| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "Ray said quietly [quietly]" |
| | dialogueSentences | 31 | | tagDensity | 0.355 | | leniency | 0.71 | | rawRatio | 0.091 | | effectiveRatio | 0.065 | |
| 87.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 826 | | 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) | |
| 57.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 826 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "churning" | | 1 | "scanned" | | 2 | "trembled" | | 3 | "etched" | | 4 | "magnetic" | | 5 | "weight" | | 6 | "familiar" |
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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 | 40 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 40 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 60 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 826 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 507 | | uniqueNames | 7 | | maxNameDensity | 2.17 | | worstName | "Ray" | | maxWindowNameDensity | 4 | | worstWindowName | "Ray" | | discoveredNames | | Detective | 1 | | Constable | 1 | | Ray | 11 | | Okafor | 1 | | Quinn | 8 | | Halfway | 1 | | Thirty | 1 |
| | persons | | | places | (empty) | | globalScore | 0.415 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 30 | | 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 | 826 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 27.53 | | std | 21.63 | | cv | 0.785 | | sampleLengths | | 0 | 20 | | 1 | 5 | | 2 | 29 | | 3 | 75 | | 4 | 21 | | 5 | 1 | | 6 | 62 | | 7 | 5 | | 8 | 28 | | 9 | 46 | | 10 | 6 | | 11 | 5 | | 12 | 56 | | 13 | 14 | | 14 | 29 | | 15 | 28 | | 16 | 51 | | 17 | 26 | | 18 | 32 | | 19 | 7 | | 20 | 25 | | 21 | 52 | | 22 | 10 | | 23 | 79 | | 24 | 4 | | 25 | 43 | | 26 | 8 | | 27 | 20 | | 28 | 36 | | 29 | 3 |
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| 96.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 40 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 74 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 508 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.017716535433070866 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.005905511811023622 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 60 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 60 | | mean | 13.77 | | std | 9.33 | | cv | 0.678 | | sampleLengths | | 0 | 20 | | 1 | 5 | | 2 | 11 | | 3 | 18 | | 4 | 8 | | 5 | 29 | | 6 | 8 | | 7 | 30 | | 8 | 8 | | 9 | 13 | | 10 | 1 | | 11 | 23 | | 12 | 8 | | 13 | 31 | | 14 | 5 | | 15 | 20 | | 16 | 8 | | 17 | 4 | | 18 | 11 | | 19 | 16 | | 20 | 15 | | 21 | 6 | | 22 | 5 | | 23 | 17 | | 24 | 39 | | 25 | 6 | | 26 | 8 | | 27 | 7 | | 28 | 18 | | 29 | 4 | | 30 | 24 | | 31 | 3 | | 32 | 1 | | 33 | 13 | | 34 | 19 | | 35 | 19 | | 36 | 6 | | 37 | 20 | | 38 | 32 | | 39 | 7 | | 40 | 15 | | 41 | 10 | | 42 | 17 | | 43 | 18 | | 44 | 17 | | 45 | 2 | | 46 | 8 | | 47 | 29 | | 48 | 19 | | 49 | 31 |
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| 98.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.7 | | totalSentences | 60 | | uniqueOpeners | 42 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 35 | | matches | | 0 | "Then a voice came through" |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 35 | | matches | | 0 | "Its light pooled on the" | | 1 | "She studied the platform floor" | | 2 | "She pointed with her pen," | | 3 | "Her left wrist caught the" | | 4 | "He hauled the tripod across" | | 5 | "She had seen it." | | 6 | "She reached for her radio" |
| | ratio | 0.2 | |
| 45.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 29 | | totalSentences | 35 | | matches | | 0 | "The dead man gripped a" | | 1 | "Detective Constable Ray Okafor lifted" | | 2 | "Quinn crouched at the edge" | | 3 | "The disused platform had been" | | 4 | "A single work lamp hissed" | | 5 | "Its light pooled on the" | | 6 | "Ray said, reading from a" | | 7 | "Ray nudged a clear glass" | | 8 | "Something green and viscous had" | | 9 | "Quinn did not answer." | | 10 | "She studied the platform floor" | | 11 | "Ray's team had walked a" | | 12 | "She pointed with her pen," | | 13 | "Ray crouched beside her, knees" | | 14 | "Her left wrist caught the" | | 15 | "A thin pale band marked" | | 16 | "Ray leaned closer." | | 17 | "Quinn scanned the stairs" | | 18 | "Halfway up, a curl of" | | 19 | "Ray gave a short, sour" |
| | ratio | 0.829 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 35 | | matches | | | ratio | 0.029 | |
| 35.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 3 | | matches | | 0 | "A thin pale band marked the skin beneath the jaw, as though a cord had sat there for a long time and recently left." | | 1 | "The needle inside the compass trembled, its face etched with tiny protective sigils that caught the lamplight." | | 2 | "The light fell on the seam, and the frost glittered, and the seam widened by a thumb's breadth as if something on the far side had leaned its weight against the…" |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "She pointed, not touching anything" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.129 | | leniency | 0.258 | | rawRatio | 0 | | effectiveRatio | 0 | |