| 33.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "He turned slightly [slightly]" | | 1 | "he said suddenly [suddenly]" | | 2 | "he said again [again]" |
| | dialogueSentences | 26 | | tagDensity | 0.692 | | leniency | 1 | | rawRatio | 0.167 | | effectiveRatio | 0.167 | |
| 83.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1191 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "suddenly" |
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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) | |
| 3.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1191 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "normalcy" | | 1 | "familiar" | | 2 | "comforting" | | 3 | "sentinels" | | 4 | "warmth" | | 5 | "chill" | | 6 | "peril" | | 7 | "velvet" | | 8 | "firmly" | | 9 | "tension" | | 10 | "predator" | | 11 | "navigate" | | 12 | "intensity" | | 13 | "stark" | | 14 | "sanctuary" | | 15 | "potential" | | 16 | "otherworldly" | | 17 | "resolve" | | 18 | "weight" | | 19 | "silence" | | 20 | "echo" |
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| 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 various truth" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 59 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1198 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1065 | | uniqueNames | 7 | | maxNameDensity | 0.94 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Rory | 9 | | Eva | 9 | | Ptolemy | 3 | | Moreau | 1 | | Lucien | 10 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Moreau" | | 4 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 2 | | matches | | 0 | "quite decipher" | | 1 | "something akin to quiet understanding, hovered" |
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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 | 1198 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 59 | | matches | | |
| 98.42% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 38.65 | | std | 19.11 | | cv | 0.494 | | sampleLengths | | 0 | 98 | | 1 | 45 | | 2 | 69 | | 3 | 82 | | 4 | 18 | | 5 | 40 | | 6 | 24 | | 7 | 25 | | 8 | 25 | | 9 | 33 | | 10 | 45 | | 11 | 50 | | 12 | 17 | | 13 | 27 | | 14 | 57 | | 15 | 33 | | 16 | 24 | | 17 | 27 | | 18 | 56 | | 19 | 33 | | 20 | 55 | | 21 | 16 | | 22 | 32 | | 23 | 22 | | 24 | 46 | | 25 | 35 | | 26 | 12 | | 27 | 39 | | 28 | 34 | | 29 | 49 | | 30 | 30 |
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| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 51 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 168 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 3 | | flaggedSentences | 8 | | totalSentences | 59 | | ratio | 0.136 | | matches | | 0 | "She expected the usual greeting — Ptolemy's tentative meow, the warmth inside overwhelming the bitterness of the outside chill, an ever-present disarray of notes and scrolls threatening to topple from every corner — but wasn’t prepared for the additional presence occupying the small living room." | | 1 | "He turned with a fluid grace that belied the dangerous edge of presence, his heterochromatic gaze catching the weak light — one eye amber like late afternoon sunshine, the other a deep, fathomless black." | | 2 | "She couldn't tell if it was the amber shade that warmed her or the black that left a taste of peril; their last meeting hadn't been under the best of circumstances, yet here he was again, an unsummoned phantom made flesh." | | 3 | "\"How's business?\" she asked, attempting neutrality, attempting — perhaps — to mend the frays of earlier encounters." | | 4 | "\"Life's a tangled web; I merely keep pace.\" He turned slightly, his gaze shifting away as if to inspect the artifacts of Eva's scholarly chaos." | | 5 | "They seemed to pause then, letting a quiet settle and expand like a third presence in the small flat, beckoning or repelling — Rory couldn’t decide which." | | 6 | "His nod was a small concession, yet the significance was monumental against the backdrop of what they’d once shared — potential and disruption wrapped in messy humanity and the otherworldly." | | 7 | "Maybe the old folds of their connection could hold firm, re-tethered with each word, rebuilt upon a foundation that once held ground; only time, despite its slippery nature, would tell." