| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "Aurora said softly [softly]" |
| | dialogueSentences | 40 | | tagDensity | 0.425 | | leniency | 0.85 | | rawRatio | 0.059 | | effectiveRatio | 0.05 | |
| 72.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1253 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "suddenly" | | 3 | "really" | | 4 | "softly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 12.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1253 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "electric" | | 1 | "vibrated" | | 2 | "weight" | | 3 | "familiar" | | 4 | "silence" | | 5 | "scanned" | | 6 | "tension" | | 7 | "glinting" | | 8 | "gloom" | | 9 | "clandestine" | | 10 | "tracing" | | 11 | "variable" | | 12 | "calculated" | | 13 | "unspoken" | | 14 | "warmth" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1252 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1043 | | uniqueNames | 13 | | maxNameDensity | 0.96 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 1 | | Aurora | 7 | | Raven | 1 | | Nest | 1 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Tuesday | 1 | | Cardiff | 1 | | Evan | 1 | | London | 1 | | Prague | 1 | | Silas | 10 |
| | persons | | 0 | "Aurora" | | 1 | "Raven" | | 2 | "Yu-Fei" | | 3 | "Evan" | | 4 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "London" | | 3 | "Prague" |
| | globalScore | 1 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 4 | | matches | | 0 | "paper that seemed to seep out of the walls" | | 1 | "looked like they knew where the bodies we" | | 2 | "seemed louder now" | | 3 | "quite reach his eyes" |
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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 | 1252 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 29.81 | | std | 25.35 | | cv | 0.85 | | sampleLengths | | 0 | 105 | | 1 | 37 | | 2 | 66 | | 3 | 66 | | 4 | 10 | | 5 | 1 | | 6 | 66 | | 7 | 58 | | 8 | 15 | | 9 | 38 | | 10 | 8 | | 11 | 79 | | 12 | 18 | | 13 | 31 | | 14 | 15 | | 15 | 4 | | 16 | 50 | | 17 | 17 | | 18 | 18 | | 19 | 16 | | 20 | 26 | | 21 | 15 | | 22 | 54 | | 23 | 9 | | 24 | 24 | | 25 | 23 | | 26 | 35 | | 27 | 22 | | 28 | 7 | | 29 | 52 | | 30 | 10 | | 31 | 7 | | 32 | 2 | | 33 | 41 | | 34 | 34 | | 35 | 22 | | 36 | 4 | | 37 | 35 | | 38 | 4 | | 39 | 14 | | 40 | 4 | | 41 | 90 |
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| 93.02% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 86 | | matches | | 0 | "been unlocked" | | 1 | "were buried" | | 2 | "been ruined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 172 | | matches | | |
| 90.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 109 | | ratio | 0.018 | | matches | | 0 | "The smell hit her first—stale ale, lemon polish, and the underlying scent of old paper that seemed to seep out of the walls." | | 1 | "The movement was stiff; he favored his left leg, the knee that had been ruined in Prague years ago, a limp she had only heard rumors of until now." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1053 | | adjectiveStacks | 2 | | stackExamples | | 0 | "heavy, pressing against her" | | 1 | "small crescent-shaped scar" |
| | adverbCount | 42 | | adverbRatio | 0.039886039886039885 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008547008547008548 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 11.49 | | std | 8.46 | | cv | 0.737 | | sampleLengths | | 0 | 32 | | 1 | 27 | | 2 | 23 | | 3 | 23 | | 4 | 6 | | 5 | 31 | | 6 | 6 | | 7 | 34 | | 8 | 26 | | 9 | 17 | | 10 | 23 | | 11 | 14 | | 12 | 12 | | 13 | 2 | | 14 | 8 | | 15 | 1 | | 16 | 5 | | 17 | 39 | | 18 | 22 | | 19 | 13 | | 20 | 11 | | 21 | 5 | | 22 | 29 | | 23 | 3 | | 24 | 12 | | 25 | 9 | | 26 | 14 | | 27 | 7 | | 28 | 8 | | 29 | 4 | | 30 | 4 | | 31 | 8 | | 32 | 16 | | 33 | 17 | | 34 | 15 | | 35 | 23 | | 36 | 10 | | 37 | 8 | | 38 | 5 | | 39 | 15 | | 40 | 11 | | 41 | 5 | | 42 | 6 | | 43 | 4 | | 44 | 4 | | 45 | 12 | | 46 | 6 | | 47 | 3 | | 48 | 5 | | 49 | 21 |
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| 38.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.23853211009174313 | | totalSentences | 109 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 76 | | matches | | 0 | "She pushed open the door" | | 1 | "She adjusted the thermal bag" | | 2 | "She wasn't supposed to be" | | 3 | "She scanned the room, expecting" | | 4 | "He sat with his back" | | 5 | "His hair was a grey-streaked" | | 6 | "He held a glass of" | | 7 | "It had been five years." | | 8 | "She had assumed he was" | | 9 | "He turned his head slowly," | | 10 | "He set the glass down." | | 11 | "His voice was lower than" | | 12 | "she replied, her voice steadier" | | 13 | "She walked toward the bar," | | 14 | "She set it down on" | | 15 | "She looked at him, really" | | 16 | "He looked older than his" | | 17 | "She pulled her sleeve down" | | 18 | "It was a reflex, a" | | 19 | "she said, the words feeling" |
| | ratio | 0.618 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 76 | | matches | | 0 | "The rain in Soho did" | | 1 | "She pushed open the door" | | 2 | "The smell hit her first—stale" | | 3 | "She adjusted the thermal bag" | | 4 | "She wasn't supposed to be" | | 5 | "The order had been for" | | 6 | "Aurora stepped further into the" | | 7 | "The walls were a patchwork" | | 8 | "She scanned the room, expecting" | | 9 | "He sat with his back" | | 10 | "His hair was a grey-streaked" | | 11 | "He held a glass of" | | 12 | "A silver signet ring caught" | | 13 | "The air in her lungs" | | 14 | "It had been five years." | | 15 | "She had assumed he was" | | 16 | "He turned his head slowly," | | 17 | "He set the glass down." | | 18 | "The movement was stiff; he" | | 19 | "His voice was lower than" |
| | ratio | 0.947 | |
| 65.79% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 76 | | matches | | 0 | "Now she was twenty-five, working" |
| | ratio | 0.013 | |
| 69.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 4 | | matches | | 0 | "The rain in Soho did not fall so much as it hung, a damp suspension that clung to the wool of Aurora’s coat and turned the pavement into a slick, black mirror." | | 1 | "She pushed open the door of The Raven’s Nest, the green neon sign above the entrance buzzing with a low, electric hum that vibrated in her teeth." | | 2 | "The walls were a patchwork of history, covered in yellowed maps of cities she had never visited and black-and-white photographs of men in suits who looked like …" | | 3 | "The street was empty, the city moving in the distance, indifferent to the small reunion that had just taken place in the shadows." |
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| 36.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 3 | | matches | | 0 | "she replied, her voice steadier than she felt" | | 1 | "she said, the words feeling inadequate" | | 2 | "She touched, her thumb tracing the crescent shape" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 2 | | fancyTags | | 0 | "Silas agreed (agree)" | | 1 | "Silas agreed (agree)" |
| | dialogueSentences | 40 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.167 | | effectiveRatio | 0.1 | |