| 66.67% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "The words cracked like [like]" |
| | dialogueSentences | 30 | | tagDensity | 0.467 | | leniency | 0.933 | | rawRatio | 0.143 | | effectiveRatio | 0.133 | |
| 94.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1720 | | 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) | |
| 47.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1720 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "practiced ease" | | count | 1 |
| | 14 | | | 15 | | | 16 | |
| | highlights | | 0 | "pulse" | | 1 | "marble" | | 2 | "variable" | | 3 | "silence" | | 4 | "gleaming" | | 5 | "chill" | | 6 | "chaotic" | | 7 | "mechanical" | | 8 | "navigated" | | 9 | "silk" | | 10 | "fragmented" | | 11 | "traced" | | 12 | "navigating" | | 13 | "practiced ease" | | 14 | "potential" | | 15 | "tracing" | | 16 | "sanctuary" |
| |
| 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 | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 97 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 14 | | totalWords | 1702 | | ratio | 0.008 | | matches | | 0 | "You're human, Aurora. You break. I break things." | | 1 | "terrified" | | 2 | "Nid cariad mohono, ond cythraul" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1360 | | uniqueNames | 17 | | maxNameDensity | 0.88 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Rory | 12 | | Welsh | 2 | | June | 1 | | Fitzrovia | 1 | | Irn-Bru | 1 | | French | 2 | | London | 2 | | Eva | 5 | | Lucien | 8 | | Cardiff | 2 | | Avarosian | 2 | | Aurora | 1 | | Celtic | 1 | | Brick | 1 | | Lane | 1 | | Marseille | 1 | | Carter | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Carter" |
| | places | | 0 | "Welsh" | | 1 | "Fitzrovia" | | 2 | "London" | | 3 | "Cardiff" | | 4 | "Avarosian" | | 5 | "Brick" | | 6 | "Lane" | | 7 | "Marseille" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1702 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 113 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 44.79 | | std | 31.11 | | cv | 0.695 | | sampleLengths | | 0 | 124 | | 1 | 13 | | 2 | 8 | | 3 | 1 | | 4 | 63 | | 5 | 70 | | 6 | 52 | | 7 | 53 | | 8 | 57 | | 9 | 57 | | 10 | 3 | | 11 | 83 | | 12 | 72 | | 13 | 69 | | 14 | 44 | | 15 | 27 | | 16 | 2 | | 17 | 90 | | 18 | 30 | | 19 | 68 | | 20 | 36 | | 21 | 60 | | 22 | 14 | | 23 | 95 | | 24 | 11 | | 25 | 70 | | 26 | 16 | | 27 | 3 | | 28 | 4 | | 29 | 85 | | 30 | 53 | | 31 | 21 | | 32 | 50 | | 33 | 2 | | 34 | 44 | | 35 | 50 | | 36 | 77 | | 37 | 25 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 97 | | matches | | |
| 44.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 215 | | matches | | 0 | "were already working" | | 1 | "wasn't towering" | | 2 | "was already assessing" | | 3 | "wasn't looking" | | 4 | "was seeing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 20 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 113 | | ratio | 0.115 | | matches | | 0 | "The third deadbolt clicked home with a solid thunk that usually settled Rory's nerves like sediment in a wine glass, but the knocking—three sharp, authoritative raps against the scarred wood—had already sent her pulse stuttering into her throat." | | 1 | "The memory still burned—his sheets tangled and cooling, the distance in his heterochromatic eyes when he'd told her, cold as marble, that she was a liability his bloodline couldn't afford." | | 2 | "The amber iris—his left eye—caught the sallow glow of the hallway bulb, warm and deceptive as honey." | | 3 | "Even when the woman didn't want to admit she could still taste him—smoke and bergamot—on the back of her tongue." | | 4 | "She glanced back at the flat—Eva's flat, cramped and chaotic, every surface colonized by open grimoires and scrolls weighted down with half-finished mugs of tea." | | 5 | "The smell hit him first as he entered—ajwain and cardamom from the restaurant below, mingling with old paper and the ozone tang of Eva's laptop chargers." | | 6 | "Rory secured the three deadbolts with mechanical efficiency, her back to him, hyperaware of his gaze tracking the movement—the first bolt, the second, the third." | | 7 | "When she turned, he was already assessing the room with the dispassionate attention of a broker cataloging assets, though his left hand—the one not holding the cane—twitched at his side." | | 8 | "His gaze lingered on a scroll unspooling across the radiator—Avarosian script, she realized with a jolt, the same script he'd claimed was tattooed into the lining of his lungs, binding him to his father's realm." | | 9 | "\"I know.\" He reached into his breast pocket and withdrew a silk handkerchief—monogrammed, absurdly expensive—to dab at the rain on his temples." | | 10 | "He took another step, bridging the distance until she felt the heat of him—or the illusion of heat, demon biology being what it was—against her palms." | | 11 | "The Lucien who had quoted Welsh poetry to her in bed—*Nid cariad mohono, ond cythraul*—laughing at her shock that the French fixer spoke her grandmother's tongue." | | 12 | "She met him, arching into the charcoal-dark safety of his arms, the scar on her wrist pressed against his heart—a crescent moon meeting a solar eclipse." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1158 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.023316062176165803 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0051813471502590676 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 15.06 | | std | 11.23 | | cv | 0.745 | | sampleLengths | | 0 | 38 | | 1 | 25 | | 2 | 23 | | 3 | 5 | | 4 | 7 | | 5 | 15 | | 6 | 11 | | 7 | 4 | | 8 | 9 | | 9 | 8 | | 10 | 1 | | 11 | 11 | | 12 | 22 | | 13 | 30 | | 14 | 4 | | 15 | 17 | | 16 | 13 | | 17 | 30 | | 18 | 3 | | 19 | 3 | | 20 | 16 | | 21 | 13 | | 22 | 3 | | 23 | 20 | | 24 | 6 | | 25 | 19 | | 26 | 1 | | 27 | 2 | | 28 | 15 | | 29 | 10 | | 30 | 5 | | 31 | 12 | | 32 | 14 | | 33 | 26 | | 34 | 16 | | 35 | 25 | | 36 | 16 | | 37 | 3 | | 38 | 26 | | 39 | 17 | | 40 | 20 | | 41 | 20 | | 42 | 25 | | 43 | 2 | | 44 | 15 | | 45 | 30 | | 46 | 17 | | 47 | 35 | | 48 | 4 | | 49 | 13 |
| |
| 52.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.37168141592920356 | | totalSentences | 113 | | uniqueOpeners | 42 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 55.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 90 | | matches | | 0 | "She counted to five in" | | 1 | "She shouldn't open it." | | 2 | "She knew better than to" | | 3 | "His name escaped before she" | | 4 | "He didn't smile" | | 5 | "They didn't fidget." | | 6 | "She gripped the doorframe with" | | 7 | "She locked her elbow to" | | 8 | "His accent curled around the" | | 9 | "He lifted the cane slightly," | | 10 | "She glanced back at the" | | 11 | "She stepped aside." | | 12 | "He navigated the labyrinth of" | | 13 | "His gaze lingered on a" | | 14 | "He didn't touch it." | | 15 | "He respected boundaries here, in" | | 16 | "She crossed her arms over" | | 17 | "Her black hair, still damp" | | 18 | "He reached into his breast" | | 19 | "*You're human, Aurora." |
| | ratio | 0.411 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 90 | | matches | | 0 | "The third deadbolt clicked home" | | 1 | "She counted to five in" | | 2 | "The uncompromising vertical line of" | | 3 | "The charcoal wool of the" | | 4 | "The flash of ivory where" | | 5 | "She shouldn't open it." | | 6 | "She knew better than to" | | 7 | "His name escaped before she" | | 8 | "The memory still burned—his sheets" | | 9 | "He didn't smile" | | 10 | "The amber iris—his left eye—caught" | | 11 | "The right eye, the demonic" | | 12 | "Rain had begun to bead" | | 13 | "Demons didn't shiver." | | 14 | "They didn't fidget." | | 15 | "Ptolemy materialized at her ankles," | | 16 | "The cat's growl was low," | | 17 | "Animals always knew." | | 18 | "She gripped the doorframe with" | | 19 | "A broken bottle of Irn-Bru" |
| | ratio | 0.8 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 90 | | matches | | 0 | "Even when the woman didn't" | | 1 | "Now, Lucien's jaw worked." |
| | ratio | 0.022 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 8 | | matches | | 0 | "The third deadbolt clicked home with a solid thunk that usually settled Rory's nerves like sediment in a wine glass, but the knocking—three sharp, authoritative…" | | 1 | "At five-eleven, he wasn't towering, but he occupied space differently than humans did, as though gravity owed him a favor." | | 2 | "His gaze lingered on a scroll unspooling across the radiator—Avarosian script, she realized with a jolt, the same script he'd claimed was tattooed into the lini…" | | 3 | "He respected boundaries here, in this shrine to knowledge that could unmake him." | | 4 | "The Lucien who had quoted Welsh poetry to her in bed—*Nid cariad mohono, ond cythraul*—laughing at her shock that the French fixer spoke her grandmother's tongu…" | | 5 | "But when he touched her, it was with the pad of his thumb against the crescent scar on her left wrist, tracing the white line with a reverence that made her bre…" | | 6 | "But his mouth found hers with a gentleness that contradicted every weapon he carried, every lie he'd told in his thirty-two years of half-breathing." | | 7 | "His hand slid from her wrist to her waist, spanning her ribs with a possession that didn't demand but offered shelter." |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory said, the words too loud in the small space" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Lucien whispered (whisper)" |
| | dialogueSentences | 30 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.167 | | effectiveRatio | 0.067 | |