| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "Fletcher gestured vaguely [vaguely]" |
| | dialogueSentences | 40 | | tagDensity | 0.475 | | leniency | 0.95 | | rawRatio | 0.053 | | effectiveRatio | 0.05 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1278 | | 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) | |
| 41.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1278 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "the last thing" | | count | 1 |
| | 14 | |
| | highlights | | 0 | "perfect" | | 1 | "echoing" | | 2 | "gloom" | | 3 | "traced" | | 4 | "charm" | | 5 | "etched" | | 6 | "intricate" | | 7 | "trembled" | | 8 | "quivered" | | 9 | "vibrated" | | 10 | "shattered" | | 11 | "stark" | | 12 | "pulse" | | 13 | "the last thing" | | 14 | "silence" |
| |
| 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 | 104 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | 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 | 4 | | markdownWords | 11 | | totalWords | 1278 | | ratio | 0.009 | | matches | | 0 | "plink-plink" | | 1 | "The evidence is impossible." | | 2 | "click" | | 3 | "Accidental discharge of service weapon" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 62.28% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 969 | | uniqueNames | 6 | | maxNameDensity | 1.75 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 17 | | Camden | 1 | | Town | 1 | | Fletcher | 14 | | Morris | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Fletcher" | | 3 | "Morris" |
| | places | | | globalScore | 0.623 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like market stalls" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.782 | | wordCount | 1278 | | matches | | 0 | "Not just damp and decay, but a mélange of strange scents: incense, ozone" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 30.43 | | std | 20.23 | | cv | 0.665 | | sampleLengths | | 0 | 20 | | 1 | 49 | | 2 | 40 | | 3 | 39 | | 4 | 7 | | 5 | 26 | | 6 | 28 | | 7 | 40 | | 8 | 66 | | 9 | 20 | | 10 | 43 | | 11 | 38 | | 12 | 8 | | 13 | 77 | | 14 | 18 | | 15 | 10 | | 16 | 58 | | 17 | 14 | | 18 | 24 | | 19 | 44 | | 20 | 4 | | 21 | 20 | | 22 | 15 | | 23 | 7 | | 24 | 42 | | 25 | 7 | | 26 | 29 | | 27 | 28 | | 28 | 72 | | 29 | 7 | | 30 | 17 | | 31 | 58 | | 32 | 3 | | 33 | 26 | | 34 | 70 | | 35 | 23 | | 36 | 52 | | 37 | 12 | | 38 | 31 | | 39 | 6 | | 40 | 27 | | 41 | 53 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 104 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 161 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 124 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 974 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02566735112936345 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.00513347022587269 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 10.31 | | std | 5.95 | | cv | 0.577 | | sampleLengths | | 0 | 20 | | 1 | 10 | | 2 | 3 | | 3 | 23 | | 4 | 13 | | 5 | 15 | | 6 | 15 | | 7 | 10 | | 8 | 4 | | 9 | 14 | | 10 | 3 | | 11 | 4 | | 12 | 3 | | 13 | 11 | | 14 | 7 | | 15 | 20 | | 16 | 6 | | 17 | 4 | | 18 | 11 | | 19 | 11 | | 20 | 2 | | 21 | 11 | | 22 | 11 | | 23 | 12 | | 24 | 6 | | 25 | 33 | | 26 | 17 | | 27 | 16 | | 28 | 5 | | 29 | 15 | | 30 | 13 | | 31 | 19 | | 32 | 11 | | 33 | 4 | | 34 | 12 | | 35 | 4 | | 36 | 18 | | 37 | 6 | | 38 | 2 | | 39 | 3 | | 40 | 6 | | 41 | 7 | | 42 | 7 | | 43 | 17 | | 44 | 14 | | 45 | 7 | | 46 | 16 | | 47 | 12 | | 48 | 6 | | 49 | 10 |
| |
| 59.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4032258064516129 | | totalSentences | 124 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 100 | | matches | | 0 | "She ignored them." | | 1 | "He stood a few yards" | | 2 | "Her eyes tracked the crimson" | | 3 | "she repeated, her own voice" | | 4 | "She pulled a small torch" | | 5 | "she said, pointing her torch" | | 6 | "She stepped closer to the" | | 7 | "She patted the pockets." | | 8 | "She pulled it out." | | 9 | "She turned the bone token" | | 10 | "It felt cold, older than" | | 11 | "She slipped it into her" | | 12 | "Her gaze swept the area," | | 13 | "She picked it up." | | 14 | "It was heavier than expected." | | 15 | "It trembled, then began to" | | 16 | "Her breath caught." | | 17 | "It quivered, then snapped to" | | 18 | "She stared into the darkness" | | 19 | "She turned the compass over" |
| | ratio | 0.3 | |
| 15.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 100 | | matches | | 0 | "The blood spray arced up" | | 1 | "Detective Harlow Quinn crouched, her" | | 2 | "She ignored them." | | 3 | "The abandoned Camden Town tube" | | 4 | "The air tasted of wet" | | 5 | "DS Fletcher said, his voice" | | 6 | "He stood a few yards" | | 7 | "Quinn didn’t look up." | | 8 | "Her eyes tracked the crimson" | | 9 | "A waxed jacket that hadn’t" | | 10 | "she repeated, her own voice" | | 11 | "Fletcher gestured vaguely at the" | | 12 | "Quinn’s sharp jaw tightened." | | 13 | "She pulled a small torch" | | 14 | "The beam cut through the" | | 15 | "The victim lay on his" | | 16 | "The head wound was a" | | 17 | "she said, pointing her torch" | | 18 | "The beam traced the crescent" | | 19 | "Fletcher sighed, a long-suffering sound." |
| | ratio | 0.89 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 9 | | matches | | 0 | "DS Fletcher said, his voice echoing in the vaulted space" | | 1 | "she repeated, her own voice flat" | | 2 | "Quinn said, more to herself than to Fletcher" | | 3 | "Fletcher said, his impatience growing" | | 4 | "Quinn said, her voice low" | | 5 | "Quinn walked, the compass held out before her like a dowser’s rod" | | 6 | "Quinn said, her deduction clicking into place" | | 7 | "She turned, her face stark in the torchlight" | | 8 | "Quinn said, her decision made" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 40 | | tagDensity | 0.225 | | leniency | 0.45 | | rawRatio | 0.111 | | effectiveRatio | 0.05 | |