| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said quietly [quietly]" | | 1 | "Silas said quietly [quietly]" |
| | dialogueSentences | 72 | | tagDensity | 0.208 | | leniency | 0.417 | | rawRatio | 0.133 | | effectiveRatio | 0.056 | |
| 92.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1255 | | totalAiIsmAdverbs | 2 | | 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) | |
| 36.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1255 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "flickered" | | 1 | "flicked" | | 2 | "unreadable" | | 3 | "weight" | | 4 | "familiar" | | 5 | "eyebrow" | | 6 | "glinting" | | 7 | "stomach" | | 8 | "measured" | | 9 | "could feel" | | 10 | "silence" | | 11 | "reminder" | | 12 | "tension" |
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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 | 122 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 122 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 179 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 14 | | totalWords | 1245 | | ratio | 0.011 | | matches | | 0 | "The Raven’s Nest" | | 1 | "thud" | | 2 | "You want me to step in?" | | 3 | "Western Mail" | | 4 | "good" | | 5 | "why" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 879 | | uniqueNames | 7 | | maxNameDensity | 1.25 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 11 | | Raven | 1 | | Cleared | 1 | | Evan | 10 | | Couldn | 1 | | Shook | 1 | | Silas | 5 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Evan" | | 3 | "Silas" |
| | places | (empty) | | globalScore | 0.874 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | 0 | "as if sensing the weight of her gaze" |
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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 | 1245 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 179 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 82 | | mean | 15.18 | | std | 13.97 | | cv | 0.92 | | sampleLengths | | 0 | 81 | | 1 | 12 | | 2 | 41 | | 3 | 35 | | 4 | 33 | | 5 | 54 | | 6 | 1 | | 7 | 12 | | 8 | 8 | | 9 | 3 | | 10 | 6 | | 11 | 36 | | 12 | 1 | | 13 | 14 | | 14 | 36 | | 15 | 33 | | 16 | 11 | | 17 | 26 | | 18 | 9 | | 19 | 20 | | 20 | 23 | | 21 | 22 | | 22 | 18 | | 23 | 8 | | 24 | 40 | | 25 | 9 | | 26 | 1 | | 27 | 1 | | 28 | 24 | | 29 | 14 | | 30 | 4 | | 31 | 7 | | 32 | 5 | | 33 | 19 | | 34 | 16 | | 35 | 5 | | 36 | 2 | | 37 | 4 | | 38 | 25 | | 39 | 3 | | 40 | 1 | | 41 | 2 | | 42 | 14 | | 43 | 8 | | 44 | 9 | | 45 | 8 | | 46 | 2 | | 47 | 1 | | 48 | 15 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 122 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 173 | | matches | | |
| 47.09% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 179 | | ratio | 0.034 | | matches | | 0 | "Inside, the hum of low conversation wrapped around the scent of aged whiskey and something faintly metallic—maybe the old pipes, maybe the ghosts of past deals struck in the back room." | | 1 | "But she knew that posture—the way his shoulders angled just so, like he was bracing for a blow." | | 2 | "His eyes—still that unsettling pale green—widened." | | 3 | "He wiped his hand on his jeans—nervous habit, that—and stood." | | 4 | "Rory studied him—the lines around his eyes, the way his knuckles whitened around his pint glass." | | 5 | "Wanted to ask him *why*—why he’d ever thought he had the right to touch her, to control her, to make her feel small." |
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| 88.77% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 265 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.052830188679245285 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0037735849056603774 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 179 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 179 | | mean | 6.96 | | std | 6.11 | | cv | 0.879 | | sampleLengths | | 0 | 26 | | 1 | 31 | | 2 | 24 | | 3 | 8 | | 4 | 4 | | 5 | 15 | | 6 | 26 | | 7 | 8 | | 8 | 23 | | 9 | 2 | | 10 | 2 | | 11 | 10 | | 12 | 20 | | 13 | 3 | | 14 | 15 | | 15 | 18 | | 16 | 21 | | 17 | 1 | | 18 | 3 | | 19 | 9 | | 20 | 7 | | 21 | 1 | | 22 | 2 | | 23 | 1 | | 24 | 2 | | 25 | 4 | | 26 | 11 | | 27 | 6 | | 28 | 19 | | 29 | 1 | | 30 | 7 | | 31 | 2 | | 32 | 5 | | 33 | 3 | | 34 | 30 | | 35 | 3 | | 36 | 10 | | 37 | 6 | | 38 | 7 | | 39 | 3 | | 40 | 7 | | 41 | 11 | | 42 | 11 | | 43 | 10 | | 44 | 5 | | 45 | 4 | | 46 | 5 | | 47 | 8 | | 48 | 9 | | 49 | 3 |
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| 59.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.37988826815642457 | | totalSentences | 179 | | uniqueOpeners | 68 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 102 | | matches | | 0 | "Then she froze." | | 1 | "Too much like the past." | | 2 | "Just stared, cataloguing the changes:" | | 3 | "Just stared at the rings" | | 4 | "Just nodded, once." | | 5 | "Just nodded, his hazel eyes" | | 6 | "Somewhere in the distance, a" |
| | ratio | 0.069 | |
| 59.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 102 | | matches | | 0 | "She shook the rain from" | | 1 | "She tapped her fingers against" | | 2 | "He set a tumbler in" | | 3 | "Her gaze flicked to the" | | 4 | "Her breath hitched." | | 5 | "His eyes—still that unsettling pale" | | 6 | "She didn’t answer." | | 7 | "Her stomach twisted." | | 8 | "He wiped his hand on" | | 9 | "His voice cracked" | | 10 | "His knuckles were scarred, his" | | 11 | "His voice was low, measured" | | 12 | "He didn’t move, didn’t take" | | 13 | "He cut himself off, rubbed" | | 14 | "She set the glass down" | | 15 | "Her fingers curled into her" | | 16 | "He opened his mouth." | | 17 | "He shifted, uncomfortable" | | 18 | "She didn’t answer." | | 19 | "It wasn’t a question." |
| | ratio | 0.402 | |
| 58.04% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 102 | | matches | | 0 | "The green neon raven flickered" | | 1 | "She shook the rain from" | | 2 | "Silas didn’t look up from" | | 3 | "She tapped her fingers against" | | 4 | "A ghost of a smile" | | 5 | "He set a tumbler in" | | 6 | "Rory wrapped her hand around" | | 7 | "Her gaze flicked to the" | | 8 | "A man sat three stools" | | 9 | "The years had filled him" | | 10 | "Her breath hitched." | | 11 | "The glass in her hand" | | 12 | "Silas followed her stare, his" | | 13 | "A stupid, obvious one." | | 14 | "Evan turned then, as if" | | 15 | "His eyes—still that unsettling pale" | | 16 | "The pint glass slipped from" | | 17 | "The name sounded wrong in" | | 18 | "She didn’t answer." | | 19 | "Her stomach twisted." |
| | ratio | 0.804 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "She tapped, restless" | | 1 | "He shifted, uncomfortable" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 72 | | tagDensity | 0.028 | | leniency | 0.056 | | rawRatio | 0 | | effectiveRatio | 0 | |