| 43.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 4 | | adverbTags | | 0 | "She sat back [back]" | | 1 | "he said quietly [quietly]" | | 2 | "He turned back [back]" | | 3 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 51 | | tagDensity | 0.275 | | leniency | 0.549 | | rawRatio | 0.286 | | effectiveRatio | 0.157 | |
| 96.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1452 | | 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) | |
| 58.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1452 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "predictable" | | 2 | "flicked" | | 3 | "familiar" | | 4 | "silence" | | 5 | "stomach" | | 6 | "flickered" | | 7 | "unreadable" | | 8 | "rhythmic" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 97 | | matches | (empty) | |
| 98.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 97 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 9 | | totalWords | 1438 | | ratio | 0.006 | | matches | | 0 | "Climbing a fence" | | 1 | "Girls will be girls." | | 2 | "Strange Fruit" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.80% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1173 | | uniqueNames | 13 | | maxNameDensity | 1.36 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 11 | | Blackwood | 1 | | Raven | 1 | | Nest | 1 | | Thames | 1 | | Silas | 16 | | Soho | 2 | | Billie | 1 | | Holiday | 1 | | Cold | 1 | | War-era | 1 | | Berlin | 1 | | London | 1 |
| | persons | | 0 | "Rory" | | 1 | "Blackwood" | | 2 | "Raven" | | 3 | "Silas" | | 4 | "Billie" | | 5 | "Holiday" |
| | places | | 0 | "Thames" | | 1 | "Soho" | | 2 | "Berlin" | | 3 | "London" |
| | globalScore | 0.818 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | 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 | 1438 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 131 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 27.65 | | std | 21.68 | | cv | 0.784 | | sampleLengths | | 0 | 38 | | 1 | 101 | | 2 | 25 | | 3 | 55 | | 4 | 16 | | 5 | 64 | | 6 | 4 | | 7 | 9 | | 8 | 27 | | 9 | 45 | | 10 | 33 | | 11 | 6 | | 12 | 43 | | 13 | 27 | | 14 | 25 | | 15 | 77 | | 16 | 5 | | 17 | 21 | | 18 | 10 | | 19 | 10 | | 20 | 44 | | 21 | 9 | | 22 | 10 | | 23 | 3 | | 24 | 27 | | 25 | 13 | | 26 | 18 | | 27 | 39 | | 28 | 18 | | 29 | 11 | | 30 | 69 | | 31 | 10 | | 32 | 15 | | 33 | 13 | | 34 | 54 | | 35 | 23 | | 36 | 25 | | 37 | 11 | | 38 | 29 | | 39 | 11 | | 40 | 25 | | 41 | 6 | | 42 | 13 | | 43 | 69 | | 44 | 62 | | 45 | 37 | | 46 | 21 | | 47 | 38 | | 48 | 4 | | 49 | 43 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 97 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 208 | | matches | | 0 | "was measuring" | | 1 | "was fighting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 131 | | ratio | 0.061 | | matches | | 0 | "His signet ring glinted as he adjusted his cuffs—silver, always on the right hand." | | 1 | "The scar on her wrist—old, crescent-shaped—ached where the glass had grazed it." | | 2 | "Men like Silas didn’t retire—they just relocated the battlefield." | | 3 | "The bartender—some new kid with a nose ring—hovered, unsure whether to clean up the spill or flee." | | 4 | "“It wasn’t flattery.” He studied her—the dark circles under her eyes, the way her black hair had grown out from the choppy pixie cut he’d last seen, the new wariness in her posture." | | 5 | "Something flickered in his expression—regret, maybe, or just the shadow of it." | | 6 | "Rory recognized it—Silas, thirty years ago, before the knee injury, before the bar, before her." | | 7 | "“Evan.” Silas’s fingers tapped against his glass, a slow, rhythmic pattern—three beats, pause, two beats." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1187 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.03538331929233361 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007582139848357203 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 10.98 | | std | 8.58 | | cv | 0.782 | | sampleLengths | | 0 | 11 | | 1 | 15 | | 2 | 12 | | 3 | 26 | | 4 | 36 | | 5 | 14 | | 6 | 5 | | 7 | 20 | | 8 | 7 | | 9 | 12 | | 10 | 6 | | 11 | 23 | | 12 | 2 | | 13 | 6 | | 14 | 24 | | 15 | 7 | | 16 | 9 | | 17 | 33 | | 18 | 17 | | 19 | 10 | | 20 | 4 | | 21 | 3 | | 22 | 1 | | 23 | 5 | | 24 | 4 | | 25 | 23 | | 26 | 4 | | 27 | 4 | | 28 | 17 | | 29 | 24 | | 30 | 3 | | 31 | 4 | | 32 | 23 | | 33 | 3 | | 34 | 6 | | 35 | 33 | | 36 | 10 | | 37 | 18 | | 38 | 9 | | 39 | 18 | | 40 | 7 | | 41 | 3 | | 42 | 19 | | 43 | 26 | | 44 | 6 | | 45 | 14 | | 46 | 9 | | 47 | 5 | | 48 | 12 | | 49 | 9 |
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| 62.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3893129770992366 | | totalSentences | 131 | | uniqueOpeners | 51 | |
| 70.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 94 | | matches | | 0 | "Instead, he turned to face" | | 1 | "Of course he had." |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 94 | | matches | | 0 | "It hit the bar with" | | 1 | "His signet ring glinted as" | | 2 | "His voice was the same:" | | 3 | "She remembered because he’d quit" | | 4 | "She should’ve known he’d come" | | 5 | "He slid onto the stool" | | 6 | "His gaze flicked to her" | | 7 | "She should’ve left then." | | 8 | "He studied her—the dark circles" | | 9 | "She nodded toward the back" | | 10 | "He swirled his untouched whiskey," | | 11 | "He finally took a sip," | | 12 | "Her stomach dropped." | | 13 | "His tone was careful, neutral" | | 14 | "His gaze didn’t waver" | | 15 | "She leaned in, close enough" | | 16 | "She sat back, crossing her" | | 17 | "he said quietly" | | 18 | "He turned back to her," | | 19 | "She wanted to argue, to" |
| | ratio | 0.287 | |
| 61.06% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 94 | | matches | | 0 | "The glass slipped through Rory’s" | | 1 | "It hit the bar with" | | 2 | "The bartender’s curse died on" | | 3 | "Silas Blackwood stood in the" | | 4 | "The years had carved deeper" | | 5 | "His signet ring glinted as" | | 6 | "The limp was new, though." | | 7 | "A slight hitch in his" | | 8 | "Rory wiped her palm on" | | 9 | "The scar on her wrist—old," | | 10 | "His voice was the same:" | | 11 | "Silas hadn’t smoked in twenty" | | 12 | "She remembered because he’d quit" | | 13 | "She should’ve known he’d come" | | 14 | "Men like Silas didn’t retire—they" | | 15 | "He slid onto the stool" | | 16 | "The bartender—some new kid with" | | 17 | "Silas waved him off with" | | 18 | "Authority didn’t need words." | | 19 | "Rory exhaled through her nose." |
| | ratio | 0.798 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 94 | | matches | | 0 | "Now she wondered if it" | | 1 | "Because hadn’t she been, in" | | 2 | "Because wasn’t that exactly what" | | 3 | "Because it wasn’t just a" |
| | ratio | 0.043 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 2 | | matches | | 0 | "The years had carved deeper lines around his mouth, but his hazel eyes still held that same quiet assessment, the kind that made you wonder if he was measuring …" | | 1 | "Hadn’t she spent half her life orbiting him, waiting for approval, for scraps of attention like a stray dog hoping for table scraps?" |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "His gaze flicked, the puddle of bourbon darkening the wood" | | 1 | "He turned back, his expression unreadable" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.039 | | leniency | 0.078 | | rawRatio | 0 | | effectiveRatio | 0 | |