| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1401 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | |
| | highlights | | 0 | "deliberately" | | 1 | "completely" |
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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) | |
| 57.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1401 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulse" | | 1 | "silence" | | 2 | "echoes" | | 3 | "glistening" | | 4 | "footsteps" | | 5 | "measured" | | 6 | "pulsed" | | 7 | "whisper" |
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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 | 136 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 136 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 139 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1397 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1362 | | uniqueNames | 4 | | maxNameDensity | 1.17 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 4 | | Rory | 16 |
| | persons | | | places | | | globalScore | 0.913 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 92 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1397 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 139 | | matches | | |
| 94.41% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 66.52 | | std | 31.96 | | cv | 0.48 | | sampleLengths | | 0 | 120 | | 1 | 79 | | 2 | 11 | | 3 | 90 | | 4 | 62 | | 5 | 52 | | 6 | 69 | | 7 | 16 | | 8 | 80 | | 9 | 66 | | 10 | 99 | | 11 | 82 | | 12 | 66 | | 13 | 66 | | 14 | 11 | | 15 | 3 | | 16 | 82 | | 17 | 86 | | 18 | 95 | | 19 | 109 | | 20 | 53 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 136 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 245 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 3 | | flaggedSentences | 8 | | totalSentences | 139 | | ratio | 0.058 | | matches | | 0 | "She scooped a handful and let them fall; they melted into the soil before they touched it." | | 1 | "Another shape fled the edge of her sight—taller this time, thin, almost man-shaped—and again it dissolved the moment her blue eyes found it." | | 2 | "Her fingers brushed a groove that felt too regular—like a carved symbol half rubbed away." | | 3 | "She looked back at her own trail and found none; the flowers simply closed over every place she had stood." | | 4 | "When she stood completely still, the footsteps continued—two steady ones for every second she delayed." | | 5 | "Breath warmed the air beside her left ear—slow, measured, carrying the same sweet-rot scent that overlay the mint." | | 6 | "Rory forced her head not to whip around; she turned only her eyes." | | 7 | "For a heartbeat she thought the park waited beyond—distant lights, ordinary cold night." |
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| 90.36% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1372 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 70 | | adverbRatio | 0.05102040816326531 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.01020408163265306 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 139 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 139 | | mean | 10.05 | | std | 6.62 | | cv | 0.659 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 3 | | 3 | 4 | | 4 | 8 | | 5 | 14 | | 6 | 28 | | 7 | 30 | | 8 | 3 | | 9 | 7 | | 10 | 17 | | 11 | 16 | | 12 | 8 | | 13 | 11 | | 14 | 6 | | 15 | 14 | | 16 | 3 | | 17 | 8 | | 18 | 2 | | 19 | 25 | | 20 | 8 | | 21 | 23 | | 22 | 9 | | 23 | 15 | | 24 | 8 | | 25 | 17 | | 26 | 8 | | 27 | 19 | | 28 | 6 | | 29 | 2 | | 30 | 2 | | 31 | 8 | | 32 | 9 | | 33 | 3 | | 34 | 12 | | 35 | 2 | | 36 | 17 | | 37 | 9 | | 38 | 7 | | 39 | 11 | | 40 | 5 | | 41 | 5 | | 42 | 22 | | 43 | 19 | | 44 | 7 | | 45 | 9 | | 46 | 13 | | 47 | 3 | | 48 | 4 | | 49 | 4 |
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| 57.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3597122302158273 | | totalSentences | 139 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 120 | | matches | | 0 | "Just flowers and stones and" | | 1 | "Then another, timed exactly to" | | 2 | "Then, deliberately, one blooming white" | | 3 | "Then the opening sealed with" | | 4 | "More footsteps closed from every" |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 120 | | matches | | 0 | "Her trainers sank into loam" | | 1 | "She had come because the" | | 2 | "She took another step into" | | 3 | "She breathed in the night" | | 4 | "It smelled of crushed mint" | | 5 | "She should have felt foolish" | | 6 | "She blinked and the faces" | | 7 | "She walked to the centre" | | 8 | "She looked down." | | 9 | "She scooped a handful and" | | 10 | "She waited for a third." | | 11 | "she said, louder" | | 12 | "Her voice bounced strangely, landing" | | 13 | "She kept turning." | | 14 | "Her free hand brushed the" | | 15 | "It came from every direction" | | 16 | "She fixed her gaze on" | | 17 | "She forced herself to the" | | 18 | "Her fingers brushed a groove" | | 19 | "She cursed and snatched her" |
| | ratio | 0.267 | |
| 47.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 99 | | totalSentences | 120 | | matches | | 0 | "Aurora stepped between the two" | | 1 | "The city hush of Richmond" | | 2 | "Her trainers sank into loam" | | 3 | "Wildflowers crowded the grass in" | | 4 | "She had come because the" | | 5 | "She took another step into" | | 6 | "The silver chain tugged once," | | 7 | "Rory lifted it free of" | | 8 | "She breathed in the night" | | 9 | "It smelled of crushed mint" | | 10 | "She should have felt foolish" | | 11 | "Rory turned a slow circle," | | 12 | "She blinked and the faces" | | 13 | "A soft breeze stirred the" | | 14 | "The stems leant toward her" | | 15 | "She walked to the centre" | | 16 | "The pendant warmed further, not" | | 17 | "Rory pressed two fingers to" | | 18 | "Leaves rustled behind her left" | | 19 | "The trees stood motionless under" |
| | ratio | 0.825 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 120 | | matches | (empty) | | ratio | 0 | |
| 64.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 7 | | matches | | 0 | "Her trainers sank into loam that felt thicker than the leaf-litter outside the ring." | | 1 | "Wildflowers crowded the grass in blue and white clumps that should have died months ago, their petals bright under a moon that hung too low and too white." | | 2 | "Standing stones thrice her height formed the boundary, their bark patterned with pale lichen that looked, for half a second, like watching faces." | | 3 | "The flowers that had leant closer now formed a low ring around her feet, stems upright, petals flared open as if listening." | | 4 | "Her free hand brushed the small crescent scar on her left wrist, the old childhood mark now raised and tight as if the skin itself wanted to escape." | | 5 | "Then, deliberately, one blooming white flower rose higher than the others as if something beneath it pushed." | | 6 | "The petals unfurled further until they split and folded inward on themselves, forming a pale, glistening mouth that opened and closed without sound." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "She whispered (whisper)" |
| | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.667 | | effectiveRatio | 0.667 | |