| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1159 | | totalAiIsmAdverbs | 1 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1159 | | totalAiIsms | 31 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | |
| | highlights | | 0 | "glistening" | | 1 | "silence" | | 2 | "chaotic" | | 3 | "streaming" | | 4 | "raced" | | 5 | "jaw clenched" | | 6 | "reminder" | | 7 | "flicker" | | 8 | "familiar" | | 9 | "whisper" | | 10 | "unravel" | | 11 | "loomed" | | 12 | "surreal" | | 13 | "clandestine" | | 14 | "echoes" | | 15 | "weight" | | 16 | "anticipation" | | 17 | "stark" | | 18 | "sense of" | | 19 | "fractured" | | 20 | "echoing" | | 21 | "resonated" | | 22 | "amidst" | | 23 | "profound" | | 24 | "shimmered" | | 25 | "etched" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
| | 1 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "jaw clenched" | | 1 | "A flicker of fear" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 70 | | matches | | 0 | "d in surprise" | | 1 | "A flicker of fear" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1140 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.64% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1137 | | uniqueNames | 8 | | maxNameDensity | 1.41 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 16 | | Quinn | 2 | | London | 4 | | Jane | 1 | | Doe | 1 | | Morris | 2 | | Veil | 1 | | Market | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Jane" | | 3 | "Doe" | | 4 | "Morris" | | 5 | "Market" |
| | places | | | globalScore | 0.796 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.877 | | wordCount | 1140 | | matches | | 0 | "not only goods but whispers laced with promises" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 39.31 | | std | 19.9 | | cv | 0.506 | | sampleLengths | | 0 | 78 | | 1 | 47 | | 2 | 56 | | 3 | 34 | | 4 | 54 | | 5 | 9 | | 6 | 72 | | 7 | 81 | | 8 | 32 | | 9 | 41 | | 10 | 12 | | 11 | 67 | | 12 | 43 | | 13 | 47 | | 14 | 33 | | 15 | 53 | | 16 | 2 | | 17 | 38 | | 18 | 32 | | 19 | 32 | | 20 | 28 | | 21 | 39 | | 22 | 23 | | 23 | 30 | | 24 | 56 | | 25 | 47 | | 26 | 24 | | 27 | 21 | | 28 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 70 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 185 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 3 | | flaggedSentences | 15 | | totalSentences | 70 | | ratio | 0.214 | | matches | | 0 | "The suspect glanced back, their face obscured, but the eyes—there was something in those eyes Harlow recognized." | | 1 | "A flicker of fear, nothing new to her, but tonight it was joined by something more—determination?" | | 2 | "She knew this kind of transition—from bright, noisy street to the hushed embrace of the underground—was dangerous." | | 3 | "Known to those who dared whisper its truth—a place belonging in whispered legends and uneasy dreams." | | 4 | "He held up a hand, demanding a payment in silence—a bone token." | | 5 | "The Market thrived in a dark radiance—stalls displaying wares unknown to the light, sellers and buyers exchanging not only goods but whispers laced with promises and deceit." | | 6 | "Harlow breathed in the scent of spices, incense mingled with undercurrents of iron, metallic and tangy—a reminder of the life waiting on the other side." | | 7 | "Their transaction—unseen—completed, the suspect turned, catching Harlow's torso with their shoulder." | | 8 | "A flash of metal—a knife—glinted briefly before vanishing into the cloak of their coat, each greeting a reminder of London's threat and beauty combined." | | 9 | "The chase drew to its inevitable denouement; the suspect spun around, regard alight with challenge." | | 10 | "Harlow squared her shoulders as the suspect faced her, shadows oscillating in the cavern's embrace between negotiation and acceptance—a final standoff in a world where reality gleamed with forbidden veils." | | 11 | "Her eyes locked on theirs; the moment of reckoning suspended between them, the Market looked on, a silent arbiter to secrets on the verge of exposure." | | 12 | "But the stalemate was short-lived; before Harlow could press further, the whole air shimmered, the worn market’s guardian stirring." | | 13 | "Her pursuer, fear etched across their face, acted with the only futility they had left in their arsenal—leaping into the abyss beyond, letting the unknown swallow them whole." | | 14 | "Her breath—shallowed, unyielding—contemplated the leap, untethered by time or daylight." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1156 | | adjectiveStacks | 1 | | stackExamples | | 0 | "temporary, lost behind her" |
