| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 2 | | adverbTags | | 0 | "She stepped back [back]" | | 1 | "He moved around [around]" |
| | dialogueSentences | 51 | | tagDensity | 0.431 | | leniency | 0.863 | | rawRatio | 0.091 | | effectiveRatio | 0.078 | |
| 66.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2094 | | totalAiIsmAdverbs | 14 | | found | | | highlights | | 0 | "carefully" | | 1 | "lightly" | | 2 | "perfectly" | | 3 | "suddenly" | | 4 | "very" | | 5 | "tightly" | | 6 | "slightly" | | 7 | "truly" | | 8 | "really" | | 9 | "gently" | | 10 | "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) | |
| 64.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2094 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | word | "down her spine" | | count | 1 |
| | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "velvet" | | 1 | "pulse" | | 2 | "silence" | | 3 | "shattered" | | 4 | "weight" | | 5 | "flickered" | | 6 | "down her spine" | | 7 | "traced" | | 8 | "tension" | | 9 | "ensuring" | | 10 | "tenderness" | | 11 | "charged" | | 12 | "electric" |
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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 | 1 | | narrationSentences | 117 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 117 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2082 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1301 | | uniqueNames | 14 | | maxNameDensity | 0.85 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 2 | | Lane | 2 | | Eva | 3 | | Moreau | 1 | | French | 1 | | Rory | 11 | | Ptolemy | 5 | | Lucien | 5 | | Ambition | 1 | | Evan | 2 | | London | 1 | | Ice | 1 | | Silence | 1 | | Silas | 1 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Ptolemy" | | 4 | "Lucien" | | 5 | "Evan" | | 6 | "Ice" | | 7 | "Silence" | | 8 | "Silas" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 1 | | matches | | 0 | "as if lending his opinion" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.48 | | wordCount | 2082 | | matches | | 0 | "not forcing his way in, but close enough" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 145 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 41.64 | | std | 24.22 | | cv | 0.582 | | sampleLengths | | 0 | 71 | | 1 | 32 | | 2 | 68 | | 3 | 8 | | 4 | 32 | | 5 | 12 | | 6 | 47 | | 7 | 41 | | 8 | 83 | | 9 | 69 | | 10 | 20 | | 11 | 24 | | 12 | 90 | | 13 | 55 | | 14 | 12 | | 15 | 47 | | 16 | 36 | | 17 | 43 | | 18 | 81 | | 19 | 42 | | 20 | 13 | | 21 | 38 | | 22 | 81 | | 23 | 17 | | 24 | 42 | | 25 | 26 | | 26 | 15 | | 27 | 60 | | 28 | 40 | | 29 | 51 | | 30 | 9 | | 31 | 14 | | 32 | 3 | | 33 | 75 | | 34 | 75 | | 35 | 12 | | 36 | 17 | | 37 | 24 | | 38 | 75 | | 39 | 44 | | 40 | 28 | | 41 | 35 | | 42 | 67 | | 43 | 37 | | 44 | 65 | | 45 | 72 | | 46 | 13 | | 47 | 12 | | 48 | 61 | | 49 | 48 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 212 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 145 | | ratio | 0.062 | | matches | | 0 | "The knock came hard against the wood—three sharp raps that cut through the afternoon hum of Brick Lane traffic and the faint curry spice rising from the restaurant below." | | 1 | "Just tilted his head a fraction, studying the flat beyond her shoulder—the chaos of books and papers, the mug of cold tea abandoned on the arm of the sofa, Ptolemy watching with bored green eyes." | | 2 | "“Still what?” He stepped forward half a pace, not forcing his way in, but close enough that she caught the faint scent of his cologne—cedar and something darker, smoke and old money." | | 3 | "Hurt, though—that was the weight pressing against her ribs." | | 4 | "Something flickered across his face—pain, tightly leashed." | | 5 | "She looked at him—really looked." | | 6 | "His hand rose slowly—telegraphing the move, giving her every chance to pull away—and settled over hers where it rested on his jaw." | | 7 | "She leaned down and kissed him—hesitant first, then deeper when his free hand came up to cradle the back of her head, fingers sliding into her black hair with a tenderness that made her bones ache." | | 8 | "Inside the flat he had once dissected with a single glance, the air had changed—warmer, charged, unfinished monstrous things finally speaking." |
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| 83.68% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1313 | | adjectiveStacks | 1 | | stackExamples | | 0 | "warmer, charged, unfinished monstrous things" |
