| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said softly [softly]" |
| | dialogueSentences | 83 | | tagDensity | 0.133 | | leniency | 0.265 | | rawRatio | 0.091 | | effectiveRatio | 0.024 | |
| 79.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1485 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "precisely" | | 1 | "really" | | 2 | "softly" | | 3 | "gently" | | 4 | "truly" |
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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) | |
| 62.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1485 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "glinting" | | 1 | "flickered" | | 2 | "pulse" | | 3 | "scanned" | | 4 | "flicked" | | 5 | "familiar" | | 6 | "traced" | | 7 | "silence" | | 8 | "structure" | | 9 | "weight" |
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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 | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 116 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 187 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1455 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 29 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 891 | | uniqueNames | 9 | | maxNameDensity | 0.9 | | worstName | "Jamie" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Jamie" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Miles | 1 | | Davis | 1 | | Carter | 1 | | Evan | 2 | | Dublin | 1 | | Jamie | 8 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Davis" | | 3 | "Carter" | | 4 | "Evan" | | 5 | "Jamie" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 1 | | matches | | 0 | "as if filing the detail away" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.687 | | wordCount | 1455 | | matches | | 0 | "not just on her, but on both of them" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 187 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 108 | | mean | 13.47 | | std | 17.4 | | cv | 1.292 | | sampleLengths | | 0 | 51 | | 1 | 131 | | 2 | 13 | | 3 | 21 | | 4 | 12 | | 5 | 1 | | 6 | 2 | | 7 | 72 | | 8 | 8 | | 9 | 25 | | 10 | 10 | | 11 | 33 | | 12 | 14 | | 13 | 15 | | 14 | 40 | | 15 | 6 | | 16 | 13 | | 17 | 54 | | 18 | 6 | | 19 | 3 | | 20 | 13 | | 21 | 3 | | 22 | 3 | | 23 | 13 | | 24 | 12 | | 25 | 5 | | 26 | 5 | | 27 | 5 | | 28 | 20 | | 29 | 9 | | 30 | 2 | | 31 | 27 | | 32 | 13 | | 33 | 3 | | 34 | 5 | | 35 | 19 | | 36 | 17 | | 37 | 2 | | 38 | 9 | | 39 | 9 | | 40 | 17 | | 41 | 11 | | 42 | 9 | | 43 | 1 | | 44 | 8 | | 45 | 23 | | 46 | 5 | | 47 | 29 | | 48 | 6 | | 49 | 1 |
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| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 116 | | matches | | 0 | "were threaded" | | 1 | "being seen" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 162 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 25 | | semicolonCount | 0 | | flaggedSentences | 16 | | totalSentences | 187 | | ratio | 0.086 | | matches | | 0 | "Inside, jazz curled from the ceiling speakers—Miles Davis, muted and brooding—winding through the scent of bourbon and damp wool." | | 1 | "She always ordered it that way—no ice, lemon on the side—ever since the last time she’d let herself drink past two fingers of anything stronger." | | 2 | "They did that more lately—flicked to exits, noted the man near the door adjusting his coat too many times, the woman who hadn’t touched her wine in twenty minutes." | | 3 | "But the pause in the jazz—someone had leaned on the record—told her something had shifted." | | 4 | "He still moved like someone used to being seen—shoulders back, chin up—but there was a tightness around his mouth, a guardedness in the way his eyes took in the room before landing on her." | | 5 | "Not the wide, reckless grin she remembered—the one that used to light up lecture halls and dodgy all-night kebab shops—but something careful." | | 6 | "Instead, she watched him walk—still no limp, still that athlete’s stride—and slide onto the stool beside her." | | 7 | "He wore a watch—expensive, understated." | | 8 | "She looked at him then—really looked." | | 9 | "Jamie had met Evan once—just once—and walked away with a look on his face like he’d smelled something rotting." | | 10 | "The man behind the bar—tall, with auburn hair streaked in grey, a slight hitch in his step as he moved—he caught her eye from across the room and gave an almost imperceptible nod." | | 11 | "A new track began—soft piano, tentative." | | 12 | "Just—stopped." | | 13 | "And then—barely audible—“Yes.”" | | 14 | "Someone’s hand—large, ring on the index finger—reaching into the frame, gripping her arm." | | 15 | "She looked at him then, truly looked, and for the first time in years, felt the weight of the years press down—not just on her, but on both of them." |
