| 33.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "she observed dryly [dryly]" |
| | dialogueSentences | 10 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.167 | | effectiveRatio | 0.167 | |
| 95.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1022 | | 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) | |
| 16.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1022 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "chaotic" | | 1 | "etched" | | 2 | "flickered" | | 3 | "weight" | | 4 | "dance" | | 5 | "footsteps" | | 6 | "echoed" | | 7 | "stark" | | 8 | "raced" | | 9 | "familiar" | | 10 | "newfound" | | 11 | "sense of" | | 12 | "determined" | | 13 | "scanned" | | 14 | "pawn" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
| | 2 | | label | "couldn't help but" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "The air was thick with" | | 2 | "couldn't help but feel" |
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| 98.54% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 63 | | matches | | 0 | "d in disbelief" | | 1 | "d with fear" |
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| 74.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 63 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 67 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1024 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.96% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 897 | | uniqueNames | 12 | | maxNameDensity | 1.56 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 14 | | Quinn | 2 | | Tube | 1 | | Morris | 2 | | Sergeant | 1 | | Alistair | 1 | | Crane | 6 | | Veil | 5 | | Market | 3 | | Kowalski | 1 | | Compass | 2 | | Shade | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Sergeant" | | 4 | "Alistair" | | 5 | "Crane" | | 6 | "Kowalski" | | 7 | "Compass" |
| | places | | | globalScore | 0.72 | | windowScore | 0.833 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 2 | | matches | | 0 | "symbols that seemed to writhe in the dim glow of the police lights, a language that was decidedly not of this world" | | 1 | "as if confirming her suspicions" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1024 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 59.59% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 42.67 | | std | 15.3 | | cv | 0.359 | | sampleLengths | | 0 | 60 | | 1 | 67 | | 2 | 45 | | 3 | 56 | | 4 | 34 | | 5 | 36 | | 6 | 77 | | 7 | 43 | | 8 | 17 | | 9 | 55 | | 10 | 65 | | 11 | 41 | | 12 | 39 | | 13 | 34 | | 14 | 40 | | 15 | 18 | | 16 | 15 | | 17 | 56 | | 18 | 44 | | 19 | 40 | | 20 | 39 | | 21 | 30 | | 22 | 40 | | 23 | 33 |
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| 94.12% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 63 | | matches | | 0 | "were scrawled" | | 1 | "been drawn" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 130 | | matches | | 0 | "was questioning" | | 1 | "were falling" | | 2 | "were wielding" | | 3 | "wasn't just using" | | 4 | "was haggling" |
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| 14.93% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 67 | | ratio | 0.045 | | matches | | 0 | "She flipped through the tome, her eyes catching on a sketch of a familiar figure — a Shade artisan known for crafting objects of great power." | | 1 | "The killer wasn't just using magic; they were wielding it with a skill that rivaled the most powerful practitioners she had encountered." | | 2 | "And then she saw him — a man with the telltale signs of a Shade, his aura flickering like a faulty light bulb." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 897 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.023411371237458192 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007803790412486065 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 67 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 67 | | mean | 15.28 | | std | 6.26 | | cv | 0.41 | | sampleLengths | | 0 | 20 | | 1 | 20 | | 2 | 20 | | 3 | 9 | | 4 | 14 | | 5 | 27 | | 6 | 17 | | 7 | 13 | | 8 | 32 | | 9 | 22 | | 10 | 13 | | 11 | 21 | | 12 | 11 | | 13 | 23 | | 14 | 6 | | 15 | 7 | | 16 | 7 | | 17 | 16 | | 18 | 21 | | 19 | 24 | | 20 | 20 | | 21 | 12 | | 22 | 15 | | 23 | 20 | | 24 | 8 | | 25 | 17 | | 26 | 9 | | 27 | 10 | | 28 | 20 | | 29 | 16 | | 30 | 13 | | 31 | 12 | | 32 | 18 | | 33 | 22 | | 34 | 9 | | 35 | 4 | | 36 | 11 | | 37 | 13 | | 38 | 4 | | 39 | 26 | | 40 | 13 | | 41 | 12 | | 42 | 14 | | 43 | 8 | | 44 | 13 | | 45 | 27 | | 46 | 5 | | 47 | 13 | | 48 | 7 | | 49 | 8 |
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| 57.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.373134328358209 | | totalSentences | 67 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 97.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 62 | | matches | | 0 | "It was the metallic tang" | | 1 | "Her colleague, Sergeant Alistair Crane," | | 2 | "she observed dryly" | | 3 | "Her brown eyes flickered to" | | 4 | "She glanced at her worn" | | 5 | "she said, her voice carrying" | | 6 | "They seemed to dance at" | | 7 | "She reached into her pocket," | | 8 | "She stepped toward the tunnel," | | 9 | "She pressed her hand against" | | 10 | "It was orderly, almost sterile," | | 11 | "They were sacrifices, each one" | | 12 | "She flipped through the tome," | | 13 | "She interrupted him, holding up" | | 14 | "she declared, her voice cutting" | | 15 | "He was haggling over a" | | 16 | "she stated, her hand resting" | | 17 | "He was just a pawn," | | 18 | "She had seen what others" |
| | ratio | 0.306 | |
| 64.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 62 | | matches | | 0 | "Detective Harlow Quinn ducked under" | | 1 | "The air was thick with" | | 2 | "It was the metallic tang" | | 3 | "The crime scene was an" | | 4 | "Chalk outlines marked the positions" | | 5 | "The walls were scrawled with" | | 6 | "Her colleague, Sergeant Alistair Crane," | | 7 | "Harlow's sharp jaw tightened as" | | 8 | "she observed dryly" | | 9 | "Her brown eyes flickered to" | | 10 | "Crane ran a hand through" | | 11 | "Harlow stood, brushing off her" | | 12 | "She glanced at her worn" | | 13 | "Time was a luxury they" | | 14 | "she said, her voice carrying" | | 15 | "They seemed to dance at" | | 16 | "She reached into her pocket," | | 17 | "The needle spun wildly before" | | 18 | "Eva Kowalski, a childhood friend" | | 19 | "Eva had warned her about" |
| | ratio | 0.79 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 59.80% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 5 | | matches | | 0 | "The air was thick with the scent of damp concrete and something else, something that set her teeth on edge." | | 1 | "Next to it, a leather-bound tome, its pages filled with the same arcane script that adorned the walls of the crime scene." | | 2 | "The Veil Compass in her pocket grew warm, as if confirming her suspicions." | | 3 | "The killer wasn't just using magic; they were wielding it with a skill that rivaled the most powerful practitioners she had encountered." | | 4 | "He was haggling over a stall filled with enchanted trinkets, his eyes darting nervously around the market." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "she declared, her voice cutting through the sergeant's ramblings" | | 1 | "she stated, her hand resting on the handle of her pistol" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "she observed dryly (observe)" | | 1 | "she declared (declare)" | | 2 | "she stated (state)" |
| | dialogueSentences | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.6 | | effectiveRatio | 0.6 | |