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1059 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.03871576959395656 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.018885741265344664 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 59 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 59 | | mean | 20.31 | | std | 8.85 | | cv | 0.436 | | sampleLengths | | 0 | 24 | | 1 | 33 | | 2 | 41 | | 3 | 45 | | 4 | 15 | | 5 | 34 | | 6 | 20 | | 7 | 12 | | 8 | 29 | | 9 | 41 | | 10 | 18 | | 11 | 19 | | 12 | 21 | | 13 | 24 | | 14 | 25 | | 15 | 25 | | 16 | 26 | | 17 | 7 | | 18 | 29 | | 19 | 16 | | 20 | 16 | | 21 | 15 | | 22 | 19 | | 23 | 17 | | 24 | 15 | | 25 | 12 | | 26 | 17 | | 27 | 18 | | 28 | 22 | | 29 | 25 | | 30 | 8 | | 31 | 8 | | 32 | 16 | | 33 | 14 | | 34 | 13 | | 35 | 27 | | 36 | 29 | | 37 | 15 | | 38 | 18 | | 39 | 13 | | 40 | 25 | | 41 | 17 | | 42 | 16 | | 43 | 30 | | 44 | 2 | | 45 | 12 | | 46 | 10 | | 47 | 25 | | 48 | 16 | | 49 | 5 |
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| 94.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.576271186440678 | | totalSentences | 59 | | uniqueOpeners | 34 | |
| 65.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 51 | | matches | | 0 | "Maybe the old folds of" |
| | ratio | 0.02 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 51 | | matches | | 0 | "She expected the usual greeting" | | 1 | "He turned with a fluid" | | 2 | "His tailored charcoal suit didn't" | | 3 | "She couldn't tell if it" | | 4 | "he greeted, his voice smooth" | | 5 | "Her voice was steadier than" | | 6 | "She nudged the door closed" | | 7 | "he said, and a smile" | | 8 | "she lied because it was" | | 9 | "he said, and she caught" | | 10 | "he added, his cane tapping" | | 11 | "She felt a tightness around" | | 12 | "she asked, attempting neutrality, attempting" | | 13 | "He tilted his head, a" | | 14 | "she teased, moderating her tone" | | 15 | "Her fingers absently brushed against" | | 16 | "He turned slightly, his gaze" | | 17 | "she said, playing at flippancy" | | 18 | "His laughter surprised them both," | | 19 | "They seemed to pause then," |
| | ratio | 0.569 | |
| 9.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 51 | | matches | | 0 | "Eva's flat stood as a" | | 1 | "The last lock clicked with" | | 2 | "She expected the usual greeting" | | 3 | "Lucien Moreau stood by the" | | 4 | "He turned with a fluid" | | 5 | "Rory's heart skipped in her" | | 6 | "Lucien exuded an elegance that" | | 7 | "His tailored charcoal suit didn't" | | 8 | "She couldn't tell if it" | | 9 | "he greeted, his voice smooth" | | 10 | "Her voice was steadier than" | | 11 | "She nudged the door closed" | | 12 | "he said, and a smile" | | 13 | "she lied because it was" | | 14 | "Lucien noted, moving from the" | | 15 | "Rory admitted, folding her arms" | | 16 | "he said, and she caught" | | 17 | "he added, his cane tapping" | | 18 | "She felt a tightness around" | | 19 | "Eva had always been the" |
| | ratio | 0.902 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 34.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 5 | | matches | | 0 | "He turned with a fluid grace that belied the dangerous edge of presence, his heterochromatic gaze catching the weak light — one eye amber like late afternoon su…" | | 1 | "She couldn't tell if it was the amber shade that warmed her or the black that left a taste of peril; their last meeting hadn't been under the best of circumstan…" | | 2 | "Her fingers absently brushed against the crescent scar on her wrist, an old habit that gave her pause." | | 3 | "Lucien glanced at her hand, then met her eyes with an intensity that curled something inside her, taut like a wire string." | | 4 | "His laughter surprised them both, a short bark that softened to an affectionate chuckle." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, and a smile tugged at the corners of his mouth, softening the sharp edges of his face" | | 1 | "he added, his cane tapping the floor softly, punctuating his words" | | 2 | "he said again, the words holding the weight of various truths" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 6 | | fancyTags | | 0 | "she lied (lie)" | | 1 | "Lucien noted (note)" | | 2 | "Rory admitted (admit)" | | 3 | "he added (add)" | | 4 | "she teased (tease)" | | 5 | "he suggested (suggest)" |
| | dialogueSentences | 26 | | tagDensity | 0.538 | | leniency | 1 | | rawRatio | 0.429 | | effectiveRatio | 0.429 | |