| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stepped back [back]" |
| | dialogueSentences | 38 | | tagDensity | 0.395 | | leniency | 0.789 | | rawRatio | 0.067 | | effectiveRatio | 0.053 | |
| 92.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1301 | | 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) | |
| 34.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1301 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "stomach" | | 1 | "etched" | | 2 | "weight" | | 3 | "calibrated" | | 4 | "quivered" | | 5 | "dance" | | 6 | "flickered" | | 7 | "porcelain" | | 8 | "navigate" | | 9 | "footsteps" | | 10 | "magnetic" | | 11 | "familiar" | | 12 | "pulsed" | | 13 | "whisper" |
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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 | 96 | | matches | (empty) | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1300 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1014 | | uniqueNames | 17 | | maxNameDensity | 1.38 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Vance" | | discoveredNames | | Harlow | 1 | | Quinn | 14 | | Crossed | 1 | | Davies | 2 | | Victorian | 2 | | Metropolitan | 1 | | Railway | 1 | | Northern | 1 | | Detective | 2 | | Inspector | 1 | | Helena | 1 | | Vance | 12 | | Cases | 1 | | Division | 1 | | Ashworth | 1 | | Step | 1 | | Morris | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davies" | | 3 | "Railway" | | 4 | "Inspector" | | 5 | "Helena" | | 6 | "Vance" | | 7 | "Ashworth" | | 8 | "Morris" |
| | places | | | globalScore | 0.81 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 1 | | matches | | 0 | "darkness that seemed to breathe" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.769 | | wordCount | 1300 | | matches | | 0 | "no longer pointing forward but" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 119 | | matches | | 0 | "died that night" | | 1 | "accepted that explanation" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 23.64 | | std | 17.63 | | cv | 0.746 | | sampleLengths | | 0 | 20 | | 1 | 44 | | 2 | 30 | | 3 | 33 | | 4 | 4 | | 5 | 26 | | 6 | 7 | | 7 | 71 | | 8 | 5 | | 9 | 19 | | 10 | 44 | | 11 | 15 | | 12 | 26 | | 13 | 1 | | 14 | 53 | | 15 | 18 | | 16 | 20 | | 17 | 2 | | 18 | 8 | | 19 | 33 | | 20 | 14 | | 21 | 23 | | 22 | 1 | | 23 | 31 | | 24 | 28 | | 25 | 40 | | 26 | 10 | | 27 | 14 | | 28 | 43 | | 29 | 2 | | 30 | 12 | | 31 | 41 | | 32 | 51 | | 33 | 35 | | 34 | 10 | | 35 | 29 | | 36 | 18 | | 37 | 10 | | 38 | 57 | | 39 | 9 | | 40 | 61 | | 41 | 6 | | 42 | 10 | | 43 | 40 | | 44 | 2 | | 45 | 32 | | 46 | 1 | | 47 | 58 | | 48 | 14 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 187 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 119 | | ratio | 0.008 | | matches | | 0 | "\"We were already en route. This gentleman—\" Vance gestured to the body with theatrical disinterest, \"—was on our radar. Gabriel Ashworth. Collector. Dealer in rare artifacts.\"" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 420 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.01904761904761905 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.014285714285714285 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 10.92 | | std | 8.75 | | cv | 0.801 | | sampleLengths | | 0 | 20 | | 1 | 19 | | 2 | 2 | | 3 | 15 | | 4 | 8 | | 5 | 21 | | 6 | 9 | | 7 | 12 | | 8 | 6 | | 9 | 8 | | 10 | 7 | | 11 | 4 | | 12 | 12 | | 13 | 14 | | 14 | 6 | | 15 | 1 | | 16 | 28 | | 17 | 19 | | 18 | 24 | | 19 | 5 | | 20 | 10 | | 21 | 9 | | 22 | 28 | | 23 | 3 | | 24 | 13 | | 25 | 11 | | 26 | 4 | | 27 | 26 | | 28 | 1 | | 29 | 14 | | 30 | 33 | | 31 | 6 | | 32 | 6 | | 33 | 9 | | 34 | 3 | | 35 | 5 | | 36 | 15 | | 37 | 2 | | 38 | 8 | | 39 | 19 | | 40 | 6 | | 41 | 8 | | 42 | 14 | | 43 | 9 | | 44 | 14 | | 45 | 1 | | 46 | 15 | | 47 | 16 | | 48 | 13 | | 49 | 7 |
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| 84.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5338983050847458 | | totalSentences | 118 | | uniqueOpeners | 63 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 84 | | matches | | 0 | "Somewhere in the darkness beyond" | | 1 | "Even the dripping water seemed" | | 2 | "Officially, a psychotic break." | | 3 | "More like the absence of" | | 4 | "Instead, she pocketed the compass" | | 5 | "Just stood there, watching, and" |
| | ratio | 0.071 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 84 | | matches | | 0 | "Her translation came automatically, eighteen" | | 1 | "He held up a small" | | 2 | "Her gaze dropped to the" | | 3 | "She stepped back, smoothing her" | | 4 | "She'd told him to sleep" | | 5 | "He'd died that night." | | 6 | "She'd accepted that explanation because" | | 7 | "She should call it in." | | 8 | "Her hand hovered an inch" | | 9 | "She could close the file." |
| | ratio | 0.119 | |
| 79.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 84 | | matches | | 0 | "The body lay sprawled across" | | 1 | "Detective Harlow Quinn crouched beside" | | 2 | "Her translation came automatically, eighteen" | | 3 | "Sergeant Davies hovered at the" | | 4 | "He held up a small" | | 5 | "Quinn took it, turned it" | | 6 | "Someone had taken care with" | | 7 | "Davies shifted his weight" | | 8 | "The platform stretched behind her" | | 9 | "The Metropolitan Railway had abandoned" | | 10 | "A new voice, smooth as" | | 11 | "Detective Inspector Helena Vance emerged" | | 12 | "The department's preferred solution for" | | 13 | "Quinn stood, the compass still" | | 14 | "Vance gestured to the body" | | 15 | "Vance stepped closer, her heels" | | 16 | "Her gaze dropped to the" | | 17 | "Quinn turned the compass over" | | 18 | "The needle quivered, then swung" | | 19 | "Vance's smile tightened" |
| | ratio | 0.762 | |
| 59.52% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 84 | | matches | | | ratio | 0.012 | |
| 3.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 7 | | matches | | 0 | "The body lay sprawled across the abandoned platform like a discarded marionette, limbs at angles that made the stomach turn." | | 1 | "The department's preferred solution for incidents that didn't fit neatly into acceptable categories." | | 2 | "Drunk, rambling, talking about markets that moved and doors that opened and a world hiding beneath the city she'd sworn to protect." | | 3 | "The tunnel narrowed as she progressed, Victorian brickwork giving way to older stone, the mortar between each block carved with symbols that made the eyes ache …" | | 4 | "The compass grew warmer with each step, its needle spinning now, no longer pointing forward but spinning in tight frantic circles like a compass caught in a mag…" | | 5 | "Iron-banded oak, ancient beyond reckoning, set into the raw stone as if it had grown there." | | 6 | "Just stood there, watching, and Quinn understood with horrible clarity that whatever she found on the other side of that door would change everything she though…" |
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| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "Sergeant Davies hovered, his notebook open" | | 1 | "Vance stepped, her heels clicking against the platform's edge" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "a voice whispered (whisper)" |
| | dialogueSentences | 38 | | tagDensity | 0.026 | | leniency | 0.053 | | rawRatio | 1 | | effectiveRatio | 0.053 | |