| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 669 | | totalAiIsmAdverbs | 2 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 669 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "footsteps" | | 1 | "traced" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "stark" | | 5 | "chill" | | 6 | "familiar" | | 7 | "quickened" | | 8 | "pulse" | | 9 | "trembled" | | 10 | "perfect" | | 11 | "whisper" | | 12 | "thundered" | | 13 | "racing" | | 14 | "echo" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 57 | | matches | (empty) | |
| 67.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 57 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 58 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 673 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 87.98% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 645 | | uniqueNames | 8 | | maxNameDensity | 1.24 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Grove | 1 | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Isolde | 1 | | February | 1 | | Simple | 1 | | Aurora | 8 |
| | persons | | 0 | "Grove" | | 1 | "Isolde" | | 2 | "February" | | 3 | "Aurora" |
| | places | | | globalScore | 0.88 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like walking through spider webs -" | | 1 | "quite grasp" | | 2 | "rhythm that seemed to echo through the grove" |
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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 | 673 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 48.76% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 33.65 | | std | 10.79 | | cv | 0.321 | | sampleLengths | | 0 | 55 | | 1 | 39 | | 2 | 46 | | 3 | 41 | | 4 | 30 | | 5 | 37 | | 6 | 25 | | 7 | 12 | | 8 | 27 | | 9 | 30 | | 10 | 30 | | 11 | 33 | | 12 | 23 | | 13 | 38 | | 14 | 36 | | 15 | 47 | | 16 | 36 | | 17 | 39 | | 18 | 40 | | 19 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 118 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 58 | | ratio | 0.121 | | matches | | 0 | "Her breath fogged in the frigid air while she traced the crescent scar on her wrist - a nervous habit from childhood." | | 1 | "The transition always felt like walking through spider webs - invisible threads catching at her skin, making her shiver." | | 2 | "The pendant's pulse grew stronger, faster - like a frightened heartbeat against her skin." | | 3 | "More handprints began appearing around it - dozens of them, spreading across the trunk like luminous bruises." | | 4 | "They seemed to be trying to tell her something important, something vital - but understanding slipped away like water through her fingers." | | 5 | "Time moved strangely here - she knew that." | | 6 | "But her reflection's eyes were wrong - too dark, too deep, like wells that led straight to hell." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 156 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.03205128205128205 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.00641025641025641 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 58 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 58 | | mean | 11.6 | | std | 5.76 | | cv | 0.496 | | sampleLengths | | 0 | 17 | | 1 | 16 | | 2 | 22 | | 3 | 16 | | 4 | 23 | | 5 | 6 | | 6 | 19 | | 7 | 11 | | 8 | 10 | | 9 | 13 | | 10 | 4 | | 11 | 5 | | 12 | 4 | | 13 | 1 | | 14 | 14 | | 15 | 5 | | 16 | 5 | | 17 | 7 | | 18 | 13 | | 19 | 14 | | 20 | 23 | | 21 | 7 | | 22 | 4 | | 23 | 14 | | 24 | 9 | | 25 | 3 | | 26 | 13 | | 27 | 7 | | 28 | 7 | | 29 | 5 | | 30 | 12 | | 31 | 1 | | 32 | 12 | | 33 | 4 | | 34 | 10 | | 35 | 16 | | 36 | 16 | | 37 | 17 | | 38 | 16 | | 39 | 7 | | 40 | 15 | | 41 | 9 | | 42 | 14 | | 43 | 14 | | 44 | 22 | | 45 | 15 | | 46 | 14 | | 47 | 18 | | 48 | 8 | | 49 | 11 |
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| 63.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.41379310344827586 | | totalSentences | 58 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 53 | | matches | | 0 | "Her breath fogged in the" | | 1 | "She needed answers about the" | | 2 | "Their sweet perfume hung thick" | | 3 | "She forced herself to breathe" | | 4 | "Her voice sounded thin in" | | 5 | "Their sweet smell intensified, becoming" | | 6 | "She jumped back with a" | | 7 | "they were swaying toward her," | | 8 | "She caught herself against a" | | 9 | "They seemed to be trying" | | 10 | "Her own heartbeat thundered in" | | 11 | "She turned to run and" |
| | ratio | 0.226 | |
| 44.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 53 | | matches | | 0 | "Aurora's footsteps crunched on fallen" | | 1 | "The moon hung bloated in" | | 2 | "Her breath fogged in the" | | 3 | "The Heartstone pendant pulsed against" | | 4 | "She needed answers about the" | | 5 | "Aurora slipped between the standing" | | 6 | "The transition always felt like" | | 7 | "Their sweet perfume hung thick" | | 8 | "The familiar grove seemed..." | | 9 | "A twig snapped behind her." | | 10 | "Aurora whirled around, heart hammering." | | 11 | "Nothing there except shadows between" | | 12 | "She forced herself to breathe" | | 13 | "The path ahead twisted more" | | 14 | "Moonlight filtered through the canopy" | | 15 | "Another crack of wood, closer" | | 16 | "Aurora quickened her pace." | | 17 | "The pendant's pulse grew stronger," | | 18 | "Her voice sounded thin in" | | 19 | "The flowers at her feet" |
| | ratio | 0.83 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 31.25% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 5 | | matches | | 0 | "The transition always felt like walking through spider webs - invisible threads catching at her skin, making her shiver." | | 1 | "Moonlight filtered through the canopy in strange patterns, creating shifting shapes that drew her eye but disappeared when she looked directly at them." | | 2 | "they were swaying toward her, their stems stretching up like grasping fingers." | | 3 | "The pendant's pulse matched her racing heart, creating a desperate rhythm that seemed to echo through the grove." | | 4 | "But her reflection's eyes were wrong - too dark, too deep, like wells that led straight to hell." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |