| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "Tommy said quietly [quietly]" |
| | dialogueSentences | 21 | | tagDensity | 0.524 | | leniency | 1 | | rawRatio | 0.091 | | effectiveRatio | 0.091 | |
| 89.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1399 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sharply" | | 1 | "slightly" | | 2 | "very" |
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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) | |
| 46.39% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1399 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "footsteps" | | 1 | "echoed" | | 2 | "scanned" | | 3 | "gloom" | | 4 | "rhythmic" | | 5 | "vibrated" | | 6 | "sense of" | | 7 | "profound" | | 8 | "silk" | | 9 | "velvet" | | 10 | "chaotic" | | 11 | "glistening" | | 12 | "warmth" | | 13 | "perfect" | | 14 | "resonated" |
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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 | 116 | | matches | (empty) | |
| 93.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 116 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1397 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.38% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1257 | | uniqueNames | 15 | | maxNameDensity | 1.35 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 17 | | Soho | 1 | | Static | 1 | | Morris | 1 | | London | 1 | | Veil | 2 | | Market | 1 | | Tube | 1 | | Metropolitan | 1 | | Police | 1 | | Herrera | 2 | | Saint | 1 | | Christopher | 1 | | Glock | 1 | | Tommy | 5 |
| | persons | | 0 | "Quinn" | | 1 | "Static" | | 2 | "Morris" | | 3 | "Market" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Tommy" |
| | places | | | globalScore | 0.824 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like grinding stones" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1397 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 126 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 25.4 | | std | 15.17 | | cv | 0.597 | | sampleLengths | | 0 | 2 | | 1 | 29 | | 2 | 48 | | 3 | 29 | | 4 | 20 | | 5 | 10 | | 6 | 50 | | 7 | 33 | | 8 | 9 | | 9 | 13 | | 10 | 54 | | 11 | 52 | | 12 | 5 | | 13 | 21 | | 14 | 45 | | 15 | 11 | | 16 | 38 | | 17 | 64 | | 18 | 43 | | 19 | 7 | | 20 | 44 | | 21 | 12 | | 22 | 15 | | 23 | 33 | | 24 | 13 | | 25 | 8 | | 26 | 43 | | 27 | 48 | | 28 | 36 | | 29 | 37 | | 30 | 19 | | 31 | 19 | | 32 | 33 | | 33 | 10 | | 34 | 22 | | 35 | 21 | | 36 | 7 | | 37 | 26 | | 38 | 13 | | 39 | 33 | | 40 | 23 | | 41 | 3 | | 42 | 42 | | 43 | 20 | | 44 | 10 | | 45 | 33 | | 46 | 15 | | 47 | 26 | | 48 | 43 | | 49 | 22 |
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| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 116 | | matches | | |
| 67.99% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 202 | | matches | | 0 | "was meticulously polishing" | | 1 | "was weaving" | | 2 | "was heading" | | 3 | "was tending" |
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| 52.15% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 126 | | ratio | 0.032 | | matches | | 0 | "The suspect’s footsteps echoed—a rapid, uneven *slap-slap-slap* against the cobblestones." | | 1 | "The ground here wasn't stone anymore; it was a patchwork of warped wood and stained rugs." | | 2 | "The contents spilled across the floor—shards of something that glowed with a sickly, pale luminescence." | | 3 | "His voice didn't travel through the air; it resonated directly inside her mind." |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1267 | | adjectiveStacks | 3 | | stackExamples | | 0 | "heavy, moth-eaten velvet." | | 1 | "small, leather-bound satchel" | | 2 | "heavy, charcoal-grey coats" |
| | adverbCount | 30 | | adverbRatio | 0.02367797947908445 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.007892659826361484 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 11.09 | | std | 6.69 | | cv | 0.604 | | sampleLengths | | 0 | 2 | | 1 | 9 | | 2 | 20 | | 3 | 18 | | 4 | 15 | | 5 | 15 | | 6 | 4 | | 7 | 2 | | 8 | 23 | | 9 | 20 | | 10 | 2 | | 11 | 8 | | 12 | 14 | | 13 | 11 | | 14 | 10 | | 15 | 3 | | 16 | 12 | | 17 | 9 | | 18 | 14 | | 19 | 10 | | 20 | 9 | | 21 | 9 | | 22 | 4 | | 23 | 4 | | 24 | 23 | | 25 | 11 | | 26 | 4 | | 27 | 12 | | 28 | 13 | | 29 | 9 | | 30 | 2 | | 31 | 28 | | 32 | 5 | | 33 | 4 | | 34 | 17 | | 35 | 20 | | 36 | 12 | | 37 | 13 | | 38 | 4 | | 39 | 7 | | 40 | 26 | | 41 | 12 | | 42 | 13 | | 43 | 17 | | 44 | 34 | | 45 | 8 | | 46 | 9 | | 47 | 26 | | 48 | 7 | | 49 | 2 |
