| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 53 | | tagDensity | 0.283 | | leniency | 0.566 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1535 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "deliberately" | | 3 | "really" |
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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) | |
| 54.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1535 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "silk" | | 1 | "scanned" | | 2 | "pulse" | | 3 | "wavered" | | 4 | "echoed" | | 5 | "etched" | | 6 | "traced" | | 7 | "perfect" | | 8 | "chaotic" | | 9 | "silence" | | 10 | "weight" | | 11 | "unreadable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 85 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 123 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1524 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 793 | | uniqueNames | 12 | | maxNameDensity | 3.15 | | worstName | "Quinn" | | maxWindowNameDensity | 7 | | worstWindowName | "Eva" | | discoveredNames | | Tube | 1 | | Camden | 2 | | Harlow | 1 | | Quinn | 25 | | Veil | 3 | | Market | 1 | | Morris | 1 | | Stall | 1 | | Seven | 1 | | Kowalski | 1 | | Compass | 2 | | Eva | 24 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Market" | | 4 | "Morris" | | 5 | "Kowalski" | | 6 | "Compass" | | 7 | "Eva" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 68.77% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.312 | | wordCount | 1524 | | matches | | 0 | "not magic, but manipulation" | | 1 | "Not a victim of the supernatural, but a victim of someone who knew exactly how to make the impossi" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 123 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 29.31 | | std | 22.57 | | cv | 0.77 | | sampleLengths | | 0 | 107 | | 1 | 55 | | 2 | 21 | | 3 | 5 | | 4 | 45 | | 5 | 1 | | 6 | 7 | | 7 | 17 | | 8 | 36 | | 9 | 53 | | 10 | 6 | | 11 | 41 | | 12 | 14 | | 13 | 6 | | 14 | 45 | | 15 | 28 | | 16 | 3 | | 17 | 3 | | 18 | 15 | | 19 | 24 | | 20 | 21 | | 21 | 49 | | 22 | 7 | | 23 | 9 | | 24 | 25 | | 25 | 39 | | 26 | 11 | | 27 | 52 | | 28 | 12 | | 29 | 41 | | 30 | 16 | | 31 | 36 | | 32 | 5 | | 33 | 76 | | 34 | 16 | | 35 | 29 | | 36 | 15 | | 37 | 46 | | 38 | 18 | | 39 | 62 | | 40 | 27 | | 41 | 53 | | 42 | 6 | | 43 | 63 | | 44 | 8 | | 45 | 39 | | 46 | 22 | | 47 | 39 | | 48 | 12 | | 49 | 44 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 150 | | matches | (empty) | |
| 26.71% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 123 | | ratio | 0.041 | | matches | | 0 | "Quinn clutched the bone token that had granted her entry; its edges felt warm, like holding a tooth pulled from something still breathing." | | 1 | "A patina of verdigris coated the metal, yet the greenish-blue oxidation looked wrong—too even, too uniform, like paint applied by someone who wanted age without time." | | 2 | "But here—nothing." | | 3 | "She didn't pick it up—she knew better than to touch attuned objects without protection—but she leaned close." | | 4 | "She had seen what others missed—not magic, but manipulation." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 802 | | adjectiveStacks | 1 | | stackExamples | | 0 | "against cracked ceramic tiles" |
| | adverbCount | 27 | | adverbRatio | 0.03366583541147132 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012468827930174564 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 123 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 123 | | mean | 12.39 | | std | 11.06 | | cv | 0.892 | | sampleLengths | | 0 | 9 | | 1 | 22 | | 2 | 25 | | 3 | 28 | | 4 | 23 | | 5 | 15 | | 6 | 8 | | 7 | 24 | | 8 | 4 | | 9 | 4 | | 10 | 21 | | 11 | 5 | | 12 | 8 | | 13 | 7 | | 14 | 15 | | 15 | 15 | | 16 | 1 | | 17 | 7 | | 18 | 12 | | 19 | 5 | | 20 | 12 | | 21 | 24 | | 22 | 2 | | 23 | 13 | | 24 | 5 | | 25 | 7 | | 26 | 26 | | 27 | 6 | | 28 | 8 | | 29 | 33 | | 30 | 4 | | 31 | 5 | | 32 | 5 | | 33 | 4 | | 34 | 2 | | 35 | 2 | | 36 | 4 | | 37 | 11 | | 38 | 28 | | 39 | 2 | | 40 | 11 | | 41 | 13 | | 42 | 2 | | 43 | 3 | | 44 | 3 | | 45 | 9 | | 46 | 6 | | 47 | 13 | | 48 | 11 | | 49 | 7 |
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| 46.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3008130081300813 | | totalSentences | 123 | | uniqueOpeners | 37 | |
| 93.90% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 71 | | matches | | 0 | "Instead, the platform hosted stalls" | | 1 | "Everywhere else, moisture beaded on" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 71 | | matches | | 0 | "She was forty-one, with closely" | | 1 | "Her shoulders stayed square." | | 2 | "Her bearing never wavered." | | 3 | "She wore her worn leather" | | 4 | "She tucked a lock behind" | | 5 | "She didn't touch the body." | | 6 | "Her sharp jaw tightened." | | 7 | "She circled the stall, her" | | 8 | "Her curly hair fell forward." | | 9 | "Her military bearing remained rigid." | | 10 | "She didn't pick it up—she" | | 11 | "Her sharp jaw was set," | | 12 | "She hugged her books to" | | 13 | "She had seen what others" |
| | ratio | 0.197 | |
| 9.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 71 | | matches | | 0 | "The abandoned Tube station beneath" | | 1 | "Detective Harlow Quinn stepped off" | | 2 | "The Veil Market had settled" | | 3 | "Quinn clutched the bone token" | | 4 | "She was forty-one, with closely" | | 5 | "Brown eyes scanned the darkness" | | 6 | "The worn leather watch on" | | 7 | "Her shoulders stayed square." | | 8 | "Her bearing never wavered." | | 9 | "The body lay near Stall" | | 10 | "Eva Kowalski was already there." | | 11 | "She wore her worn leather" | | 12 | "She tucked a lock behind" | | 13 | "Eva's voice echoed against the" | | 14 | "Quinn nodded, her boots stopping" | | 15 | "Eva gestured with a gloved" | | 16 | "The brass casing of the" | | 17 | "The needle pointed downward, fixed" | | 18 | "A patina of verdigris coated" | | 19 | "Eva pushed her glasses up" |
| | ratio | 0.901 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 6 | | matches | | 0 | "Detective Harlow Quinn stepped off the rusted ladder, her boots clicking against cracked ceramic tiles that should have carried trains decades ago." | | 1 | "Instead, the platform hosted stalls draped in black silk, jars of iridescent liquid, and the smell of burnt sage that clung to the damp air." | | 2 | "Quinn clutched the bone token that had granted her entry; its edges felt warm, like holding a tooth pulled from something still breathing." | | 3 | "The body lay near Stall Seven, a figure crumpled beside overturned containers of purple liquid that glowed faintly in the dark." | | 4 | "A patina of verdigris coated the metal, yet the greenish-blue oxidation looked wrong—too even, too uniform, like paint applied by someone who wanted age without…" | | 5 | "Not a victim of the supernatural, but a victim of someone who knew exactly how to make the impossible look like the explanation." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn's voice stayed, precise" |
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| 93.40% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn interrupted (interrupt)" | | 1 | "Quinn corrected (correct)" | | 2 | "Quinn interrupted (interrupt)" |
| | dialogueSentences | 53 | | tagDensity | 0.151 | | leniency | 0.302 | | rawRatio | 0.375 | | effectiveRatio | 0.113 | |