| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "her fingers tightening around [around]" |
| | dialogueSentences | 21 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.143 | | effectiveRatio | 0.095 | |
| 93.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 787 | | totalAiIsmAdverbs | 1 | | 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) | |
| 17.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 787 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "carried the weight" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "pulsed" | | 1 | "tracing" | | 2 | "weight" | | 3 | "reminder" | | 4 | "measured" | | 5 | "carried the weight" | | 6 | "tension" | | 7 | "trembled" | | 8 | "familiar" | | 9 | "unreadable" | | 10 | "silence" |
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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 | 0 | | narrationSentences | 45 | | matches | (empty) | |
| 47.62% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 45 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 59 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 780 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 673 | | uniqueNames | 8 | | maxNameDensity | 1.49 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Carter | 1 | | Rory | 9 | | Silas | 10 | | Blackwood | 1 | | Si | 1 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Silas" | | 5 | "Blackwood" | | 6 | "Si" |
| | places | | | globalScore | 0.757 | | windowScore | 0.667 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 1 | | matches | | 0 | "as if studying her, and the bar seemed to hold its breath" |
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| 71.79% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.282 | | wordCount | 780 | | matches | | 0 | "Not just from Evan, but from yourself" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 31.2 | | std | 34.86 | | cv | 1.117 | | sampleLengths | | 0 | 91 | | 1 | 123 | | 2 | 87 | | 3 | 5 | | 4 | 24 | | 5 | 26 | | 6 | 13 | | 7 | 32 | | 8 | 23 | | 9 | 101 | | 10 | 9 | | 11 | 5 | | 12 | 2 | | 13 | 1 | | 14 | 61 | | 15 | 5 | | 16 | 6 | | 17 | 4 | | 18 | 3 | | 19 | 46 | | 20 | 6 | | 21 | 4 | | 22 | 20 | | 23 | 59 | | 24 | 24 |
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| 89.67% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 45 | | matches | | 0 | "were lined" | | 1 | "was called" |
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| 78.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 110 | | matches | | 0 | "was looking" | | 1 | "was thinking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 59 | | ratio | 0.068 | | matches | | 0 | "The walls were lined with old maps and black-and-white photographs—some of them faded, others still sharp enough to make the air thick with the scent of old ink and something else, something sharper, like burnt coffee and the faint metallic tang of old secrets." | | 1 | "Aurora Carter—Rory, as she was called back then—sat at the bar, her fingers tracing the rim of her pint glass." | | 2 | "Silas Blackwood—Si, as he preferred—was leaning against the counter, his hands clasped behind his back, his grey-streaked auburn hair catching the dim light." | | 3 | "The photographs on the wall—some of them of Rory, younger, laughing, others of Silas, older, more serious—flashed in her mind like old film strips." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 683 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.036603221083455345 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007320644216691069 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 59 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 59 | | mean | 13.22 | | std | 9.94 | | cv | 0.752 | | sampleLengths | | 0 | 25 | | 1 | 22 | | 2 | 44 | | 3 | 20 | | 4 | 32 | | 5 | 37 | | 6 | 34 | | 7 | 23 | | 8 | 21 | | 9 | 21 | | 10 | 22 | | 11 | 5 | | 12 | 3 | | 13 | 17 | | 14 | 4 | | 15 | 13 | | 16 | 13 | | 17 | 9 | | 18 | 4 | | 19 | 20 | | 20 | 12 | | 21 | 16 | | 22 | 7 | | 23 | 4 | | 24 | 18 | | 25 | 17 | | 26 | 24 | | 27 | 22 | | 28 | 16 | | 29 | 9 | | 30 | 2 | | 31 | 3 | | 32 | 2 | | 33 | 1 | | 34 | 3 | | 35 | 4 | | 36 | 21 | | 37 | 14 | | 38 | 7 | | 39 | 12 | | 40 | 5 | | 41 | 2 | | 42 | 4 | | 43 | 4 | | 44 | 3 | | 45 | 29 | | 46 | 17 | | 47 | 4 | | 48 | 2 | | 49 | 4 |
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| 40.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3050847457627119 | | totalSentences | 59 | | uniqueOpeners | 18 | |
| 81.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 41 | | matches | | 0 | "Instead, he turned his head" |
| | ratio | 0.024 | |
| 54.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 41 | | matches | | 0 | "She wasn’t the same girl" | | 1 | "She had the same scar" | | 2 | "He had a slight limp," | | 3 | "He didn’t look up as" | | 4 | "She took a sip of" | | 5 | "She set her glass down" | | 6 | "His voice was quiet, but" | | 7 | "She remembered the way he’d" | | 8 | "He knew the answer." | | 9 | "He’d seen her work there" | | 10 | "It was the same Rory," | | 11 | "She’d lost something, and it" | | 12 | "he said at last" | | 13 | "She didn’t deny it." | | 14 | "She took another sip of" | | 15 | "He just watched her, his" | | 16 | "She knew what she’d done." |
| | ratio | 0.415 | |
| 20.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 36 | | totalSentences | 41 | | matches | | 0 | "The Raven’s Nest hummed with" | | 1 | "The neon green sign above" | | 2 | "The walls were lined with" | | 3 | "Aurora Carter—Rory, as she was" | | 4 | "She wasn’t the same girl" | | 5 | "She had the same scar" | | 6 | "Silas Blackwood—Si, as he preferred—was" | | 7 | "He had a slight limp," | | 8 | "The silver signet ring on" | | 9 | "He didn’t look up as" | | 10 | "Rory didn’t flinch." | | 11 | "She took a sip of" | | 12 | "Silas exhaled through his nose," | | 13 | "She set her glass down" | | 14 | "His voice was quiet, but" | | 15 | "Rory cut in, her fingers" | | 16 | "Silas didn’t answer that." | | 17 | "The air between them was" | | 18 | "The photographs on the wall—some" | | 19 | "She remembered the way he’d" |
| | ratio | 0.878 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 41 | | matches | | | ratio | 0.024 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 3 | | matches | | 0 | "The Raven’s Nest hummed with the kind of quiet energy that only comes from people who’ve known better days and are still here, still drinking." | | 1 | "She had the same scar on her left wrist, a small crescent from a childhood accident, but it looked different now, like a reminder of a life that had once been h…" | | 2 | "Silas studied her for a long moment, his gaze flickering over the scar on her wrist, the way her fingers still trembled when she thought no one was looking." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0 | | effectiveRatio | 0 | |