| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.26 | | leniency | 0.52 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1032 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 51.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1032 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "warmth" | | 1 | "flicked" | | 2 | "racing" | | 3 | "silence" | | 4 | "traced" | | 5 | "echoed" | | 6 | "pulse" |
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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 | 110 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 110 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 147 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1015 | | ratio | 0 | | matches | (empty) | |
| 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 | 19 | | wordCount | 746 | | uniqueNames | 6 | | maxNameDensity | 0.8 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | Avaros | 1 | | Brick | 2 | | Lane | 2 | | Lucien | 6 | | Ptolemy | 6 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Ptolemy" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | 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 | 1015 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 147 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 17.2 | | std | 10.69 | | cv | 0.621 | | sampleLengths | | 0 | 37 | | 1 | 45 | | 2 | 11 | | 3 | 37 | | 4 | 15 | | 5 | 34 | | 6 | 7 | | 7 | 11 | | 8 | 11 | | 9 | 25 | | 10 | 24 | | 11 | 19 | | 12 | 6 | | 13 | 9 | | 14 | 10 | | 15 | 23 | | 16 | 13 | | 17 | 9 | | 18 | 18 | | 19 | 32 | | 20 | 12 | | 21 | 16 | | 22 | 6 | | 23 | 24 | | 24 | 11 | | 25 | 13 | | 26 | 18 | | 27 | 9 | | 28 | 8 | | 29 | 46 | | 30 | 13 | | 31 | 12 | | 32 | 29 | | 33 | 13 | | 34 | 20 | | 35 | 12 | | 36 | 12 | | 37 | 7 | | 38 | 16 | | 39 | 51 | | 40 | 18 | | 41 | 12 | | 42 | 12 | | 43 | 13 | | 44 | 14 | | 45 | 13 | | 46 | 11 | | 47 | 4 | | 48 | 29 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 157 | | matches | (empty) | |
| 6.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 147 | | ratio | 0.048 | | matches | | 0 | "His amber eye caught the lamp glow; the black one stayed hidden under that too-straight brow." | | 1 | "Ptolemy’s tail flicked—alert, wary." | | 2 | "He glanced at her reflection in the hallway mirror—shoulder-length black hair, bright-blue eyes, a crescent scar peeking from beneath her sleeve." | | 3 | "A twig snapped underfoot—a candle stand, she’d left it too close to a pile of parchment." | | 4 | "Street sounds of Brick Lane—voices, the hiss of a food stall—pressed in." | | 5 | "He smiled—half, brief." | | 6 | "He bent to the table, unrolled another sheet—a tangle of sigils mapping the undercroft beneath a disused church." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 555 | | adjectiveStacks | 1 | | stackExamples | | 0 | "lower, blue-veined fingers" |
| | adverbCount | 9 | | adverbRatio | 0.016216216216216217 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0018018018018018018 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 147 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 147 | | mean | 6.9 | | std | 4.57 | | cv | 0.661 | | sampleLengths | | 0 | 13 | | 1 | 15 | | 2 | 9 | | 3 | 4 | | 4 | 15 | | 5 | 16 | | 6 | 10 | | 7 | 11 | | 8 | 13 | | 9 | 6 | | 10 | 4 | | 11 | 10 | | 12 | 4 | | 13 | 12 | | 14 | 3 | | 15 | 4 | | 16 | 8 | | 17 | 9 | | 18 | 13 | | 19 | 7 | | 20 | 5 | | 21 | 3 | | 22 | 3 | | 23 | 7 | | 24 | 4 | | 25 | 21 | | 26 | 4 | | 27 | 16 | | 28 | 5 | | 29 | 3 | | 30 | 3 | | 31 | 12 | | 32 | 4 | | 33 | 6 | | 34 | 6 | | 35 | 3 | | 36 | 5 | | 37 | 2 | | 38 | 3 | | 39 | 2 | | 40 | 11 | | 41 | 2 | | 42 | 2 | | 43 | 6 | | 44 | 7 | | 45 | 6 | | 46 | 6 | | 47 | 3 | | 48 | 5 | | 49 | 5 |
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| 54.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3333333333333333 | | totalSentences | 147 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 95 | | matches | | 0 | "She yanked it open." | | 1 | "His amber eye caught the" | | 2 | "He pushed off the frame," | | 3 | "His cane tapped on the" | | 4 | "his voice rippled across half" | | 5 | "She folded her arms." | | 6 | "she shot back" | | 7 | "He straightened, smoothing his suit." | | 8 | "She braced one shoulder against" | | 9 | "He glanced at her reflection" | | 10 | "She leaned forward, heart racing." | | 11 | "He swept his gaze across" | | 12 | "She exhaled, voice low" | | 13 | "He flinched, as if struck." | | 14 | "He’d disappeared two months ago," | | 15 | "she said, stepping back" | | 16 | "He let the door click" | | 17 | "She turned, brushing past him." | | 18 | "He paused, hands folded behind" | | 19 | "His lips pressed into a" |
| | ratio | 0.589 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 95 | | matches | | 0 | "Aurora stood at the threshold" | | 1 | "Ptolemy stretched on the welcome" | | 2 | "A knock rapped the doorframe" | | 3 | "She yanked it open." | | 4 | "Lucien leaned against the jamb," | | 5 | "His amber eye caught the" | | 6 | "The ivory handle of his" | | 7 | "Warmth edged her voice, though" | | 8 | "He pushed off the frame," | | 9 | "His cane tapped on the" | | 10 | "Ptolemy’s tail flicked—alert, wary." | | 11 | "Lucien kneaded the cat’s fur" | | 12 | "Ptolemy closed his eyes." | | 13 | "his voice rippled across half" | | 14 | "She folded her arms." | | 15 | "Books teetered on every surface," | | 16 | "A battered armchair sagged under" | | 17 | "A brass reading lamp cast" | | 18 | "she shot back" | | 19 | "He straightened, smoothing his suit." |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "She exhaled, voice low" |
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| 90.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she challenged (challenge)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 50 | | tagDensity | 0.12 | | leniency | 0.24 | | rawRatio | 0.5 | | effectiveRatio | 0.12 | |