 | | effectiveRatio | 0.041 | |
| 90.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1649 | | totalAiIsmAdverbs | 3 | | found | | | 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) | |
| 84.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1649 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "pristine" | | 1 | "could feel" | | 2 | "weight" | | 3 | "stomach" | | 4 | "flickered" |
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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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 68 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1654 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1059 | | uniqueNames | 13 | | maxNameDensity | 0.85 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Harlow | 1 | | Quinn | 9 | | Water | 1 | | Yusuf | 1 | | Adeyemi | 6 | | Young | 1 | | Clean | 1 | | Morris | 4 | | British | 1 | | Museum | 1 | | Eva | 1 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Water" | | 3 | "Yusuf" | | 4 | "Adeyemi" | | 5 | "Young" | | 6 | "Morris" | | 7 | "Eva" | | 8 | "Kowalski" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "as though reaching for something in his last moment" |
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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 | 1654 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 115 | | matches | | 0 | "let that go" | | 1 | "like that right" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 33.08 | | std | 27.91 | | cv | 0.844 | | sampleLengths | | 0 | 78 | | 1 | 77 | | 2 | 49 | | 3 | 11 | | 4 | 46 | | 5 | 5 | | 6 | 5 | | 7 | 43 | | 8 | 65 | | 9 | 1 | | 10 | 8 | | 11 | 30 | | 12 | 10 | | 13 | 8 | | 14 | 78 | | 15 | 41 | | 16 | 4 | | 17 | 19 | | 18 | 37 | | 19 | 25 | | 20 | 7 | | 21 | 15 | | 22 | 23 | | 23 | 55 | | 24 | 3 | | 25 | 1 | | 26 | 52 | | 27 | 17 | | 28 | 120 | | 29 | 7 | | 30 | 3 | | 31 | 12 | | 32 | 27 | | 33 | 56 | | 34 | 2 | | 35 | 69 | | 36 | 22 | | 37 | 54 | | 38 | 19 | | 39 | 62 | | 40 | 3 | | 41 | 72 | | 42 | 33 | | 43 | 20 | | 44 | 78 | | 45 | 74 | | 46 | 42 | | 47 | 4 | | 48 | 34 | | 49 | 28 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 86 | | matches | | 0 | "been closed" | | 1 | "been brushed" |
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| 83.04% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 171 | | matches | | 0 | "was looking" | | 1 | "was thinking" | | 2 | "was already thinking" |
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| 43.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 115 | | ratio | 0.035 | | matches | | 0 | "\"His fingernails are clean. Trimmed. And these—\" she turned the hand under the lamp, \"—aren't the hands of a man who sleeps rough. No ground-in dirt. Callused here and here, though.\" Thumb and forefinger." | | 1 | "The beard was untrimmed, but the hair at the collar was recently cut — she could see the clean line of it." | | 2 | "Bone, or something that wanted to be bone — pale, warm to the touch even through the glove, which was impossible, which she noted and set aside." | | 3 | "\"Maybe.\" The calluses said otherwise — years of fine work, not months." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 775 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.024516129032258065 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005161290322580645 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 14.38 | | std | 13.18 | | cv | 0.916 | | sampleLengths | | 0 | 24 | | 1 | 28 | | 2 | 21 | | 3 | 5 | | 4 | 10 | | 5 | 28 | | 6 | 39 | | 7 | 15 | | 8 | 22 | | 9 | 12 | | 10 | 7 | | 11 | 4 | | 12 | 9 | | 13 | 37 | | 14 | 5 | | 15 | 5 | | 16 | 2 | | 17 | 20 | | 18 | 21 | | 19 | 14 | | 20 | 4 | | 21 | 24 | | 22 | 2 | | 23 | 21 | | 24 | 1 | | 25 | 2 | | 26 | 6 | | 27 | 30 | | 28 | 10 | | 29 | 8 | | 30 | 32 | | 31 | 20 | | 32 | 3 | | 33 | 10 | | 34 | 13 | | 35 | 6 | | 36 | 22 | | 37 | 13 | | 38 | 4 | | 39 | 19 | | 40 | 21 | | 41 | 1 | | 42 | 15 | | 43 | 4 | | 44 | 21 | | 45 | 4 | | 46 | 3 | | 47 | 15 | | 48 | 8 | | 49 | 15 |
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| 70.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.5043478260869565 | | totalSentences | 115 | | uniqueOpeners | 58 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 61.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 68 | | matches | | 0 | "He straightened, peeling off a" | | 1 | "She also knew that scenes" | | 2 | "She walked the platform slowly," | | 3 | "She needed the room." | | 4 | "She crouched, shining her torch" | | 5 | "She could feel him recalibrating," | | 6 | "She swept the torch along" | | 7 | "She let that go, filed" | | 8 | "She crossed to the tent" | | 9 | "She lifted the outflung one" | | 10 | "she turned the hand under" | | 11 | "She moved up the body" | | 12 | "She angled her torch." | | 13 | "She felt, absurdly, the way" | | 14 | "She steadied her breath." | | 15 | "She was looking at the" | | 16 | "She reached in with two" | | 17 | "It sat in her palm" | | 18 | "she said, and bagged it," | | 19 | "She did not know why" |
| | ratio | 0.397 | |
| 62.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 68 | | matches | | 0 | "The stairwell down into the" | | 1 | "Detective Harlow Quinn ducked under" | | 2 | "This breath told her: wrong." | | 3 | "The station had been closed" | | 4 | "The tiles on the walls" | | 5 | "Thames Water had been using" | | 6 | "He straightened, peeling off a" | | 7 | "She also knew that scenes" | | 8 | "She walked the platform slowly," | | 9 | "The dead man lay under" | | 10 | "She needed the room." | | 11 | "The platform stretched maybe a" | | 12 | "Dust on the benches, dust" | | 13 | "She crouched, shining her torch" | | 14 | "The beams caught the chaos" | | 15 | "Adeyemi came to stand beside" | | 16 | "She could feel him recalibrating," | | 17 | "She swept the torch along" | | 18 | "Quinn looked at him." | | 19 | "She let that go, filed" |
| | ratio | 0.794 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 8 | | matches | | 0 | "Thames Water had been using the lower tunnels for access, which was how a subcontractor's apprentice had found the body at six that morning and then, according …" | | 1 | "Young, keen,Oxford-fast-tracked, and possessed of the cheerful confidence of a man who had never yet been wrong in a way that mattered." | | 2 | "She could feel him recalibrating, the way young detectives did, searching for the explanation that would put the world back in order." | | 3 | "The dead man lay on his back where the track bed met the platform wall, one arm flung out, palm open, as though reaching for something in his last moment." | | 4 | "A symbol, pressed or burned or stamped into the skin below the jaw, small and precise, a circle of interlocking lines that made her eyes want to slide off it." | | 5 | "Bone, or something that wanted to be bone — pale, warm to the touch even through the glove, which was impossible, which she noted and set aside." | | 6 | "The bone token sat in its plastic sleeve at the bottom, faintly warm against her hip through the fabric, and she was already thinking of the British Museum, of …" | | 7 | "Quinn looked once more at the mark on the dead man's throat, sealed now behind the tent's plastic, a sigil pressed into cold skin by something that had left no …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn repeated (repeat)" | | 1 | "She heard (hear)" |
| | dialogueSentences | 49 | | tagDensity | 0.245 | | leniency | 0.49 | | rawRatio | 0.167 | | effectiveRatio | 0.082 | |