| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1349 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 59.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1349 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "chaotic" | | 1 | "footsteps" | | 2 | "flickered" | | 3 | "weight" | | 4 | "echoing" | | 5 | "tapestry" | | 6 | "pulsed" | | 7 | "silence" | | 8 | "resolve" | | 9 | "processed" | | 10 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 111 | | matches | (empty) | |
| 91.38% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 111 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 8 | | totalWords | 1329 | | ratio | 0.006 | | matches | | 0 | "She needs to see. It’s her choice now." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1264 | | uniqueNames | 15 | | maxNameDensity | 1.03 | | worstName | "Herrera" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Herrera" | | discoveredNames | | Quinn | 6 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Herrera | 13 | | Camden | 2 | | High | 1 | | Street | 1 | | Morris | 6 | | Tube | 1 | | Veil | 2 | | Market | 2 | | Met | 1 | | Clique | 1 | | Tomás | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Herrera" | | 4 | "Morris" | | 5 | "Market" | | 6 | "Met" | | 7 | "Tomás" |
| | places | | 0 | "Soho" | | 1 | "Camden" | | 2 | "High" | | 3 | "Street" | | 4 | "Veil" |
| | globalScore | 0.986 | | windowScore | 0.5 | |
| 88.27% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like antique weapons, others glitt" | | 1 | "looked like bottled mist" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.752 | | wordCount | 1329 | | matches | | 0 | "not pound notes, but irregular, bone-colored chips" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 39.09 | | std | 26.27 | | cv | 0.672 | | sampleLengths | | 0 | 70 | | 1 | 80 | | 2 | 65 | | 3 | 65 | | 4 | 75 | | 5 | 77 | | 6 | 14 | | 7 | 66 | | 8 | 40 | | 9 | 25 | | 10 | 73 | | 11 | 65 | | 12 | 75 | | 13 | 53 | | 14 | 9 | | 15 | 10 | | 16 | 8 | | 17 | 3 | | 18 | 3 | | 19 | 8 | | 20 | 21 | | 21 | 8 | | 22 | 5 | | 23 | 12 | | 24 | 7 | | 25 | 26 | | 26 | 49 | | 27 | 27 | | 28 | 50 | | 29 | 58 | | 30 | 55 | | 31 | 30 | | 32 | 48 | | 33 | 49 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 82.01% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 226 | | matches | | 0 | "wasn’t running" | | 1 | "was leading" | | 2 | "was doing" | | 3 | "was negotiating" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 119 | | ratio | 0.067 | | matches | | 0 | "She’d spotted him leaving The Raven’s Nest—Herrera, the off-the-books medic." | | 1 | "A memory of Morris flickered, unbidden—the way he’d looked at that warehouse door three years ago, the same hesitation in his eyes, just before he’d gone in first." | | 2 | "The air was colder here, thick with the smell of earth and something else—ozone and old incense." | | 3 | "But procedure had also gotten Morris killed—because procedure didn’t account for things that went bump in the night." | | 4 | "She stepped onto the platform, the noise from the stalls washing over her—muttered conversations in languages she couldn’t place, the clink of glass, the dry rustle of strange fabrics." | | 5 | "Quinn drifted closer, pretending to examine a neighboring stall’s wares—crystals that pulsed with a faint inner light." | | 6 | "It’s her choice now.* This wasn’t an escape; it was an invitation." | | 7 | "She saw currency change hands—not pound notes, but irregular, bone-colored chips." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1284 | | adjectiveStacks | 2 | | stackExamples | | 0 | "irregular, bone-colored chips." | | 1 | "small, cloth-wrapped parcel" |
| | adverbCount | 23 | | adverbRatio | 0.01791277258566978 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005451713395638629 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 11.17 | | std | 6.53 | | cv | 0.585 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 10 | | 3 | 20 | | 4 | 2 | | 5 | 21 | | 6 | 21 | | 7 | 3 | | 8 | 12 | | 9 | 4 | | 10 | 19 | | 11 | 19 | | 12 | 16 | | 13 | 17 | | 14 | 9 | | 15 | 4 | | 16 | 12 | | 17 | 14 | | 18 | 12 | | 19 | 9 | | 20 | 10 | | 21 | 4 | | 22 | 4 | | 23 | 13 | | 24 | 9 | | 25 | 3 | | 26 | 4 | | 27 | 28 | | 28 | 12 | | 29 | 6 | | 30 | 7 | | 31 | 6 | | 32 | 16 | | 33 | 17 | | 34 | 14 | | 35 | 17 | | 36 | 7 | | 37 | 3 | | 38 | 4 | | 39 | 3 | | 40 | 18 | | 41 | 9 | | 42 | 11 | | 43 | 14 | | 44 | 11 | | 45 | 5 | | 46 | 17 | | 47 | 18 | | 48 | 12 | | 49 | 4 |
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| 36.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3025210084033613 | | totalSentences | 119 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 109 | | matches | (empty) | | ratio | 0 | |
| 43.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 109 | | matches | | 0 | "She’d spotted him leaving The" | | 1 | "He’d made her the moment" | | 2 | "Her breath rasped in her" | | 3 | "He was fast, weaving through" | | 4 | "She was faster." | | 5 | "It paid off now." | | 6 | "She closed the gap as" | | 7 | "He ducked into a side" | | 8 | "Her foot landed in a" | | 9 | "He was a moving shadow" | | 10 | "He disappeared into one." | | 11 | "She slowed, hand on the" | | 12 | "She could hear the slap" | | 13 | "He wasn’t running blindly." | | 14 | "He had a destination." | | 15 | "She stopped at the top," | | 16 | "She shook her head, sending" | | 17 | "He must have hit a" | | 18 | "She descended carefully, each step" | | 19 | "Her breath caught." |
| | ratio | 0.44 | |
| 5.87% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 99 | | totalSentences | 109 | | matches | | 0 | "The rain came down in" | | 1 | "Streetlights bled halos into the" | | 2 | "She’d spotted him leaving The" | | 3 | "He’d made her the moment" | | 4 | "Her breath rasped in her" | | 5 | "He was fast, weaving through" | | 6 | "She was faster." | | 7 | "It paid off now." | | 8 | "She closed the gap as" | | 9 | "He ducked into a side" | | 10 | "Her foot landed in a" | | 11 | "The alley opened onto the" | | 12 | "He was a moving shadow" | | 13 | "He disappeared into one." | | 14 | "She slowed, hand on the" | | 15 | "The arch led into a" | | 16 | "The sound of the rain" | | 17 | "The air smelled of damp" | | 18 | "She could hear the slap" | | 19 | "He wasn’t running blindly." |
| | ratio | 0.908 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 109 | | matches | (empty) | | ratio | 0 | |
| 84.31% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 5 | | matches | | 0 | "She closed the gap as they careened past sex shops and shuttered cafes, her shoes splashing through overflowing gutters." | | 1 | "She shook her head, sending water droplets flying from her salt-and-pepper crop." | | 2 | "The underground market that moved, that operated beyond the laws of man and, she now suspected, of nature." | | 3 | "She focused on the back of Tomás Herrera’s head, on the dark curls plastered to his skull by the rain, on the saint’s medallion that glinted at his throat." | | 4 | "She’d spent three years digging through the debris of his death, finding nothing but official reports and procedural blanks." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "the woman hissed (hiss)" |
| | dialogueSentences | 12 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.333 | | effectiveRatio | 0.167 | |