| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "he finally asked [finally]" | | 1 | "She gestured vaguely [vaguely]" |
| | dialogueSentences | 43 | | tagDensity | 0.395 | | leniency | 0.791 | | rawRatio | 0.118 | | effectiveRatio | 0.093 | |
| 88.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1271 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 25.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1271 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | word | "down her spine" | | count | 1 |
| | 16 | | | 17 | |
| | highlights | | 0 | "rhythmic" | | 1 | "familiar" | | 2 | "gloom" | | 3 | "scanning" | | 4 | "flicker" | | 5 | "footsteps" | | 6 | "silence" | | 7 | "traced" | | 8 | "tension" | | 9 | "weight" | | 10 | "echoed" | | 11 | "scanned" | | 12 | "predator" | | 13 | "potential" | | 14 | "unspoken" | | 15 | "down her spine" | | 16 | "dancing" | | 17 | "grave" |
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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 | 1 | | narrationSentences | 94 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 94 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1263 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 1069 | | uniqueNames | 11 | | maxNameDensity | 0.28 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Miles | 1 | | Davis | 1 | | London | 2 | | Evan | 2 | | Yeats | 1 | | Taff | 1 | | Silas | 2 | | Aurora | 3 |
| | persons | | 0 | "Carter" | | 1 | "Davis" | | 2 | "Evan" | | 3 | "Silas" | | 4 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 18.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 4 | | matches | | 0 | "quite a laugh" | | 1 | "quite hide the tension in his shoulders" | | 2 | "as if reading a fate he didn’t like" | | 3 | "seemed smaller somehow, diminished by the performance" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.792 | | wordCount | 1263 | | matches | | 0 | "not the angry boy or the hardened man, but someone tired, burdened by a regret so deep it had carved gr" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 117 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 26.87 | | std | 20.6 | | cv | 0.767 | | sampleLengths | | 0 | 76 | | 1 | 64 | | 2 | 35 | | 3 | 43 | | 4 | 21 | | 5 | 28 | | 6 | 33 | | 7 | 12 | | 8 | 10 | | 9 | 35 | | 10 | 11 | | 11 | 10 | | 12 | 23 | | 13 | 13 | | 14 | 14 | | 15 | 7 | | 16 | 1 | | 17 | 21 | | 18 | 48 | | 19 | 6 | | 20 | 25 | | 21 | 13 | | 22 | 20 | | 23 | 15 | | 24 | 63 | | 25 | 14 | | 26 | 8 | | 27 | 13 | | 28 | 67 | | 29 | 18 | | 30 | 2 | | 31 | 62 | | 32 | 15 | | 33 | 3 | | 34 | 56 | | 35 | 29 | | 36 | 52 | | 37 | 3 | | 38 | 14 | | 39 | 43 | | 40 | 36 | | 41 | 6 | | 42 | 43 | | 43 | 17 | | 44 | 10 | | 45 | 34 | | 46 | 71 |
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| 86.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 94 | | matches | | 0 | "were scarred" | | 1 | "was gone" | | 2 | "was frustrated" | | 3 | "was, sent" | | 4 | "was gone" |
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| 44.05% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 171 | | matches | | 0 | "was studying" | | 1 | "was cataloging" | | 2 | "was becoming" | | 3 | "was lying" |
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| 94.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 117 | | ratio | 0.017 | | matches | | 0 | "A flicker of something—shock, recognition—passed over his features." | | 1 | "His eyes finally left her face and scanned the bar—the maps on the walls, the black-and-white photos of a London long gone, the hidden door to Silas’s office disguised as a bookshelf." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1076 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.03903345724907063 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.00929368029739777 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 10.79 | | std | 7.1 | | cv | 0.658 | | sampleLengths | | 0 | 17 | | 1 | 15 | | 2 | 21 | | 3 | 23 | | 4 | 15 | | 5 | 10 | | 6 | 18 | | 7 | 13 | | 8 | 8 | | 9 | 9 | | 10 | 8 | | 11 | 17 | | 12 | 1 | | 13 | 11 | | 14 | 3 | | 15 | 13 | | 16 | 16 | | 17 | 3 | | 18 | 18 | | 19 | 9 | | 20 | 12 | | 21 | 7 | | 22 | 8 | | 23 | 13 | | 24 | 12 | | 25 | 10 | | 26 | 2 | | 27 | 7 | | 28 | 3 | | 29 | 7 | | 30 | 19 | | 31 | 9 | | 32 | 11 | | 33 | 10 | | 34 | 11 | | 35 | 12 | | 36 | 13 | | 37 | 9 | | 38 | 5 | | 39 | 7 | | 40 | 1 | | 41 | 5 | | 42 | 6 | | 43 | 10 | | 44 | 15 | | 45 | 28 | | 46 | 5 | | 47 | 6 | | 48 | 17 | | 49 | 7 |
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| 38.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3076923076923077 | | totalSentences | 117 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 55 | | totalSentences | 88 | | matches | | 0 | "He hesitated just inside, his" | | 1 | "His gaze passed over her" | | 2 | "He approached the bar, his" | | 3 | "He didn’t smile." | | 4 | "He slid onto a stool," | | 5 | "His knuckles were scarred now," | | 6 | "Her name sounded foreign in" | | 7 | "Her voice was even, cooler" | | 8 | "She resumed wiping the bar," | | 9 | "he said, his voice a" | | 10 | "It had lost its old," | | 11 | "She nodded toward the green" | | 12 | "he finally asked, watching her" | | 13 | "He said it flatly, a" | | 14 | "She gestured vaguely toward the" | | 15 | "His eyes followed the gesture," | | 16 | "She didn’t elaborate" | | 17 | "He was studying her now," | | 18 | "His eyes traced the line" | | 19 | "He was cataloging the differences." |
| | ratio | 0.625 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 88 | | matches | | 0 | "The air in The Raven’s" | | 1 | "Aurora Carter wiped a damp" | | 2 | "The low hum of a" | | 3 | "Silas was in the back," | | 4 | "The door swung open, slicing" | | 5 | "A man stepped in, shaking" | | 6 | "He hesitated just inside, his" | | 7 | "His gaze passed over her" | | 8 | "A flicker of something—shock, recognition—passed" | | 9 | "Aurora went still, the cloth" | | 10 | "The years fell away in" | | 11 | "The set of his shoulders" | | 12 | "He approached the bar, his" | | 13 | "He didn’t smile." | | 14 | "He slid onto a stool," | | 15 | "His knuckles were scarred now," | | 16 | "Her name sounded foreign in" | | 17 | "Her voice was even, cooler" | | 18 | "She resumed wiping the bar," | | 19 | "he said, his voice a" |
| | ratio | 0.977 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 4 | | matches | | 0 | "He hesitated just inside, his eyes adjusting to the gloom, scanning the room with a slow, deliberate sweep." | | 1 | "His suit was expensive, a sharp, dark wool that didn’t quite hide the tension in his shoulders." | | 2 | "The apologies that got quieter, less frequent, until they stopped altogether." | | 3 | "The image of her mother making polite, strained conversation with him, of him walking away knowing where she was, sent a cold trickle down her spine." |
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| 36.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, his voice a low rumble" | | 1 | "she countered, her tone carefully neutral" | | 2 | "she asked, because the silence was becoming a physical weight" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 43 | | tagDensity | 0.186 | | leniency | 0.372 | | rawRatio | 0.125 | | effectiveRatio | 0.047 | |