| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.192 | | leniency | 0.385 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1042 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 61.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1042 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "glistening" | | 1 | "calculating" | | 2 | "shimmered" | | 3 | "echoing" | | 4 | "charged" | | 5 | "almost alive" | | 6 | "pulsed" | | 7 | "unreadable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 90.75% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 73 | | matches | | 0 | "filled with terror" | | 1 | "d with terror" | | 2 | "t with fear" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 73 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1036 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 782 | | uniqueNames | 16 | | maxNameDensity | 1.41 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 11 | | Camden | 2 | | High | 1 | | Street | 1 | | Herrera | 10 | | Saint | 1 | | Christopher | 1 | | Victorian | 1 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Morris | 3 | | Tube | 1 | | Underground | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Morris" |
| | places | | 0 | "London" | | 1 | "Camden" | | 2 | "High" | | 3 | "Street" | | 4 | "Soho" | | 5 | "Raven" |
| | globalScore | 0.797 | | windowScore | 1 | |
| 18.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 3 | | matches | | 0 | "not quite running but walking too fast for someone with nothing to hide" | | 1 | "looked like a dead end, brick wall blocki" | | 2 | "Music that seemed to come from instruments that shouldn't exist" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.965 | | wordCount | 1036 | | matches | | 0 | "not quite running but walking too fast for someone with nothing to hide" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 92 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 25.9 | | std | 18.14 | | cv | 0.7 | | sampleLengths | | 0 | 43 | | 1 | 34 | | 2 | 2 | | 3 | 15 | | 4 | 73 | | 5 | 30 | | 6 | 30 | | 7 | 9 | | 8 | 28 | | 9 | 12 | | 10 | 33 | | 11 | 6 | | 12 | 11 | | 13 | 30 | | 14 | 3 | | 15 | 3 | | 16 | 60 | | 17 | 23 | | 18 | 52 | | 19 | 10 | | 20 | 18 | | 21 | 34 | | 22 | 30 | | 23 | 5 | | 24 | 9 | | 25 | 7 | | 26 | 33 | | 27 | 44 | | 28 | 20 | | 29 | 23 | | 30 | 12 | | 31 | 39 | | 32 | 29 | | 33 | 30 | | 34 | 50 | | 35 | 9 | | 36 | 72 | | 37 | 13 | | 38 | 39 | | 39 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 73 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 144 | | matches | | |
| 80.75% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 92 | | ratio | 0.022 | | matches | | 0 | "The smell that wafted up made her step back—earth and incense, copper and something else." | | 1 | "She caught it reflexively—bone, carved with symbols that hurt to look at directly." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 786 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.03435114503816794 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010178117048346057 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 11.26 | | std | 6.66 | | cv | 0.591 | | sampleLengths | | 0 | 15 | | 1 | 28 | | 2 | 18 | | 3 | 16 | | 4 | 2 | | 5 | 3 | | 6 | 12 | | 7 | 18 | | 8 | 30 | | 9 | 25 | | 10 | 12 | | 11 | 9 | | 12 | 9 | | 13 | 3 | | 14 | 11 | | 15 | 16 | | 16 | 9 | | 17 | 7 | | 18 | 8 | | 19 | 13 | | 20 | 12 | | 21 | 11 | | 22 | 22 | | 23 | 6 | | 24 | 11 | | 25 | 3 | | 26 | 12 | | 27 | 15 | | 28 | 3 | | 29 | 3 | | 30 | 8 | | 31 | 15 | | 32 | 11 | | 33 | 15 | | 34 | 11 | | 35 | 6 | | 36 | 17 | | 37 | 6 | | 38 | 30 | | 39 | 8 | | 40 | 8 | | 41 | 10 | | 42 | 18 | | 43 | 21 | | 44 | 13 | | 45 | 14 | | 46 | 16 | | 47 | 5 | | 48 | 9 | | 49 | 7 |
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| 77.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5108695652173914 | | totalSentences | 92 | | uniqueOpeners | 47 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 72 | | matches | | 0 | "Instead, he cut left into" | | 1 | "Just sealed records and a" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 72 | | matches | | 0 | "His Saint Christopher medallion caught" | | 1 | "He didn't stop." | | 2 | "She'd thought the supernatural angle" | | 3 | "He turned, those warm brown" | | 4 | "She moved closer, measuring the" | | 5 | "His fingers moved to his" | | 6 | "He pressed his palm against" | | 7 | "She thought of Morris, of" | | 8 | "Her voice came out steadier" | | 9 | "He smiled, but it didn't" | | 10 | "Her radio crackled." | | 11 | "She could call it in." | | 12 | "He'd followed procedures right up" | | 13 | "He tossed it up to" | | 14 | "She caught it reflexively—bone, carved" | | 15 | "It felt warm, almost alive." | | 16 | "She'd have questions and no" |
| | ratio | 0.236 | |
| 57.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 72 | | matches | | 0 | "The rain hammered down in" | | 1 | "Detective Harlow Quinn's boots splashed" | | 2 | "Tomás Herrera moved with purpose," | | 3 | "His Saint Christopher medallion caught" | | 4 | "He didn't stop." | | 5 | "Quinn's breath came hard as" | | 6 | "She'd thought the supernatural angle" | | 7 | "The alley narrowed." | | 8 | "Quinn's hand moved to her" | | 9 | "He turned, those warm brown" | | 10 | "Rain plastered his curly hair" | | 11 | "The scar on his left" | | 12 | "She moved closer, measuring the" | | 13 | "Herrera's jaw tightened." | | 14 | "His fingers moved to his" | | 15 | "He pressed his palm against" | | 16 | "Quinn lunged forward, but stopped" | | 17 | "The bricks rippled, parted, revealed" | | 18 | "The smell that wafted up" | | 19 | "Something that reminded her of" |
| | ratio | 0.806 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "The smell that wafted up made her step back—earth and incense, copper and something else." | | 1 | "Something that reminded her of the night DS Morris had died." | | 2 | "The air itself felt different, charged with something that made her skin prickle." | | 3 | "She'd have questions and no answers, three missing persons still unaccounted for, and another dead end in a case that had consumed her for weeks." |
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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 | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "her sources whispered (whisper)" |
| | dialogueSentences | 26 | | tagDensity | 0.038 | | leniency | 0.077 | | rawRatio | 1 | | effectiveRatio | 0.077 | |