| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "Silas asked quietly [quietly]" | | 1 | "he said softly [softly]" |
| | dialogueSentences | 47 | | tagDensity | 0.277 | | leniency | 0.553 | | rawRatio | 0.154 | | effectiveRatio | 0.085 | |
| 80.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1050 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 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) | |
| 42.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1050 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "glinting" | | 1 | "flicked" | | 2 | "weight" | | 3 | "eyebrow" | | 4 | "familiar" | | 5 | "comforting" | | 6 | "jaw clenched" | | 7 | "flickered" | | 8 | "silence" | | 9 | "traced" | | 10 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 65 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 7 | | totalWords | 1045 | | ratio | 0.007 | | matches | | 0 | "Local Students Awarded Prestigious Scholarship to Cambridge" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 58.19% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 708 | | uniqueNames | 9 | | maxNameDensity | 1.84 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Eva | 1 | | Students | 1 | | Awarded | 1 | | Prestigious | 1 | | Scholarship | 1 | | Silas | 13 | | Rory | 3 |
| | persons | | 0 | "Raven" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Rory" |
| | places | (empty) | | globalScore | 0.582 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | 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 | 1045 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 22.72 | | std | 18.42 | | cv | 0.811 | | sampleLengths | | 0 | 37 | | 1 | 1 | | 2 | 48 | | 3 | 34 | | 4 | 15 | | 5 | 64 | | 6 | 12 | | 7 | 12 | | 8 | 49 | | 9 | 5 | | 10 | 12 | | 11 | 6 | | 12 | 11 | | 13 | 25 | | 14 | 67 | | 15 | 8 | | 16 | 25 | | 17 | 19 | | 18 | 4 | | 19 | 7 | | 20 | 47 | | 21 | 5 | | 22 | 4 | | 23 | 38 | | 24 | 31 | | 25 | 13 | | 26 | 17 | | 27 | 28 | | 28 | 14 | | 29 | 12 | | 30 | 48 | | 31 | 12 | | 32 | 76 | | 33 | 20 | | 34 | 23 | | 35 | 7 | | 36 | 25 | | 37 | 31 | | 38 | 6 | | 39 | 10 | | 40 | 14 | | 41 | 12 | | 42 | 52 | | 43 | 3 | | 44 | 25 | | 45 | 11 |
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| 94.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 65 | | matches | | 0 | "was lined" | | 1 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 130 | | matches | | |
| 55.39% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 98 | | ratio | 0.031 | | matches | | 0 | "His eyes flicked over her—black hair shorter now, the crescent scar on her wrist more pronounced, the way she held herself like a wire pulled too tight." | | 1 | "The bartender—a new face, young, with a tattoo of a raven peeking out from under his sleeve—poured him two fingers of something amber without being asked." | | 2 | "The hum of the bar filled the silence—glasses clinking, the low murmur of conversation, the occasional burst of laughter from a group in the corner." |
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| 89.53% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 712 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.05196629213483146 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008426966292134831 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 10.66 | | std | 8.58 | | cv | 0.805 | | sampleLengths | | 0 | 21 | | 1 | 16 | | 2 | 1 | | 3 | 2 | | 4 | 11 | | 5 | 35 | | 6 | 3 | | 7 | 27 | | 8 | 4 | | 9 | 5 | | 10 | 10 | | 11 | 5 | | 12 | 35 | | 13 | 24 | | 14 | 7 | | 15 | 5 | | 16 | 9 | | 17 | 3 | | 18 | 11 | | 19 | 26 | | 20 | 12 | | 21 | 5 | | 22 | 9 | | 23 | 3 | | 24 | 4 | | 25 | 2 | | 26 | 11 | | 27 | 6 | | 28 | 11 | | 29 | 8 | | 30 | 5 | | 31 | 21 | | 32 | 3 | | 33 | 7 | | 34 | 21 | | 35 | 10 | | 36 | 5 | | 37 | 3 | | 38 | 11 | | 39 | 14 | | 40 | 17 | | 41 | 2 | | 42 | 4 | | 43 | 2 | | 44 | 5 | | 45 | 10 | | 46 | 37 | | 47 | 3 | | 48 | 2 | | 49 | 4 |
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| 56.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.35714285714285715 | | totalSentences | 98 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 57 | | matches | | 0 | "Instead, he reached into his" | | 1 | "Instead, she drained the rest" | | 2 | "Instead, he reached into his" |
| | ratio | 0.053 | |
| 51.58% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 57 | | matches | | 0 | "His eyes flicked over her—black" | | 1 | "She laughed, sharp and sudden." | | 2 | "He hadn’t changed, not really." | | 3 | "She shrugged, but her fingers" | | 4 | "He slid onto the stool," | | 5 | "His fingers tapped against the" | | 6 | "She raised an eyebrow." | | 7 | "She unfolded it." | | 8 | "She exhaled through her nose." | | 9 | "His voice was low, almost" | | 10 | "She folded the clipping back" | | 11 | "She looked away, her gaze" | | 12 | "she finished for him, her" | | 13 | "She turned to face him," | | 14 | "She laughed, but there was" | | 15 | "She looked at him, really" | | 16 | "he said softly" | | 17 | "She didn’t answer." | | 18 | "He just watched as she" | | 19 | "She paused, her back to" |
| | ratio | 0.421 | |
| 3.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 57 | | matches | | 0 | "The glass slipped from her" | | 1 | "The ice cubes clinked against" | | 2 | "The voice was deeper than" | | 3 | "Silas stood there, his signet" | | 4 | "His eyes flicked over her—black" | | 5 | "She laughed, sharp and sudden." | | 6 | "He hadn’t changed, not really." | | 7 | "The same auburn streaked with" | | 8 | "Silas gestured to the stool" | | 9 | "She shrugged, but her fingers" | | 10 | "He slid onto the stool," | | 11 | "The bartender—a new face, young," | | 12 | "Silas took the glass, swirled" | | 13 | "His fingers tapped against the" | | 14 | "She raised an eyebrow." | | 15 | "The words hung between them," | | 16 | "Rory took a sip of" | | 17 | "Silas didn’t answer right away." | | 18 | "She unfolded it." | | 19 | "A newspaper clipping, yellowed at" |
| | ratio | 0.912 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 32.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 4 | | matches | | 0 | "The same auburn streaked with grey, the same slight limp in his left leg, the same way he carried himself like a man who’d seen too much and decided to keep the…" | | 1 | "She looked away, her gaze landing on the neon green sign above the door, the way it flickered slightly, like it was struggling to stay lit." | | 2 | "The lines on his face, the way his hazel eyes had lost some of their sharpness, the way he held himself like a man who’d spent too long carrying the weight of t…" | | 3 | "She walked out without another word, the door swinging shut behind her with a finality that echoed in the empty space between them." |
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| 9.62% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 3 | | matches | | 0 | "His fingers tapped, restless" | | 1 | "Silas leaned, his voice dropping" | | 2 | "she finished, her voice bitter" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 47 | | tagDensity | 0.17 | | leniency | 0.34 | | rawRatio | 0.125 | | effectiveRatio | 0.043 | |