| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 2 | | adverbTags | | 0 | "Davies gestured vaguely [vaguely]" | | 1 | "She looked around [around]" |
| | dialogueSentences | 29 | | tagDensity | 0.276 | | leniency | 0.552 | | rawRatio | 0.25 | | effectiveRatio | 0.138 | |
| 96.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1369 | | totalAiIsmAdverbs | 1 | | 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) | |
| 19.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1369 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "echoed" | | 1 | "oppressive" | | 2 | "silence" | | 3 | "weight" | | 4 | "traced" | | 5 | "perfect" | | 6 | "intricate" | | 7 | "stark" | | 8 | "chaotic" | | 9 | "maw" | | 10 | "footsteps" | | 11 | "methodical" | | 12 | "glinting" | | 13 | "etched" | | 14 | "familiar" | | 15 | "sense of" | | 16 | "complex" | | 17 | "raced" | | 18 | "scanned" | | 19 | "charged" | | 20 | "trembled" |
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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 | 118 | | matches | (empty) | |
| 94.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 118 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 137 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 14 | | totalWords | 1361 | | ratio | 0.01 | | matches | | 0 | "It's always right there, Harlow. You just have to change the way you're looking." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1101 | | uniqueNames | 8 | | maxNameDensity | 1 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 11 | | Tube | 1 | | Camden | 1 | | Davies | 8 | | North | 1 | | South | 1 | | Morris | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davies" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 23.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 4 | | matches | | 0 | "pattern that seemed to bloom from just over his heart" | | 1 | "felt like DS Morris’s last case" | | 2 | "looked like charcoal was a complex symbol" | | 3 | "felt like the moments before a lightnin" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.735 | | wordCount | 1361 | | matches | | 0 | "not at the symbol, but at the wall itself" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 137 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 34.9 | | std | 27.59 | | cv | 0.791 | | sampleLengths | | 0 | 59 | | 1 | 47 | | 2 | 6 | | 3 | 62 | | 4 | 29 | | 5 | 62 | | 6 | 79 | | 7 | 14 | | 8 | 21 | | 9 | 53 | | 10 | 27 | | 11 | 17 | | 12 | 30 | | 13 | 15 | | 14 | 95 | | 15 | 6 | | 16 | 13 | | 17 | 4 | | 18 | 35 | | 19 | 61 | | 20 | 24 | | 21 | 12 | | 22 | 56 | | 23 | 64 | | 24 | 8 | | 25 | 89 | | 26 | 14 | | 27 | 35 | | 28 | 17 | | 29 | 56 | | 30 | 7 | | 31 | 7 | | 32 | 53 | | 33 | 86 | | 34 | 7 | | 35 | 4 | | 36 | 1 | | 37 | 75 | | 38 | 11 |
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| 99.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 118 | | matches | | 0 | "was layered" | | 1 | "were coated" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 160 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 137 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 550 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.01818181818181818 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0036363636363636364 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 137 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 137 | | mean | 9.93 | | std | 6.56 | | cv | 0.661 | | sampleLengths | | 0 | 11 | | 1 | 22 | | 2 | 9 | | 3 | 17 | | 4 | 22 | | 5 | 15 | | 6 | 10 | | 7 | 6 | | 8 | 11 | | 9 | 17 | | 10 | 25 | | 11 | 9 | | 12 | 12 | | 13 | 17 | | 14 | 40 | | 15 | 22 | | 16 | 4 | | 17 | 5 | | 18 | 17 | | 19 | 9 | | 20 | 12 | | 21 | 20 | | 22 | 4 | | 23 | 8 | | 24 | 5 | | 25 | 6 | | 26 | 3 | | 27 | 6 | | 28 | 15 | | 29 | 6 | | 30 | 12 | | 31 | 7 | | 32 | 22 | | 33 | 6 | | 34 | 3 | | 35 | 12 | | 36 | 6 | | 37 | 6 | | 38 | 17 | | 39 | 27 | | 40 | 3 | | 41 | 15 | | 42 | 12 | | 43 | 11 | | 44 | 12 | | 45 | 9 | | 46 | 10 | | 47 | 23 | | 48 | 13 | | 49 | 5 |
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| 54.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.36496350364963503 | | totalSentences | 137 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 113 | | matches | (empty) | | ratio | 0 | |
| 50.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 113 | | matches | | 0 | "He shifted his weight from" | | 1 | "She stopped a few feet" | | 2 | "His boots were handmade, scuffed" | | 3 | "He lay on his back," | | 4 | "She crouched, her knees protesting." | | 5 | "Her gaze traced the man’s" | | 6 | "He pointed to the man’s" | | 7 | "It wasn't a bruise or" | | 8 | "It was a perfect, intricate" | | 9 | "It was a beautiful, horrifying" | | 10 | "She had seen a lot" | | 11 | "She looked around the platform," | | 12 | "Her salt-and-pepper hair was a" | | 13 | "She began to walk the" | | 14 | "He pointed a thumb back" | | 15 | "She pulled a small, powerful" | | 16 | "She saw the victim's footprints," | | 17 | "She saw nothing else." | | 18 | "Her voice was flat" | | 19 | "They were coated in the" |
| | ratio | 0.425 | |
| 35.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 113 | | matches | | 0 | "The air grew colder with" | | 1 | "Detective Harlow Quinn’s boots echoed" | | 2 | "PC Davies, young enough that" | | 3 | "He shifted his weight from" | | 4 | "Quinn dipped under the tape," | | 5 | "The domed ceiling was layered" | | 6 | "A single, powerful halogen lamp," | | 7 | "Quinn’s voice was low, cutting" | | 8 | "She stopped a few feet" | | 9 | "Davies gestured vaguely with a" | | 10 | "Quinn approached the body." | | 11 | "The man wasn't a tramp." | | 12 | "The clothes were worn, yes," | | 13 | "His boots were handmade, scuffed" | | 14 | "He lay on his back," | | 15 | "She crouched, her knees protesting." | | 16 | "Her gaze traced the man’s" | | 17 | "Davies shuffled closer" | | 18 | "He pointed to the man’s" | | 19 | "It wasn't a bruise or" |
| | ratio | 0.85 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 113 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 2 | | matches | | 0 | "It was a perfect, intricate spiral of ruptured capillaries, a delicate, fractal pattern that seemed to bloom from just over his heart." | | 1 | "She remembered Morris, bleeding out on the floor of that warehouse three years ago, whispering about a door that wasn't there." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "She looked around, her eyes adjusting to the harsh shadows beyond the lamp" | | 1 | "Davies offered, his voice lacking conviction" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.034 | | leniency | 0.069 | | rawRatio | 0 | | effectiveRatio | 0 | |