| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn crouched again [again]" | | 1 | "Quinn's torch swept back [back]" |
| | dialogueSentences | 80 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0.071 | | effectiveRatio | 0.05 | |
| 93.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1569 | | 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) | |
| 52.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1569 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "shimmered" | | 1 | "stomach" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "traced" | | 5 | "determining" | | 6 | "pristine" | | 7 | "etched" | | 8 | "database" | | 9 | "chill" | | 10 | "flicked" | | 11 | "comfortable" | | 12 | "weight" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 95 | | matches | | |
| 37.59% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 4 | | narrationSentences | 95 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "happened to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 147 | | 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 | 1 | | markdownWords | 10 | | totalWords | 1574 | | ratio | 0.006 | | matches | | 0 | "Found entrance beneath Camden. You won't believe what's down here." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 70 | | wordCount | 835 | | uniqueNames | 14 | | maxNameDensity | 3.95 | | worstName | "Quinn" | | maxWindowNameDensity | 7 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 2 | | Quinn | 33 | | Tube | 1 | | Victorian | 1 | | Sergeant | 1 | | Parker | 8 | | Young | 1 | | Manicured | 1 | | Evidence | 1 | | Camden | 2 | | Morris | 3 | | Eva | 12 | | Merrick | 1 | | Three | 3 |
| | persons | | 0 | "Detective" | | 1 | "Quinn" | | 2 | "Victorian" | | 3 | "Sergeant" | | 4 | "Parker" | | 5 | "Manicured" | | 6 | "Morris" | | 7 | "Eva" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | 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 | 1574 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 147 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 69 | | mean | 22.81 | | std | 13.27 | | cv | 0.582 | | sampleLengths | | 0 | 45 | | 1 | 15 | | 2 | 41 | | 3 | 11 | | 4 | 21 | | 5 | 45 | | 6 | 18 | | 7 | 41 | | 8 | 36 | | 9 | 11 | | 10 | 30 | | 11 | 36 | | 12 | 3 | | 13 | 17 | | 14 | 2 | | 15 | 35 | | 16 | 15 | | 17 | 8 | | 18 | 44 | | 19 | 11 | | 20 | 35 | | 21 | 12 | | 22 | 13 | | 23 | 20 | | 24 | 1 | | 25 | 8 | | 26 | 22 | | 27 | 40 | | 28 | 14 | | 29 | 33 | | 30 | 49 | | 31 | 13 | | 32 | 12 | | 33 | 36 | | 34 | 3 | | 35 | 28 | | 36 | 7 | | 37 | 34 | | 38 | 3 | | 39 | 5 | | 40 | 30 | | 41 | 33 | | 42 | 20 | | 43 | 39 | | 44 | 17 | | 45 | 27 | | 46 | 29 | | 47 | 36 | | 48 | 5 | | 49 | 23 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 152 | | matches | (empty) | |
| 26.24% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 147 | | ratio | 0.041 | | matches | | 0 | "Something was wrong with the pattern – it didn't match the position of the body." | | 1 | "Boot prints in the dust – multiple sets, different sizes." | | 2 | "Something nagged at her – a pattern in the dust, barely perceptible footprints leading away from the scene." | | 3 | "Fragments of a case from three years ago surfaced in her memory – her partner Morris, vanished during what should have been a routine smuggling investigation." | | 4 | "A woman stood at the edge of the circle of light – curly red hair, round glasses, clutching a worn leather satchel." | | 5 | "Quinn's hand closed around the compass in her pocket, feeling its weight – heavier somehow than mere brass should be." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 834 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.03117505995203837 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.013189448441247002 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 147 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 147 | | mean | 10.71 | | std | 7 | | cv | 0.654 | | sampleLengths | | 0 | 10 | | 1 | 20 | | 2 | 15 | | 3 | 15 | | 4 | 13 | | 5 | 12 | | 6 | 2 | | 7 | 2 | | 8 | 2 | | 9 | 10 | | 10 | 11 | | 11 | 13 | | 12 | 8 | | 13 | 12 | | 14 | 15 | | 15 | 18 | | 16 | 6 | | 17 | 12 | | 18 | 6 | | 19 | 10 | | 20 | 11 | | 21 | 14 | | 22 | 13 | | 23 | 12 | | 24 | 11 | | 25 | 7 | | 26 | 4 | | 27 | 13 | | 28 | 17 | | 29 | 11 | | 30 | 2 | | 31 | 3 | | 32 | 16 | | 33 | 4 | | 34 | 3 | | 35 | 8 | | 36 | 9 | | 37 | 2 | | 38 | 7 | | 39 | 9 | | 40 | 19 | | 41 | 9 | | 42 | 6 | | 43 | 8 | | 44 | 8 | | 45 | 9 | | 46 | 18 | | 47 | 9 | | 48 | 11 | | 49 | 11 |
| |
| 77.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.5034013605442177 | | totalSentences | 147 | | uniqueOpeners | 74 | |
| 38.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 86 | | matches | | 0 | "Just a peculiar brass compass" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 86 | | matches | | 0 | "Her footsteps echoed against the" | | 1 | "She followed them, leaving the" | | 2 | "She pressed her palm against" | | 3 | "His last message: *Found entrance" | | 4 | "You won't believe what's down" | | 5 | "She'd never found him." | | 6 | "Her sharp jaw tightened" | | 7 | "She tapped experimentally, listening for" | | 8 | "She should arrest this woman," | | 9 | "she said, following Eva toward" |
| | ratio | 0.116 | |
| 41.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 86 | | matches | | 0 | "Blood shimmered beneath the weak" | | 1 | "The metallic tang turned Detective" | | 2 | "Her footsteps echoed against the" | | 3 | "Quinn muttered, stepping over a" | | 4 | "The victim lay sprawled near" | | 5 | "Quinn asked, squatting beside the" | | 6 | "The forensic examiner looked up," | | 7 | "Quinn's torch beam traced the" | | 8 | "Something was wrong with the" | | 9 | "the examiner said" | | 10 | "Quinn circled the scene, cataloguing" | | 11 | "Blood droplets leading away from" | | 12 | "Detective Sergeant Parker appeared at" | | 13 | "Quinn glanced at her worn" | | 14 | "Parker gestured to the platform" | | 15 | "Quinn crouched again, studying the" | | 16 | "The compass he clutched had" | | 17 | "Quinn pointed to the spatter" | | 18 | "Quinn bagged the compass herself" | | 19 | "Evidence, but something told her" |
| | ratio | 0.837 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "The metallic tang turned Detective Quinn's stomach as her torch beam cut through darkness that hadn't been disturbed in decades." | | 1 | "Eva smiled, a knowing look that made Quinn's skin prickle." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn muttered (mutter)" |
| | dialogueSentences | 80 | | tagDensity | 0.05 | | leniency | 0.1 | | rawRatio | 0.25 | | effectiveRatio | 0.025 | |