| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.196 | | leniency | 0.392 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1241 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 31.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1241 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "glinting" | | 1 | "pulse" | | 2 | "flicked" | | 3 | "porcelain" | | 4 | "weight" | | 5 | "echoed" | | 6 | "footsteps" | | 7 | "vibrated" | | 8 | "silence" | | 9 | "gleaming" | | 10 | "flickered" | | 11 | "unspoken" | | 12 | "trembled" | | 13 | "throbbed" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "let out a breath" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
|
| | highlights | | 0 | "let out a breath" | | 1 | "clenched her jaw" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 141 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 141 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 182 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1230 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1017 | | uniqueNames | 7 | | maxNameDensity | 0.79 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Aurora | 7 | | Carter | 1 | | Moreau | 1 | | Rory | 1 | | Silas | 2 | | Lucien | 8 | | Thunder | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "Silas" | | 5 | "Lucien" | | 6 | "Thunder" |
| | places | (empty) | | globalScore | 1 | | windowScore | 0.833 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 2 | | matches | | 0 | "as if marking territory" | | 1 | "as if resisting a temptation" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1230 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 182 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 16.4 | | std | 9.25 | | cv | 0.564 | | sampleLengths | | 0 | 31 | | 1 | 7 | | 2 | 35 | | 3 | 28 | | 4 | 30 | | 5 | 13 | | 6 | 7 | | 7 | 10 | | 8 | 6 | | 9 | 24 | | 10 | 6 | | 11 | 7 | | 12 | 14 | | 13 | 12 | | 14 | 13 | | 15 | 8 | | 16 | 10 | | 17 | 35 | | 18 | 8 | | 19 | 23 | | 20 | 28 | | 21 | 23 | | 22 | 4 | | 23 | 11 | | 24 | 18 | | 25 | 8 | | 26 | 13 | | 27 | 25 | | 28 | 12 | | 29 | 27 | | 30 | 26 | | 31 | 28 | | 32 | 22 | | 33 | 16 | | 34 | 8 | | 35 | 12 | | 36 | 13 | | 37 | 9 | | 38 | 21 | | 39 | 5 | | 40 | 12 | | 41 | 8 | | 42 | 18 | | 43 | 5 | | 44 | 13 | | 45 | 12 | | 46 | 12 | | 47 | 9 | | 48 | 19 | | 49 | 26 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 198 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 182 | | ratio | 0.011 | | matches | | 0 | "But then the muffled music from Silas’s bar drifted up through the ceiling—laughter, a bassline she knew too well." | | 1 | "Aurora followed him in a rush of fear and something else—exhilaration." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1028 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.02529182879377432 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0029182879377431907 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 182 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 182 | | mean | 6.76 | | std | 4.08 | | cv | 0.604 | | sampleLengths | | 0 | 11 | | 1 | 13 | | 2 | 7 | | 3 | 4 | | 4 | 3 | | 5 | 15 | | 6 | 20 | | 7 | 12 | | 8 | 10 | | 9 | 6 | | 10 | 5 | | 11 | 10 | | 12 | 9 | | 13 | 6 | | 14 | 13 | | 15 | 4 | | 16 | 3 | | 17 | 6 | | 18 | 4 | | 19 | 2 | | 20 | 4 | | 21 | 12 | | 22 | 12 | | 23 | 6 | | 24 | 7 | | 25 | 9 | | 26 | 5 | | 27 | 6 | | 28 | 6 | | 29 | 9 | | 30 | 4 | | 31 | 4 | | 32 | 4 | | 33 | 7 | | 34 | 3 | | 35 | 13 | | 36 | 14 | | 37 | 6 | | 38 | 2 | | 39 | 8 | | 40 | 7 | | 41 | 14 | | 42 | 2 | | 43 | 2 | | 44 | 14 | | 45 | 9 | | 46 | 3 | | 47 | 3 | | 48 | 8 | | 49 | 12 |
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| 47.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.2802197802197802 | | totalSentences | 182 | | uniqueOpeners | 51 | |
| 52.49% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 127 | | matches | | 0 | "Then a muffled shout." | | 1 | "Then he stalked to the" |
| | ratio | 0.016 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 75 | | totalSentences | 127 | | matches | | 0 | "His silhouette filled the frame," | | 1 | "She sensed every heartbeat in" | | 2 | "She stepped aside." | | 3 | "He removed his gloves, one" | | 4 | "She shut the door with" | | 5 | "Her left wrist itched where" | | 6 | "He surveyed the narrow hallway." | | 7 | "He inhaled, subtle as a" | | 8 | "he said, voice low and" | | 9 | "She crossed her arms." | | 10 | "His foot tapped the floor" | | 11 | "He took a step forward," | | 12 | "She noticed the ivory handle" | | 13 | "He shrugged, one shoulder lifting" | | 14 | "She bit down on a" | | 15 | "He looked at her hands," | | 16 | "She straightened, spine rigid." | | 17 | "Her pulse jumped at how" | | 18 | "She’d forgotten how precise he" | | 19 | "He tilted his head, amber" |
| | ratio | 0.591 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 120 | | totalSentences | 127 | | matches | | 0 | "The door swung wide before" | | 1 | "His silhouette filled the frame," | | 2 | "She sensed every heartbeat in" | | 3 | "Aurora Carter didn’t hesitate." | | 4 | "She stepped aside." | | 5 | "Lucien Moreau entered without a" | | 6 | "He removed his gloves, one" | | 7 | "She shut the door with" | | 8 | "Her left wrist itched where" | | 9 | "The scar itched more than" | | 10 | "He surveyed the narrow hallway." | | 11 | "A battered delivery box lay" | | 12 | "A curl of curry-scented steam" | | 13 | "He inhaled, subtle as a" | | 14 | "he said, voice low and" | | 15 | "She crossed her arms." | | 16 | "His foot tapped the floor" | | 17 | "He took a step forward," | | 18 | "She noticed the ivory handle" | | 19 | "He shrugged, one shoulder lifting" |
| | ratio | 0.945 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 127 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, voice low and smooth" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.078 | | leniency | 0.157 | | rawRatio | 0 | | effectiveRatio | 0 | |