| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 3 | | adverbTags | | 0 | "She looked away [away]" | | 1 | "He stepped back [back]" | | 2 | "she said finally [finally]" |
| | dialogueSentences | 41 | | tagDensity | 0.512 | | leniency | 1 | | rawRatio | 0.143 | | effectiveRatio | 0.143 | |
| 69.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1321 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "tightly" | | 1 | "quickly" | | 2 | "softly" | | 3 | "slightly" | | 4 | "truly" | | 5 | "really" | | 6 | "carefully" |
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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 | 1321 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "familiar" | | 1 | "pulsed" | | 2 | "silence" | | 3 | "racing" | | 4 | "apprehension" | | 5 | "stomach" | | 6 | "intensity" | | 7 | "tension" | | 8 | "enigmatic" | | 9 | "weight" | | 10 | "chill" | | 11 | "whisper" | | 12 | "echoed" | | 13 | "enigma" | | 14 | "warmth" | | 15 | "flicker" | | 16 | "unspoken" | | 17 | "navigate" |
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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 | 1 | | narrationSentences | 66 | | matches | | |
| 99.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 66 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1315 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.87% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 941 | | uniqueNames | 6 | | maxNameDensity | 1.06 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Silas | 1 | | Rory | 10 | | Lucien | 4 | | Moreau | 2 | | French | 1 | | Seeing | 1 |
| | persons | | 0 | "Silas" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Moreau" |
| | places | (empty) | | globalScore | 0.969 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | 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 | 1315 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 87.50% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 33.72 | | std | 15.38 | | cv | 0.456 | | sampleLengths | | 0 | 79 | | 1 | 75 | | 2 | 39 | | 3 | 12 | | 4 | 59 | | 5 | 49 | | 6 | 25 | | 7 | 36 | | 8 | 36 | | 9 | 28 | | 10 | 26 | | 11 | 40 | | 12 | 45 | | 13 | 42 | | 14 | 39 | | 15 | 24 | | 16 | 19 | | 17 | 32 | | 18 | 12 | | 19 | 35 | | 20 | 41 | | 21 | 15 | | 22 | 7 | | 23 | 31 | | 24 | 46 | | 25 | 13 | | 26 | 38 | | 27 | 34 | | 28 | 33 | | 29 | 45 | | 30 | 31 | | 31 | 21 | | 32 | 13 | | 33 | 22 | | 34 | 44 | | 35 | 32 | | 36 | 35 | | 37 | 22 | | 38 | 40 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 168 | | matches | | 0 | "was taking" | | 1 | "was willing" |
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| 9.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 86 | | ratio | 0.047 | | matches | | 0 | "The slicked-back platinum hair glimmered under the single overhead light, and those strikingly mismatched eyes—one amber, one black—met hers with an intensity that made her forget to speak." | | 1 | "Seeing him here, now, brought back flashes of their last meeting—a tangled mess of accusations and broken trust." | | 2 | "The man in front of her was not the dangerous enigma she had once known; he was a flawed individual standing bare and vulnerable." | | 3 | "She had unfinished business with Lucien Moreau, and whatever the future held, she was willing to untangle it—together." |
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| 98.04% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 947 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.042238648363252376 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.01689545934530095 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 15.29 | | std | 7.34 | | cv | 0.48 | | sampleLengths | | 0 | 28 | | 1 | 34 | | 2 | 17 | | 3 | 16 | | 4 | 6 | | 5 | 25 | | 6 | 12 | | 7 | 5 | | 8 | 11 | | 9 | 10 | | 10 | 8 | | 11 | 12 | | 12 | 9 | | 13 | 12 | | 14 | 10 | | 15 | 21 | | 16 | 28 | | 17 | 26 | | 18 | 23 | | 19 | 20 | | 20 | 5 | | 21 | 8 | | 22 | 28 | | 23 | 18 | | 24 | 13 | | 25 | 5 | | 26 | 9 | | 27 | 19 | | 28 | 9 | | 29 | 17 | | 30 | 23 | | 31 | 17 | | 32 | 34 | | 33 | 11 | | 34 | 9 | | 35 | 33 | | 36 | 22 | | 37 | 17 | | 38 | 15 | | 39 | 9 | | 40 | 9 | | 41 | 10 | | 42 | 13 | | 43 | 19 | | 44 | 12 | | 45 | 8 | | 46 | 27 | | 47 | 14 | | 48 | 13 | | 49 | 14 |
