| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "She looked away [away]" |
| | dialogueSentences | 76 | | tagDensity | 0.224 | | leniency | 0.447 | | rawRatio | 0.118 | | effectiveRatio | 0.053 | |
| 93.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1449 | | 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) | |
| 20.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1449 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | word | "carried the weight" | | count | 1 |
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| | highlights | | 0 | "shattered" | | 1 | "glinting" | | 2 | "pulse" | | 3 | "reminder" | | 4 | "warmth" | | 5 | "calculated" | | 6 | "weight" | | 7 | "charm" | | 8 | "silence" | | 9 | "flicked" | | 10 | "scanning" | | 11 | "whisper" | | 12 | "charged" | | 13 | "could feel" | | 14 | "traced" | | 15 | "tension" | | 16 | "carried the weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 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 | 0 | | narrationSentences | 122 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 180 | | 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 | 1 | | markdownWords | 1 | | totalWords | 1444 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1053 | | uniqueNames | 9 | | maxNameDensity | 1.8 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 19 | | Raven | 2 | | Nest | 2 | | Blackwood | 1 | | Silas | 16 | | Cardiff | 2 | | London | 1 | | Carter | 1 | | Like | 3 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Blackwood" | | 4 | "Silas" | | 5 | "Carter" | | 6 | "Like" |
| | places | | | globalScore | 0.598 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | 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 | 1444 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 180 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 18.75 | | std | 17.56 | | cv | 0.937 | | sampleLengths | | 0 | 51 | | 1 | 9 | | 2 | 53 | | 3 | 18 | | 4 | 13 | | 5 | 76 | | 6 | 29 | | 7 | 6 | | 8 | 19 | | 9 | 13 | | 10 | 40 | | 11 | 3 | | 12 | 13 | | 13 | 80 | | 14 | 8 | | 15 | 1 | | 16 | 2 | | 17 | 66 | | 18 | 11 | | 19 | 1 | | 20 | 24 | | 21 | 5 | | 22 | 18 | | 23 | 10 | | 24 | 31 | | 25 | 55 | | 26 | 7 | | 27 | 12 | | 28 | 2 | | 29 | 21 | | 30 | 7 | | 31 | 2 | | 32 | 23 | | 33 | 14 | | 34 | 11 | | 35 | 11 | | 36 | 4 | | 37 | 19 | | 38 | 2 | | 39 | 14 | | 40 | 9 | | 41 | 55 | | 42 | 10 | | 43 | 37 | | 44 | 8 | | 45 | 4 | | 46 | 15 | | 47 | 10 | | 48 | 26 | | 49 | 5 |
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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 | 3 | | totalVerbs | 201 | | matches | | 0 | "wasn’t hammering" | | 1 | "was searching" | | 2 | "was deafening" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 180 | | ratio | 0.011 | | matches | | 0 | "The signet ring on his right hand—always there, always a reminder—glinted as he lifted the glass to his lips." | | 1 | "Of the way his scent—cedar and something spiced, something that hadn’t changed—filled her lungs." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1057 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.027436140018921477 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003784295175023652 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 180 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 180 | | mean | 8.02 | | std | 5.65 | | cv | 0.705 | | sampleLengths | | 0 | 12 | | 1 | 22 | | 2 | 17 | | 3 | 9 | | 4 | 22 | | 5 | 3 | | 6 | 4 | | 7 | 24 | | 8 | 10 | | 9 | 8 | | 10 | 5 | | 11 | 8 | | 12 | 13 | | 13 | 8 | | 14 | 23 | | 15 | 13 | | 16 | 19 | | 17 | 8 | | 18 | 4 | | 19 | 1 | | 20 | 16 | | 21 | 6 | | 22 | 8 | | 23 | 11 | | 24 | 5 | | 25 | 8 | | 26 | 12 | | 27 | 13 | | 28 | 10 | | 29 | 5 | | 30 | 3 | | 31 | 8 | | 32 | 5 | | 33 | 23 | | 34 | 9 | | 35 | 10 | | 36 | 24 | | 37 | 9 | | 38 | 4 | | 39 | 1 | | 40 | 8 | | 41 | 1 | | 42 | 2 | | 43 | 14 | | 44 | 25 | | 45 | 6 | | 46 | 15 | | 47 | 6 | | 48 | 5 | | 49 | 6 |
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| 44.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.28888888888888886 | | totalSentences | 180 | | uniqueOpeners | 52 | |
| 60.61% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 110 | | matches | | 0 | "Instead, he reached out, his" | | 1 | "Instead, she turned away, her" |
| | ratio | 0.018 | |
| 96.36% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 110 | | matches | | 0 | "Her fingers twitched around the" | | 1 | "She knew that voice." | | 2 | "she said, setting the bottle" | | 3 | "She turned then, slow, like" | | 4 | "His auburn hair, streaked with" | | 5 | "She didn’t ask what those" | | 6 | "he said, voice low" | | 7 | "She exhaled through her nose," | | 8 | "She gestured vaguely at the" | | 9 | "She swallowed hard, forcing her" | | 10 | "His fingers twitched, like he" | | 11 | "It wasn’t a question." | | 12 | "She looked away, scanning the" | | 13 | "He reached into his pocket," | | 14 | "His voice dropped, rougher now" | | 15 | "She laughed, but there was" | | 16 | "She leaned in, voice a" | | 17 | "She was suddenly, painfully aware" | | 18 | "she asked, softer now" | | 19 | "He didn’t answer." |
| | ratio | 0.309 | |
| 37.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 110 | | matches | | 0 | "The glass shattered against the" | | 1 | "Her fingers twitched around the" | | 2 | "The scent of spilled whiskey" | | 3 | "The voice came from the" | | 4 | "Rory didn’t turn." | | 5 | "She knew that voice." | | 6 | "she said, setting the bottle" | | 7 | "A chuckle, low and knowing." | | 8 | "She turned then, slow, like" | | 9 | "Silas Blackwood leaned against the" | | 10 | "His auburn hair, streaked with" | | 11 | "The signet ring on his" | | 12 | "Hazel, yes, but sharper." | | 13 | "The warmth she remembered had" | | 14 | "Rory barked out a laugh," | | 15 | "Silas set the glass down." | | 16 | "The air between them thickened," | | 17 | "Rory reached for the rag" | | 18 | "The motion gave her something" | | 19 | "She didn’t ask what those" |
| | ratio | 0.845 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 4 | | matches | | 0 | "The warmth she remembered had been replaced by something calculated, something that made her skin prickle." | | 1 | "She exhaled through her nose, a sound that was half laugh, half frustration." | | 2 | "Silas’s gaze flicked to the scar on her left wrist, the crescent moon of pale skin that stood out against her olive tone." | | 3 | "Of the way his scent—cedar and something spiced, something that hadn’t changed—filled her lungs." |
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| 7.35% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, voice low" | | 1 | "She gestured, voice rising" | | 2 | "she said, voice trembling" | | 3 | "She shook, her black hair swinging with the motion" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 76 | | tagDensity | 0.092 | | leniency | 0.184 | | rawRatio | 0 | | effectiveRatio | 0 | |