| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 6 | | adverbTags | | 0 | "Nina stepped further [further]" | | 1 | "Rory gestured vaguely [vaguely]" | | 2 | "Nina said finally [finally]" | | 3 | "she said carefully [carefully]" | | 4 | "Nina said quietly [quietly]" | | 5 | "Nina said slowly [slowly]" |
| | dialogueSentences | 87 | | tagDensity | 0.322 | | leniency | 0.644 | | rawRatio | 0.214 | | effectiveRatio | 0.138 | |
| 85.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2059 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "carefully" | | 2 | "really" | | 3 | "slightly" |
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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) | |
| 63.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2059 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "flickered" | | 1 | "silk" | | 2 | "familiar" | | 3 | "unreadable" | | 4 | "glinting" | | 5 | "traced" | | 6 | "comforting" | | 7 | "comfortable" | | 8 | "trembled" | | 9 | "silence" | | 10 | "weight" | | 11 | "navigate" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 107 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 163 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2045 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 30 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 78 | | wordCount | 1347 | | uniqueNames | 9 | | maxNameDensity | 2.38 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Nina" | | discoveredNames | | Rory | 32 | | Raven | 1 | | Nest | 3 | | Covent | 1 | | Garden | 1 | | Silas | 9 | | Nina | 29 | | Okonkwo | 1 | | Cardiff | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Nina" | | 4 | "Okonkwo" |
| | places | | 0 | "Nest" | | 1 | "Covent" | | 2 | "Garden" | | 3 | "Cardiff" |
| | globalScore | 0.312 | | windowScore | 0 | |
| 51.32% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like an invitation she couldn't re" | | 1 | "looked like she'd never worn anything thr" | | 2 | "quite a smile" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.978 | | wordCount | 2045 | | matches | | 0 | "not forgiveness, not yet, but something adjacent to it" | | 1 | "not yet, but something adjacent to it" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 163 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 89 | | mean | 22.98 | | std | 19.66 | | cv | 0.856 | | sampleLengths | | 0 | 72 | | 1 | 57 | | 2 | 45 | | 3 | 13 | | 4 | 35 | | 5 | 30 | | 6 | 6 | | 7 | 71 | | 8 | 17 | | 9 | 10 | | 10 | 36 | | 11 | 67 | | 12 | 19 | | 13 | 40 | | 14 | 7 | | 15 | 15 | | 16 | 85 | | 17 | 11 | | 18 | 25 | | 19 | 29 | | 20 | 17 | | 21 | 6 | | 22 | 15 | | 23 | 26 | | 24 | 24 | | 25 | 5 | | 26 | 38 | | 27 | 6 | | 28 | 2 | | 29 | 4 | | 30 | 38 | | 31 | 2 | | 32 | 2 | | 33 | 44 | | 34 | 8 | | 35 | 9 | | 36 | 5 | | 37 | 30 | | 38 | 24 | | 39 | 25 | | 40 | 3 | | 41 | 6 | | 42 | 50 | | 43 | 53 | | 44 | 5 | | 45 | 38 | | 46 | 2 | | 47 | 1 | | 48 | 7 | | 49 | 14 |
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| 95.43% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 107 | | matches | | 0 | "being asked" | | 1 | "was cropped" | | 2 | "was gone" | | 3 | "was left" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 241 | | matches | | 0 | "was waiting" | | 1 | "was picking" | | 2 | "was watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 163 | | ratio | 0.067 | | matches | | 0 | "The voice was familiar in the way that a song from childhood is familiar—you don't remember the words, but your body remembers the feeling." | | 1 | "The Nina she'd known—Nina Okonkwo, who'd lived two floors up in her residence hall at Cardiff, who'd taught her how to pick a lock with a hairpin and kissed her once at a house party before laughing it off as a joke—that Nina had worn threadbare jumpers and dreamed of becoming a human rights lawyer." | | 2 | "Something flickered across Nina's face—too quick to identify, but Rory felt it like a change in air pressure." | | 3 | "Rory traced the crescent-shaped scar on her left wrist—an old habit, comforting in its familiarity." | | 4 | "Her hand went to the collar of her coat, fidgeting with a button—a gesture Rory remembered from years ago, from exam seasons and difficult conversations and the night Nina had confessed that her father had never forgiven her for choosing law over medicine." | | 5 | "At the other end of the bar, Silas was conspicuously not looking at them, his attention fixed on the bookshelf against the back wall—the one that, Rory knew, hid a room where much stranger conversations than this one took place." | | 6 | "The sharp assessment was still there, but underneath it was something else—something that looked almost like grief." | | 7 | "Rory looked at her—really looked, past the expensive coat and the sharp haircut and the careful armor of success." | | 8 | "Rory felt something loosen in her chest—not forgiveness, not yet, but something adjacent to it." | | 9 | "Her hand brushed Rory's shoulder as she passed—a touch so light it might have been accidental." | | 10 | "He set down a glass of whiskey—the good stuff, she noticed—and said nothing at all." