| 91.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "the woman said quickly [quickly]" | | 1 | "Eva said softly [softly]" |
| | dialogueSentences | 37 | | tagDensity | 0.486 | | leniency | 0.973 | | rawRatio | 0.111 | | effectiveRatio | 0.108 | |
| 92.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1358 | | totalAiIsmAdverbs | 2 | | 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) | |
| 52.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1358 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "echoes" | | 2 | "gloom" | | 3 | "firmly" | | 4 | "tracing" | | 5 | "echoing" | | 6 | "etched" | | 7 | "footsteps" | | 8 | "chill" | | 9 | "vibrated" | | 10 | "echoed" |
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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 | 88 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 88 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1357 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 32.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 978 | | uniqueNames | 10 | | maxNameDensity | 2.35 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Tube | 2 | | Harlow | 23 | | Quinn | 1 | | Inspector | 1 | | Miller | 8 | | Morris | 3 | | Blitz | 1 | | Footsteps | 1 | | Eva | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Inspector" | | 3 | "Miller" | | 4 | "Morris" | | 5 | "Footsteps" | | 6 | "Eva" |
| | places | (empty) | | globalScore | 0.324 | | windowScore | 0.333 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like copper polish, but it lacked" | | 1 | "sigils that seemed to shift under the beam of her flashlight" |
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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 | 1357 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 93.45% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 31.56 | | std | 15.06 | | cv | 0.477 | | sampleLengths | | 0 | 32 | | 1 | 50 | | 2 | 51 | | 3 | 33 | | 4 | 16 | | 5 | 37 | | 6 | 19 | | 7 | 50 | | 8 | 27 | | 9 | 23 | | 10 | 42 | | 11 | 45 | | 12 | 6 | | 13 | 21 | | 14 | 64 | | 15 | 34 | | 16 | 66 | | 17 | 41 | | 18 | 15 | | 19 | 22 | | 20 | 25 | | 21 | 16 | | 22 | 6 | | 23 | 31 | | 24 | 43 | | 25 | 18 | | 26 | 22 | | 27 | 21 | | 28 | 53 | | 29 | 34 | | 30 | 11 | | 31 | 9 | | 32 | 62 | | 33 | 48 | | 34 | 24 | | 35 | 34 | | 36 | 22 | | 37 | 27 | | 38 | 34 | | 39 | 34 | | 40 | 40 | | 41 | 25 | | 42 | 24 |
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| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 88 | | matches | | 0 | "was etched" | | 1 | "were covered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 161 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 107 | | ratio | 0.009 | | matches | | 0 | "The sensation returned—the same prickle at the back of her neck she had felt three years ago on the night DS Morris vanished." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 984 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.019308943089430895 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.011178861788617886 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 12.68 | | std | 6.55 | | cv | 0.516 | | sampleLengths | | 0 | 22 | | 1 | 10 | | 2 | 24 | | 3 | 14 | | 4 | 12 | | 5 | 23 | | 6 | 10 | | 7 | 18 | | 8 | 20 | | 9 | 13 | | 10 | 16 | | 11 | 24 | | 12 | 13 | | 13 | 3 | | 14 | 16 | | 15 | 8 | | 16 | 13 | | 17 | 12 | | 18 | 17 | | 19 | 14 | | 20 | 13 | | 21 | 14 | | 22 | 9 | | 23 | 6 | | 24 | 6 | | 25 | 10 | | 26 | 16 | | 27 | 4 | | 28 | 3 | | 29 | 20 | | 30 | 10 | | 31 | 12 | | 32 | 6 | | 33 | 10 | | 34 | 11 | | 35 | 9 | | 36 | 11 | | 37 | 44 | | 38 | 21 | | 39 | 9 | | 40 | 4 | | 41 | 6 | | 42 | 15 | | 43 | 20 | | 44 | 5 | | 45 | 20 | | 46 | 3 | | 47 | 23 | | 48 | 6 | | 49 | 9 |
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| 54.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.35514018691588783 | | totalSentences | 107 | | uniqueOpeners | 38 | |
| 80.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 83 | | matches | | 0 | "Instead, a scent of ozone" | | 1 | "Instead of cardinal directions, the" |
| | ratio | 0.024 | |
| 65.78% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 83 | | matches | | 0 | "He threw a thumb toward" | | 1 | "She stepped under the tape," | | 2 | "She walked to the edge" | | 3 | "He looked small from this" | | 4 | "She crouched beside the body," | | 5 | "She looked at the man's" | | 6 | "His fingers clawed into the" | | 7 | "His fingernails were split, packed" | | 8 | "It was red clay." | | 9 | "She leaned closer." | | 10 | "It looked like copper polish," | | 11 | "She pointed her light at" | | 12 | "She reached into the victim's" | | 13 | "Her hand closed around something" | | 14 | "She pulled it out." | | 15 | "It was a small brass" | | 16 | "It spun in slow, erratic" | | 17 | "She stood, shining her light" | | 18 | "She walked past the body," | | 19 | "Her skin prickled." |
| | ratio | 0.386 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 83 | | matches | | 0 | "Water dripped from a rusted" | | 1 | "The air tasted of iron," | | 2 | "Detective Harlow Quinn adjusted the" | | 3 | "Flashlights swept the dark, cutting" | | 4 | "Detective Inspector Miller said, his" | | 5 | "He threw a thumb toward" | | 6 | "Harlow adjusted her collar, her" | | 7 | "She stepped under the tape," | | 8 | "Miller said, flicking his lighter" | | 9 | "Harlow didn't answer." | | 10 | "She walked to the edge" | | 11 | "The victim lay face down" | | 12 | "He looked small from this" | | 13 | "Harlow dropped down off the" | | 14 | "She crouched beside the body," | | 15 | "Harlow said, her voice echoing" | | 16 | "Miller called down from the" | | 17 | "Harlow didn't look at the" | | 18 | "She looked at the man's" | | 19 | "His fingers clawed into the" |
| | ratio | 0.94 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "Instead of cardinal directions, the face bore etched, swirling sigils that seemed to shift under the beam of her flashlight." | | 1 | "It vibrated with a low, thrumming frequency that rattled the fillings in her teeth." | | 2 | "It felt oily to the touch, leaving a faint smudge on her glove that smelled of vinegar and old paper." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 5 | | matches | | 0 | "Harlow said, her voice echoing in the tunnel" | | 1 | "Miller asked, his footsteps approaching the edge of the platform again" | | 2 | "the woman said, her breath fogging in the cold air" | | 3 | "Harlow said, her voice dropping into her official, steady tone" | | 4 | "Harlow said, her sharp jaw tightening" |
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| 95.95% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 2 | | fancyTags | | 0 | "Miller sighed (sigh)" | | 1 | "Harlow repeated (repeat)" |
| | dialogueSentences | 37 | | tagDensity | 0.405 | | leniency | 0.811 | | rawRatio | 0.133 | | effectiveRatio | 0.108 | |