| 70.97% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "a recognition aimed just [just]" | | 1 | "Rory said softly [softly]" |
| | dialogueSentences | 31 | | tagDensity | 0.29 | | leniency | 0.581 | | rawRatio | 0.222 | | effectiveRatio | 0.129 | |
| 94.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 890 | | totalAiIsmAdverbs | 1 | | 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) | |
| 21.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 890 | | totalAiIsms | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "flicked" | | 1 | "scanning" | | 2 | "familiar" | | 3 | "reminder" | | 4 | "weight" | | 5 | "flicker" | | 6 | "traced" | | 7 | "eyebrow" | | 8 | "tracing" | | 9 | "silence" | | 10 | "echoes" | | 11 | "footsteps" | | 12 | "the last thing" |
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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 | 52 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 74 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 876 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.29% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 657 | | uniqueNames | 8 | | maxNameDensity | 1.67 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Raven | 2 | | Nest | 2 | | Blackwood | 1 | | Silas | 11 | | Rory | 8 | | Prague | 1 | | London | 1 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Blackwood" | | 4 | "Silas" | | 5 | "Rory" |
| | places | | | globalScore | 0.663 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed so insignificant small and distant now" | | 1 | "something close to amusement" | | 2 | "felt like a tomb for memories better le" |
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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 | 876 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 19.91 | | std | 13.63 | | cv | 0.685 | | sampleLengths | | 0 | 70 | | 1 | 31 | | 2 | 43 | | 3 | 42 | | 4 | 23 | | 5 | 19 | | 6 | 20 | | 7 | 10 | | 8 | 47 | | 9 | 15 | | 10 | 10 | | 11 | 9 | | 12 | 9 | | 13 | 24 | | 14 | 6 | | 15 | 22 | | 16 | 22 | | 17 | 44 | | 18 | 14 | | 19 | 12 | | 20 | 23 | | 21 | 10 | | 22 | 24 | | 23 | 7 | | 24 | 20 | | 25 | 18 | | 26 | 20 | | 27 | 10 | | 28 | 25 | | 29 | 19 | | 30 | 22 | | 31 | 15 | | 32 | 29 | | 33 | 27 | | 34 | 38 | | 35 | 11 | | 36 | 2 | | 37 | 2 | | 38 | 15 | | 39 | 12 | | 40 | 2 | | 41 | 10 | | 42 | 3 | | 43 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 111 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 74 | | ratio | 0.108 | | matches | | 0 | "A tall figure stepped inside, scanning the low-ceilinged room with that familiar calm, that quiet command—hazel eyes measuring everything, hair streaked grey but auburn still managing to shine through." | | 1 | "Silas carried his age like a sword—neatly trimmed beard, slight limp in the left leg—defying the slow pull of time." | | 2 | "She watched Silas scan the room, and their eyes locked—two old ghosts confronting the weight of absence." | | 3 | "Rory slid her hand down the edge of the bar, tracing the map hanging just out of easy sight—ancient London roads twisting like spilled secrets." | | 4 | "The room shrank to just them—two souls tangled in years and silence." | | 5 | "His voice dropped, fraught—“but some cut deeper.”" | | 6 | "A cigarette ember flared behind Silas’s cheek, his eyes drifting for a moment—the kind of tired that comes only from years of watching, waiting." | | 7 | "She heard footsteps approaching—the shuffle of someone closing in." |
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| 99.51% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 567 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.04056437389770723 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.012345679012345678 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 74 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 74 | | mean | 11.84 | | std | 7.18 | | cv | 0.606 | | sampleLengths | | 0 | 13 | | 1 | 14 | | 2 | 18 | | 3 | 25 | | 4 | 29 | | 5 | 2 | | 6 | 10 | | 7 | 20 | | 8 | 13 | | 9 | 25 | | 10 | 17 | | 11 | 23 | | 12 | 19 | | 13 | 14 | | 14 | 6 | | 15 | 10 | | 16 | 22 | | 17 | 25 | | 18 | 15 | | 19 | 8 | | 20 | 2 | | 21 | 3 | | 22 | 6 | | 23 | 8 | | 24 | 1 | | 25 | 22 | | 26 | 2 | | 27 | 6 | | 28 | 9 | | 29 | 13 | | 30 | 4 | | 31 | 18 | | 32 | 19 | | 33 | 25 | | 34 | 14 | | 35 | 8 | | 36 | 4 | | 37 | 11 | | 38 | 12 | | 39 | 10 | | 40 | 16 | | 41 | 8 | | 42 | 7 | | 43 | 16 | | 44 | 4 | | 45 | 11 | | 46 | 7 | | 47 | 10 | | 48 | 10 | | 49 | 10 |
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| 54.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.35135135135135137 | | totalSentences | 74 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 97.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 49 | | matches | | 0 | "She’d only come in for" | | 1 | "She watched Silas scan the" | | 2 | "His voice was gravel, but" | | 3 | "she muttered, voice barely carrying" | | 4 | "His lips twitched in something" | | 5 | "Her jaw tightened." | | 6 | "She inhaled the smoky air," | | 7 | "His words carried the quiet" | | 8 | "His voice dropped, fraught—“but some" | | 9 | "Her wrist moved unconsciously, the" | | 10 | "They sat there, years folding" | | 11 | "Her hand curled into a" | | 12 | "His hand tapped the bar" | | 13 | "He shrugged, a slow, practiced" | | 14 | "She heard footsteps approaching—the shuffle" |
| | ratio | 0.306 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 49 | | matches | | 0 | "The bell above the door" | | 1 | "Aurora Carter’s blue eyes flicked" | | 2 | "The smell of stale smoke" | | 3 | "She’d only come in for" | | 4 | "A tall figure stepped inside," | | 5 | "The trick of the years" | | 6 | "Silas carried his age like" | | 7 | "The silver signet ring gleamed" | | 8 | "The edge of her scar" | | 9 | "She watched Silas scan the" | | 10 | "His voice was gravel, but" | | 11 | "Rory’s voice was calm, but" | | 12 | "Silas slid onto the stool" | | 13 | "she muttered, voice barely carrying" | | 14 | "The bar’s low murmur swirled" | | 15 | "Rory traced the rim of" | | 16 | "His lips twitched in something" | | 17 | "Her jaw tightened." | | 18 | "Silas peered at her, reading" | | 19 | "Aurora’s bright blue eyes dropped" |
| | ratio | 0.98 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "A cigarette ember flared behind Silas’s cheek, his eyes drifting for a moment—the kind of tired that comes only from years of watching, waiting." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "she muttered, voice barely carrying" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 31 | | tagDensity | 0.129 | | leniency | 0.258 | | rawRatio | 0.25 | | effectiveRatio | 0.065 | |