| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 4 | | adverbTags | | 0 | "she said lightly [lightly]" | | 1 | "Silas said again [again]" | | 2 | "he said quietly [quietly]" | | 3 | "she said carefully [carefully]" |
| | dialogueSentences | 72 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.167 | | effectiveRatio | 0.111 | |
| 52.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1274 | | totalAiIsmAdverbs | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | adverb | "barely above a whisper" | | count | 1 |
| | 7 | |
| | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "lightly" | | 3 | "slightly" | | 4 | "really" | | 5 | "carefully" | | 6 | "barely above a whisper" | | 7 | "very" |
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| 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) | |
| 60.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1274 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "spectral" | | 1 | "warmth" | | 2 | "etched" | | 3 | "weight" | | 4 | "silence" | | 5 | "charged" | | 6 | "whisper" | | 7 | "tracing" |
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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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 137 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1262 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 28 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.60% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 681 | | uniqueNames | 7 | | maxNameDensity | 1.03 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Blackwood | 1 | | Aurora | 6 | | Silas | 7 | | Crowe | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Blackwood" | | 4 | "Aurora" | | 5 | "Silas" |
| | places | | | globalScore | 0.986 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 3 | | matches | | 0 | "quite reach the eyes" | | 1 | "not quite at ease" | | 2 | "as though sensing her gaze, and his hazel eyes locked onto hers with disconcerting precision" |
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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 | 1262 | | matches | | 0 | "not just to Crowe, but to herself" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 137 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 18.56 | | std | 15.57 | | cv | 0.839 | | sampleLengths | | 0 | 74 | | 1 | 69 | | 2 | 4 | | 3 | 61 | | 4 | 8 | | 5 | 7 | | 6 | 19 | | 7 | 47 | | 8 | 20 | | 9 | 16 | | 10 | 30 | | 11 | 16 | | 12 | 13 | | 13 | 27 | | 14 | 18 | | 15 | 10 | | 16 | 11 | | 17 | 8 | | 18 | 31 | | 19 | 10 | | 20 | 9 | | 21 | 7 | | 22 | 13 | | 23 | 12 | | 24 | 15 | | 25 | 32 | | 26 | 11 | | 27 | 3 | | 28 | 35 | | 29 | 12 | | 30 | 13 | | 31 | 9 | | 32 | 39 | | 33 | 7 | | 34 | 16 | | 35 | 38 | | 36 | 6 | | 37 | 19 | | 38 | 29 | | 39 | 6 | | 40 | 15 | | 41 | 37 | | 42 | 11 | | 43 | 4 | | 44 | 5 | | 45 | 15 | | 46 | 24 | | 47 | 6 | | 48 | 5 | | 49 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 143 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 137 | | ratio | 0.058 | | matches | | 0 | "Inside, the bar exhaled warmth and decades—old wood, spilled gin, and the faint musk of cigar smoke embedded in the walls." | | 1 | "She was here to ask questions—about a man who’d been asking about her." | | 2 | "His profile was sharper than she remembered—etched with time, the grey in his auburn hair more pronounced, like frost creeping over autumn leaves." | | 3 | "The scar on her left wrist—the crescent-shaped ghost of a childhood fall—peeked out from beneath her sleeve as she folded her arms." | | 4 | "The jazz shifted—piano now, soft and melancholic." | | 5 | "He studied her—really studied her—and for a moment, the man behind the spymaster cracked." | | 6 | "Silas looked at her—really looked—and saw the girl who’d once argued constitutional law at three a.m., who’d skipped exams to stand outside courthouses with protest signs, who’d fled her past with nothing but a backpack and a burner phone." | | 7 | "And he saw the danger in her now—not just to Crowe, but to herself." |
