| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stepped away [away]" |
| | dialogueSentences | 68 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.05 | | effectiveRatio | 0.029 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1356 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 77.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1356 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "weight" | | 1 | "etched" | | 2 | "database" | | 3 | "standard" | | 4 | "familiar" | | 5 | "silence" |
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| 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 | 96 | | matches | (empty) | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 12 | | totalWords | 1337 | | ratio | 0.009 | | matches | | 0 | "this is wrong" | | 1 | "you've seen this before" | | 2 | "don't ignore it this time" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 37.71% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 757 | | uniqueNames | 12 | | maxNameDensity | 2.25 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | British | 2 | | Museum | 3 | | Quinn | 17 | | Pembroke | 11 | | Like | 3 | | Morris | 1 | | Found | 1 | | Kowalski | 2 | | American | 1 | | Eastern | 1 | | European | 1 | | Silence | 1 |
| | persons | | 0 | "Museum" | | 1 | "Quinn" | | 2 | "Pembroke" | | 3 | "Morris" | | 4 | "Kowalski" | | 5 | "Silence" |
| | places | (empty) | | globalScore | 0.377 | | windowScore | 0.5 | |
| 73.08% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 2 | | matches | | 0 | "Not quite letters, not quite pictures" | | 1 | "not quite pictures" | | 2 | "seemed mad" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1337 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 20.26 | | std | 14.56 | | cv | 0.719 | | sampleLengths | | 0 | 21 | | 1 | 59 | | 2 | 29 | | 3 | 26 | | 4 | 4 | | 5 | 10 | | 6 | 43 | | 7 | 35 | | 8 | 7 | | 9 | 4 | | 10 | 30 | | 11 | 13 | | 12 | 14 | | 13 | 54 | | 14 | 13 | | 15 | 41 | | 16 | 39 | | 17 | 8 | | 18 | 25 | | 19 | 1 | | 20 | 40 | | 21 | 26 | | 22 | 24 | | 23 | 39 | | 24 | 4 | | 25 | 32 | | 26 | 29 | | 27 | 33 | | 28 | 3 | | 29 | 9 | | 30 | 20 | | 31 | 8 | | 32 | 33 | | 33 | 10 | | 34 | 11 | | 35 | 9 | | 36 | 42 | | 37 | 16 | | 38 | 2 | | 39 | 24 | | 40 | 14 | | 41 | 32 | | 42 | 6 | | 43 | 51 | | 44 | 2 | | 45 | 2 | | 46 | 23 | | 47 | 31 | | 48 | 21 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 96 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 142 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 140 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 764 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.03926701570680628 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003926701570680628 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 9.55 | | std | 6.41 | | cv | 0.671 | | sampleLengths | | 0 | 21 | | 1 | 15 | | 2 | 9 | | 3 | 6 | | 4 | 29 | | 5 | 13 | | 6 | 16 | | 7 | 5 | | 8 | 6 | | 9 | 10 | | 10 | 5 | | 11 | 4 | | 12 | 5 | | 13 | 5 | | 14 | 9 | | 15 | 16 | | 16 | 7 | | 17 | 7 | | 18 | 4 | | 19 | 9 | | 20 | 10 | | 21 | 2 | | 22 | 3 | | 23 | 11 | | 24 | 3 | | 25 | 4 | | 26 | 4 | | 27 | 7 | | 28 | 5 | | 29 | 10 | | 30 | 8 | | 31 | 4 | | 32 | 9 | | 33 | 13 | | 34 | 1 | | 35 | 5 | | 36 | 18 | | 37 | 9 | | 38 | 6 | | 39 | 4 | | 40 | 12 | | 41 | 8 | | 42 | 5 | | 43 | 21 | | 44 | 13 | | 45 | 5 | | 46 | 2 | | 47 | 22 | | 48 | 6 | | 49 | 11 |
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| 97.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5928571428571429 | | totalSentences | 140 | | uniqueOpeners | 83 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 83 | | matches | | 0 | "Then he stopped, looked around," | | 1 | "Then static washed across the" | | 2 | "Of course he did." | | 3 | "At least three hours old," |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 83 | | matches | | 0 | "She ducked under the police" | | 1 | "She photographed the wound from" | | 2 | "She walked the alley's length." | | 3 | "She crouched, didn't touch it." | | 4 | "They seemed to shift when" | | 5 | "She photographed it from multiple" | | 6 | "She returned to the body," | | 7 | "She pointed to yellow staining" | | 8 | "She stood, brushed her hands" | | 9 | "She pointed to the victim's" | | 10 | "She photographed the clean shoes" | | 11 | "She stepped away, pulled out" | | 12 | "She turned back to Pembroke." | | 13 | "She walked toward the street," | | 14 | "She adjusted her watch, habit" |
| | ratio | 0.181 | |
| 80.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 83 | | matches | | 0 | "The alley behind the British" | | 1 | "She ducked under the police" | | 2 | "The body sprawled at her" | | 3 | "Italian leather, maybe a thousand" | | 4 | "Blood pooled beneath the torso" | | 5 | "DS Pembroke said, notebook already" | | 6 | "Quinn knelt beside the body." | | 7 | "The wound gaped through his" | | 8 | "That caught her attention first." | | 9 | "Pembroke shifted his weight" | | 10 | "Quinn pulled out her mobile," | | 11 | "The edges of the fabric" | | 12 | "She photographed the wound from" | | 13 | "Pembroke pulled up his tablet," | | 14 | "The grainy black-and-white showed their" | | 15 | "The man on screen raised" | | 16 | "Quinn stood, brushed dirt from" | | 17 | "She walked the alley's length." | | 18 | "Victorian brick walls rose three" | | 19 | "The Museum's loading bay door" |
| | ratio | 0.759 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 1 | | matches | | 0 | "Blood pooled beneath the torso in a shape that reminded her of a bat's wing, spreading into the cracks between cobblestones worn smooth by two centuries of foot…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 68 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 0 | | effectiveRatio | 0 | |