| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1254 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "quickly" | | 1 | "sharply" | | 2 | "utterly" |
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| 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) | |
| 16.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1254 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "flickered" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "pulse" | | 4 | "quickened" | | 5 | "dancing" | | 6 | "shimmered" | | 7 | "otherworldly" | | 8 | "familiar" | | 9 | "glinting" | | 10 | "scanning" | | 11 | "pounding" | | 12 | "resolve" | | 13 | "flicked" | | 14 | "glint" | | 15 | "stomach" | | 16 | "trembled" | | 17 | "weight" |
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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 | 107 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 107 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | 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 | 2 | | markdownWords | 2 | | totalWords | 1243 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1176 | | uniqueNames | 13 | | maxNameDensity | 1.96 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 23 | | Raven | 1 | | Nest | 1 | | Veil | 2 | | Market | 2 | | Morris | 1 | | London | 1 | | Tube | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Market" | | 5 | "Morris" | | 6 | "Herrera" | | 7 | "Saint" | | 8 | "Christopher" |
| | places | | | globalScore | 0.522 | | windowScore | 0 | |
| 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 | 1 | | per1kWords | 0.805 | | wordCount | 1243 | | matches | | 0 | "Not just any key—a skeletal hand, fingers curled into a crude but unmistakable shape" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 113 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 42.86 | | std | 27.33 | | cv | 0.638 | | sampleLengths | | 0 | 82 | | 1 | 75 | | 2 | 75 | | 3 | 76 | | 4 | 35 | | 5 | 73 | | 6 | 53 | | 7 | 73 | | 8 | 3 | | 9 | 82 | | 10 | 77 | | 11 | 82 | | 12 | 46 | | 13 | 51 | | 14 | 57 | | 15 | 14 | | 16 | 25 | | 17 | 25 | | 18 | 21 | | 19 | 17 | | 20 | 10 | | 21 | 38 | | 22 | 12 | | 23 | 27 | | 24 | 41 | | 25 | 52 | | 26 | 5 | | 27 | 10 | | 28 | 6 |
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| 95.43% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 107 | | matches | | 0 | "being hunted" | | 1 | "was gone" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 199 | | matches | | 0 | "was already moving" | | 1 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 113 | | ratio | 0.08 | | matches | | 0 | "She kept her eyes locked on the figure ahead—tall, lean, moving with the kind of purpose that only came from knowing you were being hunted." | | 1 | "The suspect—dressed in a dark hoodie, face obscured—ducked into a narrow side street, and Quinn followed, her instincts screaming that this was the moment." | | 2 | "She rounded a corner and saw him—no, *her*—a woman, hood now discarded, dark hair plastered to her face as she fumbled with something at the base of a rusted fire escape." | | 3 | "The air grew thicker, warmer, as if the city above had been a lie and this was the real London—hidden, breathing, alive with secrets." | | 4 | "A figure moved past her, close enough that she caught the scent of his cologne—warm, spiced, familiar." | | 5 | "But the market was a labyrinth, the stalls packed tight, the patrons a mix of faces she couldn’t place—some human, some..." | | 6 | "She caught glimpses of the woman—dark hair, a flash of a leather jacket—but the market swallowed her whole." | | 7 | "Not just any key—a skeletal hand, fingers curled into a crude but unmistakable shape." | | 8 | "Then, from the darkness, a voice—smooth, amused, and utterly inhuman." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1190 | | adjectiveStacks | 1 | | stackExamples | | 0 | "ahead—tall, lean, moving" |
| | adverbCount | 39 | | adverbRatio | 0.03277310924369748 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0067226890756302525 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 11 | | std | 7.46 | | cv | 0.678 | | sampleLengths | | 0 | 14 | | 1 | 18 | | 2 | 25 | | 3 | 21 | | 4 | 4 | | 5 | 21 | | 6 | 22 | | 7 | 3 | | 8 | 24 | | 9 | 5 | | 10 | 18 | | 11 | 7 | | 12 | 3 | | 13 | 31 | | 14 | 3 | | 15 | 13 | | 16 | 9 | | 17 | 9 | | 18 | 3 | | 19 | 6 | | 20 | 7 | | 21 | 3 | | 22 | 13 | | 23 | 20 | | 24 | 3 | | 25 | 3 | | 26 | 13 | | 27 | 15 | | 28 | 7 | | 29 | 3 | | 30 | 5 | | 31 | 9 | | 32 | 9 | | 33 | 22 | | 34 | 2 | | 35 | 18 | | 36 | 5 | | 37 | 15 | | 38 | 11 | | 39 | 15 | | 40 | 12 | | 41 | 8 | | 42 | 24 | | 43 | 23 | | 44 | 18 | | 45 | 3 | | 46 | 16 | | 47 | 20 | | 48 | 22 | | 49 | 13 |
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| 40.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.2743362831858407 | | totalSentences | 113 | | uniqueOpeners | 31 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 99 | | matches | | 0 | "Then she was gone, slipping" | | 1 | "Then he was moving past" | | 2 | "Then, a shout." | | 3 | "Then the woman stopped." | | 4 | "Then, from the darkness, a" |
| | ratio | 0.051 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 99 | | matches | | 0 | "She kept her eyes locked" | | 1 | "She knew the game." | | 2 | "Her leather watch, worn smooth" | | 3 | "She didn’t slow." | | 4 | "She rounded a corner and" | | 5 | "She’d heard the whispers, the" | | 6 | "She could call it in." | | 7 | "Her partner, lost three years" | | 8 | "She crouched, her salt-and-pepper hair" | | 9 | "She hesitated only a second" | | 10 | "She was out of her" | | 11 | "His olive skin was slick" | | 12 | "Their eyes met, and for" | | 13 | "She didn’t have time for" | | 14 | "She caught glimpses of the" | | 15 | "She broke through the crowd" | | 16 | "She sprinted after her, her" | | 17 | "She gained ground, close enough" | | 18 | "She was young." | | 19 | "Her eyes were wide, desperate," |
| | ratio | 0.222 | |
| 61.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 99 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Detective Harlow Quinn’s boots splashed" | | 2 | "She kept her eyes locked" | | 3 | "The suspect had been slippery," | | 4 | "She knew the game." | | 5 | "Her leather watch, worn smooth" | | 6 | "The green neon sign of" | | 7 | "She didn’t slow." | | 8 | "The suspect—dressed in a dark" | | 9 | "The break in the chase." | | 10 | "The alley was tighter, the" | | 11 | "The suspect’s footsteps echoed, then" | | 12 | "Quinn’s pulse quickened." | | 13 | "She rounded a corner and" | | 14 | "A manhole cover." | | 15 | "The woman’s fingers worked quickly," | | 16 | "Quinn’s hand went to her" | | 17 | "The woman wasn’t armed, not" | | 18 | "That wasn’t just an escape" | | 19 | "That was a descent into" |
| | ratio | 0.798 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 72.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 5 | | matches | | 0 | "A black market beneath the streets, moving with the full moon, trading in things that didn’t belong in this world." | | 1 | "And Quinn had spent too many nights staring at the cold case files, the unsolved disappearances, the things that didn’t add up." | | 2 | "The air grew thicker, warmer, as if the city above had been a lie and this was the real London—hidden, breathing, alive with secrets." | | 3 | "When her boots hit solid ground, she found herself in a tunnel, the walls lined with flickering lanterns that cast long, dancing shadows." | | 4 | "Jars of swirling liquid, vials of powder that shimmered like crushed gemstones, bundles of herbs that smelled sharp and otherworldly." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "the woman said, her voice steady despite the fear in her eyes" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |