| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 37 | | adverbTagCount | 3 | | adverbTags | | 0 | "Rory's fingers tightened around [around]" | | 1 | "Silas said finally [finally]" | | 2 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 39 | | tagDensity | 0.949 | | leniency | 1 | | rawRatio | 0.081 | | effectiveRatio | 0.081 | |
| 83.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1480 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "gently" | | 3 | "suddenly" | | 4 | "truly" |
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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) | |
| 76.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1480 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "flickered" | | 1 | "scanning" | | 2 | "predator" | | 3 | "silence" | | 4 | "weight" | | 5 | "unreadable" | | 6 | "familiar" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "the air was thick with" |
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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 | 2 | | narrationSentences | 68 | | filterMatches | (empty) | | hedgeMatches | | |
| 0.00% | 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 | 1 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1476 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 972 | | uniqueNames | 13 | | maxNameDensity | 1.23 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Soho | 1 | | London | 4 | | Golden | 1 | | Empress | 1 | | Raven | 2 | | Nest | 2 | | Cardiff | 1 | | Rory | 12 | | Pre-Law | 1 | | Blackwood | 1 | | Silas | 10 | | Evan | 1 | | Five | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Blackwood" | | 4 | "Silas" | | 5 | "Evan" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 0.883 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "as if protecting his left side" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.678 | | wordCount | 1476 | | matches | | 0 | "not as a thief, but as a sculptor" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 68 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 1 | | mean | 0 | | std | 0 | | cv | 0 | | sampleLengths | | |
| 84.62% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 68 | | matches | | 0 | "been nineteen" | | 1 | "was known" | | 2 | "being unpacked" | | 3 | "been broken" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 163 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 68 | | ratio | 0.059 | | matches | | 0 | "Rory pulled her jacket tighter against the London drizzle, the crescent-shaped scar on her left wrist tingling—a superstition she'd picked up from her grandmother about scar tissue sensing changes in weather or fortune." | | 1 | "Five years in London had changed her—hardened edges that hadn't existed at twenty, a wariness in her gaze that hadn't been there when she'd been a Pre-Law student with a brilliant future ahead." | | 2 | "His hazel eyes crinkled at the corners as he smiled, but the slight limp in his left leg was new—something she hadn't seen in the man who used to move with the fluid grace of a predator." | | 3 | "Tonight, she had found him again, and in his weathered face and limping stride, she had seen the passage of time not as a thief, but as a sculptor—carving new contours into familiar landscapes, creating something new from what had been there all along." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 984 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02540650406504065 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.014227642276422764 | |
| 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 | 21.71 | | std | 11.58 | | cv | 0.533 | | sampleLengths | | 0 | 18 | | 1 | 33 | | 2 | 25 | | 3 | 3 | | 4 | 6 | | 5 | 20 | | 6 | 20 | | 7 | 12 | | 8 | 27 | | 9 | 19 | | 10 | 33 | | 11 | 8 | | 12 | 22 | | 13 | 9 | | 14 | 17 | | 15 | 26 | | 16 | 37 | | 17 | 13 | | 18 | 32 | | 19 | 11 | | 20 | 28 | | 21 | 4 | | 22 | 43 | | 23 | 18 | | 24 | 11 | | 25 | 21 | | 26 | 14 | | 27 | 19 | | 28 | 8 | | 29 | 21 | | 30 | 14 | | 31 | 22 | | 32 | 33 | | 33 | 32 | | 34 | 16 | | 35 | 35 | | 36 | 23 | | 37 | 21 | | 38 | 19 | | 39 | 6 | | 40 | 12 | | 41 | 19 | | 42 | 50 | | 43 | 37 | | 44 | 40 | | 45 | 28 | | 46 | 53 | | 47 | 13 | | 48 | 27 | | 49 | 24 |
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| 69.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.47058823529411764 | | totalSentences | 68 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 34.93% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 67 | | matches | | 0 | "She'd been delivering food for" | | 1 | "She slid onto a barstool," | | 2 | "she told the bartender, her" | | 3 | "He was taller than her" | | 4 | "His hazel eyes crinkled at" | | 5 | "she breathed, the name foreign" | | 6 | "He settled onto the stool" | | 7 | "He signaled the bartender" | | 8 | "She studied his face, the" | | 9 | "He tapped his knee" | | 10 | "She'd been nineteen when Silas" | | 11 | "He'd warned her about that" | | 12 | "she said, and she meant" | | 13 | "He turned his body slightly" | | 14 | "she shook her head" | | 15 | "His eyes softened" | | 16 | "She trailed off, not needing" | | 17 | "Her voice was flat, the" | | 18 | "She pulled her hand back" | | 19 | "They sat in silence for" |
| | ratio | 0.463 | |
| 34.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 67 | | matches | | 0 | "The green neon sign flickered" | | 1 | "Rory pulled her jacket tighter" | | 2 | "She'd been delivering food for" | | 3 | "The Raven's Nest." | | 4 | "The name meant nothing to" | | 5 | "She slid onto a barstool," | | 6 | "she told the bartender, her" | | 7 | "The bartender nodded and moved" | | 8 | "The voice came from behind" | | 9 | "Rory turned slowly, her breath" | | 10 | "Silas Blackwood stood there, his" | | 11 | "He was taller than her" | | 12 | "His hazel eyes crinkled at" | | 13 | "she breathed, the name foreign" | | 14 | "He settled onto the stool" | | 15 | "He signaled the bartender" | | 16 | "Rory said, the words escaping" | | 17 | "Silas's laugh lines deepened." | | 18 | "She studied his face, the" | | 19 | "The bartender delivered their drinks," |
| | ratio | 0.851 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 5 | | matches | | 0 | "She'd been delivering food for Golden Empress in the neighborhood when the rain had started, and she'd ducked into the first establishment that offered shelter." | | 1 | "Dim lighting illuminated walls covered with old maps and black-and-white photographs, creating an atmosphere that hovered between nostalgic and mysterious." | | 2 | "Five years in London had changed her—hardened edges that hadn't existed at twenty, a wariness in her gaze that hadn't been there when she'd been a Pre-Law stude…" | | 3 | "He was taller than her by half a foot, still carrying that quiet authority that had intimidated her when she'd first met him as a teenager." | | 4 | "His hazel eyes crinkled at the corners as he smiled, but the slight limp in his left leg was new—something she hadn't seen in the man who used to move with the …" |
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| 57.43% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 37 | | uselessAdditionCount | 5 | | matches | | 0 | "Rory said, the words escaping before she could stop them" | | 1 | "He turned, his gaze intense" | | 2 | "She trailed, not needing to finish the sentence" | | 3 | "They sat in, the weight of years between them" | | 4 | "Silas studied, his expression unreadable" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "she breathed (breathe)" |
| | dialogueSentences | 39 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0.167 | | effectiveRatio | 0.051 | |