| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "he said quietly [quietly]" |
| | dialogueSentences | 71 | | tagDensity | 0.366 | | leniency | 0.732 | | rawRatio | 0.077 | | effectiveRatio | 0.056 | |
| 78.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1425 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "lightly" | | 1 | "very" | | 2 | "carefully" | | 3 | "slowly" | | 4 | "slightly" |
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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) | |
| 89.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1425 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "flicker" | | 1 | "profound" | | 2 | "silence" |
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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 | 102 | | matches | (empty) | |
| 86.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "began to" | | 2 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 148 | | 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 | 1415 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1020 | | uniqueNames | 8 | | maxNameDensity | 1.76 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 18 | | Ptolemy | 7 | | Eva | 4 | | Moreau | 1 | | French | 1 | | Lucien | 7 | | Ellis | 1 | | Swallowed | 1 |
| | persons | | 0 | "Rory" | | 1 | "Ptolemy" | | 2 | "Eva" | | 3 | "Moreau" | | 4 | "Lucien" | | 5 | "Ellis" |
| | places | (empty) | | globalScore | 0.618 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | 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 | 1415 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 148 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 18.87 | | std | 23.75 | | cv | 1.259 | | sampleLengths | | 0 | 109 | | 1 | 27 | | 2 | 6 | | 3 | 76 | | 4 | 3 | | 5 | 45 | | 6 | 3 | | 7 | 8 | | 8 | 38 | | 9 | 6 | | 10 | 4 | | 11 | 37 | | 12 | 17 | | 13 | 3 | | 14 | 2 | | 15 | 4 | | 16 | 28 | | 17 | 59 | | 18 | 6 | | 19 | 26 | | 20 | 7 | | 21 | 83 | | 22 | 5 | | 23 | 28 | | 24 | 13 | | 25 | 12 | | 26 | 6 | | 27 | 3 | | 28 | 18 | | 29 | 58 | | 30 | 12 | | 31 | 5 | | 32 | 14 | | 33 | 4 | | 34 | 75 | | 35 | 8 | | 36 | 4 | | 37 | 21 | | 38 | 3 | | 39 | 53 | | 40 | 10 | | 41 | 1 | | 42 | 10 | | 43 | 7 | | 44 | 38 | | 45 | 13 | | 46 | 2 | | 47 | 5 | | 48 | 9 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 102 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 185 | | matches | | 0 | "wasn’t reading" | | 1 | "was holding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 3 | | flaggedSentences | 10 | | totalSentences | 148 | | ratio | 0.068 | | matches | | 0 | "The third deadbolt had just clicked into place when the knock came—two quick raps, a pause, then one more." | | 1 | "The curry house below had started its dinner rush; cumin and chili and hot oil drifted up through the floorboards and mingled with the smell of old paper and the cat’s litter box." | | 2 | "He held his ivory-handled cane in one hand, the tip resting on the top step, and his heterochromatic eyes—one amber, one black as a pupil swallowed whole—fixed on her face with an expression she couldn’t read." | | 3 | "His cane came up—not fast, not threatening, just there, the ivory handle catching the light from the stairwell bulb." | | 4 | "She watched them hit him; watched the small flicker in the amber eye, the way his jaw tightened." | | 5 | "Rory lunged, but Lucien was faster—or rather, his cane was." | | 6 | "He set the codex—a fat, cracked-spine volume Rory had seen on the window seat but hadn’t touched—on the nearest pile and looked around." | | 7 | "She could smell him now—rain and cedar and something underneath, smoke and old books and the faint metallic tang of the blade hidden in his cane." | | 8 | "He laughed—a short, surprised sound, more breath than laugh." | | 9 | "His hand slid into her hair; her back hit the stack of books by the window seat, and a folio toppled to the floor with a slap." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 801 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.031210986267166042 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008739076154806492 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 148 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 148 | | mean | 9.56 | | std | 8.91 | | cv | 0.932 | | sampleLengths | | 0 | 19 | | 1 | 10 | | 2 | 3 | | 3 | 15 | | 4 | 29 | | 5 | 33 | | 6 | 27 | | 7 | 6 | | 8 | 7 | | 9 | 15 | | 10 | 18 | | 11 | 36 | | 12 | 3 | | 13 | 5 | | 14 | 4 | | 15 | 29 | | 16 | 7 | | 17 | 3 | | 18 | 3 | | 19 | 4 | | 20 | 1 | | 21 | 10 | | 22 | 19 | | 23 | 9 | | 24 | 4 | | 25 | 2 | | 26 | 4 | | 27 | 6 | | 28 | 18 | | 29 | 3 | | 30 | 5 | | 31 | 5 | | 32 | 10 | | 33 | 7 | | 34 | 3 | | 35 | 2 | | 36 | 4 | | 37 | 4 | | 38 | 18 | | 39 | 6 | | 40 | 6 | | 41 | 21 | | 42 | 10 | | 43 | 22 | | 44 | 6 | | 45 | 14 | | 46 | 6 | | 47 | 6 | | 48 | 7 | | 49 | 3 |
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| 39.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.2635135135135135 | | totalSentences | 148 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 90 | | matches | | 0 | "Only he called her that." | | 1 | "Then immediately: don’t be cruel." | | 2 | "Then, louder: he deserves cruel." | | 3 | "Just looked, steady and unapologetic," | | 4 | "Then he reached out, slowly," |
| | ratio | 0.056 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 90 | | matches | | 0 | "She crossed the cramped room," | | 1 | "His platinum hair was slicked" | | 2 | "He held his ivory-handled cane" | | 3 | "She tightened her grip on" | | 4 | "His mouth twitched." | | 5 | "She started to close the" | | 6 | "His cane came up—not fast," | | 7 | "She watched them hit him;" | | 8 | "He looked at her." | | 9 | "It came down lightly across" | | 10 | "she said, and stepped back" | | 11 | "He came inside." | | 12 | "He was only five-eleven, but" | | 13 | "He set the codex—a fat," | | 14 | "His gaze caught the open" | | 15 | "Her mother’s family." | | 16 | "He turned to face her" | | 17 | "She wanted to say something" | | 18 | "She had a hundred sharp" | | 19 | "she said finally" |
| | ratio | 0.5 | |
| 21.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 90 | | matches | | 0 | "The third deadbolt had just" | | 1 | "Rory froze with her hand" | | 2 | "Eva never knocked." | | 3 | "Eva texted from the street" | | 4 | "Rory had been at the" | | 5 | "The curry house below had" | | 6 | "She crossed the cramped room," | | 7 | "Lucien Moreau stood in the" | | 8 | "Rain beaded on the shoulders" | | 9 | "His platinum hair was slicked" | | 10 | "He held his ivory-handled cane" | | 11 | "Everyone else got Rory." | | 12 | "The sound of it in" | | 13 | "She tightened her grip on" | | 14 | "His mouth twitched." | | 15 | "She started to close the" | | 16 | "His cane came up—not fast," | | 17 | "The door stopped against it" | | 18 | "The words landed like a" | | 19 | "She watched them hit him;" |
| | ratio | 0.878 | |
| 55.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 90 | | matches | | 0 | "Even Ptolemy stopped purring." |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 1 | | matches | | 0 | "She crossed the cramped room, stepping over a folio on demonic contracts and a mug that had been empty for two days, and pulled the door open." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 2 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "he murmured (murmur)" |
| | dialogueSentences | 71 | | tagDensity | 0.197 | | leniency | 0.394 | | rawRatio | 0.143 | | effectiveRatio | 0.056 | |