| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 4 | | adverbTags | | 0 | "His lips curled again [again]" | | 1 | "she asked softly [softly]" | | 2 | "His gaze flickered away [away]" | | 3 | "she said softly [softly]" |
| | dialogueSentences | 34 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0.25 | | effectiveRatio | 0.235 | |
| 73.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1125 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "slowly" | | 3 | "sharply" |
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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 | 1125 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "traced" | | 1 | "familiar" | | 2 | "etched" | | 3 | "raced" | | 4 | "unspoken" | | 5 | "flickered" | | 6 | "warmth" | | 7 | "reminder" | | 8 | "flicked" | | 9 | "silence" | | 10 | "stomach" | | 11 | "lurched" | | 12 | "flicker" | | 13 | "weight" | | 14 | "pounding" | | 15 | "pulse" | | 16 | "whisper" | | 17 | "calculated" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "eyes widened" | | 1 | "the weight of this moment" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 68 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1109 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 786 | | uniqueNames | 6 | | maxNameDensity | 0.76 | | worstName | "Evan" | | maxWindowNameDensity | 2 | | worstWindowName | "Evan" | | discoveredNames | | Carter | 1 | | Aurora | 5 | | Evan | 6 | | Soho | 1 | | Silas | 2 | | Blackwood | 2 |
| | persons | | 0 | "Carter" | | 1 | "Aurora" | | 2 | "Evan" | | 3 | "Silas" | | 4 | "Blackwood" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "as if trying to read her, to gauge her reaction" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.902 | | wordCount | 1109 | | matches | | 0 | "not bothering you,\" a familiar voice drawled, uneven but softened by years" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 27.73 | | std | 16.24 | | cv | 0.586 | | sampleLengths | | 0 | 73 | | 1 | 14 | | 2 | 61 | | 3 | 5 | | 4 | 30 | | 5 | 11 | | 6 | 28 | | 7 | 73 | | 8 | 20 | | 9 | 32 | | 10 | 29 | | 11 | 16 | | 12 | 31 | | 13 | 22 | | 14 | 31 | | 15 | 15 | | 16 | 26 | | 17 | 27 | | 18 | 38 | | 19 | 37 | | 20 | 9 | | 21 | 15 | | 22 | 8 | | 23 | 32 | | 24 | 20 | | 25 | 21 | | 26 | 40 | | 27 | 29 | | 28 | 51 | | 29 | 43 | | 30 | 46 | | 31 | 6 | | 32 | 14 | | 33 | 34 | | 34 | 21 | | 35 | 17 | | 36 | 12 | | 37 | 13 | | 38 | 37 | | 39 | 22 |
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| 94.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 68 | | matches | | 0 | "was broken" | | 1 | "been left" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 149 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 86 | | ratio | 0.105 | | matches | | 0 | "The stranger had aged—lines etched across a face once smooth, hair thinning into streaks of silver, and the confident posture now slightly hunched." | | 1 | "But it was the eyes—those unsettling hazel eyes—that caught her, flickering with a mixture of mischief and something else, something darker." | | 2 | "Aurora's mind raced back, to the Evan she once knew—the cocky, reckless boy who’d made her laugh in spite of everything, who’d promised he’d always keep her safe." | | 3 | "But that boy had vanished; she could see that now, just beneath the surface of this stranger." | | 4 | "The quiet malice in his expression, the shadows behind his eyes—things she had never seen before." | | 5 | "He shot her a quick glance, a flicker of annoyance—then softened, momentarily vulnerable." | | 6 | "But his eyes flicked to her scar again, and she saw it—the tug of guilt lurking beneath." | | 7 | "Behind the bar, a figure slipped through the door to the secret room—Silas Blackwood—his long gray hair shadowing his face, a rifle in his grip." | | 8 | "Silence was broken only by the muffled voices that grew louder from the back room—uncertain, hurried, desperate." |
