| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1344 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 29.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1344 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "pounding" | | 1 | "glistening" | | 2 | "warmth" | | 3 | "navigating" | | 4 | "gloom" | | 5 | "footsteps" | | 6 | "rhythmic" | | 7 | "echoing" | | 8 | "pulsed" | | 9 | "echoed" | | 10 | "standard" | | 11 | "constructed" | | 12 | "velvet" | | 13 | "silk" | | 14 | "intensity" | | 15 | "tapestry" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was heavy with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | 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 | 1 | | markdownWords | 3 | | totalWords | 1339 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1138 | | uniqueNames | 18 | | maxNameDensity | 1.49 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 17 | | Tomás | 1 | | Herrera | 11 | | Camden | 2 | | High | 1 | | Street | 1 | | Saint | 2 | | Christopher | 2 | | Raven | 1 | | Tube | 2 | | Victorian | 1 | | Spanish | 1 | | Morris | 1 | | Veil | 1 | | Market | 2 | | Town | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Raven" | | 7 | "Victorian" | | 8 | "Morris" |
| | places | | 0 | "Soho" | | 1 | "Camden" | | 2 | "High" | | 3 | "Street" | | 4 | "Veil" | | 5 | "Market" | | 6 | "Town" |
| | globalScore | 0.753 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 1 | | matches | | 0 | "tasted like copper on the back of her ton" |
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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 | 1339 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 98 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 31.88 | | std | 21.5 | | cv | 0.674 | | sampleLengths | | 0 | 71 | | 1 | 24 | | 2 | 39 | | 3 | 89 | | 4 | 18 | | 5 | 55 | | 6 | 12 | | 7 | 13 | | 8 | 52 | | 9 | 17 | | 10 | 18 | | 11 | 23 | | 12 | 3 | | 13 | 55 | | 14 | 42 | | 15 | 45 | | 16 | 22 | | 17 | 37 | | 18 | 9 | | 19 | 26 | | 20 | 63 | | 21 | 11 | | 22 | 5 | | 23 | 57 | | 24 | 27 | | 25 | 19 | | 26 | 7 | | 27 | 21 | | 28 | 72 | | 29 | 16 | | 30 | 51 | | 31 | 13 | | 32 | 20 | | 33 | 75 | | 34 | 6 | | 35 | 21 | | 36 | 29 | | 37 | 8 | | 38 | 38 | | 39 | 30 | | 40 | 41 | | 41 | 39 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 86 | | matches | | 0 | "was panicked" | | 1 | "was cornered" |
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| 19.82% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 185 | | matches | | 0 | "was navigating" | | 1 | "wasn't just fleeing" | | 2 | "was heading" | | 3 | "was walking" | | 4 | "was gaining" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 2 | | flaggedSentences | 6 | | totalSentences | 98 | | ratio | 0.061 | | matches | | 0 | "He wasn't just fleeing; he was navigating." | | 1 | "She wiped her forehead with the back of her glove, her worn leather watch catching the faint light—11:42 PM." | | 2 | "His right hand dipped into his pocket and pulled out a jagged piece of polished ivory—a bone token." | | 3 | "The atmospheric shift, the impossible soundscape echoing from a dead Tube station—it reeked of the same unnatural phenomena that had swallowed DS Morris three years ago." | | 4 | "A vendor—a woman with ash-grey skin and teeth filed to needle points—snapped her jaws at Quinn as she passed." | | 5 | "Quinn didn't flinch; she raised her badge in her left hand, keeping her right on her gun." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 796 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.01256281407035176 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005025125628140704 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 13.66 | | std | 6.53 | | cv | 0.478 | | sampleLengths | | 0 | 17 | | 1 | 18 | | 2 | 9 | | 3 | 16 | | 4 | 11 | | 5 | 14 | | 6 | 10 | | 7 | 3 | | 8 | 16 | | 9 | 20 | | 10 | 10 | | 11 | 14 | | 12 | 8 | | 13 | 7 | | 14 | 24 | | 15 | 11 | | 16 | 15 | | 17 | 18 | | 18 | 13 | | 19 | 19 | | 20 | 23 | | 21 | 4 | | 22 | 6 | | 23 | 2 | | 24 | 13 | | 25 | 18 | | 26 | 15 | | 27 | 10 | | 28 | 9 | | 29 | 17 | | 30 | 18 | | 31 | 21 | | 32 | 2 | | 33 | 3 | | 34 | 19 | | 35 | 13 | | 36 | 23 | | 37 | 9 | | 38 | 15 | | 39 | 18 | | 40 | 11 | | 41 | 9 | | 42 | 25 | | 43 | 17 | | 44 | 5 | | 45 | 15 | | 46 | 22 | | 47 | 9 | | 48 | 26 | | 49 | 3 |
