| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 30 | | adverbTagCount | 4 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "she said abruptly [abruptly]" | | 2 | "She stood abruptly [abruptly]" | | 3 | "She hesitated then [then]" |
| | dialogueSentences | 68 | | tagDensity | 0.441 | | leniency | 0.882 | | rawRatio | 0.133 | | effectiveRatio | 0.118 | |
| 80.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1762 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "slowly" | | 3 | "deliberately" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 46.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1762 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "weight" | | 1 | "etched" | | 2 | "could feel" | | 3 | "lilt" | | 4 | "flicked" | | 5 | "silence" | | 6 | "shattered" | | 7 | "echoed" | | 8 | "whisper" | | 9 | "familiar" | | 10 | "traced" | | 11 | "chill" | | 12 | "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 | 1 | | narrationSentences | 116 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 116 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1752 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1413 | | uniqueNames | 15 | | maxNameDensity | 0.78 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | London | 3 | | Camden | 1 | | Evan | 1 | | Rory | 7 | | Prague | 2 | | Cardiff | 1 | | Zippo | 2 | | Silas | 11 | | Tangier | 1 | | Somalia | 1 | | Algeria | 1 | | Five | 4 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Evan" | | 3 | "Rory" | | 4 | "Zippo" | | 5 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Prague" | | 3 | "Cardiff" | | 4 | "Tangier" | | 5 | "Somalia" | | 6 | "Algeria" |
| | globalScore | 1 | | windowScore | 1 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like a raven in flight" | | 1 | "as if testing the shape of it on his tongue" | | 2 | "quite trust" |
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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 | 1752 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 152 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 32.44 | | std | 31.84 | | cv | 0.981 | | sampleLengths | | 0 | 141 | | 1 | 131 | | 2 | 116 | | 3 | 97 | | 4 | 108 | | 5 | 21 | | 6 | 25 | | 7 | 35 | | 8 | 22 | | 9 | 62 | | 10 | 5 | | 11 | 23 | | 12 | 3 | | 13 | 50 | | 14 | 34 | | 15 | 13 | | 16 | 29 | | 17 | 16 | | 18 | 33 | | 19 | 50 | | 20 | 50 | | 21 | 21 | | 22 | 3 | | 23 | 30 | | 24 | 14 | | 25 | 15 | | 26 | 6 | | 27 | 29 | | 28 | 10 | | 29 | 32 | | 30 | 40 | | 31 | 7 | | 32 | 19 | | 33 | 32 | | 34 | 4 | | 35 | 23 | | 36 | 21 | | 37 | 2 | | 38 | 3 | | 39 | 45 | | 40 | 10 | | 41 | 24 | | 42 | 30 | | 43 | 5 | | 44 | 15 | | 45 | 31 | | 46 | 10 | | 47 | 18 | | 48 | 2 | | 49 | 34 |
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| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 116 | | matches | | 0 | "was hidden" | | 1 | "was tucked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 246 | | matches | | 0 | "wasn’t coming" | | 1 | "was unspooling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 2 | | flaggedSentences | 11 | | totalSentences | 152 | | ratio | 0.072 | | matches | | 0 | "Silas moved behind the bar with the economy of a man who’d spent his life counting steps and measuring exits—polishing a glass with a rag that had seen better decades, setting it down with a quiet click, then reaching beneath the counter for another." | | 1 | "The bar’s interior rolled out before her like a half-remembered dream—the scuffed mahogany, the framed black-and-white prints of post-war London streets, the constellation of old maps pinned behind the optics that smelled of gin and nostalgia." | | 2 | "She’d dressed for the part tonight—a long wool coat over a faded V-neck sweater, boots that belonged to someone with a normal life." | | 3 | "The crescent scar on her left wrist was hidden beneath the cuff of her sweater, but she could feel it—faint, ghost-pulled—as if the memory of pain were a live wire just below her skin." | | 4 | "The soles of her boots stuck slightly to a spill of something sticky near the entrance; she lifted her foot with deliberate care, the way a burglar might test for rotten floorboards." | | 5 | "Silas’s eyes flicked to her bare left hand, then to the faint shadow beneath her left eye—just enough to betray the circles she carried in both directions." | | 6 | "He slid the glass toward her; the amber caught the neon and spilled it across the bar top like a stain." | | 7 | "An alias, but also an old half-memory of a story Silas had once told her about a girl he trained in Tangier—name borrowed, borrowed freely." | | 8 | "That drew a proper laugh from him—a short, barking thing that echoed off the maps." | | 9 | "Rory looked down at the scar on her wrist—just the faintest silver crescent—and curled her fingers into a fist." | | 10 | "For a long moment Silas stared at his hands—knuckles