| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.28 | | leniency | 0.56 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 81.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1071 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "lazily" | | 3 | "barely above a whisper" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1071 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "chill" | | 1 | "clandestine" | | 2 | "scanned" | | 3 | "echoing" | | 4 | "gloom" | | 5 | "weight" | | 6 | "whisper" | | 7 | "etched" | | 8 | "familiar" | | 9 | "tracing" | | 10 | "intricate" | | 11 | "racing" | | 12 | "silence" | | 13 | "encounter" | | 14 | "tension" | | 15 | "resolve" | | 16 | "dance" | | 17 | "gleaming" | | 18 | "determined" | | 19 | "unravel" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 2 |
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| | highlights | | 0 | "The air was thick with" | | 1 | "the air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 62 | | matches | (empty) | |
| 73.73% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1065 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 1 | | matches | | 0 | "Finally, as they stood once more in the center of the Market, Eva spoke, her voice low and urgent." |
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| 22.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 825 | | uniqueNames | 9 | | maxNameDensity | 2.55 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 21 | | Quinn | 1 | | Tube | 1 | | Veil | 3 | | Market | 5 | | Eva | 13 | | Kowalski | 1 | | Compass | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Kowalski" | | 4 | "Morris" |
| | places | | 0 | "Veil" | | 1 | "Market" | | 2 | "Compass" |
| | globalScore | 0.227 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "chill that seemed to seep from the very walls, and took in the scene before her" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.939 | | wordCount | 1065 | | matches | | 0 | "Not much, but enough to suggest a struggle" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 34.35 | | std | 18.34 | | cv | 0.534 | | sampleLengths | | 0 | 76 | | 1 | 77 | | 2 | 68 | | 3 | 10 | | 4 | 43 | | 5 | 62 | | 6 | 21 | | 7 | 43 | | 8 | 19 | | 9 | 20 | | 10 | 33 | | 11 | 19 | | 12 | 26 | | 13 | 26 | | 14 | 52 | | 15 | 23 | | 16 | 12 | | 17 | 41 | | 18 | 16 | | 19 | 25 | | 20 | 28 | | 21 | 24 | | 22 | 40 | | 23 | 39 | | 24 | 51 | | 25 | 23 | | 26 | 44 | | 27 | 17 | | 28 | 12 | | 29 | 25 | | 30 | 50 |
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| 88.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 62 | | matches | | 0 | "been altered" | | 1 | "was meant" | | 2 | "was determined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 142 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 80 | | ratio | 0.063 | | matches | | 0 | "The air was thick with the scent of mildew and something else—something metallic and sharp that set her instincts on edge." | | 1 | "Harlow's sharp brown eyes scanned the area, noting the signs of a hasty evacuation—overturned crates, scattered papers, and a lone shoe lying forlornly in the middle of the walkway." | | 2 | "Leaving it behind made no sense—unless it was meant to be found." | | 3 | "The altered sigils, the abandoned compass, the traces of blood—it all pointed to something larger, something that defied easy explanation." | | 4 | "She had lost one partner to the unknown; she wouldn't lose another friend." |
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| 99.58% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 829 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.026537997587454766 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.020506634499396863 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 13.31 | | std | 6.12 | | cv | 0.46 | | sampleLengths | | 0 | 29 | | 1 | 21 | | 2 | 26 | | 3 | 13 | | 4 | 16 | | 5 | 19 | | 6 | 29 | | 7 | 11 | | 8 | 20 | | 9 | 19 | | 10 | 18 | | 11 | 6 | | 12 | 4 | | 13 | 9 | | 14 | 34 | | 15 | 16 | | 16 | 10 | | 17 | 17 | | 18 | 19 | | 19 | 11 | | 20 | 10 | | 21 | 17 | | 22 | 11 | | 23 | 15 | | 24 | 11 | | 25 | 8 | | 26 | 5 | | 27 | 15 | | 28 | 5 | | 29 | 16 | | 30 | 12 | | 31 | 11 | | 32 | 8 | | 33 | 8 | | 34 | 18 | | 35 | 14 | | 36 | 10 | | 37 | 2 | | 38 | 10 | | 39 | 18 | | 40 | 9 | | 41 | 15 | | 42 | 13 | | 43 | 10 | | 44 | 5 | | 45 | 7 | | 46 | 10 | | 47 | 20 | | 48 | 11 | | 49 | 16 |
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| 57.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.35 | | totalSentences | 80 | | uniqueOpeners | 28 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 62 | | matches | | 0 | "Finally, as they stood once" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 62 | | matches | | 0 | "She paused, adjusting the collar" | | 1 | "She gestured for Harlow to" | | 2 | "They passed through a narrow" | | 3 | "They were familiar, protective symbols" | | 4 | "She pushed them aside, focusing" | | 5 | "They retraced their steps, the" | | 6 | "She glanced at Eva, noting" | | 7 | "She had lost one partner" | | 8 | "They spent the next hour" | | 9 | "She kept her hand close" | | 10 | "She held out a small" | | 11 | "It was a bone token," |
| | ratio | 0.194 | |
| 48.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 62 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "The air was thick with" | | 2 | "She paused, adjusting the collar" | | 3 | "The Veil Market, usually a" | | 4 | "Stalls that once brimmed with" | | 5 | "The only movement came from" | | 6 | "Harlow's sharp brown eyes scanned" | | 7 | "a voice called out, echoing" | | 8 | "Harlow turned to see Eva" | | 9 | "Eva adjusted her round glasses," | | 10 | "The worn leather satchel slung" | | 11 | "Harlow acknowledged, her voice steady" | | 12 | "Eva hesitated, tucking a stray" | | 13 | "She gestured for Harlow to" | | 14 | "They passed through a narrow" | | 15 | "The room beyond was larger," | | 16 | "Eva explained, her voice barely" | | 17 | "Harlow crouched beside the compass," | | 18 | "They were familiar, protective symbols" | | 19 | "Harlow murmured, tracing a finger" |
| | ratio | 0.823 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 3 | | matches | | 0 | "She paused, adjusting the collar of her coat against the chill that seemed to seep from the very walls, and took in the scene before her." | | 1 | "The altered sigils, the abandoned compass, the traces of blood—it all pointed to something larger, something that defied easy explanation." | | 2 | "They spent the next hour combing through the Market, searching for any clue that might shed light on the mystery." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 3 | | matches | | 0 | "Harlow acknowledged, her voice steady" | | 1 | "Eva explained, her voice barely above a whisper" | | 2 | "Harlow concluded, her voice firm" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 6 | | fancyTags | | 0 | "a voice called out (call out)" | | 1 | "Harlow acknowledged (acknowledge)" | | 2 | "Eva explained (explain)" | | 3 | "Harlow murmured (murmur)" | | 4 | "Harlow concluded (conclude)" | | 5 | "Harlow observed (observe)" |
| | dialogueSentences | 25 | | tagDensity | 0.24 | | leniency | 0.48 | | rawRatio | 1 | | effectiveRatio | 0.48 | |