| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 2 | | adverbTags | | 0 | "His voice cracked just [just]" | | 1 | "he said softly [softly]" |
| | dialogueSentences | 54 | | tagDensity | 0.481 | | leniency | 0.963 | | rawRatio | 0.077 | | effectiveRatio | 0.074 | |
| 80.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1517 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "hesitantly" | | 3 | "lightly" | | 4 | "gently" | | 5 | "slowly" |
| |
| 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) | |
| 14.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1517 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "weight" | | 1 | "unreadable" | | 2 | "measured" | | 3 | "unspoken" | | 4 | "pulse" | | 5 | "tracing" | | 6 | "electric" | | 7 | "flicked" | | 8 | "dance" | | 9 | "eyebrow" | | 10 | "solitary" | | 11 | "flickered" | | 12 | "stomach" | | 13 | "glinting" | | 14 | "reminder" | | 15 | "silence" | | 16 | "dances" | | 17 | "warmth" | | 18 | "whisper" |
| |
| 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 | 126 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 126 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 154 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1506 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.29% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1257 | | uniqueNames | 10 | | maxNameDensity | 1.03 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 10 | | Carter | 1 | | Raven | 2 | | Nest | 4 | | Silas | 13 | | Golden | 1 | | Empress | 1 | | Evan | 1 | | Blackwood | 1 | | Prague | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Blackwood" |
| | places | | 0 | "Raven" | | 1 | "Golden" | | 2 | "Prague" |
| | globalScore | 0.983 | | windowScore | 1 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 90 | | glossingSentenceCount | 2 | | matches | | 0 | "as if shrugging off layers of old guilt" | | 1 | "as if waking from a dream" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1506 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 154 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 33.47 | | std | 22.48 | | cv | 0.672 | | sampleLengths | | 0 | 93 | | 1 | 60 | | 2 | 61 | | 3 | 15 | | 4 | 23 | | 5 | 81 | | 6 | 28 | | 7 | 36 | | 8 | 10 | | 9 | 84 | | 10 | 33 | | 11 | 70 | | 12 | 15 | | 13 | 32 | | 14 | 23 | | 15 | 31 | | 16 | 21 | | 17 | 39 | | 18 | 31 | | 19 | 33 | | 20 | 25 | | 21 | 27 | | 22 | 18 | | 23 | 16 | | 24 | 15 | | 25 | 54 | | 26 | 45 | | 27 | 7 | | 28 | 30 | | 29 | 4 | | 30 | 44 | | 31 | 48 | | 32 | 46 | | 33 | 51 | | 34 | 24 | | 35 | 6 | | 36 | 15 | | 37 | 14 | | 38 | 14 | | 39 | 17 | | 40 | 13 | | 41 | 73 | | 42 | 14 | | 43 | 7 | | 44 | 60 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 238 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 3 | | flaggedSentences | 9 | | totalSentences | 154 | | ratio | 0.058 | | matches | | 0 | "The chime overhead snapped through the hush of early evening; the door thudded shut behind her." | | 1 | "Inside, the bar’s low amber light pooled against walls hung with yellowed maps and black-and-white photographs—snapshots of worlds she’d never seen, or had only glimpsed in Silas’s stories." | | 2 | "The stools along the counter sat empty; a row of glasses shone like pale jewels behind the bar." | | 3 | "Grey-streaked auburn hair framed a face she half-remembered: strong jaw, hawkish nose, hazel eyes that even now—nearly two decades later—flashed with the same quick intelligence." | | 4 | "His beard was neatly trimmed; a silver signet ring caught the light on his right hand." | | 5 | "Electric shock or empathy—she couldn’t tell which—rocked through her." | | 6 | "She recalled the day he pressed it into her palm in Prague, telling her it was a reminder that some bonds outlast betrayal—or fear." | | 7 | "A place she’d only caught glimpses of—paper-strewn tables, maps of cities half a world away." | | 8 | "Inside The Raven’s Nest, time had curved back on itself, looping them into this single, breath-stilled moment where past and present met and—maybe—future lay unfolding." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1273 | | adjectiveStacks | 1 | | stackExamples | | 0 | "single, breath-stilled moment" |