slightly swollen, veins tracing the backs like underground rivers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1436 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 55 | | adverbRatio | 0.0383008356545961 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.011838440111420613 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 11.53 | | std | 9.62 | | cv | 0.835 | | sampleLengths | | 0 | 42 | | 1 | 44 | | 2 | 28 | | 3 | 27 | | 4 | 29 | | 5 | 36 | | 6 | 8 | | 7 | 2 | | 8 | 35 | | 9 | 21 | | 10 | 23 | | 11 | 14 | | 12 | 21 | | 13 | 24 | | 14 | 34 | | 15 | 9 | | 16 | 27 | | 17 | 30 | | 18 | 21 | | 19 | 5 | | 20 | 5 | | 21 | 3 | | 22 | 32 | | 23 | 6 | | 24 | 19 | | 25 | 5 | | 26 | 22 | | 27 | 10 | | 28 | 11 | | 29 | 6 | | 30 | 10 | | 31 | 5 | | 32 | 4 | | 33 | 10 | | 34 | 11 | | 35 | 27 | | 36 | 6 | | 37 | 2 | | 38 | 3 | | 39 | 1 | | 40 | 10 | | 41 | 6 | | 42 | 2 | | 43 | 14 | | 44 | 7 | | 45 | 21 | | 46 | 13 | | 47 | 4 | | 48 | 3 | | 49 | 5 |
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| 73.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.46710526315789475 | | totalSentences | 152 | | uniqueOpeners | 71 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 102 | | matches | | 0 | "Just watched her, the habit" | | 1 | "Instead she exhaled smoke between" | | 2 | "Instead she said," | | 3 | "Then he picked up the" |
| | ratio | 0.039 | |
| 31.76% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 102 | | matches | | 0 | "His left knee gave an" | | 1 | "She exhaled through her nose," | | 2 | "She’d dressed for the part" | | 3 | "His eyes were the same" | | 4 | "he said, voice gravel and" | | 5 | "He set the glass down." | | 6 | "It chimed against the rail." | | 7 | "Her accent had softened over" | | 8 | "He kept the Zippo for" | | 9 | "She took it, thumb clicking" | | 10 | "He didn’t light his own" | | 11 | "She set it back in" | | 12 | "she said, and slid onto" | | 13 | "He reached for the bottle" | | 14 | "He slid the glass toward" | | 15 | "It anchored her." | | 16 | "he said finally" | | 17 | "She wanted to say I" | | 18 | "She rolled the glass between" | | 19 | "he repeated, as if testing" |
| | ratio | 0.471 | |
| 33.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 102 | | matches | | 0 | "The Raven’s Nest hummed with" | | 1 | "Silas moved behind the bar" | | 2 | "His left knee gave an" | | 3 | "The signet ring on his" | | 4 | "Rory paused just inside the" | | 5 | "The bar’s interior rolled out" | | 6 | "She exhaled through her nose," | | 7 | "She’d dressed for the part" | | 8 | "The crescent scar on her" | | 9 | "Silas’s gaze lifted before she’d" | | 10 | "His eyes were the same" | | 11 | "he said, voice gravel and" | | 12 | "He set the glass down." | | 13 | "It chimed against the rail." | | 14 | "Rory stepped closer." | | 15 | "The soles of her boots" | | 16 | "Her accent had softened over" | | 17 | "Silas reached beneath the counter." | | 18 | "He kept the Zippo for" | | 19 | "She took it, thumb clicking" |
| | ratio | 0.853 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 28.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 8 | | matches | | 0 | "The Raven’s Nest hummed with the low thrum of a distant bassline and the murmur of six or seven regulars who had long since conceded to the fact that tonight, a…" | | 1 | "Silas moved behind the bar with the economy of a man who’d spent his life counting steps and measuring exits—polishing a glass with a rag that had seen better d…" | | 2 | "The bar’s interior rolled out before her like a half-remembered dream—the scuffed mahogany, the framed black-and-white prints of post-war London streets, the co…" | | 3 | "She’d dressed for the part tonight—a long wool coat over a faded V-neck sweater, boots that belonged to someone with a normal life." | | 4 | "The crescent scar on her left wrist was hidden beneath the cuff of her sweater, but she could feel it—faint, ghost-pulled—as if the memory of pain were a live w…" | | 5 | "The silence that followed wasn’t heavy so much as viscous, stretched thin over everything unsaid." | | 6 | "Silas hummed, low and considering, as though the name rang a distant bell in a file marked OUTSTANDING." | | 7 | "Then he picked up the rag again and began polishing the same glass, round and round, until the jaded glow of the staff caught his reflection and held it there: …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 30 | | uselessAdditionCount | 1 | | matches | | 0 | "he repeated, as if testing the shape of it on his tongue" |
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| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 4 | | fancyTags | | 0 | "she lied (lie)" | | 1 | "he observed (observe)" | | 2 | "he repeated (repeat)" | | 3 | "He mouthed (mouth)" |
| | dialogueSentences | 68 | | tagDensity | 0.235 | | leniency | 0.471 | | rawRatio | 0.25 | | effectiveRatio | 0.118 | |