| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "He moved further [further]" | | 1 | "He stepped back [back]" |
| | dialogueSentences | 60 | | tagDensity | 0.317 | | leniency | 0.633 | | rawRatio | 0.105 | | effectiveRatio | 0.067 | |
| 79.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1197 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "lightly" | | 2 | "sharply" |
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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) | |
| 41.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1197 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pristine" | | 1 | "silence" | | 2 | "charged" | | 3 | "tinged" | | 4 | "weight" | | 5 | "whisper" | | 6 | "coded" | | 7 | "etched" | | 8 | "shattered" | | 9 | "flickered" | | 10 | "pulse" | | 11 | "traced" |
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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 | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 14 | | markdownWords | 19 | | totalWords | 1180 | | ratio | 0.016 | | matches | | 0 | "tap, tap" | | 1 | "want" | | 2 | "gone" | | 3 | "Something" | | 4 | "know" | | 5 | "you" | | 6 | "him" | | 7 | "dare" | | 8 | "sense" | | 9 | "us" | | 10 | "protect" | | 11 | "controlled" | | 12 | "This is where you began." | | 13 | "praying" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 684 | | uniqueNames | 7 | | maxNameDensity | 0.88 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Carter | 1 | | Moreau | 1 | | French-tinged | 1 | | Ptolemy | 2 | | Lucien | 6 | | Silence | 1 | | Rory | 3 |
| | persons | | 0 | "Carter" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Rory" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 30.51% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.695 | | wordCount | 1180 | | matches | | 0 | "not with magic, but with everything they hadn’t said" | | 1 | "not by steps, but by breath, by the tilt of a chin, by the way her fingers twi" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 121 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 18.73 | | std | 15.61 | | cv | 0.833 | | sampleLengths | | 0 | 56 | | 1 | 5 | | 2 | 60 | | 3 | 11 | | 4 | 29 | | 5 | 14 | | 6 | 20 | | 7 | 33 | | 8 | 39 | | 9 | 6 | | 10 | 19 | | 11 | 8 | | 12 | 22 | | 13 | 27 | | 14 | 47 | | 15 | 21 | | 16 | 35 | | 17 | 8 | | 18 | 16 | | 19 | 7 | | 20 | 49 | | 21 | 7 | | 22 | 14 | | 23 | 8 | | 24 | 18 | | 25 | 16 | | 26 | 35 | | 27 | 6 | | 28 | 22 | | 29 | 47 | | 30 | 10 | | 31 | 16 | | 32 | 6 | | 33 | 20 | | 34 | 33 | | 35 | 20 | | 36 | 2 | | 37 | 19 | | 38 | 2 | | 39 | 15 | | 40 | 56 | | 41 | 10 | | 42 | 5 | | 43 | 6 | | 44 | 56 | | 45 | 1 | | 46 | 11 | | 47 | 9 | | 48 | 23 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 82 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 129 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 121 | | ratio | 0.074 | | matches | | 0 | "The deadbolts were undone—she must have forgotten to relock after bringing up the bin." | | 1 | "He stood there like he’d stepped from a dream she’d tried to forget—tall, immaculate, silhouetted by the dim corridor light." | | 2 | "He glanced around, taking in the stacks of grimoires teetering on coffee tables, the half-burnt candle beside a bowl of cold noodles, the tabby cat—Ptolemy—eyeing him from the back of the sofa with slit-pupil suspicion." | | 3 | "“You hide in it.” He tapped his cane lightly against the floor—a soft *tap, tap*—like he was counting seconds." | | 4 | "“I sent one.” He pulled a small envelope from his inner pocket—aged paper, sealed with a drop of dark wax stamped with a serpent coiled around a dagger." | | 5 | "“I’m not. I’m using *sense*.” He leaned in, just enough that she caught the scent of sandalwood and something older, deeper—sulphur and rain." | | 6 | "She remembered that night—rain slashing sideways, her ribs cracked, Lucien stepping over bodies like they were litter." | | 7 | "The way he’d looked at her afterward—like she’d shattered something in him." | | 8 | "The amber eye flickered with something raw—regret, maybe." |
