| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1319 | | 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) | |
| 62.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1319 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "beacon" | | 1 | "footsteps" | | 2 | "churning" | | 3 | "measured" | | 4 | "echo" | | 5 | "chill" | | 6 | "shimmered" | | 7 | "scanned" | | 8 | "pulsed" | | 9 | "stomach" |
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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 | 113 | | matches | (empty) | |
| 92.29% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1315 | | ratio | 0 | | matches | (empty) | |
| 62.50% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 1 | | matches | | 0 | "Military precision, they called it." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1304 | | uniqueNames | 13 | | maxNameDensity | 1.15 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 4 | | High | 1 | | Street | 1 | | Harlow | 1 | | Quinn | 15 | | Raven | 1 | | Nest | 1 | | London | 1 | | Lock | 2 | | Bridge | 1 | | Place | 1 | | Morris | 3 | | Underground | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Underground" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "London" | | 4 | "Lock" | | 5 | "Bridge" | | 6 | "Place" |
| | globalScore | 0.925 | | windowScore | 0.833 | |
| 55.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 3 | | matches | | 0 | "sound that seemed to echo far too long for a simple door" | | 1 | "lines that seemed to shift when she didn't look directly at them" | | 2 | "sounded like it was being spoken backwards" |
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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 | 1315 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 116 | | matches | | 0 | "remembered that night" | | 1 | "gone that way" |
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| 98.04% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 42.42 | | std | 20.92 | | cv | 0.493 | | sampleLengths | | 0 | 48 | | 1 | 78 | | 2 | 56 | | 3 | 46 | | 4 | 30 | | 5 | 1 | | 6 | 57 | | 7 | 69 | | 8 | 52 | | 9 | 46 | | 10 | 52 | | 11 | 6 | | 12 | 3 | | 13 | 55 | | 14 | 37 | | 15 | 55 | | 16 | 6 | | 17 | 48 | | 18 | 44 | | 19 | 41 | | 20 | 14 | | 21 | 70 | | 22 | 43 | | 23 | 53 | | 24 | 65 | | 25 | 31 | | 26 | 64 | | 27 | 41 | | 28 | 54 | | 29 | 47 | | 30 | 3 |
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| 89.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 113 | | matches | | 0 | "being torn" | | 1 | "were covered" | | 2 | "were cracked" | | 3 | "were gone" | | 4 | "being spoken" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 231 | | matches | | 0 | "was hiding" | | 1 | "was carrying" | | 2 | "was talking" |
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| 44.33% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 116 | | ratio | 0.034 | | matches | | 0 | "She saw the flash of recognition in his body language—the sudden stiffening of his spine, the quickening of his pace." | | 1 | "The air that drifted up smelled of mildew and something else—something organic and faintly metallic, like blood left to dry on old copper." | | 2 | "She could hear something below—voices, distant and indistinct, carried on air that moved with a rhythm too regular to be natural." | | 3 | "She was carrying a jar filled with something that moved—something that had too many legs and pulsed with a faint green light." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1313 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.024371667936024372 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.009900990099009901 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 11.34 | | std | 8.37 | | cv | 0.739 | | sampleLengths | | 0 | 27 | | 1 | 21 | | 2 | 4 | | 3 | 11 | | 4 | 27 | | 5 | 2 | | 6 | 9 | | 7 | 25 | | 8 | 4 | | 9 | 28 | | 10 | 2 | | 11 | 22 | | 12 | 15 | | 13 | 14 | | 14 | 11 | | 15 | 6 | | 16 | 7 | | 17 | 20 | | 18 | 3 | | 19 | 1 | | 20 | 5 | | 21 | 15 | | 22 | 23 | | 23 | 1 | | 24 | 1 | | 25 | 1 | | 26 | 11 | | 27 | 24 | | 28 | 22 | | 29 | 8 | | 30 | 5 | | 31 | 10 | | 32 | 7 | | 33 | 8 | | 34 | 14 | | 35 | 23 | | 36 | 3 | | 37 | 6 | | 38 | 4 | | 39 | 6 | | 40 | 27 | | 41 | 7 | | 42 | 12 | | 43 | 33 | | 44 | 5 | | 45 | 1 | | 46 | 3 | | 47 | 2 | | 48 | 14 | | 49 | 11 |
