| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.192 | | leniency | 0.385 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1180 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "cautiously" | | 2 | "really" | | 3 | "carefully" |
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| 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) | |
| 57.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1180 | | totalAiIsms | 10 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "carried the weight" | | count | 1 |
| | 8 | |
| | highlights | | 0 | "gleaming" | | 1 | "etched" | | 2 | "standard" | | 3 | "magnetic" | | 4 | "stomach" | | 5 | "echoed" | | 6 | "familiar" | | 7 | "carried the weight" | | 8 | "absolutely" |
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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 | 1 | | narrationSentences | 78 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1178 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 10.19% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 751 | | uniqueNames | 12 | | maxNameDensity | 2.8 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 21 | | Camden | 2 | | Victorian | 2 | | Mitchell | 7 | | Morris | 4 | | London | 1 | | September | 1 | | English | 1 | | European | 1 | | Market | 1 | | Hartwell | 2 | | Eva | 7 |
| | persons | | 0 | "Quinn" | | 1 | "Mitchell" | | 2 | "Morris" | | 3 | "Eva" |
| | places | | 0 | "Camden" | | 1 | "London" | | 2 | "Hartwell" |
| | globalScore | 0.102 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1178 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 120 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 17.85 | | std | 13.86 | | cv | 0.777 | | sampleLengths | | 0 | 9 | | 1 | 59 | | 2 | 19 | | 3 | 40 | | 4 | 15 | | 5 | 15 | | 6 | 12 | | 7 | 40 | | 8 | 10 | | 9 | 60 | | 10 | 3 | | 11 | 20 | | 12 | 31 | | 13 | 1 | | 14 | 21 | | 15 | 39 | | 16 | 3 | | 17 | 29 | | 18 | 4 | | 19 | 15 | | 20 | 34 | | 21 | 2 | | 22 | 20 | | 23 | 34 | | 24 | 5 | | 25 | 12 | | 26 | 24 | | 27 | 10 | | 28 | 3 | | 29 | 22 | | 30 | 9 | | 31 | 38 | | 32 | 15 | | 33 | 13 | | 34 | 29 | | 35 | 9 | | 36 | 33 | | 37 | 20 | | 38 | 12 | | 39 | 6 | | 40 | 22 | | 41 | 10 | | 42 | 44 | | 43 | 15 | | 44 | 7 | | 45 | 11 | | 46 | 41 | | 47 | 4 | | 48 | 27 | | 49 | 6 |
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| 96.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 78 | | matches | | 0 | "got buried" | | 1 | "been proven" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 126 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 120 | | ratio | 0 | | matches | (empty) | |
| 92.94% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 752 | | adjectiveStacks | 1 | | stackExamples | | 0 | "under bureaucratic red tape" |
| | adverbCount | 27 | | adverbRatio | 0.03590425531914894 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.02127659574468085 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 9.82 | | std | 6.01 | | cv | 0.612 | | sampleLengths | | 0 | 9 | | 1 | 18 | | 2 | 21 | | 3 | 20 | | 4 | 10 | | 5 | 9 | | 6 | 7 | | 7 | 22 | | 8 | 11 | | 9 | 15 | | 10 | 6 | | 11 | 9 | | 12 | 8 | | 13 | 4 | | 14 | 8 | | 15 | 2 | | 16 | 6 | | 17 | 24 | | 18 | 5 | | 19 | 5 | | 20 | 8 | | 21 | 11 | | 22 | 14 | | 23 | 16 | | 24 | 11 | | 25 | 3 | | 26 | 20 | | 27 | 9 | | 28 | 14 | | 29 | 2 | | 30 | 6 | | 31 | 1 | | 32 | 21 | | 33 | 12 | | 34 | 12 | | 35 | 5 | | 36 | 10 | | 37 | 3 | | 38 | 6 | | 39 | 23 | | 40 | 4 | | 41 | 12 | | 42 | 3 | | 43 | 15 | | 44 | 13 | | 45 | 6 | | 46 | 2 | | 47 | 9 | | 48 | 11 | | 49 | 8 |
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| 84.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5166666666666667 | | totalSentences | 120 | | uniqueOpeners | 62 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 4 | | totalSentences | 72 | | matches | | 0 | "She'd seen similar items before," | | 1 | "She turned her attention back" | | 2 | "She trailed off as her" | | 3 | "She wasn't about to let" |
| | ratio | 0.056 | |
| 57.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 72 | | matches | | 0 | "The chalk outline looked wrong" | | 1 | "Detective Quinn crouched beside the" | | 2 | "The deceased lay sprawled between" | | 3 | "DS Mitchell announced from the" | | 4 | "Quinn studied the scene without" | | 5 | "Something prickled at the edge" | | 6 | "The same one that had" | | 7 | "Mitchell approached, pulling out his" | | 8 | "Quinn stood, brushing dust from" | | 9 | "The victim's palms faced upward," | | 10 | "Quinn examined the compass without" | | 11 | "The needle pointed steadily northwest," | | 12 | "She'd seen similar items before," | | 13 | "Cases that got buried under" | | 14 | "The alley felt colder than" | | 15 | "Quinn walked the perimeter, noting" | | 16 | "Someone had climbed this wall" | | 17 | "Quinn knelt again, this time" | | 18 | "The cobblestones here were older" | | 19 | "Mitchell handed over his LED" |
| | ratio | 0.806 | |
| 69.44% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 72 | | matches | | 0 | "Whoever had placed it in" |
| | ratio | 0.014 | |
| 34.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 5 | | matches | | 0 | "Something prickled at the edge of her awareness, the same instinct that had kept her alive through eighteen years on the force." | | 1 | "Cases that got buried under bureaucratic red tape and convenient explanations." | | 2 | "Quinn directed the beam downward, following a thin line of white substance that formed what might have been geometric patterns around the body." | | 3 | "Irish, educated, with the particular precision that came from years of academic work." | | 4 | "The needle swung wildly for a moment before settling back to its northwestern bearing." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 92.31% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "DS Mitchell announced (announce)" | | 1 | "Mitchell suggested (suggest)" | | 2 | "Quinn interrupted (interrupt)" |
| | dialogueSentences | 52 | | tagDensity | 0.058 | | leniency | 0.115 | | rawRatio | 1 | | effectiveRatio | 0.115 | |