| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "She approached slowly [slowly]" |
| | dialogueSentences | 26 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0.111 | | effectiveRatio | 0.077 | |
| 68.94% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 966 | | totalAiIsmAdverbs | 6 | | 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) | |
| 37.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 966 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "silence" | | 1 | "searing" | | 2 | "scanning" | | 3 | "glint" | | 4 | "chilling" | | 5 | "loomed" | | 6 | "gloom" | | 7 | "calculating" | | 8 | "predator" | | 9 | "macabre" | | 10 | "raced" |
| |
| 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 | 157 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 157 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 171 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 20 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 964 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 818 | | uniqueNames | 10 | | maxNameDensity | 1.96 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 16 | | London | 1 | | Silence | 1 | | Raven | 2 | | Nest | 2 | | Veil | 3 | | Market | 3 | | Herrera | 2 | | One | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Herrera" | | 5 | "One" |
| | places | | | globalScore | 0.522 | | windowScore | 0.333 | |
| 70.63% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like any other dive bar" | | 1 | "looked like shrunken heads" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 964 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 171 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 21.42 | | std | 11.3 | | cv | 0.527 | | sampleLengths | | 0 | 41 | | 1 | 34 | | 2 | 29 | | 3 | 17 | | 4 | 1 | | 5 | 18 | | 6 | 29 | | 7 | 40 | | 8 | 42 | | 9 | 26 | | 10 | 48 | | 11 | 41 | | 12 | 21 | | 13 | 17 | | 14 | 18 | | 15 | 18 | | 16 | 18 | | 17 | 16 | | 18 | 19 | | 19 | 7 | | 20 | 27 | | 21 | 27 | | 22 | 32 | | 23 | 23 | | 24 | 35 | | 25 | 13 | | 26 | 24 | | 27 | 19 | | 28 | 10 | | 29 | 27 | | 30 | 13 | | 31 | 13 | | 32 | 9 | | 33 | 18 | | 34 | 6 | | 35 | 8 | | 36 | 28 | | 37 | 17 | | 38 | 12 | | 39 | 20 | | 40 | 12 | | 41 | 42 | | 42 | 9 | | 43 | 5 | | 44 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 157 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 168 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 171 | | ratio | 0 | | matches | (empty) | |
| 92.77% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 820 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.0475609756097561 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.020731707317073172 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 171 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 171 | | mean | 5.64 | | std | 3.83 | | cv | 0.679 | | sampleLengths | | 0 | 14 | | 1 | 13 | | 2 | 14 | | 3 | 10 | | 4 | 9 | | 5 | 7 | | 6 | 4 | | 7 | 2 | | 8 | 2 | | 9 | 8 | | 10 | 6 | | 11 | 15 | | 12 | 11 | | 13 | 6 | | 14 | 1 | | 15 | 3 | | 16 | 4 | | 17 | 2 | | 18 | 2 | | 19 | 7 | | 20 | 3 | | 21 | 4 | | 22 | 8 | | 23 | 6 | | 24 | 8 | | 25 | 9 | | 26 | 6 | | 27 | 10 | | 28 | 1 | | 29 | 8 | | 30 | 3 | | 31 | 3 | | 32 | 2 | | 33 | 6 | | 34 | 6 | | 35 | 5 | | 36 | 4 | | 37 | 3 | | 38 | 2 | | 39 | 14 | | 40 | 5 | | 41 | 6 | | 42 | 5 | | 43 | 10 | | 44 | 16 | | 45 | 14 | | 46 | 4 | | 47 | 2 | | 48 | 12 | | 49 | 13 |
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| 77.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.47953216374269003 | | totalSentences | 171 | | uniqueOpeners | 82 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 118 | | matches | | 0 | "Just watched with flat, unblinking" | | 1 | "Too short for her suspect," | | 2 | "Just dull metal blending into" | | 3 | "Then they reached up and" | | 4 | "Then, faster than she could" | | 5 | "Then, slowly, she reached out" |
| | ratio | 0.051 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 118 | | matches | | 0 | "Her voice barely carried over" | | 1 | "She kept her gaze locked" | | 2 | "They moved too fast." | | 3 | "She rounded the corner just" | | 4 | "She approached slowly, hand on" | | 5 | "She edged closer." | | 6 | "She shook her head, vision" | | 7 | "She spat and pushed off" | | 8 | "She stumbled out of the" | | 9 | "It was a whole other" | | 10 | "She'd only heard whispers." | | 11 | "She touched her jaw gingerly." | | 12 | "She squared her shoulders and" | | 13 | "She pushed it open, blinking" | | 14 | "It looked like any other" | | 15 | "They moved wrong." | | 16 | "She felt their stares like" | | 17 | "She stalked between the tables," | | 18 | "She flashed her badge" | | 19 | "It was another reality." |
| | ratio | 0.288 | |
| 91.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 118 | | matches | | 0 | "Detective Harlow Quinn's heart pounded" | | 1 | "The suspect, a hooded figure," | | 2 | "The city's usual hustle was" | | 3 | "Her voice barely carried over" | | 4 | "She kept her gaze locked" | | 5 | "They moved too fast." | | 6 | "Quinn followed, boots splashing through" | | 7 | "She rounded the corner just" | | 8 | "She approached slowly, hand on" | | 9 | "She edged closer." | | 10 | "A flash of movement." | | 11 | "A searing pain exploded across" | | 12 | "The world tilted." | | 13 | "The suspect shot past." | | 14 | "Quinn staggered, catching herself against" | | 15 | "She shook her head, vision" | | 16 | "The metallic tang of blood" | | 17 | "She spat and pushed off" | | 18 | "She stumbled out of the" | | 19 | "A glint of green neon" |
| | ratio | 0.737 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 118 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 16 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 26 | | tagDensity | 0.038 | | leniency | 0.077 | | rawRatio | 1 | | effectiveRatio | 0.077 | |