| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1209 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 33.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1209 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "predictable" | | 1 | "rhythmic" | | 2 | "familiar" | | 3 | "could feel" | | 4 | "electric" | | 5 | "mechanical" | | 6 | "shimmered" | | 7 | "etched" | | 8 | "dancing" | | 9 | "porcelain" | | 10 | "pulsed" | | 11 | "kaleidoscope" | | 12 | "weight" | | 13 | "unraveling" | | 14 | "resolve" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 38.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 3 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1204 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1202 | | uniqueNames | 14 | | maxNameDensity | 0.83 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Elias" | | discoveredNames | | London | 1 | | Harlow | 2 | | Quinn | 10 | | Soho | 1 | | Elias | 8 | | Morris | 3 | | West | 1 | | End | 1 | | Camden | 2 | | Metropolitan | 1 | | Police | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Elias" | | 3 | "Morris" | | 4 | "Market" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "West" | | 3 | "End" | | 4 | "Metropolitan" |
| | globalScore | 1 | | windowScore | 1 | |
| 47.26% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 3 | | matches | | 0 | "symbols that seemed to shift when she looked at them directly" | | 1 | "iron that seemed to drop far deeper than any Tube station should" | | 2 | "swords that seemed to swallow the surrounding glare; they sold scrolls of human skin inscribed with ink that moved like living insects" |
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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 | 1204 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 91.56% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 46.31 | | std | 21.79 | | cv | 0.47 | | sampleLengths | | 0 | 72 | | 1 | 67 | | 2 | 13 | | 3 | 84 | | 4 | 53 | | 5 | 77 | | 6 | 45 | | 7 | 41 | | 8 | 62 | | 9 | 3 | | 10 | 61 | | 11 | 69 | | 12 | 28 | | 13 | 22 | | 14 | 52 | | 15 | 15 | | 16 | 49 | | 17 | 65 | | 18 | 38 | | 19 | 44 | | 20 | 35 | | 21 | 63 | | 22 | 17 | | 23 | 71 | | 24 | 31 | | 25 | 27 |
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| 83.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 82 | | matches | | 0 | "was panicked" | | 1 | "was situated" | | 2 | "were draped" | | 3 | "been drawn" | | 4 | "was subsumed" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 9 | | totalVerbs | 201 | | matches | | 0 | "was currently chasing" | | 1 | "was carrying" | | 2 | "was heading" | | 3 | "was telling" | | 4 | "wasn't running" | | 5 | "was running" | | 6 | "was weaving" | | 7 | "were spinning" | | 8 | "was unraveling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 7 | | flaggedSentences | 9 | | totalSentences | 82 | | ratio | 0.11 | | matches | | 0 | "The rain didn't fall in London; it colonized." | | 1 | "She didn't sprint; she maintained a rhythmic, predatory pace, her breathing controlled, her gaze locked on the silhouette darting between the shadows." | | 2 | "She wanted him cornered, and she wanted the information he was carrying—information she hoped would finally explain why DS Morris had vanished three years ago in a room that should have been empty." | | 3 | "The veterans called it a myth; the fringe elements of the force called it a nightmare." | | 4 | "They said it was a place where laws—both legal and physical—ceased to function." | | 5 | "One moment she was in the freezing rain of Camden; the next, the air turned thick and cloying, smelling of ozone, ancient dust, and something metallic, like dried blood." | | 6 | "They sold vials of iridescent liquids that pulsed with a slow, rhythmic light; they sold blackened swords that seemed to swallow the surrounding glare; they sold scrolls of human skin inscribed with ink that moved like living insects." | | 7 | "They didn't just look at her; they scented her." | | 8 | "The precision she relied on—the clockwork reliability of her life—was unraveling." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1213 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.01483924154987634 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006595218466611707 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 14.68 | | std | 7.35 | | cv | 0.501 | | sampleLengths | | 0 | 8 | | 1 | 23 | | 2 | 5 | | 3 | 22 | | 4 | 14 | | 5 | 18 | | 6 | 7 | | 7 | 4 | | 8 | 16 | | 9 | 22 | | 10 | 11 | | 11 | 2 | | 12 | 13 | | 13 | 17 | | 14 | 6 | | 15 | 15 | | 16 | 33 | | 17 | 19 | | 18 | 15 | | 19 | 19 | | 20 | 13 | | 21 | 11 | | 22 | 17 | | 23 | 30 | | 24 | 6 | | 25 | 21 | | 26 | 24 | | 27 | 11 | | 28 | 17 | | 29 | 13 | | 30 | 6 | | 31 | 12 | | 32 | 12 | | 33 | 12 | | 34 | 20 | | 35 | 3 | | 36 | 5 | | 37 | 27 | | 38 | 16 | | 39 | 13 | | 40 | 6 | | 41 | 13 | | 42 | 9 | | 43 | 16 | | 44 | 9 | | 45 | 16 | | 46 | 6 | | 47 | 22 | | 48 | 3 | | 49 | 19 |
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| 33.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3048780487804878 | | totalSentences | 82 | | uniqueOpeners | 25 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | 0 | "Instead, the air around the" |
| | ratio | 0.012 | |
| 32.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 81 | | matches | | 0 | "It claimed the sidewalks, the" | | 1 | "She didn't mind the damp." | | 2 | "She liked the way it" | | 3 | "It made the world feel" | | 4 | "Her target, a twitchy courier" | | 5 | "He was fast, but he" | | 6 | "She didn't sprint; she maintained" | | 7 | "She glanced at the worn" | | 8 | "He scrambled up, his breath" | | 9 | "She didn't believe in the" | | 10 | "She wanted him cornered, and" | | 11 | "Her sharp jaw was set," | | 12 | "She could feel the adrenaline" | | 13 | "She had spent eighteen years" | | 14 | "He was running toward a" | | 15 | "He dove toward a derelict" | | 16 | "She skidded to a halt," | | 17 | "She stared at the open" | | 18 | "It was the size of" | | 19 | "She had heard the rumors." |
| | ratio | 0.469 | |
| 21.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 81 | | matches | | 0 | "The rain didn't fall in" | | 1 | "It claimed the sidewalks, the" | | 2 | "She didn't mind the damp." | | 3 | "She liked the way it" | | 4 | "It made the world feel" | | 5 | "Her target, a twitchy courier" | | 6 | "He was fast, but he" | | 7 | "Panic made people predictable." | | 8 | "Quinn tracked him through a" | | 9 | "She didn't sprint; she maintained" | | 10 | "She glanced at the worn" | | 11 | "Elias banked a hard right," | | 12 | "He scrambled up, his breath" | | 13 | "Quinn didn't call out a" | | 14 | "She didn't believe in the" | | 15 | "She wanted him cornered, and" | | 16 | "The chase led them away" | | 17 | "The architecture shifted, the polished" | | 18 | "Elias was heading for the" | | 19 | "Quinn pushed harder, the salt-and-pepper" |
| | ratio | 0.877 | |
| 61.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 81 | | matches | | 0 | "If she stayed here, she" |
| | ratio | 0.012 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 6 | | matches | | 0 | "He scrambled up, his breath coming in ragged gasps that were audible even over the drumming rain." | | 1 | "She wanted him cornered, and she wanted the information he was carrying—information she hoped would finally explain why DS Morris had vanished three years ago i…" | | 2 | "She descended a spiral staircase of rusted iron that seemed to drop far deeper than any Tube station should." | | 3 | "They sold vials of iridescent liquids that pulsed with a slow, rhythmic light; they sold blackened swords that seemed to swallow the surrounding glare; they sol…" | | 4 | "Figures with too many joints moved with a fluid, unsettling grace, weaving between shoppers who looked human but possessed eyes that glowed with a faint, predat…" | | 5 | "He was weaving through the crowd, his shoulders hunched, heading toward a cluster of stalls that dealt in alchemical substances." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |