| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 21 | | tagDensity | 0.524 | | leniency | 1 | | rawRatio | 0.091 | | effectiveRatio | 0.091 | |
| 69.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1329 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "slightly" | | 1 | "suddenly" | | 2 | "softly" | | 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) | |
| 20.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1329 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "rhythmic" | | 1 | "measured" | | 2 | "gleaming" | | 3 | "racing" | | 4 | "flicker" | | 5 | "silence" | | 6 | "otherworldly" | | 7 | "stomach" | | 8 | "tension" | | 9 | "echoing" | | 10 | "effortless" | | 11 | "charged" | | 12 | "palpable" | | 13 | "sanctuary" | | 14 | "resolve" | | 15 | "reminder" | | 16 | "fluttered" | | 17 | "tenderness" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1318 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.45% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1088 | | uniqueNames | 9 | | maxNameDensity | 1.01 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Eva | 2 | | Moreau | 1 | | East | 1 | | London | 1 | | French | 1 | | Lucien | 9 | | Aurora | 11 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Aurora" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "East" | | 3 | "London" |
| | globalScore | 0.994 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a cold shadow passing over he" |
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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 | 1318 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 89 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 37.66 | | std | 20.08 | | cv | 0.533 | | sampleLengths | | 0 | 73 | | 1 | 24 | | 2 | 36 | | 3 | 52 | | 4 | 93 | | 5 | 20 | | 6 | 25 | | 7 | 38 | | 8 | 36 | | 9 | 13 | | 10 | 26 | | 11 | 50 | | 12 | 44 | | 13 | 41 | | 14 | 13 | | 15 | 21 | | 16 | 68 | | 17 | 26 | | 18 | 41 | | 19 | 7 | | 20 | 42 | | 21 | 9 | | 22 | 41 | | 23 | 57 | | 24 | 37 | | 25 | 62 | | 26 | 8 | | 27 | 57 | | 28 | 54 | | 29 | 54 | | 30 | 60 | | 31 | 21 | | 32 | 17 | | 33 | 28 | | 34 | 24 |
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| 96.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 79 | | matches | | 0 | "was slicked" | | 1 | "been stretched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 173 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 89 | | ratio | 0.09 | | matches | | 0 | "But it was his eyes that stopped her breath—one a piercing, molten amber, the other a void of absolute black." | | 1 | "Lucien’s expression remained impassive, though a flicker of something—longing, perhaps, or a deep-seated regret—crossed the amber eye." | | 2 | "Aurora could smell him—sandalwood, expensive tobacco, and the faint, metallic tang of something otherworldly that always clung to his skin." | | 3 | "It was the kind of pull that defied logic—the law student and the half-demon, the delivery girl and the fixer." | | 4 | "The wall she had built around herself—the one made of professionalism, distance, and survival—crumbled in a single heartbeat." | | 5 | "When their lips met, it wasn't a gentle reunion; it was a collision." | | 6 | "For a moment, the world outside—the curry house, the debt, the ghosts of her past—ceased to exist." | | 7 | "Aurora looked at him—really looked at him—and saw the man who had been her greatest mistake and her only true sanctuary." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1107 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 41 | | adverbRatio | 0.037037037037037035 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.018970189701897018 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 14.81 | | std | 7.13 | | cv | 0.481 | | sampleLengths | | 0 | 24 | | 1 | 32 | | 2 | 17 | | 3 | 4 | | 4 | 14 | | 5 | 6 | | 6 | 2 | | 7 | 15 | | 8 | 4 | | 9 | 15 | | 10 | 14 | | 11 | 13 | | 12 | 25 | | 13 | 29 | | 14 | 19 | | 15 | 26 | | 16 | 19 | | 17 | 20 | | 18 | 4 | | 19 | 21 | | 20 | 3 | | 21 | 5 | | 22 | 22 | | 23 | 8 | | 24 | 17 | | 25 | 19 | | 26 | 13 | | 27 | 21 | | 28 | 5 | | 29 | 8 | | 30 | 20 | | 31 | 22 | | 32 | 11 | | 33 | 5 | | 34 | 19 | | 35 | 9 | | 36 | 13 | | 37 | 8 | | 38 | 20 | | 39 | 13 | | 40 | 21 | | 41 | 17 | | 42 | 9 | | 43 | 16 | | 44 | 26 | | 45 | 13 | | 46 | 13 | | 47 | 13 | | 48 | 9 | | 49 | 19 |
