| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stepped back [back]" |
| | dialogueSentences | 146 | | tagDensity | 0.11 | | leniency | 0.219 | | rawRatio | 0.063 | | effectiveRatio | 0.014 | |
| 95.49% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2219 | | 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) | |
| 88.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2219 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "jaw clenched" | | 1 | "weight" | | 2 | "traced" | | 3 | "warmth" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
| | 1 | | label | "room fell silent" | | count | 1 |
|
| | highlights | | 0 | "jaw clenched" | | 1 | "The room fell silent" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 160 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 160 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 290 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2219 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 25 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 79 | | wordCount | 1380 | | uniqueNames | 14 | | maxNameDensity | 1.88 | | worstName | "Lucien" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 4 | | Moreau | 1 | | Brick | 1 | | Lane | 1 | | Lucien | 26 | | Aurora | 26 | | Silas | 3 | | Evan | 4 | | Marseille | 1 | | Cold | 1 | | Ptolemy | 4 | | London | 1 | | Four | 3 | | Blood | 3 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Aurora" | | 4 | "Silas" | | 5 | "Evan" | | 6 | "Ptolemy" | | 7 | "Blood" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" | | 3 | "London" |
| | globalScore | 0.558 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 99 | | glossingSentenceCount | 1 | | matches | | 0 | "something like that for months" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.451 | | wordCount | 2219 | | matches | | 0 | "Not their stories, but their shapes" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 290 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 216 | | mean | 10.27 | | std | 12.47 | | cv | 1.214 | | sampleLengths | | 0 | 11 | | 1 | 35 | | 2 | 51 | | 3 | 7 | | 4 | 5 | | 5 | 9 | | 6 | 5 | | 7 | 4 | | 8 | 4 | | 9 | 16 | | 10 | 32 | | 11 | 14 | | 12 | 4 | | 13 | 5 | | 14 | 2 | | 15 | 1 | | 16 | 12 | | 17 | 31 | | 18 | 7 | | 19 | 3 | | 20 | 4 | | 21 | 1 | | 22 | 4 | | 23 | 10 | | 24 | 3 | | 25 | 3 | | 26 | 21 | | 27 | 21 | | 28 | 5 | | 29 | 5 | | 30 | 5 | | 31 | 8 | | 32 | 70 | | 33 | 3 | | 34 | 23 | | 35 | 17 | | 36 | 7 | | 37 | 5 | | 38 | 3 | | 39 | 1 | | 40 | 4 | | 41 | 18 | | 42 | 9 | | 43 | 4 | | 44 | 4 | | 45 | 1 | | 46 | 4 | | 47 | 9 | | 48 | 19 | | 49 | 6 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 231 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 290 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1382 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.027496382054992764 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.00361794500723589 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 290 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 290 | | mean | 7.65 | | std | 6.13 | | cv | 0.801 | | sampleLengths | | 0 | 5 | | 1 | 3 | | 2 | 3 | | 3 | 24 | | 4 | 11 | | 5 | 19 | | 6 | 8 | | 7 | 6 | | 8 | 18 | | 9 | 7 | | 10 | 5 | | 11 | 9 | | 12 | 5 | | 13 | 4 | | 14 | 4 | | 15 | 16 | | 16 | 16 | | 17 | 7 | | 18 | 9 | | 19 | 14 | | 20 | 4 | | 21 | 5 | | 22 | 2 | | 23 | 1 | | 24 | 7 | | 25 | 5 | | 26 | 5 | | 27 | 26 | | 28 | 7 | | 29 | 3 | | 30 | 4 | | 31 | 1 | | 32 | 4 | | 33 | 10 | | 34 | 3 | | 35 | 3 | | 36 | 9 | | 37 | 3 | | 38 | 9 | | 39 | 3 | | 40 | 18 | | 41 | 5 | | 42 | 5 | | 43 | 5 | | 44 | 8 | | 45 | 8 | | 46 | 16 | | 47 | 25 | | 48 | 21 | | 49 | 3 |
| |
| 44.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.23103448275862068 | | totalSentences | 290 | | uniqueOpeners | 67 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 139 | | matches | | 0 | "Then the second." | | 1 | "Then the third." | | 2 | "Somewhere on Brick Lane, a" | | 3 | "Just pain, and something worse" | | 4 | "Then she slid the chain" | | 5 | "Once, on a night that" |
| | ratio | 0.043 | |
| 73.24% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 139 | | matches | | 0 | "His platinum hair had lost" | | 1 | "His ivory-handled cane rested against" | | 2 | "His mouth almost moved into" | | 3 | "It died before it formed." | | 4 | "It had soaked through the" | | 5 | "She tightened her grip on" | | 6 | "Her jaw clenched." | | 7 | "He leaned a little more" | | 8 | "His knuckles had gone pale" | | 9 | "His mismatched eyes held hers." | | 10 | "Her fingers tightened around the" | | 11 | "His head tilted, listening." | | 12 | "He placed choices in front" | | 13 | "He entered with a limp" | | 14 | "She laughed once." | | 15 | "It came out sharp." | | 16 | "He lowered himself into the" | | 17 | "His cane leaned against his" | | 18 | "His face had lost colour" | | 19 | "She dragged the first-aid tin" |
| | ratio | 0.367 | |
| 31.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 119 | | totalSentences | 139 | | matches | | 0 | "The first deadbolt scraped back." | | 1 | "Aurora opened the door with" | | 2 | "Ptolemy pressed against her bare" | | 3 | "Lucien Moreau stood on the" | | 4 | "His platinum hair had lost" | | 5 | "His ivory-handled cane rested against" | | 6 | "Aurora left the chain where" | | 7 | "Lucien looked at the knife," | | 8 | "The smell of wet pavement" | | 9 | "Ptolemy gave a low, suspicious" | | 10 | "Lucien bent, his amber eye" | | 11 | "His mouth almost moved into" | | 12 | "It died before it formed." | | 13 | "Aurora noticed the blood then." | | 14 | "It had soaked through the" | | 15 | "She tightened her grip on" | | 16 | "Her jaw clenched." | | 17 | "He leaned a little more" | | 18 | "His knuckles had gone pale" | | 19 | "Aurora stared at him through" |
| | ratio | 0.856 | |
| 71.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 139 | | matches | | 0 | "As though protection had not" | | 1 | "Before she reached the third," |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 3 | | fancyTags | | 0 | "he muttered (mutter)" | | 1 | "he continued (continue)" | | 2 | "Aurora added (add)" |
| | dialogueSentences | 146 | | tagDensity | 0.096 | | leniency | 0.192 | | rawRatio | 0.214 | | effectiveRatio | 0.041 | |