| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said instead [instead]" |
| | dialogueSentences | 27 | | tagDensity | 0.148 | | leniency | 0.296 | | rawRatio | 0.25 | | effectiveRatio | 0.074 | |
| 92.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 665 | | 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) | |
| 24.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 665 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "scanning" | | 1 | "pulse" | | 2 | "flicker" | | 3 | "methodical" | | 4 | "flicked" | | 5 | "eyebrow" | | 6 | "silence" | | 7 | "flickered" | | 8 | "traced" |
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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 | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 68 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 659 | | ratio | 0.008 | | matches | | 0 | "Why didn’t you come back?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 89.34% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 577 | | uniqueNames | 5 | | maxNameDensity | 1.21 | | worstName | "Evan" | | maxWindowNameDensity | 2 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 3 | | Evan | 7 | | Silas | 4 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "Silas" |
| | places | (empty) | | globalScore | 0.893 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | 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 | 659 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 16.07 | | std | 16.96 | | cv | 1.055 | | sampleLengths | | 0 | 91 | | 1 | 6 | | 2 | 60 | | 3 | 6 | | 4 | 29 | | 5 | 14 | | 6 | 21 | | 7 | 14 | | 8 | 15 | | 9 | 10 | | 10 | 12 | | 11 | 2 | | 12 | 26 | | 13 | 25 | | 14 | 24 | | 15 | 4 | | 16 | 4 | | 17 | 27 | | 18 | 12 | | 19 | 10 | | 20 | 6 | | 21 | 3 | | 22 | 24 | | 23 | 2 | | 24 | 18 | | 25 | 10 | | 26 | 4 | | 27 | 1 | | 28 | 6 | | 29 | 32 | | 30 | 8 | | 31 | 2 | | 32 | 37 | | 33 | 18 | | 34 | 4 | | 35 | 6 | | 36 | 33 | | 37 | 2 | | 38 | 14 | | 39 | 12 | | 40 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 108 | | matches | | |
| 17.27% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 91 | | ratio | 0.044 | | matches | | 0 | "The dinner rush had thinned, leaving only the regulars—old men nursing whiskies, a couple locked in hushed argument, a lone woman in the corner scribbling in a notebook." | | 1 | "She hadn’t heard it in years—not from him." | | 2 | "A flicker of something crossed his face—annoyance, maybe." | | 3 | "For a second, he was the boy she’d known—the one who’d laughed too loud, who’d stolen kisses in the university library, who’d promised her the world." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 582 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.03436426116838488 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006872852233676976 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 7.24 | | std | 5.83 | | cv | 0.805 | | sampleLengths | | 0 | 19 | | 1 | 22 | | 2 | 22 | | 3 | 28 | | 4 | 6 | | 5 | 15 | | 6 | 1 | | 7 | 15 | | 8 | 14 | | 9 | 8 | | 10 | 2 | | 11 | 5 | | 12 | 6 | | 13 | 16 | | 14 | 5 | | 15 | 8 | | 16 | 13 | | 17 | 1 | | 18 | 10 | | 19 | 8 | | 20 | 3 | | 21 | 9 | | 22 | 5 | | 23 | 6 | | 24 | 9 | | 25 | 3 | | 26 | 7 | | 27 | 8 | | 28 | 2 | | 29 | 2 | | 30 | 2 | | 31 | 9 | | 32 | 8 | | 33 | 6 | | 34 | 3 | | 35 | 4 | | 36 | 3 | | 37 | 18 | | 38 | 11 | | 39 | 10 | | 40 | 3 | | 41 | 3 | | 42 | 1 | | 43 | 2 | | 44 | 2 | | 45 | 7 | | 46 | 20 | | 47 | 9 | | 48 | 3 | | 49 | 3 |
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| 71.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.45054945054945056 | | totalSentences | 91 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 60 | | matches | | 0 | "Instead, he nodded toward the" | | 1 | "Maybe he already knew the" | | 2 | "Then his walls went back" | | 3 | "Maybe he did." |
| | ratio | 0.067 | |
| 66.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 60 | | matches | | 0 | "She didn’t see him at" | | 1 | "He stood in the doorway," | | 2 | "Her pulse hammered in her" | | 3 | "She set the tray down" | | 4 | "She hadn’t heard it in" | | 5 | "Her voice came out steadier" | | 6 | "He gestured vaguely toward the" | | 7 | "She almost laughed." | | 8 | "His mouth tightened, but he" | | 9 | "She should say no." | | 10 | "His hazel eyes flicked between" | | 11 | "He set the drinks down" | | 12 | "She didn’t answer." | | 13 | "He nodded, like that made" | | 14 | "Her fingers stilled." | | 15 | "He looked at her then," | | 16 | "he said instead" | | 17 | "He tossed back the whiskey," | | 18 | "She didn’t stop him." | | 19 | "He stood, hesitated." |
| | ratio | 0.383 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 60 | | matches | | 0 | "The Raven’s Nest hummed with" | | 1 | "The green neon sign outside" | | 2 | "Rory wiped her hands on" | | 3 | "The dinner rush had thinned," | | 4 | "She didn’t see him at" | | 5 | "The door swung open, letting" | | 6 | "He stood in the doorway," | | 7 | "The tray slipped, glasses clattering" | | 8 | "Evan’s gaze locked onto hers." | | 9 | "Her pulse hammered in her" | | 10 | "She set the tray down" | | 11 | "The one he’d given her." | | 12 | "The one she’d tried to" | | 13 | "Evan stepped forward, hands shoved" | | 14 | "The name hung between them," | | 15 | "She hadn’t heard it in" | | 16 | "Her voice came out steadier" | | 17 | "He gestured vaguely toward the" | | 18 | "She almost laughed." | | 19 | "A flicker of something crossed" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0 | | effectiveRatio | 0 | |