| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.29 | | leniency | 0.581 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1092 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 58.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1092 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "echoed" | | 1 | "weight" | | 2 | "familiar" | | 3 | "pristine" | | 4 | "etched" | | 5 | "absolutely" | | 6 | "unwavering" | | 7 | "could feel" | | 8 | "measured" |
| |
| 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 | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1101 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 769 | | uniqueNames | 5 | | maxNameDensity | 0.91 | | worstName | "Chen" | | maxWindowNameDensity | 2 | | worstWindowName | "Chen" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 6 | | Inspector | 1 | | Chen | 7 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Inspector" | | 3 | "Chen" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | 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 | 1101 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 30.58 | | std | 21.78 | | cv | 0.712 | | sampleLengths | | 0 | 41 | | 1 | 73 | | 2 | 18 | | 3 | 61 | | 4 | 55 | | 5 | 9 | | 6 | 48 | | 7 | 10 | | 8 | 42 | | 9 | 3 | | 10 | 4 | | 11 | 30 | | 12 | 62 | | 13 | 74 | | 14 | 5 | | 15 | 14 | | 16 | 38 | | 17 | 6 | | 18 | 47 | | 19 | 4 | | 20 | 11 | | 21 | 4 | | 22 | 49 | | 23 | 29 | | 24 | 7 | | 25 | 51 | | 26 | 41 | | 27 | 15 | | 28 | 42 | | 29 | 31 | | 30 | 4 | | 31 | 56 | | 32 | 53 | | 33 | 8 | | 34 | 27 | | 35 | 29 |
| |
| 81.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 75 | | matches | | 0 | "been closed" | | 1 | "been stripped" | | 2 | "was etched" | | 3 | "been carried" | | 4 | "been carried" |
| |
| 47.33% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 131 | | matches | | 0 | "was looking" | | 1 | "was looking" | | 2 | "was pointing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 96 | | ratio | 0.073 | | matches | | 0 | "The station had been closed since the seventies — or so the file said." | | 1 | "The victim was male, mid-thirties, dressed in clothes that looked expensive but wrong — a suit jacket over a band t-shirt, designer shoes that had never seen a proper day's work." | | 2 | "A man who falls down an escalator catches himself — he throws out his arms, his palms take the brunt." | | 3 | "But there were signs of recent life — cigarette butts ground into the concrete, a discarded lighter, the faint outline of where something heavy had sat against the wall." | | 4 | "\"Maybe.\" But the patina was wrong — too even, too deliberate." | | 5 | "As they rolled him onto his side, she saw it — a small incision at the base of the skull, hidden by the hairline." | | 6 | "But she could feel something — a current in the air, a pressure change that had nothing to do with ventilation." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 764 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.032722513089005235 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006544502617801047 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 11.47 | | std | 8.77 | | cv | 0.765 | | sampleLengths | | 0 | 12 | | 1 | 29 | | 2 | 20 | | 3 | 21 | | 4 | 14 | | 5 | 18 | | 6 | 11 | | 7 | 7 | | 8 | 12 | | 9 | 20 | | 10 | 17 | | 11 | 12 | | 12 | 31 | | 13 | 19 | | 14 | 2 | | 15 | 2 | | 16 | 1 | | 17 | 9 | | 18 | 14 | | 19 | 21 | | 20 | 13 | | 21 | 3 | | 22 | 7 | | 23 | 3 | | 24 | 7 | | 25 | 20 | | 26 | 4 | | 27 | 8 | | 28 | 3 | | 29 | 2 | | 30 | 2 | | 31 | 9 | | 32 | 21 | | 33 | 9 | | 34 | 19 | | 35 | 29 | | 36 | 3 | | 37 | 2 | | 38 | 9 | | 39 | 16 | | 40 | 24 | | 41 | 7 | | 42 | 8 | | 43 | 10 | | 44 | 5 | | 45 | 7 | | 46 | 7 | | 47 | 11 | | 48 | 13 | | 49 | 7 |
| |
| 74.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4791666666666667 | | totalSentences | 96 | | uniqueOpeners | 46 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 82.69% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 67 | | matches | | 0 | "She descended, her worn leather" | | 1 | "Her left wrist bore the" | | 2 | "It clung to the sinuses," | | 3 | "His eyes were open, fixed" | | 4 | "she asked, crouching beside the" | | 5 | "He was younger than her," | | 6 | "She was looking at the" | | 7 | "They were clean." | | 8 | "She stood, brushing dust from" | | 9 | "She walked a slow circuit" | | 10 | "She crossed to it, knelt," | | 11 | "She picked it up carefully" | | 12 | "He walked over, squinted at" | | 13 | "She was looking at the" | | 14 | "He hadn't walked." | | 15 | "They worked together, careful to" | | 16 | "she said, her voice flat" | | 17 | "She pointed to the dark" | | 18 | "She stood, wiping her hands" | | 19 | "She pulled it out again." |
| | ratio | 0.343 | |
| 42.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 67 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn stood at" | | 2 | "The body lay at the" | | 3 | "Emergency lights strung along the" | | 4 | "The station had been closed" | | 5 | "Detective Inspector Chen's voice echoed" | | 6 | "She descended, her worn leather" | | 7 | "Her left wrist bore the" | | 8 | "It clung to the sinuses," | | 9 | "The victim was male, mid-thirties," | | 10 | "His eyes were open, fixed" | | 11 | "she asked, crouching beside the" | | 12 | "Chen stood back, arms crossed" | | 13 | "He was younger than her," | | 14 | "Quinn didn't respond." | | 15 | "She was looking at the" | | 16 | "They were clean." | | 17 | "A man who falls down" | | 18 | "These hands were pristine." | | 19 | "The nails were even trimmed," |
| | ratio | 0.836 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 3 | | matches | | 0 | "The victim was male, mid-thirties, dressed in clothes that looked expensive but wrong — a suit jacket over a band t-shirt, designer shoes that had never seen a …" | | 1 | "He was younger than her, eager, still wearing the armor of a detective who believed every case had a clean explanation." | | 2 | "A man who falls down an escalator catches himself — he throws out his arms, his palms take the brunt." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, her voice flat" | | 1 | "she asked, turning to face the empty platform" | | 2 | "she said, not turning around" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.161 | | leniency | 0.323 | | rawRatio | 0 | | effectiveRatio | 0 | |