| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" |
| | dialogueSentences | 20 | | tagDensity | 0.55 | | leniency | 1 | | rawRatio | 0.091 | | effectiveRatio | 0.091 | |
| 79.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 966 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "lightly" | | 1 | "slightly" | | 2 | "carefully" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 966 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "pulsed" | | 1 | "familiar" | | 2 | "throb" | | 3 | "imposing" | | 4 | "scanned" | | 5 | "etched" | | 6 | "reminder" | | 7 | "glint" | | 8 | "perfect" | | 9 | "stomach" | | 10 | "weight" | | 11 | "palpable" | | 12 | "unspoken" | | 13 | "constructed" | | 14 | "facade" | | 15 | "silence" | | 16 | "flicker" | | 17 | "whisper" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 57 | | 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 | 0 | | markdownWords | 0 | | totalWords | 964 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 786 | | uniqueNames | 9 | | maxNameDensity | 0.51 | | worstName | "Silas" | | maxWindowNameDensity | 1 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Carter | 1 | | Rory | 1 | | Silas | 4 | | Blackwood | 1 | | Cardiff | 1 | | Evan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 4 | | matches | | 0 | "seemed smaller more intimate, yet somehow more imposing" | | 1 | "rumble that seemed to vibrate through the floorboards" | | 2 | "felt like a physical blow" | | 3 | "felt like a prison" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 964 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 72.89% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 14 | | mean | 68.86 | | std | 27.89 | | cv | 0.405 | | sampleLengths | | 0 | 133 | | 1 | 100 | | 2 | 42 | | 3 | 51 | | 4 | 85 | | 5 | 52 | | 6 | 53 | | 7 | 55 | | 8 | 51 | | 9 | 68 | | 10 | 53 | | 11 | 70 | | 12 | 36 | | 13 | 115 |
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| 70.86% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 51 | | matches | | 0 | "been known" | | 1 | "was etched" | | 2 | "being extinguished" | | 3 | "were clipped" | | 4 | "been forced" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 114 | | matches | (empty) | |
| 42.61% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 57 | | ratio | 0.035 | | matches | | 0 | "Aurora Carter, or Rory, as she’d been known in another life, pushed open the heavy oak door, the scent of stale beer, aged wood, and something faintly metallic – perhaps the lingering ghost of Silas’s old trade – hitting her like a physical wave." | | 1 | "The constant pressure of expectations, the fear of Evan, the suffocating respectability of her father’s world – it had all felt like a prison." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 787 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 23 | | adverbRatio | 0.029224904701397714 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012706480304955527 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 57 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 57 | | mean | 16.91 | | std | 9.11 | | cv | 0.539 | | sampleLengths | | 0 | 13 | | 1 | 27 | | 2 | 44 | | 3 | 14 | | 4 | 11 | | 5 | 24 | | 6 | 2 | | 7 | 25 | | 8 | 35 | | 9 | 14 | | 10 | 11 | | 11 | 13 | | 12 | 15 | | 13 | 12 | | 14 | 11 | | 15 | 4 | | 16 | 28 | | 17 | 9 | | 18 | 14 | | 19 | 3 | | 20 | 30 | | 21 | 13 | | 22 | 34 | | 23 | 5 | | 24 | 18 | | 25 | 10 | | 26 | 24 | | 27 | 6 | | 28 | 21 | | 29 | 26 | | 30 | 12 | | 31 | 9 | | 32 | 15 | | 33 | 19 | | 34 | 15 | | 35 | 29 | | 36 | 7 | | 37 | 12 | | 38 | 13 | | 39 | 24 | | 40 | 19 | | 41 | 6 | | 42 | 32 | | 43 | 15 | | 44 | 9 | | 45 | 31 | | 46 | 24 | | 47 | 6 | | 48 | 12 | | 49 | 17 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.42105263157894735 | | totalSentences | 57 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 50 | | matches | | 0 | "She’d been here once, decades" | | 1 | "She scanned the room, her" | | 2 | "He stood with his usual" | | 3 | "He turned, his hazel eyes," | | 4 | "he said, his voice a" | | 5 | "She’d shed it, along with" | | 6 | "She forced a smile, the" | | 7 | "She’d changed, yes, but not" | | 8 | "He didn’t flinch." | | 9 | "He pushed off the bar," | | 10 | "His gaze drifted down, lingering" | | 11 | "She pulled her sleeve down," | | 12 | "He nodded, understanding the unspoken" | | 13 | "She flinched, the memory of" | | 14 | "she whispered, the admission a" | | 15 | "She’d escaped, yes, but the" | | 16 | "He paused, studying her face," | | 17 | "She took a step back," | | 18 | "She gestured vaguely around the" | | 19 | "He chuckled, a low, knowing" |
| | ratio | 0.5 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 50 | | matches | | 0 | "The Raven’s Nest pulsed with" | | 1 | "Aurora Carter, or Rory, as" | | 2 | "She’d been here once, decades" | | 3 | "She scanned the room, her" | | 4 | "The name, like the man," | | 5 | "He stood with his usual" | | 6 | "A slight, almost imperceptible limp" | | 7 | "He turned, his hazel eyes," | | 8 | "The recognition was instant, a" | | 9 | "he said, his voice a" | | 10 | "The nickname, used after all" | | 11 | "She’d shed it, along with" | | 12 | "She forced a smile, the" | | 13 | "The words were clipped, defensive" | | 14 | "She’d changed, yes, but not" | | 15 | "He didn’t flinch." | | 16 | "He pushed off the bar," | | 17 | "The scent of his expensive," | | 18 | "His gaze drifted down, lingering" | | 19 | "The scar was a constant," |
| | ratio | 0.96 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 50 | | matches | | 0 | "Now, the bar seemed smaller," |
| | ratio | 0.02 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "Green neon bled into the Soho night, casting long, distorted shadows across the worn mahogany bar and the rows of dusty bottles that lined the back wall." | | 1 | "The recognition was instant, a jolt of electricity that made her stomach clench." |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "He leaned, his voice dropping to a conspiratorial whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 20 | | tagDensity | 0.15 | | leniency | 0.3 | | rawRatio | 0.333 | | effectiveRatio | 0.1 | |