| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Silas said softly [softly]" |
| | dialogueSentences | 27 | | tagDensity | 0.37 | | leniency | 0.741 | | rawRatio | 0.1 | | effectiveRatio | 0.074 | |
| 91.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1691 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "carefully" | | 1 | "really" | | 2 | "softly" |
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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) | |
| 46.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1691 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pulsed" | | 1 | "rhythmic" | | 2 | "tracing" | | 3 | "cataloged" | | 4 | "weight" | | 5 | "etched" | | 6 | "structure" | | 7 | "navigate" | | 8 | "could feel" | | 9 | "warmth" | | 10 | "pulse" | | 11 | "silence" | | 12 | "scanning" | | 13 | "calculating" |
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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 | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 113 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1691 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 887 | | uniqueNames | 12 | | maxNameDensity | 1.47 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 2 | | Rory | 13 | | Raven | 1 | | Nest | 1 | | Blackwood | 1 | | Prague | 1 | | Spymaster | 1 | | London | 1 | | Evan | 2 | | Soho | 1 | | Silas | 13 | | Cardiff | 1 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Raven" | | 3 | "Blackwood" | | 4 | "Evan" | | 5 | "Silas" |
| | places | | 0 | "Prague" | | 1 | "London" | | 2 | "Soho" | | 3 | "Cardiff" |
| | globalScore | 0.767 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "tick that seemed to count the seconds of regret hanging between them" |
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| 81.73% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.183 | | wordCount | 1691 | | matches | | 0 | "not a weapon, but a folded newspaper" | | 1 | "not as a shield, but as fuel" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 96.62% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 62.63 | | std | 30.57 | | cv | 0.488 | | sampleLengths | | 0 | 88 | | 1 | 66 | | 2 | 82 | | 3 | 71 | | 4 | 39 | | 5 | 50 | | 6 | 60 | | 7 | 24 | | 8 | 69 | | 9 | 15 | | 10 | 89 | | 11 | 23 | | 12 | 70 | | 13 | 23 | | 14 | 125 | | 15 | 90 | | 16 | 32 | | 17 | 66 | | 18 | 80 | | 19 | 72 | | 20 | 12 | | 21 | 46 | | 22 | 119 | | 23 | 63 | | 24 | 31 | | 25 | 72 | | 26 | 114 |
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| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 67 | | matches | | 0 | "were plastered" | | 1 | "been redacted" | | 2 | "were fixed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 152 | | matches | | |
| 74.83% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 84 | | ratio | 0.024 | | matches | | 0 | "\"My regret isn't that you changed. Life demands change. My regret is that I brought you here thinking I could offer a harbor, when what you needed was a weapon. I treated you like a refugee when you're a survivor. And survivors don't need hiding; they need a target.\"" | | 1 | "The weight of time hadn't vanished; it had only settled, heavy and solid, into the foundation of who she was becoming." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 893 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.029115341545352745 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.012318029115341545 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 20.13 | | std | 19.72 | | cv | 0.979 | | sampleLengths | | 0 | 21 | | 1 | 17 | | 2 | 32 | | 3 | 11 | | 4 | 7 | | 5 | 11 | | 6 | 27 | | 7 | 28 | | 8 | 12 | | 9 | 28 | | 10 | 19 | | 11 | 23 | | 12 | 5 | | 13 | 29 | | 14 | 23 | | 15 | 14 | | 16 | 6 | | 17 | 15 | | 18 | 18 | | 19 | 17 | | 20 | 16 | | 21 | 17 | | 22 | 10 | | 23 | 11 | | 24 | 13 | | 25 | 26 | | 26 | 4 | | 27 | 20 | | 28 | 6 | | 29 | 21 | | 30 | 4 | | 31 | 4 | | 32 | 7 | | 33 | 19 | | 34 | 8 | | 35 | 15 | | 36 | 6 | | 37 | 83 | | 38 | 6 | | 39 | 13 | | 40 | 4 | | 41 | 12 | | 42 | 58 | | 43 | 10 | | 44 | 13 | | 45 | 12 | | 46 | 113 | | 47 | 16 | | 48 | 74 | | 49 | 6 |
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| 45.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.34523809523809523 | | totalSentences | 84 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 51.25% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 64 | | matches | | 0 | "She preferred the burn of" | | 1 | "His left leg dragged, a" | | 2 | "She cataloged him as always:" | | 3 | "She had lived above his" | | 4 | "She knew the map of" | | 5 | "His voice was a low" | | 6 | "She kept her voice even," | | 7 | "He didn't sit so much" | | 8 | "He placed a coaster between" | | 9 | "He reached into his coat" | | 10 | "Her face was half-turned, jaw" | | 11 | "He gestured vaguely to his" | | 12 | "She wanted to deny it," | | 13 | "He saw the angles in" | | 14 | "she whispered, the words tasting" | | 15 | "He reached out, his hand" | | 16 | "He tapped the signet ring" | | 17 | "He placed a heavy hand" | | 18 | "He leaned down, his voice" | | 19 | "He didn't look back." |
| | ratio | 0.422 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 64 | | matches | | 0 | "The green neon sign above" | | 1 | "Aurora Carter, known here as" | | 2 | "She preferred the burn of" | | 3 | "Awareness kept ankles unbroken and" | | 4 | "The establishment was a labyrinth" | | 5 | "The walls were plastered with" | | 6 | "Rory's bright blue eyes, usually" | | 7 | "Silas Blackwood moved with the" | | 8 | "His left leg dragged, a" | | 9 | "Rory didn't look up immediately." | | 10 | "She cataloged him as always:" | | 11 | "She had lived above his" | | 12 | "She knew the map of" | | 13 | "His voice was a low" | | 14 | "Rory's left hand twitched, her" | | 15 | "She kept her voice even," | | 16 | "Silas repeated, pulling out the" | | 17 | "He didn't sit so much" | | 18 | "He placed a coaster between" | | 19 | "Rory met his gaze." |
| | ratio | 0.922 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 48.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 5 | | matches | | 0 | "Aurora Carter, known here as Rory, sat in the shadowed corner of The Raven's Nest, her fingers tracing the condensation weeping down a tumbler of whiskey she ha…" | | 1 | "His left leg dragged, a slight but unmistakable hitch that marked the old injury from Prague, a limp that whispered of failures buried under decades of quiet au…" | | 2 | "He reached out, his hand hovering over the table before withdrawing, respecting the invisible barrier she'd erected." | | 3 | "Silas straightened, the silver ring catching the neon pulse one last time before he turned toward the bookshelf that concealed the secret room." | | 4 | "And as the neon pulsed on, Rory watched the bar, her eyes scanning, calculating, and finally, quietly, waking up." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 3 | | matches | | 0 | "Silas corrected, his tone devoid of apology" | | 1 | "Rory snapped, the old fire flaring" | | 2 | "Silas leaned, the years etched deep around his eyes" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 5 | | fancyTags | | 0 | "Silas repeated (repeat)" | | 1 | "Silas corrected (correct)" | | 2 | "Rory snapped (snap)" | | 3 | "she whispered (whisper)" | | 4 | "Silas murmured (murmur)" |
| | dialogueSentences | 27 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.556 | | effectiveRatio | 0.37 | |