| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1411 | | 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) | |
| 25.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1411 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "electric" | | 1 | "echo" | | 2 | "footsteps" | | 3 | "velvet" | | 4 | "gleaming" | | 5 | "flicker" | | 6 | "charm" | | 7 | "unreadable" | | 8 | "weight" | | 9 | "familiar" | | 10 | "crystallized" | | 11 | "resonated" | | 12 | "echoed" | | 13 | "silence" | | 14 | "lilt" | | 15 | "flickered" | | 16 | "pulse" |
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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) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | |
| 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 | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1394 | | ratio | 0 | | matches | (empty) | |
| 89.29% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 1 | | matches | | 0 | "She trained the beam down the tunnel, where the wet stone reflected it back as countless tiny eyes—probably rats, she to…" |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1369 | | uniqueNames | 22 | | maxNameDensity | 0.8 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 2 | | Harlow | 1 | | Quinn | 11 | | Berwick | 1 | | Street | 1 | | Herrera | 11 | | Raven | 1 | | Nest | 1 | | Anatomy | 1 | | Melancholy | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Met | 1 | | Morris | 5 | | Light | 1 | | Point | 1 | | Camden | 1 | | Saint | 1 | | Christopher | 1 | | Silence | 1 | | Water | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Raven" | | 4 | "Anatomy" | | 5 | "Market" | | 6 | "Met" | | 7 | "Morris" | | 8 | "Light" | | 9 | "Camden" | | 10 | "Saint" | | 11 | "Christopher" | | 12 | "Silence" | | 13 | "Water" |
| | places | | 0 | "Soho" | | 1 | "Berwick" | | 2 | "Street" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 56.53% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.435 | | wordCount | 1394 | | matches | | 0 | "not the absence of light, but a presence of something" | | 1 | "not footsteps now, but a low, moaning vibration" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 41 | | std | 23.87 | | cv | 0.582 | | sampleLengths | | 0 | 80 | | 1 | 48 | | 2 | 20 | | 3 | 74 | | 4 | 58 | | 5 | 11 | | 6 | 36 | | 7 | 48 | | 8 | 71 | | 9 | 6 | | 10 | 80 | | 11 | 75 | | 12 | 2 | | 13 | 52 | | 14 | 54 | | 15 | 77 | | 16 | 42 | | 17 | 30 | | 18 | 8 | | 19 | 56 | | 20 | 49 | | 21 | 31 | | 22 | 43 | | 23 | 53 | | 24 | 24 | | 25 | 30 | | 26 | 17 | | 27 | 12 | | 28 | 5 | | 29 | 21 | | 30 | 25 | | 31 | 80 | | 32 | 42 | | 33 | 34 |
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| 95.61% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 109 | | matches | | 0 | "been replaced" | | 1 | "was meant" | | 2 | "been taught" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 214 | | matches | | 0 | "was coming" | | 1 | "was already moving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 113 | | ratio | 0.115 | | matches | | 0 | "Thirty yards ahead, the figure ducked left into an alley—a flash of a yellow hoodie, seen the same shade moments before a back door had splintered open on Berwick Street." | | 1 | "Inside, the dim room bristled with patrons—too still, too quiet for a Soho dive at midnight." | | 2 | "His hand found a leather-bound volume—The Anatomy of Melancholy—and pulled." | | 3 | "The air changed—from stale beer to something underground, mineral and cold." | | 4 | "The air hummed with languages Quinn couldn't place—some too guttural, others too melodic for human throats." | | 5 | "The Met's reports on these under-warrens were vague at best—most officers retired before they could fill in the blanks." | | 6 | "Her boots crunched on scattered bone tokens—small discs carved from vertebrae—that the market's patrons seemed to carry like passports." | | 7 | "Her reflection stared back—salt-and-pepper hair plastered to her skull, sharp jaw set, the worn leather watch on her left wrist marking the seconds with military precision." | | 8 | "The darkness closed in faster than she'd anticipated—not the absence of light, but a presence of something that ate it." | | 9 | "She hadn't even called it in—this was meant to be a routine surveillance report, not a foot chase into a supernatural black market." | | 10 | "She trained the beam down the tunnel, where the wet stone reflected it back as countless tiny eyes—probably rats, she told herself." | | 11 | "A sound reached her—not footsteps now, but a low, moaning vibration that resonated in her molars." | | 12 | "The choice compressed into a single point of pressure between her shoulder blades—the instinct to pursue warring with the training that screamed ambush, retreat, survive." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1400 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same precise, forward-leaning gait" |
