| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn said quietly [quietly]" |
| | dialogueSentences | 53 | | tagDensity | 0.283 | | leniency | 0.566 | | rawRatio | 0.067 | | effectiveRatio | 0.038 | |
| 92.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1274 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
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| | 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) | |
| 37.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1274 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "flickered" | | 1 | "pulse" | | 2 | "jaw clenched" | | 3 | "silence" | | 4 | "fractured" | | 5 | "mosaic" | | 6 | "etched" | | 7 | "scanning" | | 8 | "scanned" | | 9 | "spectral" | | 10 | "trembled" | | 11 | "chill" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 136 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 136 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 173 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 8 | | totalWords | 1261 | | ratio | 0.006 | | matches | | 0 | "collapsed inward" | | 1 | "here" | | 2 | "public station" | | 3 | "what" | | 4 | "was" | | 5 | "there" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 772 | | uniqueNames | 12 | | maxNameDensity | 2.98 | | worstName | "Quinn" | | maxWindowNameDensity | 6.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Met | 1 | | Harlow | 1 | | Quinn | 23 | | Patel | 9 | | Camden | 1 | | Town | 1 | | Eva | 11 | | Department | 1 | | Occult | 1 | | Antiquities | 1 | | Morris | 1 |
| | persons | | 0 | "Met" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Patel" | | 4 | "Eva" | | 5 | "Morris" |
| | places | | | globalScore | 0.01 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1261 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 173 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 82 | | mean | 15.38 | | std | 13.91 | | cv | 0.904 | | sampleLengths | | 0 | 61 | | 1 | 41 | | 2 | 30 | | 3 | 40 | | 4 | 5 | | 5 | 5 | | 6 | 6 | | 7 | 10 | | 8 | 12 | | 9 | 32 | | 10 | 58 | | 11 | 22 | | 12 | 4 | | 13 | 34 | | 14 | 4 | | 15 | 31 | | 16 | 14 | | 17 | 8 | | 18 | 15 | | 19 | 46 | | 20 | 9 | | 21 | 27 | | 22 | 7 | | 23 | 14 | | 24 | 4 | | 25 | 2 | | 26 | 33 | | 27 | 5 | | 28 | 5 | | 29 | 13 | | 30 | 1 | | 31 | 4 | | 32 | 3 | | 33 | 10 | | 34 | 47 | | 35 | 7 | | 36 | 3 | | 37 | 41 | | 38 | 14 | | 39 | 3 | | 40 | 2 | | 41 | 29 | | 42 | 4 | | 43 | 15 | | 44 | 13 | | 45 | 29 | | 46 | 5 | | 47 | 8 | | 48 | 17 | | 49 | 38 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 136 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 166 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 173 | | ratio | 0.052 | | matches | | 0 | "The air smelled of wet rust and something else—charnel, faint but insistent, like meat left too long in a cellar." | | 1 | "The silence didn’t stretch—it coiled." | | 2 | "Her sharp eyes swept the wall behind the body—a faded mosaic of the old Camden Town sign, half-eroded by damp, tiles missing." | | 3 | "The platform was littered with forensic markers—yellow cones, numbered tags—but something was off." | | 4 | "The man’s hands—no defensive wounds." | | 5 | "Her watch ticked—nineteen, twenty." | | 6 | "It trembled, swinging slowly, deliberately, to the east wall—where the mosaic had collapsed." | | 7 | "A voice—female, urgent—cut through the hum of generators." | | 8 | "The woman lifted her hands, one of them tucking a strand of hair behind her left ear—a nervous flick Quinn noted instantly." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 785 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.035668789808917196 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.01019108280254777 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 173 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 173 | | mean | 7.29 | | std | 6.64 | | cv | 0.911 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 23 | | 3 | 16 | | 4 | 18 | | 5 | 1 | | 6 | 1 | | 7 | 5 | | 8 | 10 | | 9 | 20 | | 10 | 3 | | 11 | 22 | | 12 | 3 | | 13 | 5 | | 14 | 2 | | 15 | 5 | | 16 | 5 | | 17 | 5 | | 18 | 4 | | 19 | 2 | | 20 | 10 | | 21 | 8 | | 22 | 4 | | 23 | 3 | | 24 | 4 | | 25 | 14 | | 26 | 5 | | 27 | 3 | | 28 | 3 | | 29 | 3 | | 30 | 13 | | 31 | 3 | | 32 | 4 | | 33 | 9 | | 34 | 18 | | 35 | 3 | | 36 | 5 | | 37 | 22 | | 38 | 4 | | 39 | 9 | | 40 | 5 | | 41 | 5 | | 42 | 2 | | 43 | 5 | | 44 | 5 | | 45 | 3 | | 46 | 4 | | 47 | 7 | | 48 | 6 | | 49 | 3 |
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| 59.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3930635838150289 | | totalSentences | 173 | | uniqueOpeners | 68 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 100 | | matches | | 0 | "Then she saw it." | | 1 | "Just a single black feather" | | 2 | "Then at the wall." |
| | ratio | 0.03 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 100 | | matches | | 0 | "Her worn leather watch dug" | | 1 | "Her sharp eyes swept the" | | 2 | "Her breath hitched, just once." | | 3 | "He straightened, wiping his gloves" | | 4 | "She turned, scanning." | | 5 | "She knelt, ignoring the damp" | | 6 | "Her gaze snagged on his" | | 7 | "She leaned in." | | 8 | "She lifted the hand, careful" | | 9 | "She released the hand, stood." | | 10 | "Her watch ticked—nineteen, twenty." | | 11 | "She flexed her hand again." | | 12 | "She moved toward it, crouched." | | 13 | "It trembled, swinging slowly, deliberately," | | 14 | "She reached for it." | | 15 | "She wore a long coat" | | 16 | "She looked at the compass" | | 17 | "She stepped back." | | 18 | "She rushed forward, ignoring protocol," | | 19 | "She remembered her partner, Morris." |
| | ratio | 0.22 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 100 | | matches | | 0 | "Rain hissed down the tiled" | | 1 | "The air smelled of wet" | | 2 | "Detective Harlow Quinn stood near" | | 3 | "Her worn leather watch dug" | | 4 | "The silence didn’t stretch—it coiled." | | 5 | "Quinn didn’t answer." | | 6 | "Her sharp eyes swept the" | | 7 | "The gaps formed a shape." | | 8 | "Her breath hitched, just once." | | 9 | "Patel glanced up, frowning." | | 10 | "He straightened, wiping his gloves" | | 11 | "Quinn stepped closer." | | 12 | "The circle wasn’t carved." | | 13 | "The tiles had *collapsed inward*," | | 14 | "She turned, scanning." | | 15 | "The platform was littered with" | | 16 | "The victim, a man in" | | 17 | "She knelt, ignoring the damp" | | 18 | "The man’s hands—no defensive wounds." | | 19 | "Her gaze snagged on his" |
| | ratio | 0.71 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 100 | | matches | | 0 | "As if he hadn’t fought." | | 1 | "As if he’d stood there." | | 2 | "Now, she wasn’t sure." |
| | ratio | 0.03 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 1 | | matches | | 0 | "Fluorescent strips strung haphazardly by the Met’s forensics team flickered above, casting jagged shadows that made the place pulse like a diseased lung." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn said, voice low," |
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| 93.40% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn muttered (mutter)" | | 1 | "Eva whispered (whisper)" | | 2 | "Eva murmured (murmur)" |
| | dialogueSentences | 53 | | tagDensity | 0.245 | | leniency | 0.491 | | rawRatio | 0.231 | | effectiveRatio | 0.113 | |