| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.432 | | leniency | 0.865 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1643 | | 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) | |
| 30.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1643 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "weight" | | 1 | "flicker" | | 2 | "echoed" | | 3 | "rhythmic" | | 4 | "scanned" | | 5 | "pristine" | | 6 | "standard" | | 7 | "dancing" | | 8 | "etched" | | 9 | "gloom" | | 10 | "sense of" | | 11 | "silence" | | 12 | "tracing" | | 13 | "palpable" | | 14 | "echo" | | 15 | "velvet" | | 16 | "silk" | | 17 | "familiar" |
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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 | 109 | | matches | (empty) | |
| 51.11% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 4 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1637 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1269 | | uniqueNames | 14 | | maxNameDensity | 1.65 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Quinn | 21 | | Tube | 2 | | Miller | 12 | | Morris | 1 | | North | 1 | | South | 1 | | Northern | 1 | | Line | 1 | | Veil | 2 | | Looking | 1 | | Victorian | 1 | | Compass | 1 | | Kowalski | 1 |
| | persons | | 0 | "Camden" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" | | 4 | "Kowalski" |
| | places | | | globalScore | 0.673 | | windowScore | 0.667 | |
| 37.64% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like teeth" | | 1 | "felt like vellum" | | 2 | "void that seemed to swallow the light from her torch" | | 3 | "cloaks that seemed to trail shadows like ink" |
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| 77.83% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.222 | | wordCount | 1637 | | matches | | 0 | "not rot, but jasmine, sulfur" | | 1 | "not a heartbeat, but the collective murmur of a thousand transactions" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 32.74 | | std | 16.97 | | cv | 0.518 | | sampleLengths | | 0 | 79 | | 1 | 31 | | 2 | 10 | | 3 | 32 | | 4 | 32 | | 5 | 35 | | 6 | 71 | | 7 | 12 | | 8 | 22 | | 9 | 44 | | 10 | 28 | | 11 | 54 | | 12 | 22 | | 13 | 20 | | 14 | 33 | | 15 | 61 | | 16 | 27 | | 17 | 56 | | 18 | 32 | | 19 | 48 | | 20 | 31 | | 21 | 29 | | 22 | 22 | | 23 | 36 | | 24 | 5 | | 25 | 15 | | 26 | 47 | | 27 | 29 | | 28 | 53 | | 29 | 23 | | 30 | 39 | | 31 | 34 | | 32 | 25 | | 33 | 6 | | 34 | 53 | | 35 | 4 | | 36 | 32 | | 37 | 35 | | 38 | 8 | | 39 | 2 | | 40 | 35 | | 41 | 66 | | 42 | 21 | | 43 | 37 | | 44 | 33 | | 45 | 36 | | 46 | 31 | | 47 | 22 | | 48 | 49 | | 49 | 30 |
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| 92.39% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 109 | | matches | | 0 | "been opened" | | 1 | "were folded" | | 2 | "was lost" | | 3 | "was draped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 203 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 130 | | ratio | 0.062 | | matches | | 0 | "His throat had been opened with surgical precision—a single, clean line that should have sprayed the entire interior with crimson." | | 1 | "She didn't look at the face; she looked at the details." | | 2 | "It reminded her too much of the night Morris vanished—the same static in the air, the same sense of the world thinning at the edges." | | 3 | "The needle didn't point toward the tunnel exit; it jerked erratically, swinging toward a bricked-up archway at the far end of the platform." | | 4 | "She was Looking for the gap—the inconsistency in the architecture that every Victorian station possessed." | | 5 | "But as the gap widened, a new scent drifted out—not rot, but jasmine, sulfur, and expensive tobacco." | | 6 | "Figures moved between the stalls—some tall and spindly, others shrouded in heavy cloaks that seemed to trail shadows like ink." | | 7 | "The hum she had heard through the wall was louder here—not a heartbeat, but the collective murmur of a thousand transactions." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1284 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.019470404984423675 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.008566978193146417 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 12.59 | | std | 6.86 | | cv | 0.544 | | sampleLengths | | 0 | 14 | | 1 | 22 | | 2 | 17 | | 3 | 26 | | 4 | 11 | | 5 | 20 | | 6 | 10 | | 7 | 14 | | 8 | 7 | | 9 | 11 | | 10 | 5 | | 11 | 9 | | 12 | 18 | | 13 | 18 | | 14 | 17 | | 15 | 5 | | 16 | 19 | | 17 | 9 | | 18 | 18 | | 19 | 20 | | 20 | 8 | | 21 | 4 | | 22 | 11 | | 23 | 11 | | 24 | 9 | | 25 | 12 | | 26 | 23 | | 27 | 16 | | 28 | 12 | | 29 | 3 | | 30 | 23 | | 31 | 11 | | 32 | 11 | | 33 | 6 | | 34 | 8 | | 35 | 14 | | 36 | 20 | | 37 | 7 | | 38 | 26 | | 39 | 15 | | 40 | 21 | | 41 | 25 | | 42 | 8 | | 43 | 15 | | 44 | 4 | | 45 | 6 | | 46 | 27 | | 47 | 23 | | 48 | 7 | | 49 | 25 |
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| 60.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3923076923076923 | | totalSentences | 130 | | uniqueOpeners | 51 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 103 | | matches | (empty) | | ratio | 0 | |
| 68.54% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 103 | | matches | | 0 | "She reached the bottom where" | | 1 | "He didn't look up from" | | 2 | "He clicked a cheap ballpoint" | | 3 | "Her sharp jaw tightened as" | | 4 | "His throat had been opened" | | 5 | "She pulled a pair of" | | 6 | "She didn't look at the" | | 7 | "She pried the stiff fingers" | | 8 | "It was a token, ivory-white" | | 9 | "She didn't mention the way" | | 10 | "It reminded her too much" | | 11 | "She moved her search to" | | 12 | "Her fingers brushed something hard" | | 13 | "She pulled it out." | | 14 | "It was a small brass" | | 15 | "She stood and walked out" | | 16 | "She looked at the compass" | | 17 | "It pointed straight through the" | | 18 | "She knelt, shining her light" | | 19 | "She fished it out with" |
| | ratio | 0.379 | |
| 13.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 103 | | matches | | 0 | "The descent into the guts" | | 1 | "Harlow Quinn shifted her weight," | | 2 | "Salt-and-pepper hair, cropped close to" | | 3 | "Each step echoed with a" | | 4 | "She reached the bottom where" | | 5 | "Sergeant Miller stood by the" | | 6 | "He didn't look up from" | | 7 | "He clicked a cheap ballpoint" | | 8 | "Quinn ducked under the tape." | | 9 | "Her sharp jaw tightened as" | | 10 | "Miller gestured with his chin" | | 11 | "Quinn moved toward the carriage." | | 12 | "The metal skin of the" | | 13 | "A young man sat upright" | | 14 | "His throat had been opened" | | 15 | "Quinn knelt, her boots crunching" | | 16 | "Miller stepped into the carriage," | | 17 | "Quinn pointed to the victim's" | | 18 | "The soles were pristine white," | | 19 | "Miller shrugged, his shadow dancing" |
| | ratio | 0.893 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 103 | | matches | (empty) | | ratio | 0 | |
| 61.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 6 | | matches | | 0 | "The metal skin of the train was cold, sweating a thin film of grime that clung to her fingertips." | | 1 | "His throat had been opened with surgical precision—a single, clean line that should have sprayed the entire interior with crimson." | | 2 | "It was a token, ivory-white and heavy, etched with symbols that looked like teeth." | | 3 | "She didn't mention the way the surface felt warm against her skin, or the faint vibration that hummed through the plastic." | | 4 | "A thick patina of verdigris coated the edges, but the face remained clear, etched with protective sigils that didn't correspond to any North or South she recogn…" | | 5 | "The sound was hollow, a deep, resonant echo that traveled far beyond the thickness of a standard wall." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 4 | | matches | | 0 | "Miller shrugged, his shadow dancing against the peeling advertisements on the walls" | | 1 | "Quinn said, her voice dropping to a low, hard rasp" | | 2 | "Miller asked, though his voice lacked its earlier bravado" | | 3 | "Eva said, her voice steady despite the chaos of the market" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 6 | | fancyTags | | 0 | "Miller sighed (sigh)" | | 1 | "Quinn noted (note)" | | 2 | "Quinn pressed (press)" | | 3 | "Miller snapped (snap)" | | 4 | "Miller warned (warn)" | | 5 | "a voice whispered (whisper)" |
| | dialogueSentences | 37 | | tagDensity | 0.324 | | leniency | 0.649 | | rawRatio | 0.5 | | effectiveRatio | 0.324 | |