| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said finally [finally]" |
| | dialogueSentences | 44 | | tagDensity | 0.205 | | leniency | 0.409 | | rawRatio | 0.111 | | effectiveRatio | 0.045 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1617 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 69.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1617 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "mosaic" | | 1 | "sense of" | | 2 | "determined" | | 3 | "perfect" | | 4 | "stomach" | | 5 | "standard" | | 6 | "grave" |
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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 | 93 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 74 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1628 | | 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 | 21 | | wordCount | 901 | | uniqueNames | 8 | | maxNameDensity | 1 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Harlow | 1 | | Quinn | 9 | | Victorian | 1 | | Brandt | 5 | | Soot | 1 | | Dust | 1 | | Morris | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Brandt" | | 3 | "Soot" | | 4 | "Dust" | | 5 | "Morris" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 68.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like bone, pale and polished, carv" | | 1 | "quite" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.614 | | wordCount | 1628 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 30.72 | | std | 25.24 | | cv | 0.822 | | sampleLengths | | 0 | 76 | | 1 | 10 | | 2 | 4 | | 3 | 28 | | 4 | 63 | | 5 | 50 | | 6 | 47 | | 7 | 23 | | 8 | 15 | | 9 | 5 | | 10 | 35 | | 11 | 36 | | 12 | 6 | | 13 | 20 | | 14 | 45 | | 15 | 10 | | 16 | 15 | | 17 | 11 | | 18 | 53 | | 19 | 4 | | 20 | 4 | | 21 | 69 | | 22 | 39 | | 23 | 69 | | 24 | 3 | | 25 | 13 | | 26 | 54 | | 27 | 17 | | 28 | 70 | | 29 | 3 | | 30 | 7 | | 31 | 82 | | 32 | 3 | | 33 | 38 | | 34 | 5 | | 35 | 25 | | 36 | 68 | | 37 | 23 | | 38 | 8 | | 39 | 14 | | 40 | 44 | | 41 | 74 | | 42 | 22 | | 43 | 8 | | 44 | 7 | | 45 | 82 | | 46 | 15 | | 47 | 7 | | 48 | 71 | | 49 | 2 |
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| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 93 | | matches | | 0 | "been sealed" | | 1 | "been swept " | | 2 | "was grown " |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 149 | | matches | | |
| 8.93% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 128 | | ratio | 0.047 | | matches | | 0 | "Her torch beam caught the tilework — Victorian green, black with damp — and the bored face of the uniform posted at the bottom." | | 1 | "The air smelled of wet rust and something underneath it — scorched sugar, burnt hair." | | 2 | "The tiles within the innermost ring were newer than the rest — she could see it in the grout, pale where the outer rings' had gone black." | | 3 | "Dust lay thick as felt everywhere except inside the rings, where it had been swept — no, not swept." | | 4 | "Every surface in the station ran with damp — the walls wept, the rails sweated." | | 5 | "It was grown — the grain of the bone itself, coaxed into the pattern." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 846 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.013002364066193853 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004728132387706856 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 12.72 | | std | 12.41 | | cv | 0.976 | | sampleLengths | | 0 | 32 | | 1 | 20 | | 2 | 24 | | 3 | 10 | | 4 | 4 | | 5 | 28 | | 6 | 8 | | 7 | 8 | | 8 | 17 | | 9 | 7 | | 10 | 1 | | 11 | 15 | | 12 | 7 | | 13 | 11 | | 14 | 30 | | 15 | 3 | | 16 | 6 | | 17 | 5 | | 18 | 6 | | 19 | 25 | | 20 | 4 | | 21 | 7 | | 22 | 14 | | 23 | 9 | | 24 | 15 | | 25 | 5 | | 26 | 35 | | 27 | 5 | | 28 | 7 | | 29 | 3 | | 30 | 16 | | 31 | 5 | | 32 | 6 | | 33 | 20 | | 34 | 25 | | 35 | 8 | | 36 | 4 | | 37 | 8 | | 38 | 10 | | 39 | 15 | | 40 | 11 | | 41 | 12 | | 42 | 9 | | 43 | 27 | | 44 | 4 | | 45 | 1 | | 46 | 4 | | 47 | 4 | | 48 | 20 | | 49 | 13 |
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| 82.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.515625 | | totalSentences | 128 | | uniqueOpeners | 66 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 86 | | matches | | 0 | "Then she pocketed the torch" | | 1 | "Even the SOCOs looked up." |
| | ratio | 0.023 | |
| 94.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 86 | | matches | | 0 | "Her torch beam caught the" | | 1 | "She counted her paces out" | | 2 | "Her watch ticked loud against" | | 3 | "He sat propped against a" | | 4 | "His eyes were open." | | 5 | "She crouched beside the body." | | 6 | "She turned the wrist." | | 7 | "She let the hand rest" | | 8 | "She rose and walked the" | | 9 | "She crouched and rubbed one" | | 10 | "She swept the torch along" | | 11 | "She moved to the body" | | 12 | "His shoulders were dry." | | 13 | "His hair was dry." | | 14 | "She leaned in close and" | | 15 | "She'd turned them out onto" | | 16 | "It was warm." | | 17 | "She told herself that was" | | 18 | "It was grown — the" | | 19 | "He ambled over." |
| | ratio | 0.314 | |
| 58.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 86 | | matches | | 0 | "The stairs down to the" | | 1 | "Detective Harlow Quinn ducked under" | | 2 | "Her torch beam caught the" | | 3 | "Quinn clicked her tongue and" | | 4 | "The tunnel swallowed the station's" | | 5 | "Torchlight ahead, white and clinical," | | 6 | "She counted her paces out" | | 7 | "The air smelled of wet" | | 8 | "Her watch ticked loud against" | | 9 | "The platform had been a" | | 10 | "Someone in the last century" | | 11 | "Quinn skirted them." | | 12 | "The body lay at the" | | 13 | "A man, mid-fifties, well dressed." | | 14 | "He sat propped against a" | | 15 | "His eyes were open." | | 16 | "She crouched beside the body." | | 17 | "The dead man's face held" | | 18 | "That was wrong." | | 19 | "People who died of fright" |
| | ratio | 0.802 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "Someone in the last century had laid a mosaic floor between the platform edge and the wall: concentric rings of coloured tile, geometric patterns that hurt to l…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.023 | | leniency | 0.045 | | rawRatio | 0 | | effectiveRatio | 0 | |