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| 52.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.35714285714285715 | | totalSentences | 98 | | uniqueOpeners | 35 | |
| 39.22% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 85 | | matches | | 0 | "Instead, he veered down a" |
| | ratio | 0.012 | |
| 88.24% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 85 | | matches | | 0 | "His dark curls plastered against" | | 1 | "He ducked left, cutting hard" | | 2 | "He shoved past a couple" | | 3 | "He rounded the corner onto" | | 4 | "He wasn't just fleeing; he" | | 5 | "She hit the mouth of" | | 6 | "She wiped her forehead with" | | 7 | "She approached the door." | | 8 | "He was heading down into" | | 9 | "She unclipped her heavy flash" | | 10 | "She descended three steps at" | | 11 | "He held up his left" | | 12 | "His right hand dipped into" | | 13 | "Her target sight sat steady" | | 14 | "He didn't drop the token." | | 15 | "He pressed the bone token" | | 16 | "Her instincts screamed at her" | | 17 | "She remembered the cold, empty" | | 18 | "She was walking into a" | | 19 | "She looked down at her" |
| | ratio | 0.329 | |
| 18.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 85 | | matches | | 0 | "Rain lashed against the soot-stained" | | 1 | "Detective Harlow Quinn adjusted her" | | 2 | "His dark curls plastered against" | | 3 | "He ducked left, cutting hard" | | 4 | "Quinn’s voice cracked through the" | | 5 | "Herrera didn't slow." | | 6 | "He shoved past a couple" | | 7 | "He rounded the corner onto" | | 8 | "Quinn vaulted over a puddle," | | 9 | "Herrera was panicked, but his" | | 10 | "He wasn't just fleeing; he" | | 11 | "A Saint Christopher medallion swung" | | 12 | "She hit the mouth of" | | 13 | "Quinn slid to a halt," | | 14 | "She wiped her forehead with" | | 15 | "The night air smelled of" | | 16 | "She approached the door." | | 17 | "A rusted iron latch hung" | | 18 | "Quinn took a breath, drawing" | | 19 | "The door swung inward with" |
| | ratio | 0.882 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 85 | | matches | | 0 | "If she went through that" | | 1 | "Now, it bustled with impossible" |
| | ratio | 0.024 | |
| 61.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 6 | | matches | | 0 | "A Saint Christopher medallion swung wildly from his neck, catching the ambient glare of a distinctive green neon sign buzzing above *The Raven's Nest*." | | 1 | "Quinn slid to a halt, her chest heaving, rain trickling into her eyes." | | 2 | "The atmospheric shift, the impossible soundscape echoing from a dead Tube station—it reeked of the same unnatural phenomena that had swallowed DS Morris three y…" | | 3 | "Overhead, floating lanterns burned with violet and green flames, casting eerie illumination over crowds of figures draped in heavy cloaks, silk tunics, and tail…" | | 4 | "He turned hard right, darting into a narrow aisle framed by hanging carpets that reeked of old incense." | | 5 | "Herrera was gaining ground, weaving through the labyrinthine aisles with the ease of someone who frequented the black market." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "Herrera said, his Spanish accent thick with exhaustion" | | 1 | "Quinn said, her voice dropping into a dangerous, icy register" |
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| 13.64% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "He pressed (press)" | | 1 | "she muttered (mutter)" | | 2 | "she shouted (shout)" |
| | dialogueSentences | 22 | | tagDensity | 0.318 | | leniency | 0.636 | | rawRatio | 0.429 | | effectiveRatio | 0.273 | |