| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1721 | | 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) | |
| 56.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1721 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "footsteps" | | 1 | "measured" | | 2 | "echoed" | | 3 | "electric" | | 4 | "silence" | | 5 | "whisper" | | 6 | "flickered" | | 7 | "thundered" | | 8 | "pulsed" | | 9 | "weight" | | 10 | "velvet" | | 11 | "porcelain" | | 12 | "scanned" |
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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 | 177 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 177 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 211 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1716 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 36.29% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1495 | | uniqueNames | 16 | | maxNameDensity | 2.27 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 34 | | Raven | 1 | | Nest | 1 | | Tube | 1 | | Camden | 1 | | London | 1 | | Morris | 4 | | Herrera | 1 | | Tomás | 9 | | Saint | 1 | | Christopher | 1 | | Metropolitan | 1 | | Police | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Camden" | | 4 | "Morris" | | 5 | "Herrera" | | 6 | "Tomás" | | 7 | "Saint" | | 8 | "Christopher" | | 9 | "Police" | | 10 | "Market" |
| | places | | | globalScore | 0.363 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 103 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like black feathers" | | 1 | "looked like a station" |
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| 83.45% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.166 | | wordCount | 1716 | | matches | | 0 | "not through any speaker, but in the unmistakable tone of a man who had been dead for thre" | | 1 | "not physically but impossibly, its streets rearranging themselves while the cro" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 211 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 132 | | mean | 13 | | std | 15.15 | | cv | 1.165 | | sampleLengths | | 0 | 9 | | 1 | 41 | | 2 | 1 | | 3 | 40 | | 4 | 58 | | 5 | 7 | | 6 | 4 | | 7 | 50 | | 8 | 4 | | 9 | 48 | | 10 | 3 | | 11 | 31 | | 12 | 4 | | 13 | 3 | | 14 | 5 | | 15 | 5 | | 16 | 45 | | 17 | 7 | | 18 | 10 | | 19 | 2 | | 20 | 51 | | 21 | 6 | | 22 | 6 | | 23 | 5 | | 24 | 11 | | 25 | 64 | | 26 | 8 | | 27 | 1 | | 28 | 4 | | 29 | 38 | | 30 | 4 | | 31 | 6 | | 32 | 4 | | 33 | 6 | | 34 | 21 | | 35 | 4 | | 36 | 6 | | 37 | 4 | | 38 | 5 | | 39 | 15 | | 40 | 2 | | 41 | 5 | | 42 | 5 | | 43 | 4 | | 44 | 31 | | 45 | 16 | | 46 | 9 | | 47 | 3 | | 48 | 10 | | 49 | 5 |
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| 93.37% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 177 | | matches | | 0 | "was blocked" | | 1 | "was gone" | | 2 | "been, flickered" | | 3 | "been painted" | | 4 | "been found" | | 5 | "was hidden" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 263 | | matches | | |
| 88.69% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 211 | | ratio | 0.019 | | matches | | 0 | "His face was young—thirty, perhaps—though fear had pulled it thin." | | 1 | "He had worn it while they worked the case that killed him—or had taken him." | | 2 | "Figures moved beneath them—some human, some almost human, some wrapped in shadows that refused to match their bodies." | | 3 | "A voice spoke from inside—not through any speaker, but in the unmistakable tone of a man who had been dead for three years." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1505 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.02857142857142857 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.006644518272425249 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 211 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 211 | | mean | 8.13 | | std | 5.82 | | cv | 0.716 | | sampleLengths | | 0 | 9 | | 1 | 36 | | 2 | 5 | | 3 | 1 | | 4 | 14 | | 5 | 18 | | 6 | 4 | | 7 | 4 | | 8 | 9 | | 9 | 29 | | 10 | 9 | | 11 | 11 | | 12 | 7 | | 13 | 4 | | 14 | 9 | | 15 | 10 | | 16 | 19 | | 17 | 12 | | 18 | 4 | | 19 | 5 | | 20 | 20 | | 21 | 23 | | 22 | 3 | | 23 | 11 | | 24 | 10 | | 25 | 10 | | 26 | 4 | | 27 | 3 | | 28 | 3 | | 29 | 2 | | 30 | 5 | | 31 | 11 | | 32 | 22 | | 33 | 12 | | 34 | 7 | | 35 | 10 | | 36 | 2 | | 37 | 8 | | 38 | 27 | | 39 | 6 | | 40 | 10 | | 41 | 6 | | 42 | 6 | | 43 | 5 | | 44 | 11 | | 45 | 8 | | 46 | 13 | | 47 | 18 | | 48 | 15 | | 49 | 5 |
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| 47.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.2985781990521327 | | totalSentences | 211 | | uniqueOpeners | 63 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 162 | | matches | | 0 | "Then the crowd swallowed him." | | 1 | "Then came a metal clang," | | 2 | "Too many teeth, too evenly" | | 3 | "Only tiled wall, wet and" | | 4 | "Then Tomás again, quieter." | | 5 | "Somewhere, an entire wall groaned" | | 6 | "Then he opened it." |
| | ratio | 0.043 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 162 | | matches | | 0 | "Her command vanished beneath the" | | 1 | "He cursed after her." | | 2 | "She didn’t look back." | | 3 | "Her boots struck the pavement" | | 4 | "He cut left into an" | | 5 | "Her closely cropped salt-and-pepper hair" | | 6 | "She wiped it away with" | | 7 | "He looked back." | | 8 | "His face was young—thirty, perhaps—though" | | 9 | "He disappeared beneath the arch." | | 10 | "She reached the stairs and" | | 11 | "She knew the location from" | | 12 | "She moved forward, keeping close" | | 13 | "Her left wristwatch ticked beneath" | | 14 | "He had worn it while" | | 15 | "His laugh shook." | | 16 | "He glanced behind himself." | | 17 | "He lifted the bone token." | | 18 | "It also caught the pale" | | 19 | "She was tall and motionless," |
| | ratio | 0.222 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 135 | | totalSentences | 162 | | matches | | 0 | "Detective Harlow Quinn saw the" | | 1 | "Her command vanished beneath the" | | 2 | "Quinn shoved through a knot" | | 3 | "He cursed after her." | | 4 | "She didn’t look back." | | 5 | "Her boots struck the pavement" | | 6 | "Military precision had kept her" | | 7 | "He cut left into an" | | 8 | "Quinn followed, one hand grazing" | | 9 | "The alley ended at a" | | 10 | "The suspect vaulted it." | | 11 | "Quinn stopped only long enough" | | 12 | "A red double-decker bus groaned" | | 13 | "The suspect emerged from behind" | | 14 | "Quinn went after him." | | 15 | "Her closely cropped salt-and-pepper hair" | | 16 | "She wiped it away with" | | 17 | "He looked back." | | 18 | "His face was young—thirty, perhaps—though" | | 19 | "A piece of bone." |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 162 | | matches | (empty) | | ratio | 0 | |
| 90.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 4 | | matches | | 0 | "Military precision had kept her alive through eighteen years of police work, but the suspect had the loose, frantic speed of someone who knew the city by its cr…" | | 1 | "Every instinct trained into her told her to call for backup, secure the perimeter, wait for a warrant, wait for someone who understood what she was seeing." | | 2 | "Behind her lay the station, the platform, the pale corpse of an explanation that had never satisfied her." | | 3 | "A voice spoke from inside—not through any speaker, but in the unmistakable tone of a man who had been dead for three years." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 45 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.1 | | effectiveRatio | 0.044 | |