| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "he replied smoothly [smoothly]" |
| | dialogueSentences | 32 | | tagDensity | 0.563 | | leniency | 1 | | rawRatio | 0.056 | | effectiveRatio | 0.056 | |
| 84.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 994 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "truly" | | 1 | "softly" | | 2 | "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) | |
| 14.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 994 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "whisper" | | 1 | "measured" | | 2 | "velvet" | | 3 | "pulse" | | 4 | "flickered" | | 5 | "stark" | | 6 | "reminder" | | 7 | "resolve" | | 8 | "magnetic" | | 9 | "eyebrow" | | 10 | "electric" | | 11 | "tension" | | 12 | "facade" | | 13 | "weight" | | 14 | "cascading" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "the weight of his words" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 54 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 984 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 762 | | uniqueNames | 13 | | maxNameDensity | 1.84 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Lucien" | | discoveredNames | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Mandarin | 1 | | London | 1 | | Lane | 2 | | Rory | 14 | | Eva | 3 | | Lucien | 10 | | Moreau | 1 | | King | 1 | | Cross | 1 | | Brick | 2 |
| | persons | | 0 | "Empress" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "King" | | 6 | "Cross" |
| | places | | 0 | "Mandarin" | | 1 | "London" | | 2 | "Lane" | | 3 | "Brick" |
| | globalScore | 0.581 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | 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 | 984 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 76.91% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 31.74 | | std | 13.31 | | cv | 0.419 | | sampleLengths | | 0 | 65 | | 1 | 58 | | 2 | 45 | | 3 | 65 | | 4 | 29 | | 5 | 42 | | 6 | 21 | | 7 | 25 | | 8 | 33 | | 9 | 26 | | 10 | 35 | | 11 | 46 | | 12 | 11 | | 13 | 33 | | 14 | 25 | | 15 | 26 | | 16 | 24 | | 17 | 26 | | 18 | 33 | | 19 | 14 | | 20 | 24 | | 21 | 43 | | 22 | 35 | | 23 | 30 | | 24 | 38 | | 25 | 28 | | 26 | 22 | | 27 | 24 | | 28 | 26 | | 29 | 12 | | 30 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 125 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 68 | | ratio | 0.088 | | matches | | 0 | "Rory fitted the final delivery order—a krab rangoon and sesame chicken combo—into her insulated bag and pulled her black puffer coat tighter around her slender shoulders." | | 1 | "But as the hinges gave way, the room she knew so well was altered—if not by its static furnishings, then by the man standing in the middle of it." | | 2 | "His heterochromatic gaze—one amber, one black—pinned her as effectively as his languid smile." | | 3 | "She had not seen him since that last assignment—an escapade through the demon-infested underground tunnels of King’s Cross—left them both with more scars than success." | | 4 | "He stepped nearer, and she caught a whiff of his cologne—dark, woody, with a hint of something exotic." | | 5 | "There was something magnetic about Lucien that she couldn’t deny—a pull that defied reason or safety." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 324 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.027777777777777776 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.012345679012345678 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 14.47 | | std | 6.62 | | cv | 0.457 | | sampleLengths | | 0 | 26 | | 1 | 25 | | 2 | 14 | | 3 | 8 | | 4 | 31 | | 5 | 19 | | 6 | 10 | | 7 | 22 | | 8 | 13 | | 9 | 14 | | 10 | 17 | | 11 | 19 | | 12 | 15 | | 13 | 29 | | 14 | 9 | | 15 | 20 | | 16 | 13 | | 17 | 21 | | 18 | 13 | | 19 | 12 | | 20 | 17 | | 21 | 16 | | 22 | 21 | | 23 | 5 | | 24 | 10 | | 25 | 25 | | 26 | 18 | | 27 | 18 | | 28 | 10 | | 29 | 7 | | 30 | 4 | | 31 | 26 | | 32 | 7 | | 33 | 23 | | 34 | 2 | | 35 | 19 | | 36 | 7 | | 37 | 24 | | 38 | 13 | | 39 | 13 | | 40 | 3 | | 41 | 16 | | 42 | 9 | | 43 | 5 | | 44 | 4 | | 45 | 10 | | 46 | 16 | | 47 | 5 | | 48 | 3 | | 49 | 22 |
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| 78.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5 | | totalSentences | 68 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 53 | | matches | | 0 | "Certainly not after the whisper" | | 1 | "Finally, Lucien took a step" |
| | ratio | 0.038 | |
| 38.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 53 | | matches | | 0 | "She descended the narrow staircases" | | 1 | "She had been meaning to" | | 2 | "He was impeccably dressed, as" | | 3 | "His heterochromatic gaze—one amber, one" | | 4 | "she demanded, voice too sharp" | | 5 | "he replied, a faint smile" | | 6 | "She avoided his eyes, instead" | | 7 | "he said, gesturing towards the" | | 8 | "She had not seen him" | | 9 | "He stepped nearer, and she" | | 10 | "She glanced at him through" | | 11 | "he replied smoothly, the blade" | | 12 | "she whispered, memories of close" | | 13 | "She turned towards the small" | | 14 | "she muttered, pulling out two" | | 15 | "he noted, nodding toward the" | | 16 | "She handed Lucien a steaming" | | 17 | "He accepted the mug, his" | | 18 | "They stood there, an arm’s" | | 19 | "They stood overlooking Brick Lane," |
| | ratio | 0.453 | |
| 16.60% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 53 | | matches | | 0 | "Rory fitted the final delivery" | | 1 | "The Golden Empress buzzed with" | | 2 | "Rory escaped into the rainy" | | 3 | "Brick Lane awaited her, bustling" | | 4 | "The scent of turmeric and" | | 5 | "She descended the narrow staircases" | | 6 | "Rory edged towards the aging" | | 7 | "She had been meaning to" | | 8 | "The three deadbolts clunked and" | | 9 | "Rory trudged up the narrow" | | 10 | "Rory shook her keychain free" | | 11 | "The door creaked open, and" | | 12 | "He was impeccably dressed, as" | | 13 | "His heterochromatic gaze—one amber, one" | | 14 | "she demanded, voice too sharp" | | 15 | "he replied, a faint smile" | | 16 | "Rory scoffed, closing the door" | | 17 | "She avoided his eyes, instead" | | 18 | "he said, gesturing towards the" | | 19 | "Rory shot back" |
| | ratio | 0.887 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 6 | | matches | | 0 | "he replied, a faint smile touching his lips" | | 1 | "Lucien interrupted, his voice dropping to a lower, more intimate register" | | 2 | "Lucien drew, his eyes reflecting both depth and distance" | | 3 | "He accepted, his fingers grazing hers longer than necessary" | | 4 | "Lucien began, his voice barely above a whisper" | | 5 | "he replied, relief mingling with the slight curve of his lips" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 6 | | fancyTags | | 0 | "she demanded (demand)" | | 1 | "Lucien interrupted (interrupt)" | | 2 | "she whispered (whisper)" | | 3 | "she muttered (mutter)" | | 4 | "he noted (note)" | | 5 | "she conceded (concede)" |
| | dialogueSentences | 32 | | tagDensity | 0.344 | | leniency | 0.688 | | rawRatio | 0.545 | | effectiveRatio | 0.375 | |