| | adverbCount | 25 | | adverbRatio | 0.02162629757785467 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.00865051903114187 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 16.29 | | std | 7.43 | | cv | 0.456 | | sampleLengths | | 0 | 30 | | 1 | 18 | | 2 | 30 | | 3 | 28 | | 4 | 19 | | 5 | 30 | | 6 | 26 | | 7 | 15 | | 8 | 19 | | 9 | 17 | | 10 | 16 | | 11 | 1 | | 12 | 20 | | 13 | 5 | | 14 | 4 | | 15 | 26 | | 16 | 6 | | 17 | 17 | | 18 | 14 | | 19 | 9 | | 20 | 13 | | 21 | 15 | | 22 | 3 | | 23 | 16 | | 24 | 12 | | 25 | 9 | | 26 | 13 | | 27 | 20 | | 28 | 12 | | 29 | 25 | | 30 | 16 | | 31 | 12 | | 32 | 16 | | 33 | 11 | | 34 | 27 | | 35 | 13 | | 36 | 23 | | 37 | 20 | | 38 | 22 | | 39 | 25 | | 40 | 15 | | 41 | 18 | | 42 | 18 | | 43 | 11 | | 44 | 24 | | 45 | 2 | | 46 | 12 | | 47 | 13 | | 48 | 13 | | 49 | 14 |
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| 56.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.35714285714285715 | | totalSentences | 70 | | uniqueOpeners | 25 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 67 | | matches | | 0 | "Only the truth remained, poised" |
| | ratio | 0.015 | |
| 76.72% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 67 | | matches | | 0 | "Her heart thudded a staccato" | | 1 | "She cursed under her breath," | | 2 | "She lunged her way through" | | 3 | "Her sharp jaw clenched, a" | | 4 | "They plunged down a set" | | 5 | "She knew this kind of" | | 6 | "She owed it to him" | | 7 | "She'd heard about it, from" | | 8 | "He held up a hand," | | 9 | "She tossed it to the" | | 10 | "he murmured, his tone hoarse" | | 11 | "She slipped through the entrance," | | 12 | "Her senses ignited, Harlow entered" | | 13 | "Her quarry lingered amongst the" | | 14 | "Her prey slackened their pace," | | 15 | "She used it to her" | | 16 | "Their transaction—unseen—completed, the suspect turned," | | 17 | "They manoeuvred through a network" | | 18 | "Their frantic pace crescendoed into" | | 19 | "Her command a manifested verdict," |
| | ratio | 0.358 | |
| 42.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 67 | | matches | | 0 | "Detective Harlow Quinn’s boots pounded" | | 1 | "Her heart thudded a staccato" | | 2 | "The suspect darted past a" | | 3 | "She cursed under her breath," | | 4 | "This was her only lead," | | 5 | "The figure skidded through a" | | 6 | "She lunged her way through" | | 7 | "The apology was temporary, lost" | | 8 | "Her sharp jaw clenched, a" | | 9 | "The suspect glanced back, their" | | 10 | "A flicker of fear, nothing" | | 11 | "Whatever it was, it fuelled" | | 12 | "This wasn't just about survival." | | 13 | "This was about secrecy." | | 14 | "They plunged down a set" | | 15 | "Harlow hesitated only for a" | | 16 | "She knew this kind of" | | 17 | "She owed it to him" | | 18 | "The buzz of civilization faded" | | 19 | "A glowing sigil on the" |
| | ratio | 0.836 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 67 | | matches | | 0 | "Yet, standing before its portal," | | 1 | "To continue the chase alone," |
| | ratio | 0.03 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 3 | | matches | | 0 | "She lunged her way through the bustling back alley, shoving past a group of unsuspecting pedestrians who parted in surprise, muttering curses as she raced by." | | 1 | "A bouncer loomed at the discreet entry, eyeing her as if she were an unpredictable storm, leather jacket and all." | | 2 | "She used it to her advantage, closing the distance without alerting the cat and mouse game they played." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |