| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 106 | | tagDensity | 0.113 | | leniency | 0.226 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1752 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "sharply" | | 1 | "slowly" | | 2 | "quickly" |
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| 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) | |
| 80.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1752 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "silence" | | 1 | "etched" | | 2 | "trembled" | | 3 | "unwavering" | | 4 | "flickered" | | 5 | "footsteps" |
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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 | 158 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 158 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 251 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1751 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 76 | | wordCount | 1205 | | uniqueNames | 15 | | maxNameDensity | 2.32 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 28 | | Tube | 1 | | Camden | 2 | | Bell | 20 | | Veil | 1 | | Market | 1 | | Morris | 1 | | Kowalski | 1 | | Eva | 15 | | Silence | 1 | | Catalogue | 1 | | Liminal | 1 | | Instruments | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Bell" | | 4 | "Morris" | | 5 | "Kowalski" | | 6 | "Eva" |
| | places | (empty) | | globalScore | 0.338 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.571 | | wordCount | 1751 | | matches | | 0 | "Not outward from the wound, she realized, but away from it" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 251 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 156 | | mean | 11.22 | | std | 12.61 | | cv | 1.124 | | sampleLengths | | 0 | 32 | | 1 | 51 | | 2 | 10 | | 3 | 31 | | 4 | 1 | | 5 | 39 | | 6 | 1 | | 7 | 8 | | 8 | 4 | | 9 | 58 | | 10 | 1 | | 11 | 6 | | 12 | 2 | | 13 | 32 | | 14 | 11 | | 15 | 6 | | 16 | 4 | | 17 | 16 | | 18 | 1 | | 19 | 6 | | 20 | 2 | | 21 | 15 | | 22 | 55 | | 23 | 20 | | 24 | 6 | | 25 | 22 | | 26 | 7 | | 27 | 67 | | 28 | 2 | | 29 | 2 | | 30 | 12 | | 31 | 4 | | 32 | 17 | | 33 | 5 | | 34 | 1 | | 35 | 3 | | 36 | 9 | | 37 | 2 | | 38 | 6 | | 39 | 10 | | 40 | 3 | | 41 | 7 | | 42 | 6 | | 43 | 20 | | 44 | 8 | | 45 | 16 | | 46 | 1 | | 47 | 4 | | 48 | 2 | | 49 | 8 |
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| 91.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 158 | | matches | | 0 | "been sealed" | | 1 | "been found" | | 2 | "was practiced" | | 3 | "been made" | | 4 | "been etched" | | 5 | "been pulled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 203 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 251 | | ratio | 0.004 | | matches | | 0 | "Books crowded the interior—manuscripts, photocopies, a brass ruler, a magnifying glass." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1209 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.03391232423490488 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.010752688172043012 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 251 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 251 | | mean | 6.98 | | std | 5.55 | | cv | 0.795 | | sampleLengths | | 0 | 32 | | 1 | 8 | | 2 | 11 | | 3 | 16 | | 4 | 16 | | 5 | 10 | | 6 | 10 | | 7 | 13 | | 8 | 1 | | 9 | 7 | | 10 | 1 | | 11 | 13 | | 12 | 12 | | 13 | 14 | | 14 | 1 | | 15 | 8 | | 16 | 4 | | 17 | 14 | | 18 | 13 | | 19 | 16 | | 20 | 5 | | 21 | 3 | | 22 | 7 | | 23 | 1 | | 24 | 6 | | 25 | 2 | | 26 | 4 | | 27 | 11 | | 28 | 17 | | 29 | 5 | | 30 | 6 | | 31 | 6 | | 32 | 4 | | 33 | 3 | | 34 | 13 | | 35 | 1 | | 36 | 6 | | 37 | 2 | | 38 | 9 | | 39 | 6 | | 40 | 2 | | 41 | 25 | | 42 | 6 | | 43 | 22 | | 44 | 20 | | 45 | 6 | | 46 | 7 | | 47 | 7 | | 48 | 8 | | 49 | 7 |
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| 50.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.332 | | totalSentences | 250 | | uniqueOpeners | 83 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 134 | | matches | | 0 | "Once, the station had carried" | | 1 | "Slowly, she opened the satchel." |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 134 | | matches | | 0 | "Her boots struck the platform" | | 1 | "He had arrived before her," | | 2 | "His coat was expensive, black" | | 3 | "He looked at her, then" | | 4 | "She had spent six months" | | 5 | "It moved every full moon," | | 6 | "Her partner, DS Morris, had" | | 7 | "She did not believe in" | | 8 | "She kept tucking a strand" | | 9 | "Her voice was steady, though" | | 10 | "Her green eyes shifted toward" | | 11 | "They stopped beside the corpse." | | 12 | "They belonged to a woman’s" | | 13 | "It had arrived through it." | | 14 | "She leaned closer." | | 15 | "She began tucking her hair" | | 16 | "It was an entry point." | | 17 | "She knelt and lifted the" | | 18 | "His shoes did not touch" | | 19 | "She pointed at the corpse." |
| | ratio | 0.157 | |
| 60.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 134 | | matches | | 0 | "The abandoned station had been" | | 1 | "Her boots struck the platform" | | 2 | "Emergency lamps had been strung" | | 3 | "Quinn stopped just beyond the" | | 4 | "The leather strap had softened" | | 5 | "The call had come twenty-three" | | 6 | "DS Bell crossed toward her," | | 7 | "He had arrived before her," | | 8 | "Quinn looked past him." | | 9 | "The dead man lay beside" | | 10 | "His coat was expensive, black" | | 11 | "Blood had spread beneath him" | | 12 | "Bell crouched and pointed." | | 13 | "A narrow puncture marked the" | | 14 | "Quinn glanced at the rails." | | 15 | "Bell’s expression tightened." | | 16 | "He looked at her, then" | | 17 | "She had spent six months" | | 18 | "The Veil Market, people called" | | 19 | "It moved every full moon," |
| | ratio | 0.799 | |
| 37.31% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 134 | | matches | | 0 | "Now its tiled walls sweated" |
| | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 1 | | matches | | 0 | "It moved every full moon, appearing in abandoned stations and disused cellars, always beneath a city that insisted such places were empty." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 106 | | tagDensity | 0.113 | | leniency | 0.226 | | rawRatio | 0.083 | | effectiveRatio | 0.019 | |