| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 2 | | adverbTags | | 0 | "She glanced back [back]" | | 1 | "She swallowed hard [hard]" |
| | dialogueSentences | 81 | | tagDensity | 0.259 | | leniency | 0.519 | | rawRatio | 0.095 | | effectiveRatio | 0.049 | |
| 88.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1706 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "perfectly" | | 1 | "lazily" | | 2 | "barely above a whisper" | | 3 | "completely" |
| |
| 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) | |
| 70.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1706 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "gloom" | | 1 | "etched" | | 2 | "pristine" | | 3 | "shattered" | | 4 | "whisper" | | 5 | "perfect" | | 6 | "tracing" | | 7 | "weight" | | 8 | "intensity" |
| |
| 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 | 86 | | matches | (empty) | |
| 93.02% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1696 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 61.21% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 901 | | uniqueNames | 6 | | maxNameDensity | 1.78 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Warrens | 8 | | Quinn | 16 | | Tube | 1 | | Italian | 1 | | Morris | 2 | | Deptford | 1 |
| | persons | | 0 | "Warrens" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | | | globalScore | 0.612 | | windowScore | 0.833 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 2 | | matches | | 0 | "symbols that seemed to shift beneath the verdigris patina" | | 1 | "seemed deeper now, the patina worn away in places by recent handling" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1696 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 76 | | mean | 22.32 | | std | 18.98 | | cv | 0.851 | | sampleLengths | | 0 | 24 | | 1 | 28 | | 2 | 53 | | 3 | 44 | | 4 | 14 | | 5 | 1 | | 6 | 6 | | 7 | 26 | | 8 | 7 | | 9 | 26 | | 10 | 7 | | 11 | 39 | | 12 | 40 | | 13 | 1 | | 14 | 48 | | 15 | 2 | | 16 | 29 | | 17 | 31 | | 18 | 48 | | 19 | 3 | | 20 | 3 | | 21 | 3 | | 22 | 16 | | 23 | 32 | | 24 | 4 | | 25 | 10 | | 26 | 58 | | 27 | 13 | | 28 | 3 | | 29 | 7 | | 30 | 8 | | 31 | 37 | | 32 | 21 | | 33 | 3 | | 34 | 50 | | 35 | 7 | | 36 | 48 | | 37 | 2 | | 38 | 28 | | 39 | 2 | | 40 | 75 | | 41 | 22 | | 42 | 1 | | 43 | 5 | | 44 | 22 | | 45 | 2 | | 46 | 5 | | 47 | 4 | | 48 | 47 | | 49 | 26 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 86 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 148 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 145 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 726 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.03856749311294766 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.01652892561983471 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 11.7 | | std | 8.71 | | cv | 0.744 | | sampleLengths | | 0 | 24 | | 1 | 21 | | 2 | 7 | | 3 | 3 | | 4 | 24 | | 5 | 6 | | 6 | 1 | | 7 | 19 | | 8 | 11 | | 9 | 33 | | 10 | 10 | | 11 | 4 | | 12 | 1 | | 13 | 6 | | 14 | 11 | | 15 | 15 | | 16 | 4 | | 17 | 3 | | 18 | 2 | | 19 | 11 | | 20 | 3 | | 21 | 10 | | 22 | 7 | | 23 | 29 | | 24 | 10 | | 25 | 18 | | 26 | 22 | | 27 | 1 | | 28 | 29 | | 29 | 19 | | 30 | 2 | | 31 | 22 | | 32 | 7 | | 33 | 4 | | 34 | 26 | | 35 | 1 | | 36 | 4 | | 37 | 16 | | 38 | 16 | | 39 | 1 | | 40 | 11 | | 41 | 3 | | 42 | 3 | | 43 | 3 | | 44 | 2 | | 45 | 14 | | 46 | 4 | | 47 | 16 | | 48 | 12 | | 49 | 2 |
| |
| 73.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.4896551724137931 | | totalSentences | 145 | | uniqueOpeners | 71 | |
| 87.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 76 | | matches | | 0 | "Unofficially, it served as shelter" | | 1 | "Just Morris, torn apart from" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 76 | | matches | | 0 | "She circled the scene, her" | | 1 | "She knelt, examining the dusty" | | 2 | "He paused, torch sweeping the" | | 3 | "She approached the body, her" | | 4 | "Her gloved fingers found the" | | 5 | "She withdrew it, holding it" | | 6 | "It looked old, old in" | | 7 | "She paused, her brown eyes" | | 8 | "She was thinking about Morris." | | 9 | "His light caught damp brickwork," | | 10 | "She pressed her palm flat" | | 11 | "She glanced back at the" | | 12 | "She slipped it into her" | | 13 | "She swallowed hard" |
| | ratio | 0.184 | |
| 71.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 76 | | matches | | 0 | "The body hung upside down" | | 1 | "Quinn said nothing." | | 2 | "She circled the scene, her" | | 3 | "The station had closed in" | | 4 | "Quinn stopped at the platform's" | | 5 | "The DCI turned back to" | | 6 | "The corpse's sleeves had fallen" | | 7 | "The forearms ended in ragged" | | 8 | "Something had torn through flesh" | | 9 | "Quinn pulled a latex glove" | | 10 | "She knelt, examining the dusty" | | 11 | "Quinn stood, her military bearing" | | 12 | "He paused, torch sweeping the" | | 13 | "Quinn followed the beam." | | 14 | "The corpse wore a perfectly" | | 15 | "The shoes were hand-stitched leather," | | 16 | "The kind of expensive that" | | 17 | "Quinn was already moving." | | 18 | "She approached the body, her" | | 19 | "Her gloved fingers found the" |
| | ratio | 0.776 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 4 | | matches | | 0 | "She approached the body, her height allowing her to reach the jacket without standing on anything." | | 1 | "The compass in her hand grew warm, the needle straining toward the brickwork as if pulled by a magnet of immense strength." | | 2 | "Something that glittered with an iridescent sheen that had no place in construction materials from any era." | | 3 | "The woman hesitated, her gaze flicking between the two detectives before settling on Quinn with an intensity that bordered on recognition." |
| |
| 29.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 4 | | matches | | 0 | "Warrens crouched, his torch beam cutting through the underground gloom" | | 1 | "He paused, torch sweeping the hanging figure's attire" | | 2 | "Quinn returned, her fingers tracing the bone-flecked mortar" | | 3 | "nervous habit betrayed, fingers tucking hair behind her left ear repeatedly" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "Warrens continued (warren continue)" | | 1 | "Quinn observed (observe)" | | 2 | "She pressed (press)" |
| | dialogueSentences | 81 | | tagDensity | 0.037 | | leniency | 0.074 | | rawRatio | 1 | | effectiveRatio | 0.074 | |