| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "The words tasted like [like]" | | 1 | "He turned back [back]" |
| | dialogueSentences | 51 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.118 | | effectiveRatio | 0.078 | |
| 77.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1551 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slowly" | | 1 | "quickly" | | 2 | "softly" | | 3 | "truly" | | 4 | "really" |
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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) | |
| 48.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1551 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "throb" | | 1 | "weight" | | 2 | "predator" | | 3 | "flickered" | | 4 | "stomach" | | 5 | "silence" | | 6 | "tracing" | | 7 | "facade" | | 8 | "shattered" | | 9 | "unreadable" | | 10 | "throbbed" | | 11 | "unspoken" | | 12 | "methodical" |
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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 | 109 | | matches | (empty) | |
| 51.11% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 4 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | 0 | "began to" | | 1 | "seemed to" | | 2 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | 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 | 3 | | markdownWords | 15 | | totalWords | 1542 | | ratio | 0.01 | | matches | | 0 | "Evan." | | 1 | "Never let them see the shake in your hands." | | 2 | "I see you. Now leave." |
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| 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 | 27 | | wordCount | 1238 | | uniqueNames | 6 | | maxNameDensity | 0.81 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Rory | 7 | | Evan | 7 | | Cardiff | 1 | | Silas | 10 | | Yu-Fei | 1 | | Anya | 1 |
| | persons | | 0 | "Rory" | | 1 | "Evan" | | 2 | "Silas" | | 3 | "Anya" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 61.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 3 | | matches | | 0 | "quite match the boy she’d known" | | 1 | "tasted like a lie" | | 2 | "quite meet her gaze" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.649 | | wordCount | 1542 | | matches | | 0 | "Not the details, but… she knows there's a before" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 29.65 | | std | 18.12 | | cv | 0.611 | | sampleLengths | | 0 | 49 | | 1 | 35 | | 2 | 13 | | 3 | 90 | | 4 | 13 | | 5 | 34 | | 6 | 43 | | 7 | 24 | | 8 | 48 | | 9 | 64 | | 10 | 45 | | 11 | 45 | | 12 | 33 | | 13 | 30 | | 14 | 30 | | 15 | 25 | | 16 | 25 | | 17 | 40 | | 18 | 13 | | 19 | 19 | | 20 | 4 | | 21 | 29 | | 22 | 28 | | 23 | 44 | | 24 | 8 | | 25 | 20 | | 26 | 39 | | 27 | 21 | | 28 | 3 | | 29 | 22 | | 30 | 6 | | 31 | 12 | | 32 | 21 | | 33 | 47 | | 34 | 27 | | 35 | 44 | | 36 | 71 | | 37 | 18 | | 38 | 14 | | 39 | 2 | | 40 | 26 | | 41 | 20 | | 42 | 24 | | 43 | 23 | | 44 | 40 | | 45 | 30 | | 46 | 22 | | 47 | 22 | | 48 | 12 | | 49 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 64.64% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 197 | | matches | | 0 | "was polishing" | | 1 | "was shrugging" | | 2 | "was guiding" | | 3 | "was watching" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 140 | | ratio | 0.014 | | matches | | 0 | "He was guiding the woman—sleek dark hair, a sharp black dress—towards a booth in the corner." | | 1 | "For a heartbeat, the confident man vanished, and the boy she’d known was there in his eyes—vulnerable, surprised, and something else." |
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| 88.94% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1245 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 57 | | adverbRatio | 0.04578313253012048 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.01606425702811245 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 11.01 | | std | 7.17 | | cv | 0.651 | | sampleLengths | | 0 | 11 | | 1 | 19 | | 2 | 19 | | 3 | 10 | | 4 | 23 | | 5 | 2 | | 6 | 5 | | 7 | 7 | | 8 | 1 | | 9 | 26 | | 10 | 18 | | 11 | 21 | | 12 | 6 | | 13 | 19 | | 14 | 13 | | 15 | 11 | | 16 | 12 | | 17 | 7 | | 18 | 4 | | 19 | 21 | | 20 | 16 | | 21 | 4 | | 22 | 2 | | 23 | 11 | | 24 | 7 | | 25 | 6 | | 26 | 7 | | 27 | 8 | | 28 | 18 | | 29 | 15 | | 30 | 16 | | 31 | 24 | | 32 | 14 | | 33 | 5 | | 34 | 5 | | 35 | 8 | | 36 | 27 | | 37 | 10 | | 38 | 3 | | 39 | 18 | | 40 | 21 | | 41 | 3 | | 42 | 9 | | 43 | 11 | | 44 | 13 | | 45 | 14 | | 46 | 16 | | 47 | 15 | | 48 | 15 | | 49 | 12 |
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| 55.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.38571428571428573 | | totalSentences | 140 | | uniqueOpeners | 54 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 62 | | totalSentences | 104 | | matches | | 0 | "It hit the polished mahogany" | | 1 | "His movements were slow, deliberate," | | 2 | "She couldn't form the words." | | 3 | "Her throat had closed around" | | 4 | "He was already sliding a" | | 5 | "He was taller than she" | | 6 | "She grabbed the towel, mopping" | | 7 | "she muttered, her voice tight" | | 8 | "He was guiding the woman—sleek" | | 9 | "He hadn't seen her." | | 10 | "He was already reaching for" | | 11 | "She shook her head, the" | | 12 | "Her left wrist, the small" | | 13 | "She kept her head down," | | 14 | "She listened to the clink" | | 15 | "He sounded like a newsreader." | | 16 | "He sounded like her father." | | 17 | "It was the woman who" | | 18 | "She said something to Evan," | | 19 | "His head turned." |
| | ratio | 0.596 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 104 | | matches | | 0 | "The glass slipped from her" | | 1 | "It hit the polished mahogany" | | 2 | "Rory watched the whisky pool" | | 3 | "Silas didn’t look up from" | | 4 | "His movements were slow, deliberate," | | 5 | "She couldn't form the words." | | 6 | "Her throat had closed around" | | 7 | "He was already sliding a" | | 8 | "The man was shrugging off" | | 9 | "He was taller than she" | | 10 | "The same pale, almost grey" | | 11 | "Silas’s voice was low, a" | | 12 | "She grabbed the towel, mopping" | | 13 | "The sharp, peaty scent of" | | 14 | "she muttered, her voice tight" | | 15 | "Evan’s laugh cut through the" | | 16 | "He was guiding the woman—sleek" | | 17 | "He hadn't seen her." | | 18 | "Silas asked, his tone neutral" | | 19 | "He was already reaching for" |
| | ratio | 0.933 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 4 | | matches | | 0 | "He was already sliding a fresh towel across the bar to her, his hazel eyes following her gaze to the man who had just walked in." | | 1 | "His gaze flickered over her shoulder to Silas, who was still polishing glasses, a silent, watchful presence." | | 2 | "Delivering noodles for Yu-Fei and living above a spy’s bar, looking over her shoulder for a ghost from a past that had left a permanent scar on her wrist?" | | 3 | "Evan looked at the older man, really looked at him, taking in the steady gaze, the slight limp as Silas moved, the quiet authority that radiated from him." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 6 | | matches | | 0 | "she muttered, her voice tight" | | 1 | "Silas asked, his tone neutral" | | 2 | "He leaned, his voice dropping" | | 3 | "She didn't, the words escaping like a sigh" | | 4 | "Silas said, his voice a gravelly interruption" | | 5 | "He turned back, and the mask was fully back in place, the moment of vulnerability gone" |
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| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "She didn't (do)" | | 2 | "he murmured (murmur)" |
| | dialogueSentences | 51 | | tagDensity | 0.157 | | leniency | 0.314 | | rawRatio | 0.375 | | effectiveRatio | 0.118 | |