| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 81.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1366 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "quickly" | | 3 | "slowly" |
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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) | |
| 26.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1366 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "down her spine" | | count | 1 |
| | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | |
| | highlights | | 0 | "electric" | | 1 | "chill" | | 2 | "traced" | | 3 | "scanning" | | 4 | "rhythmic" | | 5 | "methodical" | | 6 | "sanctuary" | | 7 | "echo" | | 8 | "down her spine" | | 9 | "cacophony" | | 10 | "weight" | | 11 | "silence" | | 12 | "sturdy" | | 13 | "flicker" | | 14 | "treacherous" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "knuckles turned white" | | count | 1 |
| | 2 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "knuckles turned white" | | 2 | "sent a shiver down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 94 | | matches | (empty) | |
| 36.47% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 2 | | narrationSentences | 94 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1361 | | ratio | 0 | | matches | (empty) | |
| 13.89% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 4 | | matches | | 0 | "Rory, he said, his tone dripping with a familiarity that felt like a violation." | | 1 | "I missed you, he said, pulling out the chair opposite her." | | 2 | "Go home, Evan, she said, standing up." | | 3 | "I think so, she whispered, her hands finally starting to shake." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1361 | | uniqueNames | 9 | | maxNameDensity | 0.88 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 3 | | Silas | 10 | | Cardiff | 4 | | Evan | 10 | | Rory | 12 | | Eva | 1 | | You | 9 |
| | persons | | 0 | "Nest" | | 1 | "Silas" | | 2 | "Evan" | | 3 | "Rory" | | 4 | "Eva" | | 5 | "You" |
| | places | | 0 | "Raven" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like an anchor in a sea of driftin" | | 1 | "felt like an echo from a life she had b" | | 2 | "felt like a violation" | | 3 | "looked like a wolf contemplating a kill" |
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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 | 1361 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 45.37 | | std | 25.05 | | cv | 0.552 | | sampleLengths | | 0 | 88 | | 1 | 64 | | 2 | 93 | | 3 | 36 | | 4 | 95 | | 5 | 13 | | 6 | 75 | | 7 | 44 | | 8 | 29 | | 9 | 35 | | 10 | 44 | | 11 | 52 | | 12 | 19 | | 13 | 36 | | 14 | 51 | | 15 | 86 | | 16 | 25 | | 17 | 33 | | 18 | 41 | | 19 | 79 | | 20 | 33 | | 21 | 27 | | 22 | 13 | | 23 | 26 | | 24 | 51 | | 25 | 60 | | 26 | 27 | | 27 | 10 | | 28 | 11 | | 29 | 65 |
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| 97.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 94 | | matches | | 0 | "were supposed" | | 1 | "were supposed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 231 | | matches | | 0 | "was already mapping" | | 1 | "was watching" | | 2 | "was drifting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 2 | | flaggedSentences | 5 | | totalSentences | 94 | | ratio | 0.053 | | matches | | 0 | "The bell chimed—a sharp, dissonant sound that set her nerves on edge." | | 1 | "Silas didn't know who the man was, but he possessed an operative’s instinct for trouble; the way his shoulders tensed suggested he was already mapping the exits." | | 2 | "The weight of the miles between Cardiff and London, the three years of silence, and the sheer, exhausting effort of becoming someone else—someone sturdy—collapsed in an instant." | | 3 | "He wasn’t a monster anymore; he was a relic." | | 4 | "The weight of the three years—the nights she spent crying in Eva’s arms, the long, grueling process of stitching her own self-worth back together—pushed her forward." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1376 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.03343023255813953 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.010174418604651164 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 14.48 | | std | 9.14 | | cv | 0.631 | | sampleLengths | | 0 | 27 | | 1 | 21 | | 2 | 40 | | 3 | 23 | | 4 | 19 | | 5 | 22 | | 6 | 17 | | 7 | 12 | | 8 | 26 | | 9 | 38 | | 10 | 16 | | 11 | 19 | | 12 | 1 | | 13 | 12 | | 14 | 6 | | 15 | 13 | | 16 | 37 | | 17 | 27 | | 18 | 13 | | 19 | 13 | | 20 | 27 | | 21 | 8 | | 22 | 27 | | 23 | 10 | | 24 | 3 | | 25 | 31 | | 26 | 14 | | 27 | 15 | | 28 | 24 | | 29 | 11 | | 30 | 11 | | 31 | 17 | | 32 | 5 | | 33 | 5 | | 34 | 6 | | 35 | 8 | | 36 | 26 | | 37 | 9 | | 38 | 9 | | 39 | 8 | | 40 | 11 | | 41 | 14 | | 42 | 14 | | 43 | 8 | | 44 | 8 | | 45 | 8 | | 46 | 5 | | 47 | 14 | | 48 | 8 | | 49 | 8 |
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| 38.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.24468085106382978 | | totalSentences | 94 | | uniqueOpeners | 23 | |
| 35.84% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 93 | | matches | | 0 | "Then she thought of her" |
| | ratio | 0.011 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 55 | | totalSentences | 93 | | matches | | 0 | "She traced the half-moon ghost" | | 1 | "He wiped a glass with" | | 2 | "He looked like an anchor" | | 3 | "She didn’t look at first," | | 4 | "She looked up just as" | | 5 | "He was older, more frayed" | | 6 | "She watched his reflection in" | | 7 | "He ordered a drink, his" | | 8 | "He smiled, but it didn't" | | 9 | "It was the same smile" | | 10 | "He walked toward her table," | | 11 | "She felt the cool safety" | | 12 | "You’re a hard person to" | | 13 | "I’m surprised you bothered to" | | 14 | "Her fingers tightened around her" | | 15 | "I missed you, he said," | | 16 | "He sat down without waiting" | | 17 | "You stopped calling, stopped answering." | | 18 | "It felt like a tantrum." | | 19 | "I thought you’d come home" |
| | ratio | 0.591 | |
| 8.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 93 | | matches | | 0 | "The neon green buzzing of" | | 1 | "Rory sat in her usual" | | 2 | "She traced the half-moon ghost" | | 3 | "He wiped a glass with" | | 4 | "He looked like an anchor" | | 5 | "Rory felt the front door" | | 6 | "The bell chimed—a sharp, dissonant" | | 7 | "She didn’t look at first," | | 8 | "Something about the way the" | | 9 | "She looked up just as" | | 10 | "He was older, more frayed" | | 11 | "The air in the room" | | 12 | "Rory’s hand froze against her" | | 13 | "She watched his reflection in" | | 14 | "He ordered a drink, his" | | 15 | "Silas didn't know who the" | | 16 | "Evan turned, his eyes sweeping" | | 17 | "The weight of the miles" | | 18 | "He smiled, but it didn't" | | 19 | "It was the same smile" |
| | ratio | 0.903 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 93 | | matches | (empty) | | ratio | 0 | |
| 32.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 9 | | matches | | 0 | "She traced the half-moon ghost of a scar on her left wrist, her bright blue eyes scanning the room with the practiced detachment of someone who spent half her l…" | | 1 | "The bell chimed—a sharp, dissonant sound that set her nerves on edge." | | 2 | "He ordered a drink, his voice a low rough rasp that sent a shiver down her spine, and Silas acknowledged him with a curt, professional nod, his fingers curling …" | | 3 | "She felt the cool safety of the wall behind her, the proximity to the bookshelf that led to Silas’s sanctuary, and she forced her face into a mask of polite ind…" | | 4 | "Rory, he said, his tone dripping with a familiarity that felt like a violation." | | 5 | "The man who had once made the world feel small and dangerous was now just a man in a rumpled coat, looking tired and slightly desperate." | | 6 | "He laughed, a short, humorless sound that drew a sharp glance from the bar." | | 7 | "Hiding in a hole-in-the-wall, serving people who don't even look you in the face?" | | 8 | "Her father, the barrister who had loved the idea of her more than the girl herself, would never admit to the truth of her disappearance." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |