| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 69 | | tagDensity | 0.116 | | leniency | 0.232 | | rawRatio | 0.25 | | effectiveRatio | 0.058 | |
| 88.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 884 | | totalAiIsmAdverbs | 2 | | 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) | |
| 9.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 884 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "flickered" | | 1 | "pulse" | | 2 | "weight" | | 3 | "tracing" | | 4 | "etched" | | 5 | "silence" | | 6 | "glinting" | | 7 | "traced" | | 8 | "measured" | | 9 | "eyebrow" | | 10 | "unreadable" | | 11 | "trembled" | | 12 | "familiar" |
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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 | 1 | | narrationSentences | 78 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 136 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 876 | | ratio | 0.005 | | matches | | 0 | "The Raven’s Nest" | | 1 | "clink" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 608 | | uniqueNames | 5 | | maxNameDensity | 2.47 | | worstName | "Silas" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Carter | 1 | | Blackwood | 1 | | Silas | 15 | | Rory | 8 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Blackwood" | | 3 | "Silas" | | 4 | "Rory" |
| | places | (empty) | | globalScore | 0.266 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | 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 | 876 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 136 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 80 | | mean | 10.95 | | std | 11.85 | | cv | 1.082 | | sampleLengths | | 0 | 59 | | 1 | 50 | | 2 | 4 | | 3 | 64 | | 4 | 8 | | 5 | 11 | | 6 | 16 | | 7 | 18 | | 8 | 15 | | 9 | 12 | | 10 | 2 | | 11 | 23 | | 12 | 6 | | 13 | 21 | | 14 | 19 | | 15 | 12 | | 16 | 2 | | 17 | 4 | | 18 | 3 | | 19 | 2 | | 20 | 5 | | 21 | 9 | | 22 | 2 | | 23 | 2 | | 24 | 30 | | 25 | 7 | | 26 | 6 | | 27 | 5 | | 28 | 7 | | 29 | 7 | | 30 | 9 | | 31 | 5 | | 32 | 8 | | 33 | 33 | | 34 | 6 | | 35 | 10 | | 36 | 6 | | 37 | 10 | | 38 | 31 | | 39 | 10 | | 40 | 6 | | 41 | 1 | | 42 | 5 | | 43 | 1 | | 44 | 8 | | 45 | 7 | | 46 | 12 | | 47 | 30 | | 48 | 2 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 115 | | matches | (empty) | |
| 58.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 136 | | ratio | 0.029 | | matches | | 0 | "His back was to her, but she’d know that posture anywhere—the way his shoulders carried themselves, the slight hitch in his step when he shifted his weight." | | 1 | "She followed his gaze—the hidden door behind the bookshelf, the one that led to the back room where they used to plot missions over stolen whiskey and half-baked schemes." | | 2 | "The jukebox clicked, the needle dropping into a new song—something old, something familiar." | | 3 | "Rory looked at him, really looked at him—the lines on his face, the weight in his eyes, the way his hand still hovered there, waiting." |
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| 96.59% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 615 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.04390243902439024 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008130081300813009 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 136 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 136 | | mean | 6.44 | | std | 5.87 | | cv | 0.911 | | sampleLengths | | 0 | 19 | | 1 | 16 | | 2 | 24 | | 3 | 22 | | 4 | 28 | | 5 | 4 | | 6 | 13 | | 7 | 27 | | 8 | 24 | | 9 | 8 | | 10 | 5 | | 11 | 2 | | 12 | 4 | | 13 | 10 | | 14 | 6 | | 15 | 15 | | 16 | 3 | | 17 | 4 | | 18 | 11 | | 19 | 9 | | 20 | 3 | | 21 | 2 | | 22 | 13 | | 23 | 6 | | 24 | 4 | | 25 | 4 | | 26 | 1 | | 27 | 1 | | 28 | 13 | | 29 | 8 | | 30 | 7 | | 31 | 12 | | 32 | 3 | | 33 | 7 | | 34 | 2 | | 35 | 2 | | 36 | 4 | | 37 | 3 | | 38 | 2 | | 39 | 3 | | 40 | 2 | | 41 | 5 | | 42 | 4 | | 43 | 2 | | 44 | 2 | | 45 | 4 | | 46 | 14 | | 47 | 7 | | 48 | 5 | | 49 | 7 |
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| 47.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3161764705882353 | | totalSentences | 136 | | uniqueOpeners | 43 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 65 | | matches | | 0 | "Then she saw him." | | 1 | "Of course he did." | | 2 | "Just watched her, his hazel" | | 3 | "Instead, she said," | | 4 | "Just nodded toward the back." | | 5 | "Just nodded, turning to grab" |
| | ratio | 0.092 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 65 | | matches | | 0 | "She slid onto a stool" | | 1 | "His back was to her," | | 2 | "She exhaled, her breath catching" | | 3 | "he said finally, his voice" | | 4 | "She twisted the scar on" | | 5 | "He poured without looking at" | | 6 | "She took a sip." | | 7 | "He leaned against the bar," | | 8 | "She swallowed hard." | | 9 | "His jaw tightened." | | 10 | "She met his gaze." | | 11 | "she said quietly" | | 12 | "He didn’t look at her." | | 13 | "She followed his gaze—the hidden" | | 14 | "She lifted her chin." | | 15 | "She exhaled, sharp." | | 16 | "She looked away." | | 17 | "She didn’t move." | | 18 | "She took a breath." |
| | ratio | 0.292 | |
| 83.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 65 | | matches | | 0 | "The neon green sign of" | | 1 | "Rory Carter pushed through the" | | 2 | "The air inside smelled of" | | 3 | "She slid onto a stool" | | 4 | "The bar was quiet tonight," | | 5 | "Silas Blackwood stood behind the" | | 6 | "His back was to her," | | 7 | "The years had etched deeper" | | 8 | "She exhaled, her breath catching" | | 9 | "Silas didn’t turn right away." | | 10 | "he said finally, his voice" | | 11 | "She twisted the scar on" | | 12 | "A beat of silence." | | 13 | "The kind that stretched too" | | 14 | "Silas set the glass down" | | 15 | "He poured without looking at" | | 16 | "She took a sip." | | 17 | "He leaned against the bar," | | 18 | "Rory traced the rim of" | | 19 | "Silas didn’t smile." |
| | ratio | 0.754 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 7 | | totalSentences | 65 | | matches | | 0 | "Because I was scared." | | 1 | "Because I didn’t know how" | | 2 | "Because I failed at everything" | | 3 | "Because I didn’t deserve you." | | 4 | "Because I needed to see" | | 5 | "To know if you’d still" | | 6 | "To see if the weight" |
| | ratio | 0.108 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "The air inside smelled of stale beer and old wood, the kind of scent that clung to places where secrets were traded over pints." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "he said finally, his voice rougher than she remembered" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 69 | | tagDensity | 0.116 | | leniency | 0.232 | | rawRatio | 0 | | effectiveRatio | 0 | |