| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 3 | | adverbTags | | 0 | "she stated flatly [flatly]" | | 1 | "He paused then [then]" | | 2 | "Silas said quietly [quietly]" |
| | dialogueSentences | 50 | | tagDensity | 0.54 | | leniency | 1 | | rawRatio | 0.111 | | effectiveRatio | 0.111 | |
| 54.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1216 | | totalAiIsmAdverbs | 11 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "passionately" | | count | 1 |
| | 4 | | | 5 | | | 6 | |
| | highlights | | 0 | "utterly" | | 1 | "really" | | 2 | "very" | | 3 | "passionately" | | 4 | "quickly" | | 5 | "slightly" | | 6 | "slowly" |
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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 | 1216 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "rhythmic" | | 1 | "pulse" | | 2 | "comfortable" | | 3 | "predictable" | | 4 | "scanned" | | 5 | "flicker" | | 6 | "unreadable" | | 7 | "unspoken" | | 8 | "etched" | | 9 | "silence" | | 10 | "desire" | | 11 | "resolve" | | 12 | "navigating" | | 13 | "reminder" | | 14 | "unwavering" | | 15 | "flicked" | | 16 | "stark" | | 17 | "dance" | | 18 | "newfound" | | 19 | "gloom" | | 20 | "warmth" | | 21 | "chilling" |
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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 | 0 | | narrationSentences | 79 | | matches | (empty) | |
| 88.61% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1223 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 897 | | uniqueNames | 5 | | maxNameDensity | 0.78 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Evan | 1 | | Silas | 7 | | Rory | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Evan" | | 3 | "Silas" | | 4 | "Rory" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "something akin to admiration in his eyes" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1223 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 34.94 | | std | 18.81 | | cv | 0.538 | | sampleLengths | | 0 | 69 | | 1 | 60 | | 2 | 49 | | 3 | 14 | | 4 | 52 | | 5 | 50 | | 6 | 14 | | 7 | 34 | | 8 | 60 | | 9 | 12 | | 10 | 11 | | 11 | 30 | | 12 | 58 | | 13 | 67 | | 14 | 9 | | 15 | 43 | | 16 | 7 | | 17 | 18 | | 18 | 59 | | 19 | 22 | | 20 | 28 | | 21 | 49 | | 22 | 23 | | 23 | 21 | | 24 | 19 | | 25 | 32 | | 26 | 15 | | 27 | 25 | | 28 | 27 | | 29 | 35 | | 30 | 19 | | 31 | 26 | | 32 | 53 | | 33 | 48 | | 34 | 65 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 67.55% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 151 | | matches | | 0 | "was offering" | | 1 | "was hunting, was hunting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 102 | | ratio | 0.088 | | matches | | 0 | "The sharp angles of her face, the way her black hair fell straight and dark, the unmistakable brightness of those blue eyes – they hadn’t aged a day." | | 1 | "A memory, sharp and unwelcome, pricked at his mind – Evan." | | 2 | "He’d wanted to reach out, to offer a hand, but something – pride, perhaps, or a fatalistic understanding of human nature – had kept him silent." | | 3 | "She finally looked at him then, and for a moment, he saw a flicker of the girl he’d known – the girl with the quick wit and the boundless optimism." | | 4 | "He recognized the telltale signs of someone who’d been through the grinder – the guardedness, the reluctance to offer details, the faint scent of danger clinging to her like rain." | | 5 | "As he moved to refill her glass, he noticed a small, almost invisible scar on her left wrist – a crescent shaped reminder of a childhood accident, a detail he’d almost forgotten." | | 6 | "He flicked it open, the small flame briefly illuminating her face – stark, resolute, and utterly alone." | | 7 | "She met his gaze, and for the first time, he saw a glimmer of the old Rory – the girl who’d once dreamed of changing the world." | | 8 | "He was offering her a chance—a slim, perilous chance—to reclaim the woman she’d lost." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 890 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, tarnished silver lighter." |
