| 91.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "His accent curled around [around]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 37 | | tagDensity | 0.486 | | leniency | 0.973 | | rawRatio | 0.111 | | effectiveRatio | 0.108 | |
| 83.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1800 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "lightly" | | 1 | "deliberately" | | 2 | "carefully" | | 3 | "utterly" | | 4 | "slowly" |
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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) | |
| 66.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1800 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "measured" | | 2 | "tension" | | 3 | "traced" | | 4 | "pulse" | | 5 | "could feel" | | 6 | "silence" | | 7 | "charm" | | 8 | "flicker" | | 9 | "familiar" |
| |
| 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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1796 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1114 | | uniqueNames | 10 | | maxNameDensity | 0.9 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 8 | | Moreau | 1 | | London | 1 | | Ptolemy | 2 | | Eva | 1 | | Brick | 1 | | Lane | 1 | | Cardiff | 1 | | English | 1 | | Aurora | 10 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Eva" | | 4 | "Aurora" |
| | places | | 0 | "London" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | 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 | 1796 | | matches | (empty) | |
| 92.59% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 90 | | matches | | 0 | "enough that she" | | 1 | "chose that moment" |
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| 70.36% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 61.93 | | std | 24.54 | | cv | 0.396 | | sampleLengths | | 0 | 90 | | 1 | 6 | | 2 | 33 | | 3 | 84 | | 4 | 48 | | 5 | 5 | | 6 | 90 | | 7 | 64 | | 8 | 39 | | 9 | 85 | | 10 | 66 | | 11 | 74 | | 12 | 70 | | 13 | 62 | | 14 | 71 | | 15 | 99 | | 16 | 68 | | 17 | 72 | | 18 | 68 | | 19 | 88 | | 20 | 74 | | 21 | 98 | | 22 | 47 | | 23 | 39 | | 24 | 69 | | 25 | 58 | | 26 | 51 | | 27 | 17 | | 28 | 61 |
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| 90.44% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 71 | | matches | | 0 | "been tailored" | | 1 | "was held" | | 2 | "was finished" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 199 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 3 | | flaggedSentences | 7 | | totalSentences | 90 | | ratio | 0.078 | | matches | | 0 | "Through the narrow security chain she met his eyes—Lucien Moreau’s mismatched stare, one bright as fire under London dusk, the other swallowed black." | | 1 | "The tabby cat, Ptolemy, had already materialised at her ankle and begun threading between her calves; she nudged him away with her socked foot." | | 2 | "She slid the chain free anyway—because the longer he stood there speaking sparingly and looking at her the way he did, the more the neighbours would notice the strange half-demon with the expensive suit." | | 3 | "The flat door opened inward with a low scrape; she stepped back into the cramped chaos of stacked books, curling scrolls, and Eva’s half-drunk mugs left on every surface." | | 4 | "“Small detail overlooked between half-demon politics and academic archives.” Aurora reached into the cupboard, pulled down two chipped mugs—hers with the map of Cardiff, his the one she had kept anyway because he had once liked the way the glaze felt against his knuckles." | | 5 | "She watched the play of light across his face—the amber eye catching the cheap overhead bulb, the black one swallowing it whole." | | 6 | "The platinum hair remained immaculate despite the wind outside; his posture never slackened against the counter’s edge." |
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| 93.35% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1129 | | adjectiveStacks | 1 | | stackExamples | | 0 | "precarious, half-lit territory" |
| | adverbCount | 46 | | adverbRatio | 0.04074402125775022 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010628875110717449 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 19.96 | | std | 12 | | cv | 0.601 | | sampleLengths | | 0 | 19 | | 1 | 23 | | 2 | 27 | | 3 | 21 | | 4 | 6 | | 5 | 22 | | 6 | 11 | | 7 | 18 | | 8 | 39 | | 9 | 13 | | 10 | 14 | | 11 | 5 | | 12 | 24 | | 13 | 19 | | 14 | 5 | | 15 | 9 | | 16 | 18 | | 17 | 34 | | 18 | 29 | | 19 | 14 | | 20 | 32 | | 21 | 18 | | 22 | 18 | | 23 | 8 | | 24 | 13 | | 25 | 13 | | 26 | 39 | | 27 | 13 | | 28 | 20 | | 29 | 15 | | 30 | 51 | | 31 | 44 | | 32 | 13 | | 33 | 17 | | 34 | 5 | | 35 | 18 | | 36 | 18 | | 37 | 14 | | 38 | 15 | | 39 | 15 | | 40 | 24 | | 41 | 23 | | 42 | 27 | | 43 | 44 | | 44 | 22 | | 45 | 17 | | 46 | 25 | | 47 | 35 | | 48 | 11 | | 49 | 47 |
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| 61.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.37777777777777777 | | totalSentences | 90 | | uniqueOpeners | 34 | |
| 51.28% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 65 | | matches | | 0 | "Instead he set the mug" |
| | ratio | 0.015 | |
| 23.08% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 65 | | matches | | 0 | "He had not changed the" | | 1 | "She did not undo the" | | 2 | "she said, voice low, carrying" | | 3 | "His accent curled around each" | | 4 | "He kept both hands visible," | | 5 | "She knew the blade hidden" | | 6 | "She flinched, then hated herself" | | 7 | "She slid the chain free" | | 8 | "He surveyed the room the" | | 9 | "His cane tapped twice against" | | 10 | "he said, eyes flicking to" | | 11 | "She rubbed it the way" | | 12 | "She poured hot water from" | | 13 | "He accepted the mug when" | | 14 | "She hesitated over the shape" | | 15 | "He sipped the tea without" | | 16 | "She watched the play of" | | 17 | "She found herself remembering how" | | 18 | "she said quietly" | | 19 | "He stepped around the island." |
| | ratio | 0.492 | |
| 6.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 65 | | matches | | 0 | "Aurora stood frozen with the" | | 1 | "He had not changed the" | | 2 | "The scent of his cologne" | | 3 | "She did not undo the" | | 4 | "she said, voice low, carrying" | | 5 | "Lucien inclined his head once," | | 6 | "His accent curled around each" | | 7 | "He kept both hands visible," | | 8 | "She knew the blade hidden" | | 9 | "The tabby cat, Ptolemy, had" | | 10 | "The name landed between them" | | 11 | "She flinched, then hated herself" | | 12 | "She slid the chain free" | | 13 | "The flat door opened inward" | | 14 | "Lucien entered without being invited," | | 15 | "He surveyed the room the" | | 16 | "His cane tapped twice against" | | 17 | "he said, eyes flicking to" | | 18 | "A smear of sweet-and-sour sauce" | | 19 | "Aurora crossed to the kitchenette," |
| | ratio | 0.908 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 97.26% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 3 | | matches | | 0 | "He had not changed the way he filled a doorway, broad shoulders filling the jacket of a charcoal suit that had clearly been tailored for him alone." | | 1 | "He surveyed the room the way he always surveyed the city: cataloguing exits, angles, and the single window overlooking Brick Lane traffic that would break outwa…" | | 2 | "Instead he set the mug down carefully, avoiding the stack of scrolls that threatened to avalanche across the island." |
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| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora finished, the words surprising even herself" |
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| 68.92% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "he agreed (agree)" | | 1 | "Lucien continued (continue)" | | 2 | "she murmured (murmur)" |
| | dialogueSentences | 37 | | tagDensity | 0.243 | | leniency | 0.486 | | rawRatio | 0.333 | | effectiveRatio | 0.162 | |