| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1175 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 61.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1175 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "clenching" | | 1 | "gleaming" | | 2 | "scanned" | | 3 | "pounding" | | 4 | "loomed" | | 5 | "pulsed" | | 6 | "echoing" | | 7 | "etched" | | 8 | "throbbed" |
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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 | 88 | | matches | (empty) | |
| 77.92% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | 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 | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1175 | | ratio | 0 | | matches | (empty) | |
| 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 | 39 | | wordCount | 1113 | | uniqueNames | 13 | | maxNameDensity | 0.99 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Soho | 2 | | Harlow | 2 | | Quinn | 11 | | Herrera | 11 | | Saint | 1 | | Christopher | 1 | | Camden | 1 | | Market | 2 | | Morris | 2 | | Tomás | 2 | | Veil | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Harlow" | | 3 | "Quinn" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Market" | | 8 | "Morris" | | 9 | "Tomás" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | 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 | 1175 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 93 | | matches | | 0 | "clutched that medallion" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 40.52 | | std | 27.71 | | cv | 0.684 | | sampleLengths | | 0 | 108 | | 1 | 12 | | 2 | 46 | | 3 | 5 | | 4 | 3 | | 5 | 49 | | 6 | 43 | | 7 | 23 | | 8 | 46 | | 9 | 45 | | 10 | 16 | | 11 | 7 | | 12 | 79 | | 13 | 84 | | 14 | 43 | | 15 | 26 | | 16 | 22 | | 17 | 73 | | 18 | 64 | | 19 | 41 | | 20 | 15 | | 21 | 67 | | 22 | 23 | | 23 | 53 | | 24 | 94 | | 25 | 28 | | 26 | 36 | | 27 | 9 | | 28 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 88 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 194 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 8 | | flaggedSentences | 10 | | totalSentences | 93 | | ratio | 0.108 | | matches | | 0 | "She tilted her left wrist; the worn leather watch strap creaked, the face showing 01:47." | | 1 | "Contraband, extortion, worse—the file in her pocket tied them to all of it." | | 2 | "Heads turned from the doorway of the Nest; a couple under a shared umbrella twisted to look." | | 3 | "She cut around the corner, shoulder clipping a drunk tourist's umbrella; the man swore as the umbrella tumbled into the gutter, but she didn't break pace." | | 4 | "\"You think a licence matters now?\" Herrera knocked over a stack of empty crates outside a shuttered kebab shop; they clattered across the pavement, rolling into her path." | | 5 | "Its horn blared as Herrera darted in front of it; Quinn slapped the cab's bonnet as she passed, the metal cold and wet against her palm." | | 6 | "Ahead, a boarded-up staircase descended into the earth, flanked by a faded sign: CAMDEN TUBE STATION — NO ENTRY." | | 7 | "\"Last chance, Quinn.\" His fingers found the medallion again; he gripped it so hard the chain bit into his throat." | | 8 | "Rainwater and decades of grime made the steps slick; she caught the railing, cold iron under her palm, and took the descent two at a time." | | 9 | "She lifted her left wrist; the leather watch read 02:13." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 981 | | adjectiveStacks | 1 | | stackExamples | | 0 | "faint, bone-white light." |
| | adverbCount | 17 | | adverbRatio | 0.017329255861365953 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004077471967380225 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 12.63 | | std | 7.48 | | cv | 0.592 | | sampleLengths | | 0 | 23 | | 1 | 23 | | 2 | 10 | | 3 | 15 | | 4 | 18 | | 5 | 13 | | 6 | 6 | | 7 | 5 | | 8 | 7 | | 9 | 18 | | 10 | 20 | | 11 | 8 | | 12 | 5 | | 13 | 3 | | 14 | 10 | | 15 | 17 | | 16 | 5 | | 17 | 14 | | 18 | 3 | | 19 | 10 | | 20 | 7 | | 21 | 26 | | 22 | 19 | | 23 | 4 | | 24 | 28 | | 25 | 5 | | 26 | 13 | | 27 | 16 | | 28 | 23 | | 29 | 6 | | 30 | 8 | | 31 | 8 | | 32 | 3 | | 33 | 4 | | 34 | 11 | | 35 | 20 | | 36 | 26 | | 37 | 8 | | 38 | 14 | | 39 | 3 | | 40 | 14 | | 41 | 15 | | 42 | 11 | | 43 | 19 | | 44 | 22 | | 45 | 11 | | 46 | 14 | | 47 | 2 | | 48 | 1 | | 49 | 15 |
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| 58.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.41935483870967744 | | totalSentences | 93 | | uniqueOpeners | 39 | |
| 80.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 83 | | matches | | 0 | "Then he ran." | | 1 | "Then he backed onto the" |
| | ratio | 0.024 | |
| 80.24% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 83 | | matches | | 0 | "Her salt-and-pepper hair, cropped close," | | 1 | "She tilted her left wrist;" | | 2 | "She had watched the door" | | 3 | "Her sharp jaw ached from" | | 4 | "He shrugged into a jacket," | | 5 | "His fingers found the Saint" | | 6 | "He didn't see her in" | | 7 | "Her boots hit the wet" | | 8 | "He bolted down the narrow" | | 9 | "She cut around the corner," | | 10 | "She vaulted them without slowing." | | 11 | "His sleeve rode up as" | | 12 | "He didn't answer." | | 13 | "He put on speed." | | 14 | "They left Soho's cramped alleys" | | 15 | "Its horn blared as Herrera" | | 16 | "Her chest heaved, but her" | | 17 | "He turned, rain plastering his" | | 18 | "She slowed, boots sliding on" | | 19 | "His fingers found the medallion" |
| | ratio | 0.349 | |
| 38.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 83 | | matches | | 0 | "The green neon sign above" | | 1 | "Detective Harlow Quinn pressed herself" | | 2 | "Her salt-and-pepper hair, cropped close," | | 3 | "She tilted her left wrist;" | | 4 | "She had watched the door" | | 5 | "Contraband, extortion, worse—the file in" | | 6 | "Her sharp jaw ached from" | | 7 | "A side door banged open." | | 8 | "Tomás Herrera stepped out into" | | 9 | "He shrugged into a jacket," | | 10 | "His fingers found the Saint" | | 11 | "He didn't see her in" | | 12 | "Quinn pushed off the wall." | | 13 | "Her boots hit the wet" | | 14 | "Heads turned from the doorway" | | 15 | "Herrera's head snapped toward her." | | 16 | "He bolted down the narrow" | | 17 | "Quinn followed, military precision driving" | | 18 | "She cut around the corner," | | 19 | "The words punched out between" |
| | ratio | 0.843 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "Now Tomás Herrera, with his" |
| | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 2 | | matches | | 0 | "She had never understood the shape of the thing that took her partner, but she knew the clique's hand guided it." | | 1 | "Now Tomás Herrera, with his saint's medallion and his knife-scarred arm, stood beyond the gate, swallowed by a market that moved every full moon and sold what n…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "The words punched out, her breath burning in her chest" |
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| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 9 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 1 | | effectiveRatio | 0.222 | |