| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn squatted again [again]" |
| | dialogueSentences | 51 | | tagDensity | 0.314 | | leniency | 0.627 | | rawRatio | 0.063 | | effectiveRatio | 0.039 | |
| 75.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1227 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 2 |
| | 3 | | | 4 | |
| | highlights | | 0 | "slowly" | | 1 | "gently" | | 2 | "deliberately" | | 3 | "suddenly" | | 4 | "carefully" |
| |
| 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) | |
| 63.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1227 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pristine" | | 1 | "crystal" | | 2 | "etched" | | 3 | "trembled" | | 4 | "stomach" | | 5 | "footsteps" | | 6 | "echoed" | | 7 | "traced" |
| |
| 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 | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1227 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 24.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 676 | | uniqueNames | 8 | | maxNameDensity | 2.51 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 17 | | Detective | 1 | | Constable | 1 | | Barnes | 9 | | Camden | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Constable" | | 2 | "Barnes" | | 3 | "Camden" | | 4 | "Market" |
| | places | (empty) | | globalScore | 0.243 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | 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 | 1227 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 113 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 23.15 | | std | 18.31 | | cv | 0.791 | | sampleLengths | | 0 | 68 | | 1 | 18 | | 2 | 31 | | 3 | 29 | | 4 | 10 | | 5 | 8 | | 6 | 74 | | 7 | 2 | | 8 | 21 | | 9 | 27 | | 10 | 24 | | 11 | 5 | | 12 | 7 | | 13 | 45 | | 14 | 31 | | 15 | 6 | | 16 | 4 | | 17 | 65 | | 18 | 7 | | 19 | 25 | | 20 | 4 | | 21 | 15 | | 22 | 23 | | 23 | 17 | | 24 | 14 | | 25 | 51 | | 26 | 8 | | 27 | 27 | | 28 | 4 | | 29 | 26 | | 30 | 6 | | 31 | 50 | | 32 | 39 | | 33 | 16 | | 34 | 1 | | 35 | 19 | | 36 | 5 | | 37 | 38 | | 38 | 62 | | 39 | 33 | | 40 | 5 | | 41 | 25 | | 42 | 20 | | 43 | 12 | | 44 | 39 | | 45 | 37 | | 46 | 9 | | 47 | 3 | | 48 | 22 | | 49 | 1 |
| |
| 91.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 78 | | matches | | 0 | "been pulled" | | 1 | "was etched" | | 2 | "was torn" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 120 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 113 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 678 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.029498525073746312 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.014749262536873156 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 10.86 | | std | 7.62 | | cv | 0.702 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 23 | | 3 | 8 | | 4 | 1 | | 5 | 5 | | 6 | 11 | | 7 | 7 | | 8 | 12 | | 9 | 19 | | 10 | 12 | | 11 | 17 | | 12 | 3 | | 13 | 7 | | 14 | 8 | | 15 | 13 | | 16 | 9 | | 17 | 18 | | 18 | 9 | | 19 | 25 | | 20 | 2 | | 21 | 13 | | 22 | 2 | | 23 | 6 | | 24 | 14 | | 25 | 13 | | 26 | 13 | | 27 | 11 | | 28 | 5 | | 29 | 7 | | 30 | 15 | | 31 | 22 | | 32 | 8 | | 33 | 8 | | 34 | 5 | | 35 | 8 | | 36 | 10 | | 37 | 6 | | 38 | 4 | | 39 | 30 | | 40 | 35 | | 41 | 4 | | 42 | 3 | | 43 | 6 | | 44 | 19 | | 45 | 4 | | 46 | 12 | | 47 | 3 | | 48 | 23 | | 49 | 17 |
| |
| 87.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5486725663716814 | | totalSentences | 113 | | uniqueOpeners | 62 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 64 | | matches | | 0 | "Almost invisible if you weren't" | | 1 | "Carefully scraped into the grime," |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 64 | | matches | | 0 | "His hands rested on his" | | 1 | "She rose, wiping her palms" | | 2 | "It was a thin chain," | | 3 | "She looked up at the" | | 4 | "She held it flat in" | | 5 | "He checked his notebook." | | 6 | "She leaned closer to examine" | | 7 | "She followed the trail of" | | 8 | "She crouched and picked it" | | 9 | "It was old, worn smooth," | | 10 | "She traced the letters with" | | 11 | "She pointed to the faint" |
| | ratio | 0.188 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 64 | | matches | | 0 | "The body lay in the" | | 1 | "Harlow Quinn crouched beside it," | | 2 | "The victim was a man" | | 3 | "His hands rested on his" | | 4 | "That was the odd part." | | 5 | "She rose, wiping her palms" | | 6 | "Detective Constable Barnes hovered near" | | 7 | "Quinn pointed at the victim's" | | 8 | "Barnes squinted, unimpressed." | | 9 | "The old ticket hall spread" | | 10 | "The air smelled of damp" | | 11 | "Quinn let her gaze drift" | | 12 | "A path of disturbed dust" | | 13 | "Someone had walked backward through" | | 14 | "Quinn squatted again, this time" | | 15 | "Barnes pocketed his notepad" | | 16 | "Quinn circled the body slowly," | | 17 | "The victim's jacket pockets had" | | 18 | "Someone had searched him, and" | | 19 | "The pocket watch in his" |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "A path of disturbed dust led from the service entrance to where the body lay, a clean trail that stopped dead at the victim's feet." | | 1 | "The casing had a patina of verdigris, and the face was etched with protective sigils that would look like decorative engraving to anyone else." |
| |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn squatted again, this time examining the victim's collar" | | 1 | "Quinn turned, her torch beam catching the cold tiles" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Barnes confirmed (confirm)" | | 1 | "she murmured (murmur)" |
| | dialogueSentences | 51 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 0.667 | | effectiveRatio | 0.078 | |