| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 136 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2571 | | 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) | |
| 96.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2571 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 199 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 199 | | filterMatches | (empty) | | hedgeMatches | | 0 | "began to" | | 1 | "appeared to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 311 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2571 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 15.10% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 106 | | wordCount | 1705 | | uniqueNames | 12 | | maxNameDensity | 2.7 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 46 | | Tube | 1 | | Mornington | 1 | | Crescent | 1 | | Sergeant | 1 | | Malik | 1 | | Voss | 25 | | Farouk | 12 | | Dr | 1 | | Shah | 13 | | One | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Malik" | | 4 | "Voss" | | 5 | "Farouk" | | 6 | "Dr" | | 7 | "Shah" | | 8 | "One" |
| | places | | | globalScore | 0.151 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 137 | | 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 | 2571 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 311 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 169 | | mean | 15.21 | | std | 14.01 | | cv | 0.921 | | sampleLengths | | 0 | 67 | | 1 | 45 | | 2 | 9 | | 3 | 6 | | 4 | 7 | | 5 | 5 | | 6 | 4 | | 7 | 18 | | 8 | 46 | | 9 | 19 | | 10 | 2 | | 11 | 19 | | 12 | 4 | | 13 | 3 | | 14 | 36 | | 15 | 1 | | 16 | 23 | | 17 | 3 | | 18 | 11 | | 19 | 43 | | 20 | 11 | | 21 | 11 | | 22 | 5 | | 23 | 8 | | 24 | 15 | | 25 | 34 | | 26 | 3 | | 27 | 5 | | 28 | 13 | | 29 | 4 | | 30 | 2 | | 31 | 19 | | 32 | 7 | | 33 | 14 | | 34 | 46 | | 35 | 4 | | 36 | 30 | | 37 | 4 | | 38 | 3 | | 39 | 6 | | 40 | 2 | | 41 | 6 | | 42 | 5 | | 43 | 15 | | 44 | 10 | | 45 | 49 | | 46 | 5 | | 47 | 5 | | 48 | 9 | | 49 | 45 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 199 | | matches | | 0 | "were rolled" | | 1 | "was shaped" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 279 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 311 | | ratio | 0.006 | | matches | | 0 | "The pool told one story; the spray told another." | | 1 | "The dark liquid had pooled inside the heel cut; only a thin film coated the front." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1706 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.021101992966002344 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0023446658851113715 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 311 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 311 | | mean | 8.27 | | std | 4.83 | | cv | 0.584 | | sampleLengths | | 0 | 23 | | 1 | 18 | | 2 | 9 | | 3 | 17 | | 4 | 11 | | 5 | 17 | | 6 | 8 | | 7 | 9 | | 8 | 9 | | 9 | 6 | | 10 | 7 | | 11 | 5 | | 12 | 4 | | 13 | 5 | | 14 | 5 | | 15 | 8 | | 16 | 18 | | 17 | 18 | | 18 | 10 | | 19 | 6 | | 20 | 13 | | 21 | 2 | | 22 | 19 | | 23 | 4 | | 24 | 3 | | 25 | 9 | | 26 | 18 | | 27 | 9 | | 28 | 1 | | 29 | 23 | | 30 | 3 | | 31 | 11 | | 32 | 5 | | 33 | 14 | | 34 | 5 | | 35 | 3 | | 36 | 2 | | 37 | 14 | | 38 | 11 | | 39 | 11 | | 40 | 5 | | 41 | 8 | | 42 | 4 | | 43 | 11 | | 44 | 6 | | 45 | 18 | | 46 | 10 | | 47 | 3 | | 48 | 5 | | 49 | 7 |
| |
| 60.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3762057877813505 | | totalSentences | 311 | | uniqueOpeners | 117 | |
| 37.88% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 176 | | matches | | 0 | "Too far for a dropped" | | 1 | "Then a third." |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 176 | | matches | | 0 | "Her boots struck dry tile." | | 1 | "His sleeves were rolled above" | | 2 | "Their contents ranged from cloudy" | | 3 | "It had a smooth heel," | | 4 | "Their soles carried a dense" | | 5 | "She aimed the beam beneath" | | 6 | "It moved again, though neither" | | 7 | "He nodded toward an enamel" | | 8 | "It pointed straight into a" | | 9 | "They followed the teeth past" | | 10 | "She shone her torch into" | | 11 | "It bore the ridged outline" | | 12 | "It was a sliver of" | | 13 | "she told the photographer" | | 14 | "They returned to the platform." | | 15 | "She knelt on the clean" | | 16 | "He looked at the bag." | | 17 | "She shifted to the other" | | 18 | "It showed the blood pool," | | 19 | "He joined her at the" |
| | ratio | 0.176 | |
| 28.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 152 | | totalSentences | 176 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "Rainwater had eaten black trails" | | 2 | "A sign still promised trains" | | 3 | "A brass bell hung from" | | 4 | "Rows of empty stalls filled" | | 5 | "Someone had painted prices on" | | 6 | "The stall nearest Quinn offered" | | 7 | "Detective Sergeant Malik Voss lifted" | | 8 | "Quinn passed beneath the tape." | | 9 | "Her boots struck dry tile." | | 10 | "The victim lay between two" | | 11 | "A woman in a grey" | | 12 | "Blood spread beneath her head" | | 13 | "Quinn stopped short of the" | | 14 | "A single shoe print crossed" | | 15 | "Voss stood with his notebook" | | 16 | "His sleeves were rolled above" | | 17 | "Quinn had never got him" | | 18 | "Quinn looked at the vials." | | 19 | "Their contents ranged from cloudy" |
| | ratio | 0.864 | |
| 28.41% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 176 | | matches | | 0 | "While they waited, Quinn examined" |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 72 | | technicalSentenceCount | 1 | | matches | | 0 | "Voss extended his hand as if he held a blade, then lowered it." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 136 | | tagDensity | 0.118 | | leniency | 0.235 | | rawRatio | 0 | | effectiveRatio | 0 | |