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| 37.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.29213483146067415 | | totalSentences | 89 | | uniqueOpeners | 26 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 73 | | matches | | | ratio | 0.014 | |
| 22.74% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 73 | | matches | | 0 | "It wasn't the frantic rapping" | | 1 | "It was three precise, measured" | | 2 | "Her heart hammered against her" | | 3 | "She knew that knock." | | 4 | "She had spent two years" | | 5 | "She moved toward the door" | | 6 | "She reached for the first" | | 7 | "He wore a tailored charcoal" | | 8 | "His platinum blond hair was" | | 9 | "His voice was a low," | | 10 | "She didn't invite him in." | | 11 | "She simply stared, her blue" | | 12 | "he conceded, his gaze drifting" | | 13 | "It was a scent that" | | 14 | "She left the door open," | | 15 | "He paused, surveying the chaos" | | 16 | "He looked at the stacks" | | 17 | "He closed the door behind" | | 18 | "He didn't move toward her," | | 19 | "He took a single step" |
| | ratio | 0.493 | |
| 7.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 73 | | matches | | 0 | "The smell of cumin and" | | 1 | "Aurora stood in the center" | | 2 | "Ptolemy, the tabby cat, was" | | 3 | "It wasn't the frantic rapping" | | 4 | "It was three precise, measured" | | 5 | "Her heart hammered against her" | | 6 | "She knew that knock." | | 7 | "She had spent two years" | | 8 | "She moved toward the door" | | 9 | "She reached for the first" | | 10 | "Lucien Moreau stood in the" | | 11 | "He wore a tailored charcoal" | | 12 | "His platinum blond hair was" | | 13 | "His voice was a low," | | 14 | "Aurora didn't move." | | 15 | "She didn't invite him in." | | 16 | "She simply stared, her blue" | | 17 | "Lucien’s expression remained impassive, though" | | 18 | "he conceded, his gaze drifting" | | 19 | "The silence stretched between them," |
| | ratio | 0.904 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 16.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 9 | | matches | | 0 | "Aurora stood in the center of the living room, dodging a precariously balanced stack of occult scrolls and a mountain of leather-bound books that threatened to …" | | 1 | "Her heart hammered against her ribs, a sudden, violent rhythm that made her breath hitch." | | 2 | "Lucien Moreau stood in the dim light of the corridor, looking as if he had stepped directly out of a high-fashion editorial and into the grime of East London." | | 3 | "He wore a tailored charcoal suit that hugged his lean frame with surgical precision, the fabric matte and expensive." | | 4 | "It was a scent that triggered a visceral reaction in her, a mixture of safety and danger that made her stomach flip." | | 5 | "He didn't move toward her, but the distance between them felt charged, as if a live wire had been stretched tight from his chest to hers." | | 6 | "It was the kind of pull that defied logic—the law student and the half-demon, the delivery girl and the fixer." | | 7 | "Lucien reached out, his hand hovering inches from her cheek, hesitating." | | 8 | "He tasted of rain and longing, his kiss demanding and possessive, yet underscored by a tenderness that threatened to break her." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 3 | | matches | | 0 | "Lucien replied, his voice dropping an octave" | | 1 | "she whispered, the hurt finally leaking through the cracks of her voice" | | 2 | "she whispered, a ghost of a smile touching her lips" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 7 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "he conceded (concede)" | | 2 | "she snapped (snap)" | | 3 | "she whispered (whisper)" | | 4 | "she breathed (breathe)" | | 5 | "he murmured (murmur)" | | 6 | "she whispered (whisper)" |
| | dialogueSentences | 21 | | tagDensity | 0.476 | | leniency | 0.952 | | rawRatio | 0.7 | | effectiveRatio | 0.667 | |