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| 79.19% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 699 | | adjectiveStacks | 2 | | stackExamples | | 0 | "low, French-tinged voice" | | 1 | "small crescent-shaped scar" |
| | adverbCount | 35 | | adverbRatio | 0.05007153075822604 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008583690987124463 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 9.75 | | std | 8.25 | | cv | 0.846 | | sampleLengths | | 0 | 19 | | 1 | 18 | | 2 | 14 | | 3 | 5 | | 4 | 5 | | 5 | 20 | | 6 | 2 | | 7 | 22 | | 8 | 16 | | 9 | 11 | | 10 | 7 | | 11 | 3 | | 12 | 3 | | 13 | 16 | | 14 | 11 | | 15 | 3 | | 16 | 10 | | 17 | 10 | | 18 | 20 | | 19 | 13 | | 20 | 35 | | 21 | 4 | | 22 | 6 | | 23 | 19 | | 24 | 3 | | 25 | 5 | | 26 | 6 | | 27 | 8 | | 28 | 8 | | 29 | 6 | | 30 | 21 | | 31 | 16 | | 32 | 31 | | 33 | 4 | | 34 | 4 | | 35 | 13 | | 36 | 28 | | 37 | 7 | | 38 | 4 | | 39 | 4 | | 40 | 7 | | 41 | 9 | | 42 | 2 | | 43 | 5 | | 44 | 21 | | 45 | 6 | | 46 | 13 | | 47 | 9 | | 48 | 7 | | 49 | 5 |
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| 41.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.30578512396694213 | | totalSentences | 121 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 71 | | matches | | 0 | "Then the door swung open." | | 1 | "Just observation wrapped in that" | | 2 | "Then she reached out." | | 3 | "Then, slowly, he took it." |
| | ratio | 0.056 | |
| 17.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 71 | | matches | | 0 | "He stood there like he’d" | | 1 | "His platinum hair slicked back" | | 2 | "His charcoal suit was pristine," | | 3 | "He stepped forward, easing the" | | 4 | "She crossed her arms, the" | | 5 | "He glanced around, taking in" | | 6 | "He tapped his cane lightly" | | 7 | "She exhaled sharply." | | 8 | "His mismatched eyes locked onto" | | 9 | "She barked a dry laugh" | | 10 | "He moved further in, setting" | | 11 | "She didn’t believe him." | | 12 | "He pulled a small envelope" | | 13 | "Her name, scrawled in his" | | 14 | "He pocketed it again" | | 15 | "He reached into his coat" | | 16 | "He placed it on the" | | 17 | "It hummed faintly, then flared" | | 18 | "His voice dropped" | | 19 | "She looked away, jaw tight." |
| | ratio | 0.507 | |
| 58.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 71 | | matches | | 0 | "The door handle turned with" | | 1 | "Aurora Carter froze halfway through" | | 2 | "The deadbolts were undone—she must" | | 3 | "A quiet curse slipped out." | | 4 | "He stood there like he’d" | | 5 | "His platinum hair slicked back" | | 6 | "His charcoal suit was pristine," | | 7 | "Rory straightened slowly, pulling her" | | 8 | "He stepped forward, easing the" | | 9 | "She crossed her arms, the" | | 10 | "He glanced around, taking in" | | 11 | "He tapped his cane lightly" | | 12 | "She exhaled sharply." | | 13 | "His mismatched eyes locked onto" | | 14 | "She barked a dry laugh" | | 15 | "He moved further in, setting" | | 16 | "She didn’t believe him." | | 17 | "He pulled a small envelope" | | 18 | "Her name, scrawled in his" | | 19 | "Rory stared at it." |
| | ratio | 0.803 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 1 | | matches | | 0 | "The door handle turned with a click that was too smooth, too confident, for any delivery or pestering neighbour." |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "She barked (bark)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 60 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0.4 | | effectiveRatio | 0.067 | |