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1364 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 53 | | adverbRatio | 0.038856304985337244 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.010263929618768328 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 163 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 163 | | mean | 12.55 | | std | 9.98 | | cv | 0.796 | | sampleLengths | | 0 | 22 | | 1 | 50 | | 2 | 6 | | 3 | 28 | | 4 | 23 | | 5 | 21 | | 6 | 24 | | 7 | 13 | | 8 | 15 | | 9 | 20 | | 10 | 28 | | 11 | 2 | | 12 | 6 | | 13 | 20 | | 14 | 4 | | 15 | 19 | | 16 | 28 | | 17 | 17 | | 18 | 10 | | 19 | 24 | | 20 | 12 | | 21 | 24 | | 22 | 24 | | 23 | 6 | | 24 | 13 | | 25 | 15 | | 26 | 4 | | 27 | 25 | | 28 | 15 | | 29 | 7 | | 30 | 7 | | 31 | 8 | | 32 | 13 | | 33 | 5 | | 34 | 55 | | 35 | 12 | | 36 | 7 | | 37 | 4 | | 38 | 15 | | 39 | 3 | | 40 | 7 | | 41 | 16 | | 42 | 13 | | 43 | 10 | | 44 | 7 | | 45 | 6 | | 46 | 12 | | 47 | 3 | | 48 | 18 | | 49 | 8 |
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| 56.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3619631901840491 | | totalSentences | 163 | | uniqueOpeners | 59 | |
| 66.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 100 | | matches | | 0 | "Then she reached into her" | | 1 | "Then she was gone, disappearing" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 100 | | matches | | 0 | "She hadn't planned to stop" | | 1 | "He nodded at her as" | | 2 | "he asked, setting down a" | | 3 | "Her dark hair was cropped" | | 4 | "Her eyes landed on Rory," | | 5 | "It wasn't a question." | | 6 | "He knew when to make" | | 7 | "It was one of the" | | 8 | "she said carefully" | | 9 | "Her hand went to the" | | 10 | "She stopped herself" | | 11 | "She flattened them against the" | | 12 | "she said, so quietly Rory" | | 13 | "she heard herself say" | | 14 | "She finished her drink in" | | 15 | "Her hand brushed Rory's shoulder" | | 16 | "she said without turning around" | | 17 | "He set down a glass" |
| | ratio | 0.18 | |
| 45.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 100 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "The delivery bag slung over" | | 2 | "She hadn't planned to stop" | | 3 | "The flat upstairs was waiting," | | 4 | "Silas was behind the bar," | | 5 | "He nodded at her as" | | 6 | "he asked, setting down a" | | 7 | "Rory pulled off her jacket" | | 8 | "Silas's silver signet ring caught" | | 9 | "The door opened behind her," | | 10 | "Rory didn't turn around." | | 11 | "People came and went from" | | 12 | "The old maps on the" | | 13 | "The voice was familiar in" | | 14 | "Rory's fingers tightened around her" | | 15 | "The woman standing in the" | | 16 | "Her dark hair was cropped" | | 17 | "Silas said, and there was" | | 18 | "Nina stepped further into the" | | 19 | "Her eyes landed on Rory," |
| | ratio | 0.83 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 15.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 8 | | matches | | 0 | "The flat upstairs was waiting, with its radiator that clanked like a dying animal and the stack of library books she'd been meaning to return for two weeks." | | 1 | "Silas was behind the bar, polishing glasses with the careful attention of a man who'd spent decades noticing details others missed." | | 2 | "The old maps on the walls seemed to absorb secrets, and the black-and-white photographs of places that might have been anywhere watched over the proceedings wit…" | | 3 | "Her dark hair was cropped short now, severe, a far cry from the wild curls that used to escape from every ponytail she attempted." | | 4 | "The Nina she'd known—Nina Okonkwo, who'd lived two floors up in her residence hall at Cardiff, who'd taught her how to pick a lock with a hairpin and kissed her…" | | 5 | "Her hand went to the collar of her coat, fidgeting with a button—a gesture Rory remembered from years ago, from exam seasons and difficult conversations and the…" | | 6 | "The sharp assessment was still there, but underneath it was something else—something that looked almost like grief." | | 7 | "Underneath it all, she could see the girl who'd once cried in a library stairwell because she'd gotten a B on a paper she'd worked on for weeks." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory gestured vaguely, her haircut, the expensive watch glinting at her wrist" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 87 | | tagDensity | 0.138 | | leniency | 0.276 | | rawRatio | 0 | | effectiveRatio | 0 | |