| | adverbCount | 35 | | adverbRatio | 0.03932584269662921 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.019101123595505618 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 11.99 | | std | 7.65 | | cv | 0.638 | | sampleLengths | | 0 | 19 | | 1 | 29 | | 2 | 17 | | 3 | 4 | | 4 | 22 | | 5 | 1 | | 6 | 6 | | 7 | 28 | | 8 | 1 | | 9 | 1 | | 10 | 1 | | 11 | 22 | | 12 | 9 | | 13 | 5 | | 14 | 4 | | 15 | 9 | | 16 | 14 | | 17 | 10 | | 18 | 13 | | 19 | 4 | | 20 | 14 | | 21 | 11 | | 22 | 35 | | 23 | 10 | | 24 | 5 | | 25 | 14 | | 26 | 11 | | 27 | 14 | | 28 | 9 | | 29 | 11 | | 30 | 4 | | 31 | 8 | | 32 | 26 | | 33 | 11 | | 34 | 6 | | 35 | 6 | | 36 | 11 | | 37 | 14 | | 38 | 16 | | 39 | 9 | | 40 | 28 | | 41 | 16 | | 42 | 5 | | 43 | 30 | | 44 | 8 | | 45 | 14 | | 46 | 15 | | 47 | 7 | | 48 | 2 | | 49 | 8 |
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| 53.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.37254901960784315 | | totalSentences | 102 | | uniqueOpeners | 38 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Then she walked in." | | 1 | "Even the rain outside seemed" |
| | ratio | 0.027 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 75 | | matches | | 0 | "He hadn’t seen a face" | | 1 | "It wasn’t a question, not" | | 2 | "She scanned the room, a" | | 3 | "she said, her voice low," | | 4 | "He turned, setting down the" | | 5 | "He didn’t smile" | | 6 | "She didn’t move, simply studied" | | 7 | "she replied, the words clipped" | | 8 | "He leaned against the bar," | | 9 | "She took a slow, deliberate" | | 10 | "Her eyes didn't waver" | | 11 | "He’d wanted to reach out," | | 12 | "he observed, more a statement" | | 13 | "she stated flatly" | | 14 | "he pointed out, gesturing towards" | | 15 | "she said, the word tasting" | | 16 | "She avoided his gaze, focusing" | | 17 | "He remembered her ambitions at" | | 18 | "She finally looked at him" | | 19 | "It vanished quickly, replaced by" |
| | ratio | 0.653 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 75 | | matches | | 0 | "The rain hammered against the" | | 1 | "Silas polished a glass behind" | | 2 | "He hadn’t seen a face" | | 3 | "The door opened with a" | | 4 | "It wasn’t a question, not" | | 5 | "The sharp angles of her" | | 6 | "She scanned the room, a" | | 7 | "A pause, thick with unspoken" | | 8 | "The music seemed to fade." | | 9 | "The chatter died down." | | 10 | "she said, her voice low," | | 11 | "He turned, setting down the" | | 12 | "The silver signet ring on" | | 13 | "He didn’t smile" | | 14 | "There hadn’t been a genuine" | | 15 | "She didn’t move, simply studied" | | 16 | "she replied, the words clipped" | | 17 | "He leaned against the bar," | | 18 | "She took a slow, deliberate" | | 19 | "Her eyes didn't waver" |
| | ratio | 0.92 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "Now, there was a pragmatism" |
| | ratio | 0.013 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "The door opened with a reluctant groan, admitting a gust of rain and a woman who looked utterly, impossibly, like a ghost." | | 1 | "He recognized the telltale signs of someone who’d been through the grinder – the guardedness, the reluctance to offer details, the faint scent of danger clingin…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 7 | | matches | | 0 | "she replied, the words clipped and precise" | | 1 | "she said, her voice barely audible above the music" | | 2 | "she said, the word laced with cynicism" | | 3 | "she said, her voice distant" | | 4 | "Silas said, his gaze unwavering" | | 5 | "she said, her voice tight" | | 6 | "she declared, her voice gaining a newfound strength" |
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| 30.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 6 | | fancyTags | | 0 | "he observed (observe)" | | 1 | "she stated flatly (state)" | | 2 | "Silas inquired (inquire)" | | 3 | "she admitted (admit)" | | 4 | "he observed (observe)" | | 5 | "she declared (declare)" |
| | dialogueSentences | 50 | | tagDensity | 0.34 | | leniency | 0.68 | | rawRatio | 0.353 | | effectiveRatio | 0.24 | |