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| 89.85% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 872 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.051605504587155966 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009174311926605505 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 187 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 187 | | mean | 7.78 | | std | 8.1 | | cv | 1.041 | | sampleLengths | | 0 | 13 | | 1 | 19 | | 2 | 19 | | 3 | 26 | | 4 | 25 | | 5 | 9 | | 6 | 31 | | 7 | 11 | | 8 | 29 | | 9 | 6 | | 10 | 7 | | 11 | 3 | | 12 | 3 | | 13 | 15 | | 14 | 3 | | 15 | 1 | | 16 | 8 | | 17 | 1 | | 18 | 2 | | 19 | 20 | | 20 | 18 | | 21 | 34 | | 22 | 3 | | 23 | 3 | | 24 | 2 | | 25 | 2 | | 26 | 22 | | 27 | 1 | | 28 | 10 | | 29 | 5 | | 30 | 17 | | 31 | 6 | | 32 | 5 | | 33 | 4 | | 34 | 10 | | 35 | 13 | | 36 | 2 | | 37 | 7 | | 38 | 22 | | 39 | 5 | | 40 | 6 | | 41 | 6 | | 42 | 6 | | 43 | 7 | | 44 | 2 | | 45 | 9 | | 46 | 4 | | 47 | 11 | | 48 | 3 | | 49 | 3 |
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| 48.66% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.32085561497326204 | | totalSentences | 187 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 90 | | matches | | 0 | "Then, a voice." | | 1 | "Instead, she watched him walk—still" | | 2 | "Just for a second." | | 3 | "Just a fact." | | 4 | "Instead, she reached into her" |
| | ratio | 0.056 | |
| 46.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 90 | | matches | | 0 | "She always ordered it that" | | 1 | "Her reflection in the mirrored" | | 2 | "Her bright blue eyes scanned" | | 3 | "They did that more lately—flicked" | | 4 | "She didn’t turn." | | 5 | "He stood just inside the" | | 6 | "His dark curls were threaded" | | 7 | "He still moved like someone" | | 8 | "She didn’t answer right away." | | 9 | "He didn’t take off his" | | 10 | "He nodded, then flagged down" | | 11 | "She studied the side of" | | 12 | "He wore a watch—expensive, understated." | | 13 | "He let out a short" | | 14 | "He poured half into his" | | 15 | "She remembered that." | | 16 | "He’d done it before exams," | | 17 | "His eyes flicked to the" | | 18 | "She didn’t answer." | | 19 | "He turned on the stool" |
| | ratio | 0.433 | |
| 82.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 90 | | matches | | 0 | "The Raven’s Nest exhaled smoke" | | 1 | "Rain slicked the pavement outside," | | 2 | "Aurora Carter sat at the" | | 3 | "She always ordered it that" | | 4 | "Her reflection in the mirrored" | | 5 | "The black hair she used" | | 6 | "Her bright blue eyes scanned" | | 7 | "They did that more lately—flicked" | | 8 | "The bell above the door" | | 9 | "A gust of wet air" | | 10 | "She didn’t turn." | | 11 | "He stood just inside the" | | 12 | "His dark curls were threaded" | | 13 | "He still moved like someone" | | 14 | "She didn’t answer right away." | | 15 | "He didn’t take off his" | | 16 | "He nodded, then flagged down" | | 17 | "She studied the side of" | | 18 | "The sharp jawline was softer" | | 19 | "He wore a watch—expensive, understated." |
| | ratio | 0.756 | |
| 55.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 90 | | matches | | 0 | "Now she traced the crescent-shaped" |
| | ratio | 0.011 | |
| 19.70% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 5 | | matches | | 0 | "Rain slicked the pavement outside, glinting under the green neon of the sign that flickered like a dying pulse." | | 1 | "The black hair she used to wear in messy buns was now precisely cut just below her jaw, the kind of style that said *I mean it* even when she didn’t." | | 2 | "They did that more lately—flicked to exits, noted the man near the door adjusting his coat too many times, the woman who hadn’t touched her wine in twenty minut…" | | 3 | "The sharp jawline was softer now, the skin around his eyes carved with lines that hadn’t been there when they were twenty-two." | | 4 | "The versions of themselves that had loved too hard, fled too fast, misunderstood too much." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 83 | | tagDensity | 0.133 | | leniency | 0.265 | | rawRatio | 0 | | effectiveRatio | 0 | |