| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn repeated flatly [flatly]" |
| | dialogueSentences | 55 | | tagDensity | 0.436 | | leniency | 0.873 | | rawRatio | 0.042 | | effectiveRatio | 0.036 | |
| 96.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1397 | | 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) | |
| 28.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1397 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "firmly" | | 1 | "fluttered" | | 2 | "standard" | | 3 | "silk" | | 4 | "weight" | | 5 | "fractured" | | 6 | "tension" | | 7 | "shattered" | | 8 | "intricate" | | 9 | "etched" | | 10 | "echoed" | | 11 | "measured" | | 12 | "vibrated" | | 13 | "magnetic" | | 14 | "flickered" |
| |
| 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 | 88 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 88 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | 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 | 1397 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 1 | | matches | | 0 | "Behind them, on the platform, Vance yelled." |
| |
| 7.61% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 913 | | uniqueNames | 15 | | maxNameDensity | 2.85 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Constable | 1 | | Vance | 8 | | Quinn | 26 | | Camden | 1 | | High | 1 | | Street | 1 | | Northern | 1 | | Line | 2 | | Victorian | 1 | | Morris | 1 | | Darkness | 1 | | Euston | 1 | | Kowalski | 1 | | Eva | 10 | | Piccadilly | 1 |
| | persons | | 0 | "Constable" | | 1 | "Vance" | | 2 | "Quinn" | | 3 | "Morris" | | 4 | "Kowalski" | | 5 | "Eva" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Euston" |
| | globalScore | 0.076 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | 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 | 1397 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 22.53 | | std | 15.85 | | cv | 0.703 | | sampleLengths | | 0 | 6 | | 1 | 12 | | 2 | 49 | | 3 | 7 | | 4 | 16 | | 5 | 44 | | 6 | 34 | | 7 | 5 | | 8 | 8 | | 9 | 56 | | 10 | 20 | | 11 | 16 | | 12 | 40 | | 13 | 17 | | 14 | 15 | | 15 | 30 | | 16 | 25 | | 17 | 7 | | 18 | 64 | | 19 | 13 | | 20 | 14 | | 21 | 37 | | 22 | 7 | | 23 | 30 | | 24 | 11 | | 25 | 4 | | 26 | 45 | | 27 | 9 | | 28 | 12 | | 29 | 5 | | 30 | 5 | | 31 | 2 | | 32 | 18 | | 33 | 45 | | 34 | 8 | | 35 | 20 | | 36 | 14 | | 37 | 36 | | 38 | 13 | | 39 | 11 | | 40 | 50 | | 41 | 4 | | 42 | 41 | | 43 | 10 | | 44 | 26 | | 45 | 9 | | 46 | 45 | | 47 | 12 | | 48 | 29 | | 49 | 44 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 154 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 119 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 919 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.014145810663764961 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01088139281828074 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 11.74 | | std | 7.17 | | cv | 0.611 | | sampleLengths | | 0 | 6 | | 1 | 12 | | 2 | 12 | | 3 | 20 | | 4 | 17 | | 5 | 7 | | 6 | 16 | | 7 | 13 | | 8 | 31 | | 9 | 12 | | 10 | 22 | | 11 | 5 | | 12 | 4 | | 13 | 4 | | 14 | 15 | | 15 | 41 | | 16 | 10 | | 17 | 10 | | 18 | 16 | | 19 | 14 | | 20 | 26 | | 21 | 5 | | 22 | 12 | | 23 | 6 | | 24 | 9 | | 25 | 10 | | 26 | 9 | | 27 | 11 | | 28 | 10 | | 29 | 15 | | 30 | 7 | | 31 | 20 | | 32 | 4 | | 33 | 40 | | 34 | 13 | | 35 | 5 | | 36 | 9 | | 37 | 13 | | 38 | 16 | | 39 | 8 | | 40 | 7 | | 41 | 14 | | 42 | 16 | | 43 | 9 | | 44 | 2 | | 45 | 4 | | 46 | 23 | | 47 | 10 | | 48 | 12 | | 49 | 9 |
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| 78.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5042016806722689 | | totalSentences | 119 | | uniqueOpeners | 60 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 78 | | matches | | 0 | "Instead, the dark ribbon crept" | | 1 | "Just cold terror and the" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 78 | | matches | | 0 | "She adjusted the worn leather" | | 1 | "She leaned closer, hovering inches" | | 2 | "Her sharp jaw tightened." | | 3 | "She reached down, slipping two" | | 4 | "Her fingers brushed against something" | | 5 | "She pulled it into the" | | 6 | "It was an oblong piece" | | 7 | "She moved along the platform" | | 8 | "She cleared the signal box" | | 9 | "She wrenched the intruder out" | | 10 | "Her green eyes darted past" | | 11 | "She pushed her glasses up" | | 12 | "She winced, tucking her hair" | | 13 | "She reached down, unbuckling the" | | 14 | "It vibrated violently, humming with" |
| | ratio | 0.192 | |
| 56.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 78 | | matches | | 0 | "Detective Constable Vance aimed his" | | 1 | "Harlow Quinn ignored him, planting" | | 2 | "The dead man rested face" | | 3 | "Vance said, his voice flat" | | 4 | "Quinn crouched beside the corpse," | | 5 | "She adjusted the worn leather" | | 6 | "Quinn pulled on a pair" | | 7 | "Vance shifted his weight, his" | | 8 | "Quinn pointed to the red" | | 9 | "The fluid did not follow" | | 10 | "Vance said, shrugging" | | 11 | "She leaned closer, hovering inches" | | 12 | "Quinn stood, towering two inches" | | 13 | "Her sharp jaw tightened." | | 14 | "She reached down, slipping two" | | 15 | "The silk felt stiff, soaked" | | 16 | "Her fingers brushed against something" | | 17 | "She pulled it into the" | | 18 | "It was an oblong piece" | | 19 | "Vance asked, squinting behind his" |
| | ratio | 0.808 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 1 | | matches | | 0 | "The silk felt stiff, soaked through with a clear alchemical brine that smelled sharply of ozone." |
| |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 3 | | matches | | 0 | "Vance said, his voice flat in the dead subterranean air" | | 1 | "Quinn announced, her voice ringing off the damp brick vault" | | 2 | "Eva said, her breath hitching" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 19 | | fancyCount | 10 | | fancyTags | | 0 | "Quinn murmured (murmur)" | | 1 | "Quinn whispered (whisper)" | | 2 | "Quinn announced (announce)" | | 3 | "breathless voice gasped (gasp)" | | 4 | "Quinn demanded (demand)" | | 5 | "Eva whispered (whisper)" | | 6 | "Quinn repeated flatly (repeat)" | | 7 | "Quinn snapped (snap)" | | 8 | "Eva hissed (hiss)" | | 9 | "Eva whispered (whisper)" |
| | dialogueSentences | 55 | | tagDensity | 0.345 | | leniency | 0.691 | | rawRatio | 0.526 | | effectiveRatio | 0.364 | |