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| 44.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3412698412698413 | | totalSentences | 126 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 109 | | matches | (empty) | | ratio | 0 | |
| 80.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 109 | | matches | | 0 | "She tightened her grip on" | | 1 | "He moved with a strange," | | 2 | "She vaulted over a low" | | 3 | "She dove into the darkness," | | 4 | "She rounded a corner and" | | 5 | "It wasn't the subway." | | 6 | "It was deeper, more organic," | | 7 | "She approached the door, her" | | 8 | "Her thumb brushed the leather" | | 9 | "She shoved the door open." | | 10 | "It was a cathedral of" | | 11 | "He was weaving through the" | | 12 | "He looked panicked now, glancing" | | 13 | "He clutched a small, leather-bound" | | 14 | "He dove beneath a low-hanging" | | 15 | "She collided with a massive" | | 16 | "His eyes flashed a momentary," | | 17 | "She caught sight of the" | | 18 | "He was heading towards the" | | 19 | "She slowed her pace, her" |
| | ratio | 0.349 | |
| 1.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 109 | | matches | | 0 | "The shout died in the" | | 1 | "The suspect didn't even flinch," | | 2 | "Harlow Quinn pushed through a" | | 3 | "Rain lashed against her face," | | 4 | "She tightened her grip on" | | 5 | "The target was fast." | | 6 | "He moved with a strange," | | 7 | "Quinn barked into the shoulder" | | 8 | "The rain seemed to swallow" | | 9 | "She vaulted over a low" | | 10 | "The scent of damp asphalt" | | 11 | "Quinn didn't hesitate." | | 12 | "She dove into the darkness," | | 13 | "The alley was a throat" | | 14 | "Water cascaded from rusted gutters," | | 15 | "The suspect’s footsteps echoed—a rapid," | | 16 | "She rounded a corner and" | | 17 | "The man was gone." | | 18 | "Quinn scanned the gloom." | | 19 | "A heavy metal door stood" |
| | ratio | 0.917 | |
| 45.87% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 109 | | matches | | 0 | "Even in the dim light," |
| | ratio | 0.009 | |
| 7.39% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 11 | | matches | | 0 | "Rain lashed against her face, stinging her eyes and blurring the neon glare of Soho." | | 1 | "He moved with a strange, jerky rhythm, skipping over puddles without losing momentum, his silhouette cutting a jagged line through the hazy streetlights." | | 2 | "Water cascaded from rusted gutters, creating miniature waterfalls that splashed against the refuse piles." | | 3 | "The street noise vanished, replaced by a thick, suffocating atmosphere that tasted of incense and scorched copper." | | 4 | "Quinn stepped down a flight of stone stairs that felt far too steep, far too old for a London basement." | | 5 | "A man at a nearby stall was meticulously polishing a collection of jagged, translucent teeth, while a woman in a hooded cloak bartered with a creature that sat …" | | 6 | "He clutched a small, leather-bound satchel to his chest as if it held his very soul." | | 7 | "She collided with a massive man carrying a crate of something that smelled of old seawater and rot." | | 8 | "He was tending to a customer who sat slumped on a stool, a dark stain spreading across his shirt." | | 9 | "He adjusted a Saint Christopher medallion hanging around his neck, his fingers lingering on the silver." | | 10 | "The contents spilled across the floor—shards of something that glowed with a sickly, pale luminescence." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn shouted, though the word felt thin in the heavy air" | | 1 | "Quinn demanded, her voice low and hard" | | 2 | "Quinn reached, her movements instinctive" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 5 | | fancyTags | | 0 | "Quinn barked (bark)" | | 1 | "Quinn shouted (shout)" | | 2 | "the man growled (growl)" | | 3 | "Quinn snapped (snap)" | | 4 | "Quinn demanded (demand)" |
| | dialogueSentences | 21 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.556 | | effectiveRatio | 0.476 | |