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| 84.62% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 799 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.057571964956195244 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.01877346683354193 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 12.9 | | std | 6.72 | | cv | 0.521 | | sampleLengths | | 0 | 25 | | 1 | 24 | | 2 | 24 | | 3 | 14 | | 4 | 3 | | 5 | 14 | | 6 | 23 | | 7 | 21 | | 8 | 4 | | 9 | 1 | | 10 | 7 | | 11 | 23 | | 12 | 7 | | 13 | 4 | | 14 | 7 | | 15 | 21 | | 16 | 28 | | 17 | 17 | | 18 | 16 | | 19 | 12 | | 20 | 12 | | 21 | 8 | | 22 | 5 | | 23 | 22 | | 24 | 5 | | 25 | 11 | | 26 | 18 | | 27 | 16 | | 28 | 24 | | 29 | 7 | | 30 | 11 | | 31 | 11 | | 32 | 9 | | 33 | 22 | | 34 | 3 | | 35 | 12 | | 36 | 12 | | 37 | 14 | | 38 | 19 | | 39 | 8 | | 40 | 6 | | 41 | 13 | | 42 | 19 | | 43 | 13 | | 44 | 8 | | 45 | 16 | | 46 | 9 | | 47 | 15 | | 48 | 8 | | 49 | 13 |
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| 71.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.43023255813953487 | | totalSentences | 86 | | uniqueOpeners | 37 | |
| 49.02% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 68 | | matches | | 0 | "Then, without warning, he glanced" |
| | ratio | 0.015 | |
| 2.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 68 | | matches | | 0 | "She looked up." | | 1 | "She blinked, heartbeat quickening." | | 2 | "He chuckled, a rough, almost" | | 3 | "His gaze roamed the dim" | | 4 | "She tried to keep her" | | 5 | "He let out a half-smile," | | 6 | "His fingers drummed against the" | | 7 | "She took a slow sip" | | 8 | "He shrugged, a little hesitant." | | 9 | "His lips curled again, more" | | 10 | "She wondered if he felt" | | 11 | "she asked softly, the words" | | 12 | "He hesitated before replying, His" | | 13 | "She winced at the tone," | | 14 | "His gaze flickered away, then" | | 15 | "His smile softened, with a" | | 16 | "She fingered her left wrist" | | 17 | "He leaned forward, voice lowering" | | 18 | "She studied him, the man" | | 19 | "she asked, voice almost dismissive" |
| | ratio | 0.544 | |
| 18.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 68 | | matches | | 0 | "Aurora Carter sat at the" | | 1 | "The faint hum of conversations" | | 2 | "a familiar voice drawled, uneven" | | 3 | "She looked up." | | 4 | "The stranger had aged—lines etched" | | 5 | "She blinked, heartbeat quickening." | | 6 | "He chuckled, a rough, almost" | | 7 | "His gaze roamed the dim" | | 8 | "She tried to keep her" | | 9 | "He let out a half-smile," | | 10 | "His fingers drummed against the" | | 11 | "Aurora's mind raced back, to" | | 12 | "The quiet malice in his" | | 13 | "Time had carved its own" | | 14 | "She took a slow sip" | | 15 | "He shrugged, a little hesitant." | | 16 | "His lips curled again, more" | | 17 | "A pause rippled between them," | | 18 | "She wondered if he felt" | | 19 | "she asked softly, the words" |
| | ratio | 0.882 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 3 | | matches | | 0 | "Aurora's mind raced back, to the Evan she once knew—the cocky, reckless boy who’d made her laugh in spite of everything, who’d promised he’d always keep her saf…" | | 1 | "The girl who’d once believed in promises and innocence now battle-hardened, guarded." | | 2 | "Silence was broken only by the muffled voices that grew louder from the back room—uncertain, hurried, desperate." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 5 | | matches | | 0 | "she asked softly, the words slipping out almost reflexively" | | 1 | "He leaned, voice lowering" | | 2 | "she asked, voice almost dismissive" | | 3 | "She felt, her words raw and honest:" | | 4 | "Evan muttered, eyes fixed on the door" |
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| 32.35% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "a familiar voice drawled (drawl)" | | 1 | "He hesitated (hesitate)" | | 2 | "she retorted (retort)" | | 3 | "Evan muttered (mutter)" |
| | dialogueSentences | 34 | | tagDensity | 0.206 | | leniency | 0.412 | | rawRatio | 0.571 | | effectiveRatio | 0.235 | |