| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 96 | | tagDensity | 0.094 | | leniency | 0.188 | | rawRatio | 0.111 | | effectiveRatio | 0.021 | |
| 86.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1847 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "softly" |
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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 | 1847 | | totalAiIsms | 40 | | found | | | highlights | | 0 | "pulsed" | | 1 | "tracing" | | 2 | "familiar" | | 3 | "whisper" | | 4 | "unspoken" | | 5 | "silence" | | 6 | "pristine" | | 7 | "unreadable" | | 8 | "flicked" | | 9 | "jaw clenched" | | 10 | "wavered" | | 11 | "flickered" | | 12 | "weight" | | 13 | "footsteps" | | 14 | "echoed" | | 15 | "echoing" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 3 | | found | | 0 | | label | "jaw/fists clenched" | | count | 2 |
| | 1 | | label | "air was thick with" | | count | 1 |
| | 2 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "jaw clenched" | | 1 | "The air was thick with" | | 2 | "the weight of unspoken words" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 131 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 131 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 217 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1837 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 84 | | wordCount | 1291 | | uniqueNames | 7 | | maxNameDensity | 3.64 | | worstName | "Silas" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Rory | 32 | | Blackwood | 1 | | Si | 1 | | Silas | 47 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Blackwood" | | 4 | "Si" | | 5 | "Silas" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | glossingSentenceCount | 3 | | matches | | 0 | "quite a smile" | | 1 | "quite a smile" | | 2 | "quite a smile" |
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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 | 1837 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 217 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 99 | | mean | 18.56 | | std | 14.56 | | cv | 0.785 | | sampleLengths | | 0 | 94 | | 1 | 60 | | 2 | 9 | | 3 | 21 | | 4 | 6 | | 5 | 32 | | 6 | 46 | | 7 | 22 | | 8 | 12 | | 9 | 23 | | 10 | 4 | | 11 | 23 | | 12 | 16 | | 13 | 7 | | 14 | 10 | | 15 | 13 | | 16 | 49 | | 17 | 11 | | 18 | 20 | | 19 | 10 | | 20 | 16 | | 21 | 16 | | 22 | 5 | | 23 | 19 | | 24 | 9 | | 25 | 15 | | 26 | 15 | | 27 | 6 | | 28 | 10 | | 29 | 19 | | 30 | 6 | | 31 | 9 | | 32 | 19 | | 33 | 18 | | 34 | 52 | | 35 | 7 | | 36 | 30 | | 37 | 18 | | 38 | 9 | | 39 | 32 | | 40 | 9 | | 41 | 15 | | 42 | 9 | | 43 | 10 | | 44 | 23 | | 45 | 11 | | 46 | 13 | | 47 | 8 | | 48 | 5 | | 49 | 64 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 131 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 206 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 217 | | ratio | 0.014 | | matches | | 0 | "Aurora Carter—Rory, to those who knew her—leaned against the bar, her fingers tracing the edge of a half-empty glass of something dark and sweet." | | 1 | "Silas Blackwood—Si, to his friends—was polishing a glass with deliberate precision, his grey-streaked auburn hair catching the light as he moved." | | 2 | "The air was thick with the scent of old paper and something else—something metallic, like the faintest trace of blood." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1301 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.030745580322828592 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004611837048424289 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 217 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 217 | | mean | 8.47 | | std | 5.39 | | cv | 0.637 | | sampleLengths | | 0 | 22 | | 1 | 24 | | 2 | 15 | | 3 | 12 | | 4 | 21 | | 5 | 21 | | 6 | 18 | | 7 | 21 | | 8 | 9 | | 9 | 12 | | 10 | 9 | | 11 | 3 | | 12 | 3 | | 13 | 23 | | 14 | 9 | | 15 | 5 | | 16 | 21 | | 17 | 20 | | 18 | 11 | | 19 | 11 | | 20 | 4 | | 21 | 8 | | 22 | 8 | | 23 | 9 | | 24 | 6 | | 25 | 4 | | 26 | 15 | | 27 | 8 | | 28 | 10 | | 29 | 6 | | 30 | 7 | | 31 | 4 | | 32 | 6 | | 33 | 9 | | 34 | 4 | | 35 | 19 | | 36 | 16 | | 37 | 9 | | 38 | 5 | | 39 | 4 | | 40 | 7 | | 41 | 12 | | 42 | 8 | | 43 | 3 | | 44 | 7 | | 45 | 11 | | 46 | 5 | | 47 | 11 | | 48 | 5 | | 49 | 3 |
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| 46.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.09216589861751152 | | totalSentences | 217 | | uniqueOpeners | 20 | |
| 51.28% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 130 | | matches | | 0 | "Instead, he set the glass" | | 1 | "Instead, he turned to the" |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 130 | | matches | | 0 | "She hadn’t come here for" | | 1 | "His left leg twitched slightly" | | 2 | "He didn’t look up as" | | 3 | "he said, voice low, almost" | | 4 | "she replied, her voice sharper" | | 5 | "She took a sip of" | | 6 | "He didn’t answer right away." | | 7 | "She shook her head, the" | | 8 | "She smirked, but it didn’t" | | 9 | "He glanced between Rory and" | | 10 | "His grip was firm, almost" | | 11 | "She stood slowly, her heels" | | 12 | "She turned to leave, but" | | 13 | "His grip was gentle, almost" | | 14 | "She pulled her arm free," | | 15 | "She pushed it open, the" | | 16 | "She turned to him, her" | | 17 | "She exhaled, her breath curling" | | 18 | "he said softly" | | 19 | "She looked at him, her" |
| | ratio | 0.185 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 127 | | totalSentences | 130 | | matches | | 0 | "The neon glow of the" | | 1 | "Aurora Carter—Rory, to those who" | | 2 | "The scent of aged whiskey" | | 3 | "She hadn’t come here for" | | 4 | "Silas Blackwood—Si, to his friends—was" | | 5 | "His left leg twitched slightly" | | 6 | "He didn’t look up as" | | 7 | "he said, voice low, almost" | | 8 | "she replied, her voice sharper" | | 9 | "Silas didn’t smile." | | 10 | "She took a sip of" | | 11 | "He didn’t answer right away." | | 12 | "Rory exhaled through her nose," | | 13 | "Silas’s hand paused mid-motion." | | 14 | "The words hung between them," | | 15 | "Rory’s fingers tightened around the" | | 16 | "She shook her head, the" | | 17 | "Silas studied her for a" | | 18 | "A beat of silence." | | 19 | "She smirked, but it didn’t" |
| | ratio | 0.977 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 130 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 2 | | matches | | 0 | "His left leg twitched slightly beneath the table, a habit that had become almost imperceptible over the years." | | 1 | "The walls were lined with old maps and black-and-white photographs, each one telling a story that was just as tangled as the one between them." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 7 | | matches | | 0 | "he said, voice low, almost a whisper" | | 1 | "she replied, her voice sharper than she intended" | | 2 | "She took, the burn of it sharp against her throat" | | 3 | "She shook, the movement catching the light in her bright blue eyes" | | 4 | "Silas snapped, his voice a low growl" | | 5 | "he said, his voice low and dangerous" | | 6 | "Silas said, his voice a low rumble" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 96 | | tagDensity | 0.063 | | leniency | 0.125 | | rawRatio | 0.167 | | effectiveRatio | 0.021 | |