| | adverbCount | 68 | | adverbRatio | 0.05178979436405179 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.014470677837014471 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 14.36 | | std | 12.57 | | cv | 0.876 | | sampleLengths | | 0 | 29 | | 1 | 22 | | 2 | 20 | | 3 | 13 | | 4 | 2 | | 5 | 17 | | 6 | 13 | | 7 | 14 | | 8 | 11 | | 9 | 22 | | 10 | 8 | | 11 | 8 | | 12 | 21 | | 13 | 11 | | 14 | 9 | | 15 | 3 | | 16 | 3 | | 17 | 35 | | 18 | 9 | | 19 | 8 | | 20 | 10 | | 21 | 12 | | 22 | 11 | | 23 | 32 | | 24 | 51 | | 25 | 8 | | 26 | 1 | | 27 | 24 | | 28 | 2 | | 29 | 4 | | 30 | 30 | | 31 | 19 | | 32 | 1 | | 33 | 20 | | 34 | 4 | | 35 | 26 | | 36 | 12 | | 37 | 34 | | 38 | 18 | | 39 | 10 | | 40 | 13 | | 41 | 20 | | 42 | 4 | | 43 | 3 | | 44 | 5 | | 45 | 4 | | 46 | 8 | | 47 | 10 | | 48 | 16 | | 49 | 21 |
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| 66.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.43448275862068964 | | totalSentences | 145 | | uniqueOpeners | 63 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 98 | | matches | | 0 | "Just tilted his head a" | | 1 | "Instead she scraped a hand" | | 2 | "Of course he did." | | 3 | "Just quietly devastated, as if" | | 4 | "Then he laughed once, short" |
| | ratio | 0.051 | |
| 81.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 98 | | matches | | 0 | "She set the notes down" | | 1 | "She threw them one by" | | 2 | "he said at last, voice" | | 3 | "He didn’t move." | | 4 | "She hated that he could" | | 5 | "He stepped forward half a" | | 6 | "She almost shut the door" | | 7 | "He set the cane against" | | 8 | "He exhaled, a rare visible" | | 9 | "She turned away, busying herself" | | 10 | "His voice came quieter now," | | 11 | "She hadn’t heard him move," | | 12 | "His height put her at" | | 13 | "She forced her gaze up." | | 14 | "His hand lifted, hovered near" | | 15 | "It sat in the air" | | 16 | "She stepped back fully, putting" | | 17 | "He went very still." | | 18 | "He moved around the sofa" | | 19 | "She searched his face for" |
| | ratio | 0.347 | |
| 72.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 98 | | matches | | 0 | "The knock came hard against" | | 1 | "Rory froze with a stack" | | 2 | "Ptolemy the tabby blinked up" | | 3 | "She set the notes down" | | 4 | "She threw them one by" | | 5 | "Lucien Moreau stood on the" | | 6 | "Charcoal suit cut sharp enough" | | 7 | "Platinum blond hair slicked back" | | 8 | "The ivory-handled cane rested lightly" | | 9 | "he said at last, voice" | | 10 | "Rory’s fingers tightened on the" | | 11 | "He didn’t move." | | 12 | "The words came out clipped" | | 13 | "She hated that he could" | | 14 | "He stepped forward half a" | | 15 | "She almost shut the door" | | 16 | "The cane tapped once against" | | 17 | "Ptolemy stretched, hopped down, and" | | 18 | "Rory folded her arms across" | | 19 | "He set the cane against" |
| | ratio | 0.776 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 98 | | matches | (empty) | | ratio | 0 | |
| 26.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 8 | | matches | | 0 | "The knock came hard against the wood—three sharp raps that cut through the afternoon hum of Brick Lane traffic and the faint curry spice rising from the restaur…" | | 1 | "One amber eye, one black, fixed on her with that unnerving focus that had always made her feel simultaneously seen and cornered." | | 2 | "The cane tapped once against the threshold as he crossed it, elegant as ever, and the door closed behind him with a soft finality that felt heavier than it shou…" | | 3 | "She turned away, busying herself with clearing a space on the cluttered coffee table that would never actually be clear." | | 4 | "She could still taste the last argument: her voice cracking in the hallway above Silas’s bar, his quiet, lethal calm, the way he had lifted a hand as if to touc…" | | 5 | "She leaned down and kissed him—hesitant first, then deeper when his free hand came up to cradle the back of her head, fingers sliding into her black hair with a…" | | 6 | "He tasted of black coffee and the faint metallic edge that clung to old magic." | | 7 | "Ptolemy blinked, unimpressed, and went back to sleep as Rory led Lucien deeper into the clutter of books and unfinished research, toward the small kitchen where…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 1 | | matches | | 0 | "His voice came, closer" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she murmured (murmur)" |
| | dialogueSentences | 51 | | tagDensity | 0.157 | | leniency | 0.314 | | rawRatio | 0.25 | | effectiveRatio | 0.078 | |