| | adverbCount | 40 | | adverbRatio | 0.02857142857142857 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004285714285714286 | |
| 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 | 12.34 | | std | 7.11 | | cv | 0.576 | | sampleLengths | | 0 | 8 | | 1 | 24 | | 2 | 18 | | 3 | 30 | | 4 | 8 | | 5 | 17 | | 6 | 23 | | 7 | 13 | | 8 | 7 | | 9 | 18 | | 10 | 19 | | 11 | 14 | | 12 | 23 | | 13 | 16 | | 14 | 13 | | 15 | 11 | | 16 | 18 | | 17 | 4 | | 18 | 7 | | 19 | 4 | | 20 | 10 | | 21 | 18 | | 22 | 4 | | 23 | 24 | | 24 | 13 | | 25 | 11 | | 26 | 6 | | 27 | 9 | | 28 | 11 | | 29 | 15 | | 30 | 4 | | 31 | 26 | | 32 | 6 | | 33 | 21 | | 34 | 9 | | 35 | 16 | | 36 | 16 | | 37 | 18 | | 38 | 6 | | 39 | 13 | | 40 | 19 | | 41 | 18 | | 42 | 19 | | 43 | 2 | | 44 | 19 | | 45 | 13 | | 46 | 20 | | 47 | 21 | | 48 | 10 | | 49 | 23 |
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| 56.34% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3805309734513274 | | totalSentences | 113 | | uniqueOpeners | 43 | |
| 96.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 104 | | matches | | 0 | "Distantly, water dripped in a" | | 1 | "Then he descended, swallowed by" | | 2 | "Then, from the leftmost branch," |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 104 | | matches | | 0 | "It hammered the city in" | | 1 | "She'd been watching the warehouse" | | 2 | "Her shout bounced off wet" | | 3 | "She rounded the corner into" | | 4 | "He didn't look back." | | 5 | "His hand found a leather-bound" | | 6 | "She crossed the room in" | | 7 | "Her boots crunched on scattered" | | 8 | "Her reflection stared back—salt—and—pepper hair" | | 9 | "His eyes, dark and unreadable," | | 10 | "Her radio crackled." | | 11 | "She hadn't even called it" | | 12 | "They'd file her alongside the" | | 13 | "She trained the beam down" | | 14 | "Her left foot lifted to" | | 15 | "She squinted into the blackness." | | 16 | "Her shout echoed incorrectly, bouncing" | | 17 | "She blinked it away, staring" | | 18 | "She stepped into the left" |
| | ratio | 0.183 | |
| 41.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 104 | | matches | | 0 | "The rain hadn't let up" | | 1 | "It hammered the city in" | | 2 | "Detective Harlow Quinn's leather soles" | | 3 | "She'd been watching the warehouse" | | 4 | "Tomás Herrera had slipped through" | | 5 | "Her shout bounced off wet" | | 6 | "The hollow echo of footsteps" | | 7 | "She rounded the corner into" | | 8 | "A rusted sign above read" | | 9 | "Quinn vaulted the railing, landing" | | 10 | "The grate gave under her" | | 11 | "Maps and faded photographs papered" | | 12 | "A bartender with a waxed" | | 13 | "Herrera was already halfway across" | | 14 | "Quinn drew her baton." | | 15 | "He didn't look back." | | 16 | "His hand found a leather-bound" | | 17 | "The entire shelf swung inward" | | 18 | "Herrera vanished into it." | | 19 | "She crossed the room in" |
| | ratio | 0.837 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 31.25% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 10 | | matches | | 0 | "It hammered the city in silver sheets, turning Soho's streets into black mirrors that reflected the electric smear of neon signs and traffic lights." | | 1 | "Stalls cobbled from shipping pallets and velvet drapes lined the old tracks, their wares gleaming under lanterns that burned without flame." | | 2 | "The stallkeeper with the too-many-fingers snapped his goods under a cloth and spat a word that made the lanterns flicker." | | 3 | "Herrera leapt over a trough of bubbling iridescent liquid and darted toward a second escalator that plunged deeper into the dark." | | 4 | "Quinn had read enough case files about people who ventured too far into Camden's forgotten tunnels and returned blank-eyed, or not at all." | | 5 | "The darkness closed in faster than she'd anticipated—not the absence of light, but a presence of something that ate it." | | 6 | "The decision hadn't crystallized yet, but her body was already moving, that same precise, forward-leaning gait that had carried her through riot lines and hosta…" | | 7 | "And the thing that killed him might be waiting in this dark, wearing Herrera's face or no face at all." | | 8 | "A sound reached her—not footsteps now, but a low, moaning vibration that resonated in her molars." | | 9 | "The moaning grew louder, or maybe that was her pulse hammering in her ears." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Her shout (shout)" | | 1 | "Her shout (shout)" |
| | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |