| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 1 | | adverbTags | | 0 | "Declan said quietly [quietly]" |
| | dialogueSentences | 50 | | tagDensity | 0.46 | | leniency | 0.92 | | rawRatio | 0.043 | | effectiveRatio | 0.04 | |
| 91.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1806 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 47.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1806 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "familiar" | | 1 | "traced" | | 2 | "gloom" | | 3 | "scanned" | | 4 | "silk" | | 5 | "crystal" | | 6 | "flickered" | | 7 | "silence" | | 8 | "coded" | | 9 | "weight" | | 10 | "unspoken" | | 11 | "fractured" | | 12 | "reminder" | | 13 | "trembled" | | 14 | "gleaming" | | 15 | "tracing" |
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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 | 124 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 124 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 151 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1791 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 31 | | unquotedAttributions | 1 | | matches | | 0 | "Outside, London continued its indifferent rain." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1342 | | uniqueNames | 20 | | maxNameDensity | 0.97 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Declan" | | discoveredNames | | Raven | 2 | | Nest | 2 | | November | 1 | | Golden | 2 | | Empress | 2 | | Prague | 1 | | Rory | 13 | | Carter | 1 | | Cardiff | 2 | | Byrne | 2 | | Silas | 7 | | English | 1 | | London | 3 | | Declan | 13 | | Evan | 3 | | Commercial | 1 | | Equity | 1 | | Dr | 1 | | Associates | 1 | | Scotch | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Carter" | | 4 | "Byrne" | | 5 | "Silas" | | 6 | "Declan" | | 7 | "Evan" | | 8 | "Dr" |
| | places | | 0 | "Golden" | | 1 | "Prague" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 91.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 2 | | matches | | 0 | "as if listening for lies" | | 1 | "as if preparing for a quick escape" |
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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 | 1791 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 151 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 28.89 | | std | 22.68 | | cv | 0.785 | | sampleLengths | | 0 | 84 | | 1 | 48 | | 2 | 53 | | 3 | 9 | | 4 | 13 | | 5 | 3 | | 6 | 50 | | 7 | 19 | | 8 | 1 | | 9 | 41 | | 10 | 60 | | 11 | 17 | | 12 | 41 | | 13 | 5 | | 14 | 3 | | 15 | 3 | | 16 | 42 | | 17 | 50 | | 18 | 35 | | 19 | 5 | | 20 | 8 | | 21 | 25 | | 22 | 24 | | 23 | 9 | | 24 | 25 | | 25 | 28 | | 26 | 10 | | 27 | 18 | | 28 | 17 | | 29 | 11 | | 30 | 12 | | 31 | 18 | | 32 | 65 | | 33 | 21 | | 34 | 15 | | 35 | 19 | | 36 | 8 | | 37 | 2 | | 38 | 83 | | 39 | 69 | | 40 | 26 | | 41 | 21 | | 42 | 100 | | 43 | 4 | | 44 | 15 | | 45 | 56 | | 46 | 56 | | 47 | 22 | | 48 | 61 | | 49 | 54 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 124 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 221 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 151 | | ratio | 0.053 | | matches | | 0 | "Maps covered the walls—faded topographies of places that no longer existed, their creases holding decades of cigarette smoke." | | 1 | "But the jaw was the same, and the way he held his head—slightly tilted, as if listening for lies." | | 2 | "He always noticed details—that had been his gift during their moot court days, catching the inconsistencies in depositions, the tells in body language." | | 3 | "Rory looked at her reflection in the mirror behind the bar—a ghost among the bottles." | | 4 | "The weight of it settled between them—three years, the unspoken regret, the complicity of silence." | | 5 | "\"—delivering noodles to people who don't know what you can do. What you know. The Commercial Equity paper you wrote, the one Dr. Williams said was publication-worthy, and you're—\"" | | 6 | "Her throat tightened around the unsaid things—the apology for leaving, the explanation that wouldn't fit in a conversation, the regret that she hadn't been strong enough to stay and fight both Evan and the expectations that had caged her." | | 7 | "He withdrew a business card—heavy stock, embossed lettering." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 745 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.025503355704697986 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008053691275167786 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 151 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 151 | | mean | 11.86 | | std | 9.32 | | cv | 0.786 | | sampleLengths | | 0 | 16 | | 1 | 14 | | 2 | 14 | | 3 | 18 | | 4 | 22 | | 5 | 6 | | 6 | 8 | | 7 | 17 | | 8 | 17 | | 9 | 7 | | 10 | 11 | | 11 | 13 | | 12 | 22 | | 13 | 4 | | 14 | 5 | | 15 | 7 | | 16 | 6 | | 17 | 3 | | 18 | 11 | | 19 | 24 | | 20 | 15 | | 21 | 14 | | 22 | 5 | | 23 | 1 | | 24 | 9 | | 25 | 5 | | 26 | 27 | | 27 | 2 | | 28 | 18 | | 29 | 21 | | 30 | 19 | | 31 | 6 | | 32 | 11 | | 33 | 6 | | 34 | 10 | | 35 | 6 | | 36 | 13 | | 37 | 6 | | 38 | 5 | | 39 | 3 | | 40 | 3 | | 41 | 9 | | 42 | 4 | | 43 | 29 | | 44 | 6 | | 45 | 10 | | 46 | 9 | | 47 | 2 | | 48 | 23 | | 49 | 8 |
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| 42.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2847682119205298 | | totalSentences | 151 | | uniqueOpeners | 43 | |
| 62.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 107 | | matches | | 0 | "Then his eyes found her." | | 1 | "Then he was gone." |
| | ratio | 0.019 | |
| 51.78% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 107 | | matches | | 0 | "She peeled off her delivery" | | 1 | "Her hair, black and cut" | | 2 | "His grey-streaked auburn beard framed" | | 3 | "He limped slightly as he" | | 4 | "She didn't reach for the" | | 5 | "He stepped inside, shaking rain" | | 6 | "He scanned the room with" | | 7 | "She was Rory to the" | | 8 | "His hair, once shaggy and" | | 9 | "Her voice came out steady" | | 10 | "She had learned steadiness in" | | 11 | "He wore a silk tie" | | 12 | "He looked at her hair," | | 13 | "His gaze snagged on her" | | 14 | "He withdrew to the far" | | 15 | "Her jeans, faded at the" | | 16 | "She wore trainers with a" | | 17 | "He always noticed details—that had" | | 18 | "He didn't sit." | | 19 | "He stood with his coat" |
| | ratio | 0.421 | |
| 16.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 107 | | matches | | 0 | "The green neon above The" | | 1 | "Rory pushed through the heavy" | | 2 | "Maps covered the walls—faded topographies" | | 3 | "She peeled off her delivery" | | 4 | "The Golden Empress logo crumpled" | | 5 | "Her hair, black and cut" | | 6 | "The crescent scar on her" | | 7 | "Silas looked up from wiping" | | 8 | "His grey-streaked auburn beard framed" | | 9 | "The silver signet ring on" | | 10 | "He limped slightly as he" | | 11 | "Rory traced the scar with" | | 12 | "She didn't reach for the" | | 13 | "The door opened." | | 14 | "A man stood silhouetted against" | | 15 | "He stepped inside, shaking rain" | | 16 | "He scanned the room with" | | 17 | "The name landed like a" | | 18 | "Nobody here called her that." | | 19 | "She was Rory to the" |
| | ratio | 0.888 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 107 | | matches | (empty) | | ratio | 0 | |
| 16.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 9 | | matches | | 0 | "A man stood silhouetted against the street, briefcase in hand, wool coat tailored sharp across shoulders that had broadened since she last saw them." | | 1 | "He always noticed details—that had been his gift during their moot court days, catching the inconsistencies in depositions, the tells in body language." | | 2 | "Her eyes, bright blue and too large for her face, stared back with the hard glaze of someone who had learned to sleep with one eye open." | | 3 | "The scar on her wrist caught the light again, that small crescent moon of childhood clumsiness that had nothing to do with Evan but everything to do with how sh…" | | 4 | "Or he had failed to look closely enough at the girl he'd studied beside for three years, the girl who organized his notes when he was sick, who had once been ca…" | | 5 | "He looked at Silas, who was polishing the same glass he'd been polishing for ten minutes." | | 6 | "The girl who argued tort law with passionate precision, who believed in systems and structures and the protective architecture of the legal world." | | 7 | "Her throat tightened around the unsaid things—the apology for leaving, the explanation that wouldn't fit in a conversation, the regret that she hadn't been stro…" | | 8 | "The maps on the walls showed borders that had shifted, countries that had renamed themselves, territories that no longer recognized their old names." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 2 | | fancyTags | | 0 | "Declan continued (continue)" | | 1 | "Declan whispered (whisper)" |
| | dialogueSentences | 50 | | tagDensity | 0.26 | | leniency | 0.52 | | rawRatio | 0.154 | | effectiveRatio | 0.08 | |