| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva gestured around [around]" |
| | dialogueSentences | 18 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0.2 | | effectiveRatio | 0.111 | |
| 97.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1670 | | totalAiIsmAdverbs | 1 | | 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) | |
| 49.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1670 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "shattered" | | 1 | "raced" | | 2 | "loomed" | | 3 | "silence" | | 4 | "etched" | | 5 | "velvet" | | 6 | "pulsed" | | 7 | "lurched" | | 8 | "silk" | | 9 | "footsteps" | | 10 | "echoed" | | 11 | "perfect" | | 12 | "vibrated" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 140 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 140 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 153 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1670 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.64% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1337 | | uniqueNames | 10 | | maxNameDensity | 1.05 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Harlow | 1 | | Quinn | 14 | | Kowalski | 1 | | Tube | 2 | | Veil | 3 | | Market | 3 | | Eva | 13 | | London | 1 | | Camden | 1 | | One | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Tube" | | 4 | "Eva" | | 5 | "One" |
| | places | | | globalScore | 0.976 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared under the light, each droplet formed perfect circles rather than streaks" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.599 | | wordCount | 1670 | | matches | | 0 | "not at the body or the sigils but towards a black curtain further down the platform" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 153 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 34.79 | | std | 27.87 | | cv | 0.801 | | sampleLengths | | 0 | 16 | | 1 | 69 | | 2 | 22 | | 3 | 17 | | 4 | 48 | | 5 | 12 | | 6 | 35 | | 7 | 31 | | 8 | 76 | | 9 | 53 | | 10 | 5 | | 11 | 4 | | 12 | 60 | | 13 | 53 | | 14 | 4 | | 15 | 35 | | 16 | 122 | | 17 | 27 | | 18 | 36 | | 19 | 39 | | 20 | 26 | | 21 | 7 | | 22 | 26 | | 23 | 50 | | 24 | 32 | | 25 | 3 | | 26 | 22 | | 27 | 48 | | 28 | 42 | | 29 | 30 | | 30 | 18 | | 31 | 14 | | 32 | 23 | | 33 | 64 | | 34 | 55 | | 35 | 13 | | 36 | 31 | | 37 | 6 | | 38 | 39 | | 39 | 127 | | 40 | 9 | | 41 | 3 | | 42 | 93 | | 43 | 12 | | 44 | 42 | | 45 | 42 | | 46 | 19 | | 47 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 140 | | matches | | 0 | "been paid" | | 1 | "got invited" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 231 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 153 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1339 | | adjectiveStacks | 2 | | stackExamples | | 0 | "faint blue under her" | | 1 | "Solid, solid, hollow middle." |
| | adverbCount | 43 | | adverbRatio | 0.03211351755041075 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005227781926811053 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 153 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 153 | | mean | 10.92 | | std | 7.89 | | cv | 0.723 | | sampleLengths | | 0 | 16 | | 1 | 2 | | 2 | 16 | | 3 | 16 | | 4 | 9 | | 5 | 7 | | 6 | 5 | | 7 | 14 | | 8 | 22 | | 9 | 4 | | 10 | 13 | | 11 | 10 | | 12 | 4 | | 13 | 13 | | 14 | 11 | | 15 | 10 | | 16 | 12 | | 17 | 20 | | 18 | 15 | | 19 | 31 | | 20 | 2 | | 21 | 10 | | 22 | 15 | | 23 | 26 | | 24 | 7 | | 25 | 4 | | 26 | 12 | | 27 | 3 | | 28 | 12 | | 29 | 6 | | 30 | 6 | | 31 | 26 | | 32 | 5 | | 33 | 4 | | 34 | 40 | | 35 | 20 | | 36 | 7 | | 37 | 9 | | 38 | 19 | | 39 | 2 | | 40 | 1 | | 41 | 15 | | 42 | 4 | | 43 | 12 | | 44 | 23 | | 45 | 6 | | 46 | 17 | | 47 | 17 | | 48 | 7 | | 49 | 2 |
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| 86.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5294117647058824 | | totalSentences | 153 | | uniqueOpeners | 81 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 127 | | matches | | 0 | "Instead it stood empty." | | 1 | "Only the drip of distant" | | 2 | "Then the compass needle lurched" | | 3 | "Then the wall map bled." |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 127 | | matches | | 0 | "It puddled instead in neat" | | 1 | "His wristwatch still ran." | | 2 | "She checked her own worn" | | 3 | "She pointed at the chalk" | | 4 | "She knelt again." | | 5 | "Its face etched with protective" | | 6 | "She pocketed a bone token" | | 7 | "Her torch beam swept the" | | 8 | "She moved on." | | 9 | "They left or someone cleared" | | 10 | "She followed it straight to" | | 11 | "She rapped knuckles left to" | | 12 | "She turned the dead man's" | | 13 | "She pressed palms flat to" | | 14 | "She drove her shoulder against" | | 15 | "They formed an arrow." | | 16 | "Her satchel hung open." | | 17 | "Its eyes cracked open despite" |
| | ratio | 0.142 | |
| 78.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 127 | | matches | | 0 | "The vial shattered under Harlow" | | 1 | "The dead man's eyes stared" | | 2 | "Something had clawed three deep" | | 3 | "The blood should have arced." | | 4 | "It puddled instead in neat" | | 5 | "Eva Kowalski tucked a strand" | | 6 | "Quinn lifted the dead man's" | | 7 | "His wristwatch still ran." | | 8 | "The leather strap matched the" | | 9 | "She checked her own worn" | | 10 | "Eva's freckled face pulled tight" | | 11 | "She pointed at the chalk" | | 12 | "Military precision guided her steps" | | 13 | "The abandoned Tube station archways" | | 14 | "Stalls crowded every platform edge," | | 15 | "The market should throng at" | | 16 | "She knelt again." | | 17 | "A small brass compass sat" | | 18 | "Patina of verdigris greened the" | | 19 | "Its face etched with protective" |
| | ratio | 0.764 | |
| 39.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 127 | | matches | | 0 | "though, got invited deeper." |
| | ratio | 0.008 | |
| 55.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 7 | | matches | | 0 | "It puddled instead in neat concentric circles that glowed faint blue under her torch." | | 1 | "Stalls crowded every platform edge, draped in black cloth that hung heavy with commercial whispers of garnet bottles, dried hearts on strings and carved bone di…" | | 2 | "But the compass needle buried left against the casing as if magnetised to the rear brick wall." | | 3 | "Blade clean save for a molecule of possible DNA that doomed any early conclusion." | | 4 | "The air carried the chemical tang of old electrical fires long dead and the faint ozone of residual magic that clung like cigarette smoke." | | 5 | "Inside a small chamber waited, soft lit by residual witch light orbs that floated at chest height and cast no shadow." | | 6 | "One hand rested inside holding something that glowed pale green and cast sick light across her freckled cheek." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "Eva continued (continue)" |
| | dialogueSentences | 18 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.333 | | effectiveRatio | 0.111 | |