| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 975 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 975 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "reminder" | | 1 | "footsteps" | | 2 | "echoing" | | 3 | "familiar" | | 4 | "raced" | | 5 | "silence" | | 6 | "scanned" | | 7 | "weight" | | 8 | "could feel" | | 9 | "clandestine" | | 10 | "pounding" | | 11 | "loomed" | | 12 | "flicker" | | 13 | "unreadable" | | 14 | "resolve" | | 15 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
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| | highlights | | 0 | "heart pounded in her chest" |
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| 93.35% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 79 | | matches | | 0 | "e with panic" | | 1 | "t with determination" | | 2 | "was bitter" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 972 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 929 | | uniqueNames | 12 | | maxNameDensity | 2.48 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 23 | | Raven | 2 | | Nest | 2 | | Morris | 2 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 1 | | Herrera | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Morris" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Tomás" | | 8 | "Herrera" |
| | places | | | globalScore | 0.262 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 972 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 86 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 34.71 | | std | 20.26 | | cv | 0.583 | | sampleLengths | | 0 | 69 | | 1 | 61 | | 2 | 56 | | 3 | 62 | | 4 | 65 | | 5 | 47 | | 6 | 52 | | 7 | 62 | | 8 | 45 | | 9 | 58 | | 10 | 22 | | 11 | 4 | | 12 | 22 | | 13 | 20 | | 14 | 10 | | 15 | 4 | | 16 | 37 | | 17 | 40 | | 18 | 41 | | 19 | 29 | | 20 | 9 | | 21 | 20 | | 22 | 6 | | 23 | 16 | | 24 | 28 | | 25 | 32 | | 26 | 40 | | 27 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 79 | | matches | | 0 | "been spotted" | | 1 | "been suspected" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 151 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 86 | | ratio | 0.012 | | matches | | 0 | "Her instincts screamed that this was more than a simple chase; it was a thread leading to something darker, something that might explain the loss of her partner, DS Morris, three years ago." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 932 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.019313304721030045 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0075107296137339056 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 11.3 | | std | 6.09 | | cv | 0.539 | | sampleLengths | | 0 | 16 | | 1 | 13 | | 2 | 20 | | 3 | 20 | | 4 | 13 | | 5 | 9 | | 6 | 14 | | 7 | 25 | | 8 | 3 | | 9 | 20 | | 10 | 33 | | 11 | 19 | | 12 | 9 | | 13 | 17 | | 14 | 17 | | 15 | 8 | | 16 | 3 | | 17 | 16 | | 18 | 15 | | 19 | 10 | | 20 | 13 | | 21 | 14 | | 22 | 15 | | 23 | 15 | | 24 | 1 | | 25 | 1 | | 26 | 1 | | 27 | 11 | | 28 | 6 | | 29 | 12 | | 30 | 11 | | 31 | 12 | | 32 | 10 | | 33 | 14 | | 34 | 15 | | 35 | 23 | | 36 | 14 | | 37 | 16 | | 38 | 15 | | 39 | 5 | | 40 | 8 | | 41 | 12 | | 42 | 12 | | 43 | 21 | | 44 | 16 | | 45 | 6 | | 46 | 4 | | 47 | 14 | | 48 | 1 | | 49 | 1 |
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| 45.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.27906976744186046 | | totalSentences | 86 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 74 | | matches | | 0 | "Her worn leather watch ticked" | | 1 | "She could hear the distant" | | 2 | "Her instincts screamed that this" | | 3 | "She was close, so close" | | 4 | "She'd heard whispers of it," | | 5 | "It was dangerous territory, a" | | 6 | "Her heart pounded in her" | | 7 | "She took a deep breath," | | 8 | "Her jaw set with determination," | | 9 | "Her presence drew attention, eyes" | | 10 | "She felt the weight of" | | 11 | "Her hand brushed against the" | | 12 | "She approached, her gaze steady," | | 13 | "It was a small gesture," | | 14 | "Her eyes darted to a" | | 15 | "She approached, her hand brushing" | | 16 | "He moved, quick as a" | | 17 | "He darted past her, back" | | 18 | "She reached out, her fingers" | | 19 | "she said, her voice firm" |
| | ratio | 0.27 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 74 | | matches | | 0 | "Detective Harlow Quinn sprinted through" | | 1 | "Her worn leather watch ticked" | | 2 | "The suspect, a shadowy figure" | | 3 | "Soho was alive with the" | | 4 | "The suspect glanced back, eyes" | | 5 | "Quinn followed, her footsteps echoing" | | 6 | "The alley was narrow, littered" | | 7 | "She could hear the distant" | | 8 | "Quinn's mind raced." | | 9 | "The suspect had been spotted" | | 10 | "Her instincts screamed that this" | | 11 | "The alley opened up to" | | 12 | "Quinn pushed harder, her legs" | | 13 | "She was close, so close" | | 14 | "Quinn hesitated at the top" | | 15 | "The Veil Market." | | 16 | "She'd heard whispers of it," | | 17 | "It was dangerous territory, a" | | 18 | "Her heart pounded in her" | | 19 | "She took a deep breath," |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 75.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 5 | | matches | | 0 | "Her instincts screamed that this was more than a simple chase; it was a thread leading to something darker, something that might explain the loss of her partner…" | | 1 | "She'd heard whispers of it, a hidden supernatural black market that moved locations every full moon." | | 2 | "She felt the weight of her badge, a symbol of authority that meant little here." | | 3 | "She reached out, her fingers brushing against his hoodie, and he stumbled, the token slipping from his grasp." | | 4 | "As they ascended the stairs, Quinn's thoughts turned to DS Morris, to the unanswered questions and the supernatural elements that had haunted her since his deat…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice firm" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |