| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 33 | | tagDensity | 0.394 | | leniency | 0.788 | | rawRatio | 0.077 | | effectiveRatio | 0.061 | |
| 91.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1115 | | 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) | |
| 82.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1115 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "weight" | | 1 | "sinister" | | 2 | "traced" | | 3 | "comfortable" |
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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 | 49 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 49 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 63 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1115 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.25% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 773 | | uniqueNames | 8 | | maxNameDensity | 1.03 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Ferris" | | discoveredNames | | Lock | 1 | | Road | 1 | | London | 3 | | Ferris | 6 | | September | 1 | | Quinn | 8 | | Renner | 2 | | Morris | 2 |
| | persons | | 0 | "Ferris" | | 1 | "Quinn" | | 2 | "Renner" | | 3 | "Morris" |
| | places | | 0 | "Lock" | | 1 | "Road" | | 2 | "London" | | 3 | "September" |
| | globalScore | 0.983 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | 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 | 1115 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 31.86 | | std | 25.82 | | cv | 0.81 | | sampleLengths | | 0 | 24 | | 1 | 53 | | 2 | 35 | | 3 | 9 | | 4 | 22 | | 5 | 9 | | 6 | 96 | | 7 | 5 | | 8 | 40 | | 9 | 1 | | 10 | 51 | | 11 | 57 | | 12 | 5 | | 13 | 28 | | 14 | 17 | | 15 | 33 | | 16 | 14 | | 17 | 67 | | 18 | 80 | | 19 | 9 | | 20 | 27 | | 21 | 18 | | 22 | 62 | | 23 | 8 | | 24 | 18 | | 25 | 5 | | 26 | 94 | | 27 | 1 | | 28 | 29 | | 29 | 4 | | 30 | 35 | | 31 | 55 | | 32 | 50 | | 33 | 14 | | 34 | 40 |
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| 98.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 49 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 140 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 69 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 774 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.037467700258397935 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.015503875968992248 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 16.16 | | std | 13.85 | | cv | 0.857 | | sampleLengths | | 0 | 24 | | 1 | 19 | | 2 | 34 | | 3 | 12 | | 4 | 23 | | 5 | 9 | | 6 | 7 | | 7 | 15 | | 8 | 9 | | 9 | 18 | | 10 | 33 | | 11 | 18 | | 12 | 2 | | 13 | 25 | | 14 | 5 | | 15 | 16 | | 16 | 24 | | 17 | 1 | | 18 | 35 | | 19 | 16 | | 20 | 10 | | 21 | 23 | | 22 | 1 | | 23 | 2 | | 24 | 21 | | 25 | 5 | | 26 | 28 | | 27 | 3 | | 28 | 14 | | 29 | 24 | | 30 | 9 | | 31 | 14 | | 32 | 60 | | 33 | 3 | | 34 | 4 | | 35 | 55 | | 36 | 8 | | 37 | 3 | | 38 | 2 | | 39 | 12 | | 40 | 9 | | 41 | 8 | | 42 | 19 | | 43 | 13 | | 44 | 5 | | 45 | 15 | | 46 | 47 | | 47 | 8 | | 48 | 18 | | 49 | 3 |
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| 95.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.6521739130434783 | | totalSentences | 69 | | uniqueOpeners | 45 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 39 | | matches | | 0 | "Just a small stamped symbol" |
| | ratio | 0.026 | |
| 76.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 39 | | matches | | 0 | "He shrugged, the kind of" | | 1 | "He crouched beside her, close" | | 2 | "She turned the wrist gently" | | 3 | "She said nothing to that," | | 4 | "She'd believed him." | | 5 | "She'd been wrong to." | | 6 | "She picked it up with" | | 7 | "He glanced at it and" | | 8 | "She turned it over" | | 9 | "He hesitated, just long enough" | | 10 | "It bit at her skin" | | 11 | "She flexed her fingers, willing" | | 12 | "she said, crouching again to" | | 13 | "he said quietly, reaching into" |
| | ratio | 0.359 | |
| 62.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 31 | | totalSentences | 39 | | matches | | 0 | "The smell hit her first:" | | 1 | "Quinn ducked under the tape" | | 2 | "Camden Lock Road above her," | | 3 | "DC Ferris met her at" | | 4 | "Ferris didn't look up from" | | 5 | "Quinn crossed the threshold into" | | 6 | "The body lay at the" | | 7 | "Frost feathered the walls in" | | 8 | "Ferris tucked his pen behind" | | 9 | "He shrugged, the kind of" | | 10 | "Quinn knelt by the body's" | | 11 | "The skin at Renner's wrists" | | 12 | "He crouched beside her, close" | | 13 | "She turned the wrist gently" | | 14 | "She said nothing to that," | | 15 | "She'd believed him." | | 16 | "She'd been wrong to." | | 17 | "Quinn stood and paced the" | | 18 | "She picked it up with" | | 19 | "He glanced at it and" |
| | ratio | 0.795 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 5 | | matches | | 0 | "Frost feathered the walls in patterns that had no business existing in a heated basement flat in September." | | 1 | "She said nothing to that, because some part of her had heard a version of this exact conversation three years ago, standing over a different body in a different…" | | 2 | "Quinn stood and paced the salt ring's edge, careful not to disturb it, studying the way it curved unevenly in one place, as if whoever poured it had been interr…" | | 3 | "Ferris opened his mouth to argue, some comfortable rebuttal already forming, the kind that had let him sleep well through a career of tidy conclusions." | | 4 | "The needle inside spun, slow and restless, refusing to settle no matter which way she turned it, as though the whole room pulled at it from every direction at o…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0 | | effectiveRatio | 0 | |