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| 88.21% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 694 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.053314121037463975 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.020172910662824207 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 137 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 137 | | mean | 9.21 | | std | 7.07 | | cv | 0.768 | | sampleLengths | | 0 | 21 | | 1 | 21 | | 2 | 32 | | 3 | 12 | | 4 | 23 | | 5 | 7 | | 6 | 14 | | 7 | 13 | | 8 | 4 | | 9 | 18 | | 10 | 23 | | 11 | 20 | | 12 | 3 | | 13 | 3 | | 14 | 2 | | 15 | 6 | | 16 | 1 | | 17 | 17 | | 18 | 2 | | 19 | 8 | | 20 | 17 | | 21 | 22 | | 22 | 3 | | 23 | 2 | | 24 | 13 | | 25 | 2 | | 26 | 6 | | 27 | 10 | | 28 | 13 | | 29 | 17 | | 30 | 10 | | 31 | 6 | | 32 | 5 | | 33 | 8 | | 34 | 13 | | 35 | 14 | | 36 | 18 | | 37 | 2 | | 38 | 2 | | 39 | 6 | | 40 | 5 | | 41 | 6 | | 42 | 5 | | 43 | 3 | | 44 | 10 | | 45 | 7 | | 46 | 14 | | 47 | 6 | | 48 | 4 | | 49 | 5 |
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| 57.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.36496350364963503 | | totalSentences | 137 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 69 | | matches | | 0 | "Then she saw him." | | 1 | "Then Aurora leaned forward, her" | | 2 | "Of course he did." | | 3 | "Then, slowly, nodded." |
| | ratio | 0.058 | |
| 11.30% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 69 | | matches | | 0 | "Her black hair clung damply" | | 1 | "She glanced around, not quite" | | 2 | "She knew this place, knew" | | 3 | "She was here to ask" | | 4 | "His profile was sharper than" | | 5 | "He turned his head slowly," | | 6 | "She hesitated, then moved toward" | | 7 | "he said, gesturing to the" | | 8 | "She smiled, but it didn’t" | | 9 | "She slipped into the booth," | | 10 | "she said lightly" | | 11 | "He chuckled, shifting his weight" | | 12 | "She reached for the menu," | | 13 | "he said, lowering his voice" | | 14 | "She tilted her chin upward." | | 15 | "he said quietly" | | 16 | "Her fingers tightened around the" | | 17 | "She laughed, low and bitter." | | 18 | "He swirled his drink" | | 19 | "She stared at him." |
| | ratio | 0.522 | |
| 54.20% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 69 | | matches | | 0 | "The green neon sign of" | | 1 | "The air hummed at a" | | 2 | "Aurora Carter stood just inside" | | 3 | "Her black hair clung damply" | | 4 | "She glanced around, not quite" | | 5 | "She knew this place, knew" | | 6 | "She was here to ask" | | 7 | "Silas Blackwood sat at a" | | 8 | "His profile was sharper than" | | 9 | "He turned his head slowly," | | 10 | "She hesitated, then moved toward" | | 11 | "he said, gesturing to the" | | 12 | "She smiled, but it didn’t" | | 13 | "She slipped into the booth," | | 14 | "The scar on her left" | | 15 | "Silas studied her." | | 16 | "she said lightly" | | 17 | "He chuckled, shifting his weight" | | 18 | "She reached for the menu," | | 19 | "he said, lowering his voice" |
| | ratio | 0.812 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 3 | | matches | | 0 | "The air hummed at a low frequency: a jazz trumpet winding through the crackle of vinyl, the low murmur of voices, the occasional burst of laughter that didn’t q…" | | 1 | "He turned his head slowly, as though sensing her gaze, and his hazel eyes locked onto hers with disconcerting precision." | | 2 | "Silas looked at her—really looked—and saw the girl who’d once argued constitutional law at three a.m., who’d skipped exams to stand outside courthouses with pro…" |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, voice barely above a whisper" | | 1 | "he asked, calm" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 21 | | fancyCount | 2 | | fancyTags | | 0 | "he admitted (admit)" | | 1 | "he added (add)" |
| | dialogueSentences | 72 | | tagDensity | 0.292 | | leniency | 0.583 | | rawRatio | 0.095 | | effectiveRatio | 0.056 | |