| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 80.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 764 | | totalAiIsmAdverbs | 3 | | 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) | |
| 21.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 764 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "echoed" | | 1 | "flicked" | | 2 | "weight" | | 3 | "familiar" | | 4 | "chilled" | | 5 | "trembled" | | 6 | "traced" | | 7 | "glinting" | | 8 | "flickered" | | 9 | "flicker" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 40 | | matches | (empty) | |
| 71.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 40 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 763 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 607 | | uniqueNames | 4 | | maxNameDensity | 0.66 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 4 | | Cardiff | 1 | | Mei | 1 | | Silas | 4 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 85.90% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 1 | | matches | | 0 | "bar that seemed to hold its breath, waiting for the next wave of time to crash against its walls" |
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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 | 763 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 1 | | mean | 0 | | std | 0 | | cv | 0 | | sampleLengths | | |
| 96.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 40 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 100 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 68 | | ratio | 0.015 | | matches | | 0 | "Aurora caught Silas’s gaze across the sudden noise, seeing in it a mixture of regret and something she hadn’t seen in years—hope, fragile as the neon sign’s flicker." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 608 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.024671052631578948 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006578947368421052 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 11.22 | | std | 7.73 | | cv | 0.689 | | sampleLengths | | 0 | 12 | | 1 | 17 | | 2 | 11 | | 3 | 16 | | 4 | 18 | | 5 | 20 | | 6 | 3 | | 7 | 14 | | 8 | 2 | | 9 | 19 | | 10 | 5 | | 11 | 7 | | 12 | 4 | | 13 | 15 | | 14 | 3 | | 15 | 14 | | 16 | 3 | | 17 | 19 | | 18 | 6 | | 19 | 12 | | 20 | 6 | | 21 | 9 | | 22 | 5 | | 23 | 12 | | 24 | 24 | | 25 | 6 | | 26 | 12 | | 27 | 2 | | 28 | 12 | | 29 | 2 | | 30 | 11 | | 31 | 3 | | 32 | 15 | | 33 | 5 | | 34 | 5 | | 35 | 4 | | 36 | 6 | | 37 | 17 | | 38 | 5 | | 39 | 11 | | 40 | 11 | | 41 | 8 | | 42 | 2 | | 43 | 17 | | 44 | 7 | | 45 | 25 | | 46 | 2 | | 47 | 12 | | 48 | 7 | | 49 | 11 |
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| 57.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.35294117647058826 | | totalSentences | 68 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 40 | | matches | | 0 | "he said, voice low, the" | | 1 | "She slipped the courier jacket" | | 2 | "she replied, a smile tugging" | | 3 | "He set the glass down" | | 4 | "She laughed, a short sound" | | 5 | "His gaze flicked to the" | | 6 | "She glanced down, thumb brushing" | | 7 | "He nodded, the motion slow," | | 8 | "She ran a hand through" | | 9 | "He leaned forward, elbows on" | | 10 | "Her smile faltered, the memory" | | 11 | "She swallowed, the taste of" | | 12 | "He poured two fingers of" | | 13 | "He slid the glass toward" | | 14 | "She lifted the glass, feeling" | | 15 | "He watched her sip, the" | | 16 | "She nodded, the motion sharp." | | 17 | "She glanced toward the stairwell" | | 18 | "He let out a breath" | | 19 | "He reached under the bar," |
| | ratio | 0.725 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 40 | | matches | | 0 | "The bell above the door" | | 1 | "Silas looked up from polishing" | | 2 | "he said, voice low, the" | | 3 | "She slipped the courier jacket" | | 4 | "she replied, a smile tugging" | | 5 | "He set the glass down" | | 6 | "She laughed, a short sound" | | 7 | "His gaze flicked to the" | | 8 | "She glanced down, thumb brushing" | | 9 | "He nodded, the motion slow," | | 10 | "She ran a hand through" | | 11 | "He leaned forward, elbows on" | | 12 | "Her smile faltered, the memory" | | 13 | "Silas’s jaw tightened, the muscle" | | 14 | "She swallowed, the taste of" | | 15 | "He poured two fingers of" | | 16 | "Aurora’s breath hitched, the words" | | 17 | "He slid the glass toward" | | 18 | "She lifted the glass, feeling" | | 19 | "He watched her sip, the" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "She glanced toward the stairwell that led to her rooms, the wooden steps creaking under unseen feet." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice low, the bar’s hum dropping around them" | | 1 | "He poured, the liquid catching the glow of the neon sign outside" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 0 | | effectiveRatio | 0 | |