| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 31 | | tagDensity | 0.516 | | leniency | 1 | | rawRatio | 0.063 | | effectiveRatio | 0.063 | |
| 95.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1067 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 48.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1067 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "familiar" | | 1 | "flickered" | | 2 | "flicker" | | 3 | "charged" | | 4 | "stomach" | | 5 | "pulse" | | 6 | "raced" | | 7 | "footsteps" | | 8 | "furrowed" | | 9 | "weight" | | 10 | "firmly" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "let out a breath" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | 0 | "let out a breath" | | 1 | "eyes narrowed" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 54 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1062 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 27.68% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 654 | | uniqueNames | 4 | | maxNameDensity | 2.45 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | | persons | | 0 | "Eva" | | 1 | "Aurora" | | 2 | "Evan" | | 3 | "Silas" |
| | places | (empty) | | globalScore | 0.277 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 11.68% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.883 | | wordCount | 1062 | | matches | | 0 | "not in accusation but in something quieter" | | 1 | "not just the years lost, but the chances she’d let slip because fear had silenced her" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 57.57% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 40.85 | | std | 14.36 | | cv | 0.351 | | sampleLengths | | 0 | 69 | | 1 | 12 | | 2 | 33 | | 3 | 40 | | 4 | 39 | | 5 | 52 | | 6 | 47 | | 7 | 47 | | 8 | 50 | | 9 | 54 | | 10 | 57 | | 11 | 27 | | 12 | 49 | | 13 | 53 | | 14 | 29 | | 15 | 56 | | 16 | 44 | | 17 | 9 | | 18 | 46 | | 19 | 36 | | 20 | 16 | | 21 | 46 | | 22 | 38 | | 23 | 21 | | 24 | 45 | | 25 | 47 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 117 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 70 | | ratio | 0.057 | | matches | | 0 | "Aurora’s breath caught; the face was familiar, yet the lines around the eyes were deeper, the smile tighter." | | 1 | "A sudden crash erupted from the back room—a bottle shattering against the wall, followed by a sharp yell." | | 2 | "She felt the weight of time pressing down—not just the years lost, but the chances she’d let slip because fear had silenced her." | | 3 | "The bar’s low chatter resumed, but Aurora’s thoughts were elsewhere—on a courtroom she had never imagined entering, on a promise she had made to herself years ago to never be helpless again." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 437 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.020594965675057208 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 15.17 | | std | 8.36 | | cv | 0.551 | | sampleLengths | | 0 | 25 | | 1 | 13 | | 2 | 13 | | 3 | 18 | | 4 | 12 | | 5 | 11 | | 6 | 14 | | 7 | 8 | | 8 | 11 | | 9 | 20 | | 10 | 9 | | 11 | 10 | | 12 | 26 | | 13 | 3 | | 14 | 9 | | 15 | 43 | | 16 | 6 | | 17 | 27 | | 18 | 14 | | 19 | 3 | | 20 | 31 | | 21 | 13 | | 22 | 10 | | 23 | 22 | | 24 | 18 | | 25 | 7 | | 26 | 31 | | 27 | 16 | | 28 | 8 | | 29 | 28 | | 30 | 21 | | 31 | 3 | | 32 | 7 | | 33 | 11 | | 34 | 6 | | 35 | 6 | | 36 | 25 | | 37 | 18 | | 38 | 3 | | 39 | 26 | | 40 | 16 | | 41 | 8 | | 42 | 16 | | 43 | 13 | | 44 | 6 | | 45 | 33 | | 46 | 17 | | 47 | 18 | | 48 | 9 | | 49 | 17 |
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| 42.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.24285714285714285 | | totalSentences | 70 | | uniqueOpeners | 17 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 49.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 54 | | matches | | 0 | "She slid onto the stool" | | 1 | "She pressed her palms flat" | | 2 | "She paused, the glass of" | | 3 | "She tapped the scar on" | | 4 | "She took a sip, the" | | 5 | "She let out a breath" | | 6 | "She set her glass down" | | 7 | "She glanced at the shelves" | | 8 | "She leaned forward, voice dropping" | | 9 | "She hadn’t heard Evan’s name" | | 10 | "She paused, searching Aurora’s face" | | 11 | "She had buried those memories" | | 12 | "she said, voice barely above" | | 13 | "She reached out, then hesitated," | | 14 | "he barked, eyes darting between" | | 15 | "She tossed a few notes" | | 16 | "She turned and left, the" | | 17 | "he said quietly" | | 18 | "She felt the weight of" | | 19 | "She set the glass down" |
| | ratio | 0.426 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 54 | | matches | | 0 | "Aurora wiped the rim of" | | 1 | "The bell above the door" | | 2 | "A woman in a charcoal" | | 3 | "Aurora’s breath caught; the face" | | 4 | "Aurora’s voice came out softer" | | 5 | "Eva’s hazel eyes flickered to" | | 6 | "She slid onto the stool" | | 7 | "Aurora set the glass down," | | 8 | "She pressed her palms flat" | | 9 | "Eva lifted a hand, signalling" | | 10 | "She paused, the glass of" | | 11 | "Aurora laughed, a short sound" | | 12 | "She tapped the scar on" | | 13 | "Eva’s gaze lingered on the" | | 14 | "She took a sip, the" | | 15 | "Aurora’s shoulders tightened." | | 16 | "She let out a breath" | | 17 | "Eva’s eyes narrowed, not in" | | 18 | "She set her glass down" | | 19 | "A flicker of guilt crossed" |
| | ratio | 0.981 | |
| 92.59% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 54 | | matches | | 0 | "Now they threatened to surface," |
| | ratio | 0.019 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 7 | | matches | | 0 | "She paused, the glass of amber liquid arriving before she could finish" | | 1 | "She took, the liquid catching the light" | | 2 | "She leaned, voice dropping" | | 3 | "she said, voice barely above the low murmur of conversation" | | 4 | "he barked, eyes darting between them" | | 5 | "She tossed, enough to cover her drink and more" | | 6 | "she said, her voice steadier than she felt" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 31 | | tagDensity | 0.129 | | leniency | 0.258 | | rawRatio | 0.25 | | effectiveRatio | 0.065 | |