| | adverbCount | 37 | | adverbRatio | 0.029065200314218383 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.014139827179890024 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 154 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 154 | | mean | 9.78 | | std | 6.57 | | cv | 0.672 | | sampleLengths | | 0 | 18 | | 1 | 16 | | 2 | 14 | | 3 | 28 | | 4 | 17 | | 5 | 15 | | 6 | 23 | | 7 | 16 | | 8 | 6 | | 9 | 13 | | 10 | 18 | | 11 | 8 | | 12 | 22 | | 13 | 15 | | 14 | 2 | | 15 | 9 | | 16 | 2 | | 17 | 10 | | 18 | 4 | | 19 | 25 | | 20 | 16 | | 21 | 36 | | 22 | 4 | | 23 | 12 | | 24 | 5 | | 25 | 7 | | 26 | 3 | | 27 | 19 | | 28 | 12 | | 29 | 2 | | 30 | 9 | | 31 | 1 | | 32 | 11 | | 33 | 7 | | 34 | 18 | | 35 | 32 | | 36 | 16 | | 37 | 15 | | 38 | 12 | | 39 | 6 | | 40 | 8 | | 41 | 24 | | 42 | 5 | | 43 | 19 | | 44 | 10 | | 45 | 4 | | 46 | 12 | | 47 | 3 | | 48 | 5 | | 49 | 10 |
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| 51.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.33766233766233766 | | totalSentences | 154 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 116 | | matches | | 0 | "Then recognition softened the edges." | | 1 | "Then he sighed, pressing the" | | 2 | "Then, hesitantly, she placed her" | | 3 | "Then he offered a small," | | 4 | "Instead, she lifted her glass" |
| | ratio | 0.043 | |
| 9.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 61 | | totalSentences | 116 | | matches | | 0 | "She shook off droplets from" | | 1 | "She’d lived above this place" | | 2 | "She crossed to the bar," | | 3 | "His back was to her," | | 4 | "His voice was low, a" | | 5 | "Her words felt brittle in" | | 6 | "He straightened and turned." | | 7 | "His beard was neatly trimmed;" | | 8 | "His left leg was stiff" | | 9 | "His voice cracked, just a" | | 10 | "Her heart pounded." | | 11 | "She had forgotten how displacement" | | 12 | "She tried a small, uncertain" | | 13 | "He gestured to the stool" | | 14 | "She hesitated only a moment" | | 15 | "Her damp jacket steamed in" | | 16 | "He poured two fingers into" | | 17 | "he said, voice low as" | | 18 | "She picked up the glass" | | 19 | "She set the glass back." |
| | ratio | 0.526 | |
| 46.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 116 | | matches | | 0 | "The chime overhead snapped through" | | 1 | "She shook off droplets from" | | 2 | "The air smelled of aged" | | 3 | "Aurora paused at the threshold," | | 4 | "She’d lived above this place" | | 5 | "Familiarity being the Nest: Silas’s" | | 6 | "She crossed to the bar," | | 7 | "The stools along the counter" | | 8 | "A single man stood there," | | 9 | "His back was to her," | | 10 | "His voice was low, a" | | 11 | "The voice was both a" | | 12 | "Her words felt brittle in" | | 13 | "He straightened and turned." | | 14 | "His beard was neatly trimmed;" | | 15 | "His left leg was stiff" | | 16 | "Silas Blackwood’s gaze sharpened." | | 17 | "His voice cracked, just a" | | 18 | "Her heart pounded." | | 19 | "She had forgotten how displacement" |
| | ratio | 0.828 | |
| 43.10% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 116 | | matches | | | ratio | 0.009 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 1 | | matches | | 0 | "The whiskey caught in her nose and burned her throat at the memory of nights she’d lain awake, replaying everything that had gone wrong." |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice low as he leaned in" | | 1 | "she said, voice thin" |
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| 75.93% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 4 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she whispered (whisper)" | | 2 | "she admitted (admit)" | | 3 | "she whispered (whisper)" |
| | dialogueSentences | 54 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.333 | | effectiveRatio | 0.148 | |