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| 57.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.41379310344827586 | | totalSentences | 116 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 99 | | matches | | 0 | "Then he ran." | | 1 | "Once she locked onto a" | | 2 | "Somewhere in the maze of" |
| | ratio | 0.03 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 99 | | matches | | 0 | "He moved with purpose." | | 1 | "She'd clocked him three blocks" | | 2 | "She stepped out from the" | | 3 | "Her salt-and-pepper hair, cropped close" | | 4 | "She didn't bother wiping it" | | 5 | "She saw the flash of" | | 6 | "Her shoes slapped against wet" | | 7 | "He turned right on Camden" | | 8 | "Her heart hammered against her" | | 9 | "She drew her weapon and" | | 10 | "She came around the skip." | | 11 | "It was ajar, a sliver" | | 12 | "She pulled out her phone" | | 13 | "She could hear something below—voices," | | 14 | "Her heart rate hadn't changed." | | 15 | "She'd trained herself out of" | | 16 | "She'd spent three years telling" | | 17 | "She scanned the crowd." | | 18 | "Her suspect was nowhere to" | | 19 | "She'd followed him this far." |
| | ratio | 0.333 | |
| 25.66% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 99 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn stood beneath" | | 2 | "He moved with purpose." | | 3 | "She'd clocked him three blocks" | | 4 | "That place had been on" | | 5 | "The green neon sign that" | | 6 | "Quinn checked her watch." | | 7 | "The worn leather band had" | | 8 | "The streets were empty save" | | 9 | "She stepped out from the" | | 10 | "Her salt-and-pepper hair, cropped close" | | 11 | "Water ran down her sharp" | | 12 | "She didn't bother wiping it" | | 13 | "The figure ahead glanced over" | | 14 | "She saw the flash of" | | 15 | "Quinn broke into a sprint." | | 16 | "Her shoes slapped against wet" | | 17 | "The kind of detail that" | | 18 | "The suspect tore down Camden" | | 19 | "Quinn pushed harder, her breath" |
| | ratio | 0.869 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 14 | | matches | | 0 | "The rain came down in sheets, hammering the pavement of Camden High Street with the kind of relentless fury that made even the streetlights seem to cower." | | 1 | "The streets were empty save for a few late-night stragglers who hurried past with collars turned up and eyes fixed on nothing." | | 2 | "The kind of detail that separated the professionals from the paper-pushers." | | 3 | "She drew her weapon and held it low against her thigh, her approach measured, each step placed with the deliberate care of someone who'd cleared a hundred dark …" | | 4 | "Concrete steps descending into darkness, the kind of darkness that didn't feel empty." | | 5 | "The air that drifted up smelled of mildew and something else—something organic and faintly metallic, like blood left to dry on old copper." | | 6 | "The beam cut through the black, revealing a stairwell that spiralled downward." | | 7 | "She could hear something below—voices, distant and indistinct, carried on air that moved with a rhythm too regular to be natural." | | 8 | "The tracks were gone, replaced by a smooth stone floor that reflected the torchlight like polished obsidian." | | 9 | "Candles burned in jars along the platform's edge, their flames perfectly still despite the air that brushed past Quinn's face." | | 10 | "She'd trained herself out of panic a long time ago, but this place stirred something in her chest that felt uncomfortably close." | | 11 | "She was carrying a jar filled with something that moved—something that had too many legs and pulsed with a faint green light." | | 12 | "He was talking to a customer, gesturing at an array of bottles that contained liquids in colours that didn't exist in any spectrum Quinn knew." | | 13 | "The platform stretched on, curving into the tunnel ahead where the candlelight gave way to shadows that moved against the dark." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |