| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2458 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "softly" | | 1 | "very" | | 2 | "sharply" | | 3 | "slowly" |
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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) | |
| 83.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2458 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "warmth" | | 1 | "stomach" | | 2 | "silence" | | 3 | "desire" | | 4 | "flickered" | | 5 | "tension" | | 6 | "profound" |
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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 | 2 | | narrationSentences | 268 | | matches | | 0 | "was afraid" | | 1 | "o with love" |
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| 62.90% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 14 | | hedgeCount | 1 | | narrationSentences | 268 | | filterMatches | | 0 | "feel" | | 1 | "know" | | 2 | "hear" | | 3 | "know, decide" | | 4 | "think" |
| | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 268 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2458 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 20 | | matches | | 0 | "You have a name, she said." | | 1 | "That seems fair, he said, though there was no smile in it yet." | | 2 | "You should have texted, she said." | | 3 | "Lucien, she said." | | 4 | "You lied, she said." | | 5 | "Because I made it clear, he said." | | 6 | "You fled Evan, he said." | | 7 | "My favorite thought, he said." | | 8 | "Rory, he said." | | 9 | "You disappeared in the morning, she said." | | 10 | "I wanted to come back, he said." | | 11 | "I can, he said." | | 12 | "You have to leave soon, she said." | | 13 | "Say it, she whispered." | | 14 | "I left because I loved you, he said." | | 15 | "I hate that I missed you, he said." | | 16 | "She has tried before, he said, and failed, and I have made it worse." | | 17 | "Tomorrow, she said." | | 18 | "Yes, Lucien said." | | 19 | "Good, she said softly." |
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| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 102 | | wordCount | 2456 | | uniqueNames | 15 | | maxNameDensity | 1.51 | | worstName | "You" | | maxWindowNameDensity | 4 | | worstWindowName | "You" | | discoveredNames | | Aurora | 18 | | Lucien | 20 | | Moreau | 1 | | Eva | 8 | | London | 1 | | Ptolemy | 4 | | Golden | 1 | | Empress | 1 | | Evan | 4 | | You | 37 | | Brick | 1 | | Lane | 1 | | Avaros | 1 | | Southwark | 1 | | Rory | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Eva" | | 4 | "Ptolemy" | | 5 | "Evan" | | 6 | "You" | | 7 | "Rory" |
| | places | | 0 | "London" | | 1 | "Golden" | | 2 | "Brick" | | 3 | "Lane" | | 4 | "Avaros" | | 5 | "Southwark" |
| | globalScore | 0.747 | | windowScore | 0.333 | |
| 78.57% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 140 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like something stolen from a museu" | | 1 | "as if inviting it to betray him" | | 2 | "sounded like being held" | | 3 | "as if asking permission to hold something fragile" |
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| 37.27% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 1.627 | | wordCount | 2458 | | matches | | 0 | "not to threaten, not to retreat, but to remove his coat fully" | | 1 | "not to retreat, but to remove his coat fully" | | 2 | "not into forgiveness, not yet, but into the beginning of a decision" | | 3 | "not yet, but into the beginning of a decision" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 268 | | matches | | 0 | "learning that crying" | | 1 | "hate that I" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 162 | | mean | 15.17 | | std | 19.08 | | cv | 1.258 | | sampleLengths | | 0 | 27 | | 1 | 93 | | 2 | 4 | | 3 | 83 | | 4 | 6 | | 5 | 2 | | 6 | 10 | | 7 | 31 | | 8 | 4 | | 9 | 4 | | 10 | 9 | | 11 | 21 | | 12 | 6 | | 13 | 57 | | 14 | 4 | | 15 | 15 | | 16 | 13 | | 17 | 3 | | 18 | 58 | | 19 | 4 | | 20 | 7 | | 21 | 3 | | 22 | 4 | | 23 | 5 | | 24 | 55 | | 25 | 5 | | 26 | 2 | | 27 | 4 | | 28 | 17 | | 29 | 4 | | 30 | 20 | | 31 | 9 | | 32 | 5 | | 33 | 3 | | 34 | 25 | | 35 | 38 | | 36 | 3 | | 37 | 12 | | 38 | 39 | | 39 | 6 | | 40 | 4 | | 41 | 12 | | 42 | 11 | | 43 | 95 | | 44 | 6 | | 45 | 6 | | 46 | 3 | | 47 | 1 | | 48 | 22 | | 49 | 3 |
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| 97.41% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 268 | | matches | | 0 | "was tailored" | | 1 | "was slicked" | | 2 | "been caught" | | 3 | "been asked" | | 4 | "were terrified" | | 5 | "being held" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 515 | | matches | | 0 | "were meeting" | | 1 | "was giving" | | 2 | "was looking" | | 3 | "was waiting" | | 4 | "was trying" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 268 | | ratio | 0.004 | | matches | | 0 | "Aurora’s thumb brushed over the crescent scar on his wrist, though it was not his; her gaze lifted from Lucien’s hand to his face." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 593 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.03372681281618887 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003372681281618887 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 268 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 268 | | mean | 9.17 | | std | 8.58 | | cv | 0.936 | | sampleLengths | | 0 | 27 | | 1 | 29 | | 2 | 44 | | 3 | 6 | | 4 | 14 | | 5 | 4 | | 6 | 5 | | 7 | 17 | | 8 | 31 | | 9 | 11 | | 10 | 19 | | 11 | 6 | | 12 | 2 | | 13 | 10 | | 14 | 7 | | 15 | 24 | | 16 | 2 | | 17 | 2 | | 18 | 4 | | 19 | 9 | | 20 | 9 | | 21 | 12 | | 22 | 1 | | 23 | 5 | | 24 | 15 | | 25 | 5 | | 26 | 21 | | 27 | 5 | | 28 | 11 | | 29 | 4 | | 30 | 15 | | 31 | 13 | | 32 | 3 | | 33 | 25 | | 34 | 33 | | 35 | 4 | | 36 | 7 | | 37 | 3 | | 38 | 4 | | 39 | 5 | | 40 | 17 | | 41 | 26 | | 42 | 3 | | 43 | 9 | | 44 | 5 | | 45 | 2 | | 46 | 4 | | 47 | 14 | | 48 | 3 | | 49 | 4 |
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| 43.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.2126865671641791 | | totalSentences | 268 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 229 | | matches | | 0 | "Then why do you keep" | | 1 | "Instead, she stepped back." | | 2 | "Then why are you?" | | 3 | "Almost a smile." | | 4 | "Then what was I?" | | 5 | "Instead, Ptolemy leapt from the" | | 6 | "Then I talk." |
| | ratio | 0.031 | |
| 12.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 119 | | totalSentences | 229 | | matches | | 0 | "He stood in Eva’s narrow" | | 1 | "His charcoal suit was tailored" | | 2 | "His platinum hair was slicked" | | 3 | "His heterochromatic eyes looked at" | | 4 | "You have a name, she" | | 5 | "He looked past her into" | | 6 | "You came here unannounced." | | 7 | "I came here because I" | | 8 | "I suppose it is not." | | 9 | "He waited, as if he" | | 10 | "He had a coat over" | | 11 | "She wanted him to leave." | | 12 | "She wanted him to say" | | 13 | "He set his cane against" | | 14 | "You’re wearing your apron." | | 15 | "I finished a shift an" | | 16 | "I know where you work." | | 17 | "She took off the apron," | | 18 | "He always saw things he" | | 19 | "He looked at the chair" |
| | ratio | 0.52 | |
| 73.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 177 | | totalSentences | 229 | | matches | | 0 | "The door opened onto the" | | 1 | "He stood in Eva’s narrow" | | 2 | "His charcoal suit was tailored" | | 3 | "His platinum hair was slicked" | | 4 | "His heterochromatic eyes looked at" | | 5 | "Rory, he began softly." | | 6 | "Aurora did not step back." | | 7 | "The door stayed half open," | | 8 | "The floorboards smelled of fried" | | 9 | "A stack of paperbacks leaned" | | 10 | "You have a name, she" | | 11 | "He looked past her into" | | 12 | "You came here unannounced." | | 13 | "I came here because I" | | 14 | "Aurora laughed, but it was" | | 15 | "That is not the same" | | 16 | "I suppose it is not." | | 17 | "He waited, as if he" | | 18 | "Rainwater beaded on his sleeve." | | 19 | "He had a coat over" |
| | ratio | 0.773 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 11 | | totalSentences | 229 | | matches | | 0 | "If you drip on her" | | 1 | "If I knew where you" | | 2 | "Because I made it clear," | | 3 | "Because you did." | | 4 | "Because you heard it as" | | 5 | "If I left, you might" | | 6 | "Because you looked at me" | | 7 | "To warn you." | | 8 | "Now that I know, I" | | 9 | "Because I’m not finished." | | 10 | "Because I’m not finished with" |
| | ratio | 0.048 | |
| 9.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 86 | | technicalSentenceCount | 16 | | matches | | 0 | "He stood in Eva’s narrow landing under the too-bright bulb, one hand resting on the head of an ivory cane that looked like something stolen from a museum displa…" | | 1 | "His charcoal suit was tailored to make ordinary men feel like apologies, and though London had spent the evening trying to ruin it, Lucien had emerged from the …" | | 2 | "Behind her, Eva’s flat was a disaster of books and scrolls, every surface colonized by research notes, cold tea, and the particular chaos of a woman who believe…" | | 3 | "A stack of paperbacks leaned against the bookshelf as though they had been waiting for an excuse to fall." | | 4 | "He set his cane against the small kitchen table and began removing his coat as though they were meeting for tea and not for the slow excavation of a wound neith…" | | 5 | "He looked at the chair opposite him as if inviting it to betray him." | | 6 | "Lucien turned his hands on the table, careful, as though they might contain damage." | | 7 | "He had only looked at her sometimes, in the quiet seconds after a lie collapsed, as if he could map the damage by moonlight." | | 8 | "Lucien looked down at his hands, long-fingered, steady, useless in the way of men who fixed problems for other people and called their own emotions bad investme…" | | 9 | "Ptolemy jumped onto the counter, knocked a pen off the edge with one deliberate paw, and watched them both with the superior indifference of a creature who had …" | | 10 | "For the first time, his composure flickered, showing the seam underneath, the half-demon inheritance that kept him too aware, too controlled, too aware that con…" | | 11 | "Aurora noticed where he was looking, noticed his gaze move over the small crescent scar as if he had once kissed it and remembered the precise location." | | 12 | "He rolled his sleeves down with deliberate care, exposing the pale wrists that had held hers only months ago, when she had been too shaken by Evan’s memory to m…" | | 13 | "His mouth was warm when she kissed him, and he made a quiet sound against her lips as though he had been starving and only just found the table." | | 14 | "They were only two people who had spent too long translating the same need into different languages, one human, one half-demon, neither fluent until now." | | 15 | "He took one of her hands in both of his, his fingers lacing slowly through hers, as if asking permission to hold something fragile." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |