| 77.55% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "His mouth quirked just [just]" | | 1 | "he said quietly [quietly]" | | 2 | "Her voice cracked just [just]" |
| | dialogueSentences | 49 | | tagDensity | 0.367 | | leniency | 0.735 | | rawRatio | 0.167 | | effectiveRatio | 0.122 | |
| 89.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1365 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "really" |
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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) | |
| 48.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1365 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "measured" | | 3 | "glinting" | | 4 | "unreadable" | | 5 | "silence" | | 6 | "implication" | | 7 | "unravel" | | 8 | "flickered" | | 9 | "tracing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 104 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 134 | | 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 | 3 | | markdownWords | 3 | | totalWords | 1350 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1133 | | uniqueNames | 8 | | maxNameDensity | 1.32 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Cardiff | 4 | | Rory | 12 | | Silas | 15 | | Blackwood | 1 | | Evan | 2 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Evan" |
| | places | | | globalScore | 0.838 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1350 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 134 | | matches | | 0 | "realize that Cardiff" | | 1 | "expected that answer" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 24.55 | | std | 25.13 | | cv | 1.024 | | sampleLengths | | 0 | 93 | | 1 | 6 | | 2 | 86 | | 3 | 6 | | 4 | 65 | | 5 | 5 | | 6 | 44 | | 7 | 16 | | 8 | 13 | | 9 | 66 | | 10 | 5 | | 11 | 29 | | 12 | 8 | | 13 | 48 | | 14 | 11 | | 15 | 3 | | 16 | 2 | | 17 | 17 | | 18 | 102 | | 19 | 12 | | 20 | 10 | | 21 | 6 | | 22 | 6 | | 23 | 6 | | 24 | 2 | | 25 | 4 | | 26 | 25 | | 27 | 11 | | 28 | 9 | | 29 | 23 | | 30 | 13 | | 31 | 15 | | 32 | 3 | | 33 | 21 | | 34 | 7 | | 35 | 64 | | 36 | 6 | | 37 | 4 | | 38 | 58 | | 39 | 26 | | 40 | 9 | | 41 | 8 | | 42 | 44 | | 43 | 25 | | 44 | 68 | | 45 | 6 | | 46 | 25 | | 47 | 33 | | 48 | 2 | | 49 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 104 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 216 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 134 | | ratio | 0.067 | | matches | | 0 | "Rory had been coming here for months, ever since she’d fled Cardiff, but tonight the bar felt different—smaller, somehow, as if the years had pressed in around her." | | 1 | "She hadn’t seen him in—what?" | | 2 | "The Raven’s Nest had always been *his*—a place of secrets and half-truths, where men in tailored suits drank whiskey like it was water and women with sharp eyes traded information like currency." | | 3 | "Silas exhaled through his nose, a sound that might have been amusement or frustration—she couldn’t tell." | | 4 | "It had only been two nights, really—two nights of blurred lights and antiseptic smells, of her mother crying in the hallway and her father pretending not to." | | 5 | "Silas reached across the table, his fingers brushing against hers—just for a second, just enough to make her breath catch." | | 6 | "She looked away, her gaze landing on the old photographs lining the walls—the black-and-white images of men in trench coats, of women with cigarettes dangling from their fingers, of a London that no longer existed." | | 7 | "Rory thought of all the times she’d walked past this bar, all the times she’d considered coming inside, all the times she’d told herself it was better this way—cleaner, safer." | | 8 | "Something flickered in his eyes—something sad, something resigned." |
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| 97.62% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1147 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 49 | | adverbRatio | 0.042720139494333044 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010462074978204011 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 134 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 134 | | mean | 10.07 | | std | 8.44 | | cv | 0.838 | | sampleLengths | | 0 | 23 | | 1 | 28 | | 2 | 21 | | 3 | 21 | | 4 | 6 | | 5 | 17 | | 6 | 19 | | 7 | 30 | | 8 | 20 | | 9 | 6 | | 10 | 6 | | 11 | 5 | | 12 | 2 | | 13 | 1 | | 14 | 26 | | 15 | 19 | | 16 | 6 | | 17 | 5 | | 18 | 16 | | 19 | 8 | | 20 | 20 | | 21 | 9 | | 22 | 7 | | 23 | 9 | | 24 | 4 | | 25 | 3 | | 26 | 6 | | 27 | 32 | | 28 | 25 | | 29 | 3 | | 30 | 2 | | 31 | 24 | | 32 | 5 | | 33 | 6 | | 34 | 2 | | 35 | 26 | | 36 | 11 | | 37 | 11 | | 38 | 2 | | 39 | 2 | | 40 | 2 | | 41 | 5 | | 42 | 3 | | 43 | 2 | | 44 | 13 | | 45 | 4 | | 46 | 13 | | 47 | 11 | | 48 | 32 | | 49 | 13 |
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| 47.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.29850746268656714 | | totalSentences | 134 | | uniqueOpeners | 40 | |
| 79.37% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 84 | | matches | | 0 | "Then his hazel eyes found" | | 1 | "Then he smiled, just a" |
| | ratio | 0.024 | |
| 72.38% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 84 | | matches | | 0 | "She sat at her usual" | | 1 | "She hadn’t expected to see" | | 2 | "He moved with the same" | | 3 | "He paused just inside the" | | 4 | "She hadn’t seen him in—what?" | | 5 | "He’d left before the wake," | | 6 | "He stopped at her table," | | 7 | "he said, and the sound" | | 8 | "She managed a smile, though" | | 9 | "His mouth quirked, just slightly" | | 10 | "She had, actually." | | 11 | "She’d spent her teenage years" | | 12 | "He studied her, his gaze" | | 13 | "She resisted the urge to" | | 14 | "he said quietly" | | 15 | "She wanted to ask what," | | 16 | "She’d wanted to travel, to" | | 17 | "She’d ignored him, of course." | | 18 | "She almost laughed." | | 19 | "His expression darkened, just for" |
| | ratio | 0.369 | |
| 61.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 84 | | matches | | 0 | "The Raven’s Nest smelled of" | | 1 | "Rory had been coming here" | | 2 | "She sat at her usual" | | 3 | "The green neon sign outside" | | 4 | "She hadn’t expected to see" | | 5 | "The door swung open, and" | | 6 | "He moved with the same" | | 7 | "He paused just inside the" | | 8 | "Rory’s fingers tightened around her" | | 9 | "She hadn’t seen him in—what?" | | 10 | "The last time had been" | | 11 | "He’d left before the wake," | | 12 | "Some doors were better left" | | 13 | "Silas crossed the room in" | | 14 | "He stopped at her table," | | 15 | "he said, and the sound" | | 16 | "She managed a smile, though" | | 17 | "His mouth quirked, just slightly" | | 18 | "She had, actually." | | 19 | "The Raven’s Nest had always" |
| | ratio | 0.798 | |
| 59.52% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 84 | | matches | | | ratio | 0.012 | |
| 76.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 4 | | matches | | 0 | "Rory had been coming here for months, ever since she’d fled Cardiff, but tonight the bar felt different—smaller, somehow, as if the years had pressed in around …" | | 1 | "Silas pulled out the chair across from her and sat, his movements careful, as if he were afraid the wood might splinter under him." | | 2 | "He studied her, his gaze lingering on the crescent-shaped scar on her wrist, the one she’d gotten falling out of a tree when she was twelve." | | 3 | "She looked away, her gaze landing on the old photographs lining the walls—the black-and-white images of men in trench coats, of women with cigarettes dangling f…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 2 | | fancyTags | | 0 | "he agreed (agree)" | | 1 | "she admitted (admit)" |
| | dialogueSentences | 49 | | tagDensity | 0.265 | | leniency | 0.531 | | rawRatio | 0.154 | | effectiveRatio | 0.082 | |