| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.407 | | leniency | 0.815 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1196 | | totalAiIsmAdverbs | 1 | | 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) | |
| 24.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1196 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pulsed" | | 1 | "absolutely" | | 2 | "warmth" | | 3 | "almost alive" | | 4 | "pulse" | | 5 | "quickened" | | 6 | "footsteps" | | 7 | "traced" | | 8 | "silence" | | 9 | "perfect" | | 10 | "predator" | | 11 | "calculated" |
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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 | 118 | | matches | (empty) | |
| 94.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 118 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1193 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.17% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1041 | | uniqueNames | 9 | | maxNameDensity | 1.06 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 2 | | Tonight | 1 | | Richmond | 1 | | Park | 1 | | Fae | 1 | | Grove | 1 | | Rory | 11 | | Silence | 2 | | Isolde | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Silence" | | 3 | "Isolde" |
| | places | | 0 | "Tonight" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Fae" | | 4 | "Grove" |
| | globalScore | 0.972 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 1 | | matches | | 0 | "spirals that seemed to shift when she wasn't looking directly at them" |
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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 | 1193 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 135 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 20.93 | | std | 16.31 | | cv | 0.779 | | sampleLengths | | 0 | 10 | | 1 | 41 | | 2 | 10 | | 3 | 64 | | 4 | 12 | | 5 | 59 | | 6 | 6 | | 7 | 42 | | 8 | 36 | | 9 | 2 | | 10 | 8 | | 11 | 5 | | 12 | 51 | | 13 | 16 | | 14 | 38 | | 15 | 13 | | 16 | 2 | | 17 | 12 | | 18 | 39 | | 19 | 54 | | 20 | 3 | | 21 | 5 | | 22 | 11 | | 23 | 9 | | 24 | 4 | | 25 | 12 | | 26 | 31 | | 27 | 37 | | 28 | 41 | | 29 | 5 | | 30 | 30 | | 31 | 20 | | 32 | 20 | | 33 | 17 | | 34 | 26 | | 35 | 14 | | 36 | 1 | | 37 | 5 | | 38 | 33 | | 39 | 11 | | 40 | 53 | | 41 | 18 | | 42 | 3 | | 43 | 27 | | 44 | 7 | | 45 | 1 | | 46 | 26 | | 47 | 26 | | 48 | 19 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 193 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 135 | | ratio | 0 | | matches | (empty) | |
| 98.15% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 180 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.03333333333333333 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.022222222222222223 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 8.84 | | std | 6.59 | | cv | 0.746 | | sampleLengths | | 0 | 10 | | 1 | 13 | | 2 | 16 | | 3 | 12 | | 4 | 5 | | 5 | 2 | | 6 | 3 | | 7 | 17 | | 8 | 22 | | 9 | 6 | | 10 | 19 | | 11 | 12 | | 12 | 24 | | 13 | 13 | | 14 | 22 | | 15 | 6 | | 16 | 3 | | 17 | 1 | | 18 | 1 | | 19 | 14 | | 20 | 4 | | 21 | 11 | | 22 | 3 | | 23 | 5 | | 24 | 4 | | 25 | 2 | | 26 | 15 | | 27 | 15 | | 28 | 2 | | 29 | 8 | | 30 | 3 | | 31 | 2 | | 32 | 4 | | 33 | 17 | | 34 | 8 | | 35 | 22 | | 36 | 5 | | 37 | 5 | | 38 | 6 | | 39 | 7 | | 40 | 7 | | 41 | 24 | | 42 | 5 | | 43 | 1 | | 44 | 7 | | 45 | 2 | | 46 | 1 | | 47 | 11 | | 48 | 2 | | 49 | 3 |
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| 72.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.45925925925925926 | | totalSentences | 135 | | uniqueOpeners | 62 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 100 | | matches | | 0 | "More like the memory of" | | 1 | "Soft, deliberate, crunching on the" | | 2 | "Then, from the far edge" | | 3 | "Too many teeth." |
| | ratio | 0.04 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 100 | | matches | | 0 | "Its crimson glow pulsed in" | | 1 | "She shouldn't have come here." | | 2 | "She'd ignored it through her" | | 3 | "It coated her throat like" | | 4 | "She checked her phone." | | 5 | "She released it, letting the" | | 6 | "They formed a containment circle," | | 7 | "She'd stopped believing in faeries" | | 8 | "She approached it slowly, keeping" | | 9 | "They were channels." | | 10 | "She jerked her hand back." | | 11 | "Her voice came out steadier" | | 12 | "She moved towards the sound." | | 13 | "She winced, pulling the chain" | | 14 | "Their impossible colours faded to" | | 15 | "She pivoted, catching movement at" | | 16 | "Its heat had become uncomfortable," | | 17 | "She hoped she sounded more" | | 18 | "Its face held beauty the" | | 19 | "She knew that much." |
| | ratio | 0.24 | |
| 85.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 100 | | matches | | 0 | "The pendant burned against her" | | 1 | "Rory clutched the silver chain" | | 2 | "Its crimson glow pulsed in" | | 3 | "The warmth seeped through layers" | | 4 | "She shouldn't have come here." | | 5 | "She'd ignored it through her" | | 6 | "Tonight, the pull had become" | | 7 | "The pendant had guided her" | | 8 | "The Fae Grove opened before" | | 9 | "Wildflowers carpeted the clearing in" | | 10 | "The standing stones ringed the" | | 11 | "Rory stepped past the boundary" | | 12 | "The air changed." | | 13 | "It coated her throat like" | | 14 | "None of this made sense." | | 15 | "She checked her phone." | | 16 | "The time read 11:47 PM," | | 17 | "A seven-minute walk had taken" | | 18 | "The pendant's pulse quickened." | | 19 | "She released it, letting the" |
| | ratio | 0.75 | |
| 50.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 100 | | matches | | 0 | "Now, standing in a grove" |
| | ratio | 0.01 | |
| 76.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 4 | | matches | | 0 | "But the pulling had started three days ago, a tugging sensation behind her sternum that wouldn't quit." | | 1 | "Now, standing in a grove that shouldn't exist, watching flowers bloom in impossible colours, she wondered what else her grandmother had been right about." | | 2 | "Its face held beauty the way a knife holds sharpness, features too perfect, too symmetrical, skin that caught the grove's light and threw it back twisted." | | 3 | "The gem flew from her hands, arcing across the clearing, trailing light like a comet's tail." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 27 | | tagDensity | 0.037 | | leniency | 0.074 | | rawRatio | 1 | | effectiveRatio | 0.074 | |