| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "Isolde's laugh held too [too]" |
| | dialogueSentences | 54 | | tagDensity | 0.352 | | leniency | 0.704 | | rawRatio | 0.053 | | effectiveRatio | 0.037 | |
| 92.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1364 | | 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) | |
| 59.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1364 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "loomed" | | 1 | "warmth" | | 2 | "chill" | | 3 | "weight" | | 4 | "beacon" | | 5 | "flickered" | | 6 | "shattered" | | 7 | "fractured" | | 8 | "familiar" |
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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 | 151 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 151 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 184 | | 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 | 1369 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1016 | | uniqueNames | 19 | | maxNameDensity | 1.48 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Isolde" | | discoveredNames | | Richmond | 3 | | Park | 3 | | Heartstone | 8 | | October | 2 | | Isolde | 9 | | Rory | 15 | | Golden | 1 | | Empress | 1 | | Law | 1 | | Movement | 1 | | Teeth | 1 | | Wasn | 1 | | Aurora | 1 | | Carter | 1 | | Real | 2 | | London | 2 | | Worried | 1 | | Like | 4 | | Human | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "October" | | 2 | "Isolde" | | 3 | "Rory" | | 4 | "Empress" | | 5 | "Teeth" | | 6 | "Aurora" | | 7 | "Carter" | | 8 | "Like" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "London" |
| | globalScore | 0.762 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 7 | | per1kWords | 5.113 | | wordCount | 1369 | | matches | | 0 | "Not painful, but insistent" | | 1 | "Not a clearing but a wound" | | 2 | "Not grass but ash" | | 3 | "Not trees but" | | 4 | "Not advancing but unfolding, like origami made of night" | | 5 | "not red anymore but something" | | 6 | "Not down but through" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 184 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 20.74 | | std | 11.73 | | cv | 0.566 | | sampleLengths | | 0 | 35 | | 1 | 2 | | 2 | 22 | | 3 | 20 | | 4 | 27 | | 5 | 3 | | 6 | 39 | | 7 | 17 | | 8 | 27 | | 9 | 23 | | 10 | 37 | | 11 | 23 | | 12 | 21 | | 13 | 13 | | 14 | 15 | | 15 | 31 | | 16 | 3 | | 17 | 35 | | 18 | 16 | | 19 | 17 | | 20 | 26 | | 21 | 20 | | 22 | 4 | | 23 | 34 | | 24 | 15 | | 25 | 4 | | 26 | 6 | | 27 | 10 | | 28 | 2 | | 29 | 27 | | 30 | 23 | | 31 | 35 | | 32 | 5 | | 33 | 2 | | 34 | 41 | | 35 | 23 | | 36 | 32 | | 37 | 4 | | 38 | 20 | | 39 | 30 | | 40 | 24 | | 41 | 2 | | 42 | 34 | | 43 | 31 | | 44 | 27 | | 45 | 38 | | 46 | 31 | | 47 | 6 | | 48 | 26 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 151 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 183 | | matches | | 0 | "was imagining" | | 1 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 184 | | ratio | 0.06 | | matches | | 0 | "Law school had taught her that much — never show weakness during negotiation." | | 1 | "For a moment, Rory saw through her — saw the grove as it truly was." | | 2 | "Not trees but—" | | 3 | "Memory crashed through her like a tide — but not her memories." | | 4 | "Someone who'd stood in this exact spot and made a choice that—" | | 5 | "Not chasing — unfolding." | | 6 | "And wings — she'd never had wings." | | 7 | "Not taking the pendant — making it." | | 8 | "Not finding the grove — creating it." | | 9 | "For a moment, Rory saw through everything — saw the true shape of the world and her place in it." | | 10 | "Like what she'd poured into it three years ago when she'd—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1011 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03560830860534125 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004945598417408506 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 184 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 184 | | mean | 7.44 | | std | 5.42 | | cv | 0.729 | | sampleLengths | | 0 | 14 | | 1 | 21 | | 2 | 2 | | 3 | 18 | | 4 | 4 | | 5 | 17 | | 6 | 3 | | 7 | 11 | | 8 | 2 | | 9 | 8 | | 10 | 6 | | 11 | 3 | | 12 | 2 | | 13 | 6 | | 14 | 9 | | 15 | 5 | | 16 | 17 | | 17 | 11 | | 18 | 6 | | 19 | 24 | | 20 | 3 | | 21 | 4 | | 22 | 6 | | 23 | 13 | | 24 | 11 | | 25 | 13 | | 26 | 13 | | 27 | 7 | | 28 | 16 | | 29 | 5 | | 30 | 8 | | 31 | 8 | | 32 | 13 | | 33 | 11 | | 34 | 4 | | 35 | 2 | | 36 | 8 | | 37 | 9 | | 38 | 12 | | 39 | 3 | | 40 | 35 | | 41 | 5 | | 42 | 4 | | 43 | 7 | | 44 | 12 | | 45 | 5 | | 46 | 5 | | 47 | 21 | | 48 | 3 | | 49 | 2 |
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| 58.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.40437158469945356 | | totalSentences | 183 | | uniqueOpeners | 74 | |
| 81.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 123 | | matches | | 0 | "Too many arms." | | 1 | "More memories flooded through." | | 2 | "Just a hairline fracture, but" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 123 | | matches | | 0 | "She stepped between two ancient" | | 1 | "She lifted the Heartstone" | | 2 | "Its glow painted the clearing" | | 3 | "She kept her voice steady" | | 4 | "Her breath misted in air" | | 5 | "Her shadow fell in three" | | 6 | "Her hand found rough bark" | | 7 | "Her foot caught on a" | | 8 | "She went down hard, palms" | | 9 | "It came from the shadow" | | 10 | "She was Aurora Carter." | | 11 | "She pushed herself up, gripping" | | 12 | "She landed hard on pavement." | | 13 | "She checked her phone" | | 14 | "She'd been gone eight minutes." | | 15 | "Her eyes burned with residual" | | 16 | "She brushed stone fragments from" | | 17 | "She climbed into the cab," |
| | ratio | 0.146 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 123 | | matches | | 0 | "The standing stones loomed darker" | | 1 | "Rory pressed her thumb against" | | 2 | "She stepped between two ancient" | | 3 | "Isolde emerged from shadow, her" | | 4 | "Rory checked her phone" | | 5 | "The clock face glitched between" | | 6 | "Eva expected her back by" | | 7 | "The morning shift at Golden" | | 8 | "She lifted the Heartstone" | | 9 | "Its glow painted the clearing" | | 10 | "Isolde circled her, bare feet" | | 11 | "The trees pressed closer." | | 12 | "She kept her voice steady" | | 13 | "Law school had taught her" | | 14 | "Isolde's laugh held too many" | | 15 | "Movement in her peripheral vision." | | 16 | "Rory turned, found only darkness" | | 17 | "The clearing felt smaller than" | | 18 | "Isolde's smile revealed teeth like" | | 19 | "The gap between the standing" |
| | ratio | 0.634 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 123 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "The oaks grew faces in their bark, watching with eyes that wept sap." | | 1 | "The ground beneath her feet wasn't soil anymore but something that gave like flesh." |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | 0 | "The shadow laughed, a sound like breaking bells" |
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| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "Isolde's smile revealed (reveal)" | | 1 | "The shadow laughed (laugh)" | | 2 | "She demanded (demand)" |
| | dialogueSentences | 54 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 1 | | effectiveRatio | 0.111 | |