| 94.74% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn crouched again [again]" |
| | dialogueSentences | 19 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 0.2 | | effectiveRatio | 0.105 | |
| 93.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1500 | | 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) | |
| 66.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1500 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulsed" | | 1 | "traced" | | 2 | "weight" | | 3 | "etched" | | 4 | "measured" | | 5 | "electric" | | 6 | "fractured" |
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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 | 88 | | matches | (empty) | |
| 94.16% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 88 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1500 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.24% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1023 | | uniqueNames | 9 | | maxNameDensity | 1.08 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 11 | | Tube | 1 | | Veil | 3 | | Market | 2 | | Kowalski | 1 | | Eva | 7 | | Compass | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Kowalski" | | 4 | "Eva" |
| | places | | | globalScore | 0.962 | | windowScore | 1 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "as if tasting residual energy" | | 1 | "as if arguing with two signatures of equal strength" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.667 | | wordCount | 1500 | | matches | | 0 | "not at the corpse but straight at the bricked service doorway" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 65.85% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 51.72 | | std | 19.68 | | cv | 0.38 | | sampleLengths | | 0 | 47 | | 1 | 75 | | 2 | 70 | | 3 | 45 | | 4 | 28 | | 5 | 53 | | 6 | 22 | | 7 | 64 | | 8 | 63 | | 9 | 32 | | 10 | 28 | | 11 | 60 | | 12 | 38 | | 13 | 28 | | 14 | 83 | | 15 | 91 | | 16 | 38 | | 17 | 33 | | 18 | 64 | | 19 | 41 | | 20 | 74 | | 21 | 43 | | 22 | 75 | | 23 | 91 | | 24 | 47 | | 25 | 30 | | 26 | 34 | | 27 | 52 | | 28 | 51 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 151 | | matches | (empty) | |
| 30.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 4 | | flaggedSentences | 4 | | totalSentences | 102 | | ratio | 0.039 | | matches | | 0 | "Figures in patched cloaks drifted between the tables; none of them glanced at the shimmer of police ward-tape that sealed off the northern alcove." | | 1 | "Curly red hair caught the lantern light; round glasses flashed as she straightened." | | 2 | "The crystals clung only to the outer surface of the lips; none had crusted between the teeth or ridden the inside of the cheek." | | 3 | "The lamp above it guttered as she approached; a puff of ozone rolled off the metal." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1033 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.030009680542110357 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007744433688286544 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 14.71 | | std | 10.7 | | cv | 0.727 | | sampleLengths | | 0 | 17 | | 1 | 14 | | 2 | 3 | | 3 | 13 | | 4 | 9 | | 5 | 24 | | 6 | 18 | | 7 | 24 | | 8 | 5 | | 9 | 10 | | 10 | 9 | | 11 | 17 | | 12 | 12 | | 13 | 3 | | 14 | 3 | | 15 | 11 | | 16 | 9 | | 17 | 13 | | 18 | 14 | | 19 | 9 | | 20 | 28 | | 21 | 10 | | 22 | 8 | | 23 | 17 | | 24 | 18 | | 25 | 22 | | 26 | 15 | | 27 | 49 | | 28 | 4 | | 29 | 11 | | 30 | 17 | | 31 | 4 | | 32 | 7 | | 33 | 20 | | 34 | 11 | | 35 | 5 | | 36 | 16 | | 37 | 5 | | 38 | 23 | | 39 | 2 | | 40 | 7 | | 41 | 9 | | 42 | 15 | | 43 | 16 | | 44 | 2 | | 45 | 9 | | 46 | 8 | | 47 | 12 | | 48 | 18 | | 49 | 9 |
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| 80.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.49019607843137253 | | totalSentences | 102 | | uniqueOpeners | 50 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | 0 | "Instead she angled the Veil" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 81 | | matches | | 0 | "She stepped through into the" | | 1 | "She tucked a loose strand" | | 2 | "His boots still carried dry" | | 3 | "She reached for the leather" | | 4 | "She closed her hand around" | | 5 | "She ran a bare hand" | | 6 | "She turned the compass" | | 7 | "She closed the notebook with" | | 8 | "She drew a clean evidence" | | 9 | "She sealed the envelope and" | | 10 | "Her attention shifted to the" | | 11 | "She rotated the wrist." | | 12 | "She stopped at a make-shift" | | 13 | "She did not touch the" | | 14 | "She closed the compass lid" | | 15 | "Her hand rose again to" | | 16 | "She photographed the print with" | | 17 | "It clung to her skin" | | 18 | "She looked once more at" | | 19 | "She pocketed both sample envelopes," |
| | ratio | 0.247 | |
| 71.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 81 | | matches | | 0 | "The bone token pulsed once" | | 1 | "The barrier parted." | | 2 | "She stepped through into the" | | 3 | "Lanterns of bottled lightning hung" | | 4 | "Rows of stalls occupied the" | | 5 | "The air carried the sharp" | | 6 | "Figures in patched cloaks drifted" | | 7 | "Quinn ducked beneath the tape." | | 8 | "Gravel crunched once under her" | | 9 | "The body lay half-sprawled against" | | 10 | "A man in a charcoal" | | 11 | "The surrounding tiles held only" | | 12 | "Eva Kowalski rose from a" | | 13 | "The worn leather satchel at" | | 14 | "She tucked a loose strand" | | 15 | "Quinn’s gaze travelled the length" | | 16 | "The man’s fingers remained clean" | | 17 | "His boots still carried dry" | | 18 | "She reached for the leather" | | 19 | "Eva opened the satchel and" |
| | ratio | 0.778 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 3 | | matches | | 0 | "The needle held its line, quivering once as if tasting residual energy." | | 1 | "The needle spun a half-turn, then locked on the dropper itself, then swung back to the bricked wall as if arguing with two signatures of equal strength." | | 2 | "Lantern light caught the edge of a single footprint half-erased by deliberate scuffing: the outer ring of a heel that did not match the dead man’s boots nor any…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |