| 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 | |
| 76.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1486 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | adverb | "barely above a whisper" | | count | 1 |
| | 6 | |
| | highlights | | 0 | "lightly" | | 1 | "very" | | 2 | "suddenly" | | 3 | "perfectly" | | 4 | "softly" | | 5 | "barely above a whisper" | | 6 | "carefully" |
| |
| 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) | |
| 56.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1486 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "down her spine" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | |
| | highlights | | 0 | "intensity" | | 1 | "charged" | | 2 | "reminder" | | 3 | "down her spine" | | 4 | "traced" | | 5 | "warmth" | | 6 | "scanned" | | 7 | "could feel" | | 8 | "whisper" | | 9 | "constructed" |
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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 | 97 | | matches | (empty) | |
| 83.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 97 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1481 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 5 | | matches | | 0 | "You look damp, Carter, Lucien said." | | 1 | "Watch me, he murmured." | | 2 | "You left without saying goodbye, Lucien said, his tone shifting from playful to something heavier, something weighted wi…" | | 3 | "You look tired, Rory, he said, his voice dropping an octave, losing its sharp edge entirely." | | 4 | "Every single day, Carter, he murmured, closing the remaining inch of space between them until her chest brushed against …" |
| |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1451 | | uniqueNames | 15 | | maxNameDensity | 0.76 | | worstName | "You" | | maxWindowNameDensity | 2.5 | | worstWindowName | "You" | | discoveredNames | | East | 2 | | London | 3 | | Brick | 2 | | Lane | 2 | | Carter | 3 | | Lucien | 9 | | French-accented | 1 | | Eva | 3 | | Rory | 9 | | Cardiff | 2 | | Frenchman | 1 | | Soho | 1 | | Avaros | 1 | | Marseille | 2 | | You | 11 |
| | persons | | 0 | "Carter" | | 1 | "Lucien" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "You" |
| | places | | 0 | "East" | | 1 | "London" | | 2 | "Brick" | | 3 | "Lane" | | 4 | "Cardiff" | | 5 | "Soho" | | 6 | "Avaros" | | 7 | "Marseille" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | 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 | 1481 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 40.03 | | std | 24.24 | | cv | 0.606 | | sampleLengths | | 0 | 74 | | 1 | 31 | | 2 | 45 | | 3 | 23 | | 4 | 59 | | 5 | 29 | | 6 | 36 | | 7 | 7 | | 8 | 33 | | 9 | 80 | | 10 | 34 | | 11 | 55 | | 12 | 4 | | 13 | 89 | | 14 | 39 | | 15 | 26 | | 16 | 53 | | 17 | 50 | | 18 | 6 | | 19 | 74 | | 20 | 74 | | 21 | 35 | | 22 | 22 | | 23 | 9 | | 24 | 78 | | 25 | 21 | | 26 | 4 | | 27 | 61 | | 28 | 6 | | 29 | 56 | | 30 | 23 | | 31 | 25 | | 32 | 50 | | 33 | 30 | | 34 | 20 | | 35 | 39 | | 36 | 81 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 97 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 248 | | matches | | 0 | "was waiting" | | 1 | "were looking" |
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| 25.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 97 | | ratio | 0.041 | | matches | | 0 | "His heterochromatic gaze—one amber eye, one pitch-black—pinned her in place with the practiced intensity of a man who rarely heard the word no." | | 1 | "He didn't step aside; he simply smiled, a slow, curving motion of his mouth that crinkled the corners of his eyes, and stepped right past her into the cramped confines of the flat." | | 2 | "But she also wanted—god help her—to close her hand in the lapel of his shirt and pull him down until his mouth found hers." | | 3 | "Her hands found their way up his chest, gripping the lapels of his shirt, her fingers curling into the fabric as the world outside the Brick Lane flat—the rain, the syndicate, the ghosts of Cardiff and Marseille—faded into nothing at all." |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 952 | | adjectiveStacks | 3 | | stackExamples | | 0 | "pitch-black-pinned her" | | 1 | "small crescent-shaped scar" | | 2 | "damp, soot-stained stairwells" |
| | adverbCount | 33 | | adverbRatio | 0.03466386554621849 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01365546218487395 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 15.27 | | std | 9.67 | | cv | 0.633 | | sampleLengths | | 0 | 21 | | 1 | 25 | | 2 | 28 | | 3 | 6 | | 4 | 25 | | 5 | 22 | | 6 | 23 | | 7 | 6 | | 8 | 17 | | 9 | 16 | | 10 | 19 | | 11 | 24 | | 12 | 6 | | 13 | 23 | | 14 | 7 | | 15 | 14 | | 16 | 15 | | 17 | 7 | | 18 | 33 | | 19 | 19 | | 20 | 28 | | 21 | 33 | | 22 | 11 | | 23 | 5 | | 24 | 9 | | 25 | 9 | | 26 | 5 | | 27 | 15 | | 28 | 21 | | 29 | 5 | | 30 | 2 | | 31 | 7 | | 32 | 4 | | 33 | 19 | | 34 | 23 | | 35 | 47 | | 36 | 12 | | 37 | 27 | | 38 | 26 | | 39 | 26 | | 40 | 13 | | 41 | 14 | | 42 | 3 | | 43 | 15 | | 44 | 5 | | 45 | 27 | | 46 | 6 | | 47 | 2 | | 48 | 24 | | 49 | 19 |
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| 64.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4329896907216495 | | totalSentences | 97 | | uniqueOpeners | 42 | |
| 71.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 93 | | matches | | 0 | "Then she saw the charcoal" | | 1 | "Especially not a Frenchman with" |
| | ratio | 0.022 | |
| 22.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 93 | | matches | | 0 | "His heterochromatic gaze—one amber eye," | | 1 | "You look damp, Carter, Lucien" | | 2 | "His voice was low, French-accented," | | 3 | "Her left hand tightened on" | | 4 | "she asked, her voice dropping" | | 5 | "It is my business to" | | 6 | "He didn't step aside; he" | | 7 | "You have refined your defenses," | | 8 | "I’m not hiding from anyone." | | 9 | "You can't just track me" | | 10 | "He unbuttoned his charcoal jacket" | | 11 | "You left without saying goodbye," | | 12 | "I left because I’m allergic" | | 13 | "You knew about the shipment" | | 14 | "You used me as a" | | 15 | "I used you?" | | 16 | "I kept you alive, Rory." | | 17 | "I can take care of" | | 18 | "He closed the distance between" | | 19 | "His gaze dropped to her" |
| | ratio | 0.495 | |
| 99.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 93 | | matches | | 0 | "The third deadbolt always stuck," | | 1 | "Rory yanked the door open," | | 2 | "The grey drizzle of East" | | 3 | "Lucien stood on the narrow" | | 4 | "His heterochromatic gaze—one amber eye," | | 5 | "You look damp, Carter, Lucien" | | 6 | "His voice was low, French-accented," | | 7 | "Rory stared at him, the" | | 8 | "Her left hand tightened on" | | 9 | "she asked, her voice dropping" | | 10 | "It is my business to" | | 11 | "He didn't step aside; he" | | 12 | "Eva’s place was, as always," | | 13 | "A fat tabby cat uncurled" | | 14 | "Lucien bypassed the mess with" | | 15 | "You have refined your defenses," | | 16 | "I’m not hiding from anyone." | | 17 | "Rory dumped the delivery box" | | 18 | "You can't just track me" | | 19 | "He unbuttoned his charcoal jacket" |
| | ratio | 0.72 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 5 | | totalSentences | 93 | | matches | | 0 | "Before she walked out of" | | 1 | "If I had told you" | | 2 | "Because of us." | | 3 | "If I let you stay," | | 4 | "Before she could answer, before" |
| | ratio | 0.054 | |
| 46.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 8 | | matches | | 0 | "she asked, her voice dropping into that cool, level register she reserved for difficult clients and men who thought they could outsmart her." | | 1 | "He didn't step aside; he simply smiled, a slow, curving motion of his mouth that crinkled the corners of his eyes, and stepped right past her into the cramped c…" | | 2 | "There was a time, not so very long ago, when she would have crossed the room to help him with those buttons, when the sight of him in a dimly lit room meant hou…" | | 3 | "His gaze dropped to her mouth, lingering for a fraction of a second before rising back to her eyes." | | 4 | "You look tired, Rory, he said, his voice dropping an octave, losing its sharp edge entirely." | | 5 | "He smiled faintly, though there was no humor in it now, only that fierce, possessive intensity that had drawn her to him in the first place." | | 6 | "Lucien’s mouth curved into a slow, knowing smile, his gaze dropping briefly to her lips before meeting her eyes again." | | 7 | "Talking, he repeated, his hand sliding down to rest against the small of her back, pulling her flush against him." |
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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 | |