| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 39 | | tagDensity | 0.436 | | leniency | 0.872 | | rawRatio | 0.059 | | effectiveRatio | 0.051 | |
| 72.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1275 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slowly" | | 1 | "perfectly" | | 2 | "slightly" | | 3 | "really" | | 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) | |
| 37.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1275 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "familiar" | | 1 | "traced" | | 2 | "chill" | | 3 | "sanctuary" | | 4 | "etched" | | 5 | "could feel" | | 6 | "weight" | | 7 | "unreadable" | | 8 | "unspoken" | | 9 | "whisper" | | 10 | "facade" | | 11 | "chilling" | | 12 | "silence" | | 13 | "profound" |
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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 | "hung in the air" | | count | 1 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1263 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 980 | | uniqueNames | 13 | | maxNameDensity | 0.71 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Aurora | 4 | | London | 2 | | Silas | 7 | | Davies | 1 | | Cardiff | 1 | | Evan | 1 | | Eva | 1 | | Yu-Fei | 1 | | Liam | 7 | | Rory | 1 | | Carter | 1 |
| | persons | | 0 | "Raven" | | 1 | "Aurora" | | 2 | "Silas" | | 3 | "Davies" | | 4 | "Evan" | | 5 | "Eva" | | 6 | "Yu-Fei" | | 7 | "Liam" | | 8 | "Rory" | | 9 | "Carter" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a costume she had shed, ill-f" | | 1 | "felt like it belonged to someone else" |
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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 | 1263 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 33.24 | | std | 27.97 | | cv | 0.842 | | sampleLengths | | 0 | 107 | | 1 | 16 | | 2 | 5 | | 3 | 101 | | 4 | 23 | | 5 | 18 | | 6 | 10 | | 7 | 50 | | 8 | 40 | | 9 | 2 | | 10 | 38 | | 11 | 14 | | 12 | 45 | | 13 | 63 | | 14 | 90 | | 15 | 7 | | 16 | 24 | | 17 | 12 | | 18 | 12 | | 19 | 5 | | 20 | 48 | | 21 | 57 | | 22 | 18 | | 23 | 47 | | 24 | 22 | | 25 | 8 | | 26 | 25 | | 27 | 25 | | 28 | 12 | | 29 | 2 | | 30 | 31 | | 31 | 26 | | 32 | 96 | | 33 | 42 | | 34 | 16 | | 35 | 64 | | 36 | 12 | | 37 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 63.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 147 | | matches | | 0 | "was listening" | | 1 | "wasn't seeing" | | 2 | "was seeing" |
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| 88.44% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 105 | | ratio | 0.019 | | matches | | 0 | "He gestured around the bar, a hint of something—pity, maybe, or just confusion—in the sweep of his hand." | | 1 | "He placed a small glass of amber liquid next to her hand—not water." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 667 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.029985007496251874 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.010494752623688156 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 12.03 | | std | 7.06 | | cv | 0.587 | | sampleLengths | | 0 | 22 | | 1 | 17 | | 2 | 21 | | 3 | 17 | | 4 | 16 | | 5 | 14 | | 6 | 11 | | 7 | 5 | | 8 | 5 | | 9 | 2 | | 10 | 8 | | 11 | 12 | | 12 | 16 | | 13 | 29 | | 14 | 7 | | 15 | 1 | | 16 | 4 | | 17 | 22 | | 18 | 7 | | 19 | 16 | | 20 | 18 | | 21 | 10 | | 22 | 29 | | 23 | 21 | | 24 | 13 | | 25 | 12 | | 26 | 15 | | 27 | 2 | | 28 | 7 | | 29 | 15 | | 30 | 16 | | 31 | 9 | | 32 | 5 | | 33 | 12 | | 34 | 6 | | 35 | 13 | | 36 | 14 | | 37 | 20 | | 38 | 37 | | 39 | 6 | | 40 | 11 | | 41 | 7 | | 42 | 16 | | 43 | 9 | | 44 | 13 | | 45 | 34 | | 46 | 7 | | 47 | 12 | | 48 | 12 | | 49 | 8 |
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| 51.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3904761904761905 | | totalSentences | 105 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 84 | | matches | | 0 | "She traced the condensation on" | | 1 | "He wiped down the counter," | | 2 | "She turned slowly on her" | | 3 | "He wore a tailored navy" | | 4 | "His face was fuller, etched" | | 5 | "He broke into a wide," | | 6 | "He gestured around the bar," | | 7 | "Her voice was flat, offering" | | 8 | "He pulled out the stool" | | 9 | "She could feel Silas’s gaze," | | 10 | "He didn't look over, just" | | 11 | "He glanced at her water" | | 12 | "She pushed her glass forward" | | 13 | "He nodded, a slow, awkward" | | 14 | "He turned back to the" | | 15 | "He trailed off, seeing the" | | 16 | "He leaned in, his voice" | | 17 | "His face was a picture" | | 18 | "He stared into his whisky," | | 19 | "He looked up, his gaze" |
| | ratio | 0.595 | |
| 19.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 84 | | matches | | 0 | "The low hum of The" | | 1 | "She traced the condensation on" | | 2 | "He wiped down the counter," | | 3 | "This was her sanctuary, the" | | 4 | "A voice cut through the" | | 5 | "A voice from another lifetime." | | 6 | "The name felt like a" | | 7 | "She turned slowly on her" | | 8 | "He wore a tailored navy" | | 9 | "Recognition washed over her, cold" | | 10 | "Liam Davies from Cardiff." | | 11 | "His face was fuller, etched" | | 12 | "He broke into a wide," | | 13 | "He gestured around the bar," | | 14 | "Her voice was flat, offering" | | 15 | "He pulled out the stool" | | 16 | "Aurora took a slow sip" | | 17 | "She could feel Silas’s gaze," | | 18 | "He didn't look over, just" | | 19 | "Liam flagged down Silas" |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 86.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 3 | | matches | | 0 | "She turned slowly on her stool, her eyes finding the man standing a few feet away." | | 1 | "He was seeing the woman who sat before him now: cool-headed, her bright blue eyes holding a depth he couldn't possibly fathom." | | 2 | "He was an intruder in a world that had its own language, its own gravity." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 5 | | matches | | 0 | "He turned back, his shoulders stiff" | | 1 | "He leaned in, his voice dropping to a conspiratorial whisper" | | 2 | "she said, her tone cool" | | 3 | "he said, his voice barely a whisper" | | 4 | "he murmured, his voice a low rumble" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 39 | | tagDensity | 0.103 | | leniency | 0.205 | | rawRatio | 0.25 | | effectiveRatio | 0.051 | |