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| 79.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4883720930232558 | | totalSentences | 86 | | uniqueOpeners | 42 | |
| 50.51% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 66 | | matches | | 0 | "Maybe if she waited long" |
| | ratio | 0.015 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 66 | | matches | | 0 | "She was halfway through a" | | 1 | "It wouldn’t be the first" | | 2 | "She hesitated, taking a breath" | | 3 | "She folded her arms tightly" | | 4 | "she finally managed, leaning against" | | 5 | "His lips curled into a" | | 6 | "His voice was smooth, cultured," | | 7 | "She shifted on her feet," | | 8 | "he quipped, eyes glimmering with" | | 9 | "She stepped back, deliberating whether" | | 10 | "He took her tacit invitation," | | 11 | "he said, glancing around the" | | 12 | "She looked away, avoiding the" | | 13 | "He chuckled softly, a sound" | | 14 | "He lingered on the word," | | 15 | "he continued, an edge of" | | 16 | "she scoffed, crossing her arms" | | 17 | "he said, a shadow flickering" | | 18 | "she finished for him, her" | | 19 | "He nodded, a muscle tightening" |
| | ratio | 0.5 | |
| 58.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 66 | | matches | | 0 | "Rory stood at the small" | | 1 | "The faint sound of sizzling" | | 2 | "She was halfway through a" | | 3 | "The sound pulsed through her" | | 4 | "Eva was at work, and" | | 5 | "It wouldn’t be the first" | | 6 | "She hesitated, taking a breath" | | 7 | "The slicked-back platinum hair glimmered" | | 8 | "The air thickened between them," | | 9 | "She folded her arms tightly" | | 10 | "she finally managed, leaning against" | | 11 | "His lips curled into a" | | 12 | "His voice was smooth, cultured," | | 13 | "She shifted on her feet," | | 14 | "he quipped, eyes glimmering with" | | 15 | "The serious undertone in his" | | 16 | "She stepped back, deliberating whether" | | 17 | "He took her tacit invitation," | | 18 | "he said, glancing around the" | | 19 | "She looked away, avoiding the" |
| | ratio | 0.803 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 3.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 7 | | matches | | 0 | "Rory stood at the small kitchen counter, her hands immersed in sudsy water as she scrubbed a batch of takeout containers that had piled up in the sink." | | 1 | "The faint sound of sizzling from the small frying pan on the stove mingled with the rich, spicy aroma of the curry that lingered in the air, a familiar comfort …" | | 2 | "With her heart thrumming, she wiped her hands on a dishrag and glanced at the door, her mind racing through a parade of possible visitors." | | 3 | "Dressed to perfection in a tailored charcoal suit that hugged his lean form, he looked every bit the polished city dweller." | | 4 | "The slicked-back platinum hair glimmered under the single overhead light, and those strikingly mismatched eyes—one amber, one black—met hers with an intensity t…" | | 5 | "The air thickened between them, a strange blend of unresolved tension and the familiar spark that had always danced in the shadows of their complicated history." | | 6 | "Lucien offered a light chuckle, grateful and relieved, settling into the chair with an ease that comforted her, at least a little." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 9 | | matches | | 0 | "he quipped, eyes glimmering with mischief" | | 1 | "he continued, an edge of sincerity creeping into his tone" | | 2 | "he said, a shadow flickering across his features" | | 3 | "she finished, her voice dropping to a whisper" | | 4 | "she asked, her voice steadier than she felt" | | 5 | "he replied, his gaze unflinching" | | 6 | "she spat, her frustration rising alongside the heat in the room" | | 7 | "he said, his voice low" | | 8 | "he replied, his voice softening with the slightest hint of warmth" |
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| 52.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "he quipped (quip)" | | 1 | "he continued (continue)" | | 2 | "she spat (spit)" | | 3 | "he added (add)" |
| | dialogueSentences | 41 | | tagDensity | 0.268 | | leniency | 0.537 | | rawRatio | 0.364 | | effectiveRatio | 0.195 | |