| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1152 | | 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) | |
| 65.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1152 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "pulse" | | 1 | "beacon" | | 2 | "shimmered" | | 3 | "pulsed" | | 4 | "velvet" | | 5 | "framework" | | 6 | "navigate" | | 7 | "scanning" |
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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 | 120 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 120 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1137 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1116 | | uniqueNames | 20 | | maxNameDensity | 0.72 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Quinn | 8 | | Berwick | 1 | | Street | 1 | | Saint | 1 | | Christopher | 1 | | Raven | 1 | | Nest | 1 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Camden | 1 | | Tube | 2 | | Morris | 3 | | Whitechapel | 2 | | Victorian | 1 | | Veil | 1 | | Market | 1 | | Herrera | 7 | | Plink | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Saint" | | 2 | "Christopher" | | 3 | "Raven" | | 4 | "Morris" | | 5 | "Herrera" |
| | places | | 0 | "Soho" | | 1 | "Berwick" | | 2 | "Street" | | 3 | "Charing" | | 4 | "Cross" | | 5 | "Road" | | 6 | "Camden" | | 7 | "Whitechapel" |
| | globalScore | 1 | | windowScore | 1 | |
| 77.54% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed heavier here, the city's sounds muted, as if the street itself had drawn a curtain" | | 1 | "fabric that seemed to shift color as she looked at it" |
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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 | 1137 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 121 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 35.53 | | std | 24.08 | | cv | 0.678 | | sampleLengths | | 0 | 67 | | 1 | 1 | | 2 | 64 | | 3 | 8 | | 4 | 55 | | 5 | 60 | | 6 | 27 | | 7 | 8 | | 8 | 21 | | 9 | 14 | | 10 | 46 | | 11 | 5 | | 12 | 55 | | 13 | 55 | | 14 | 55 | | 15 | 46 | | 16 | 5 | | 17 | 79 | | 18 | 2 | | 19 | 60 | | 20 | 10 | | 21 | 75 | | 22 | 56 | | 23 | 25 | | 24 | 46 | | 25 | 14 | | 26 | 50 | | 27 | 34 | | 28 | 54 | | 29 | 21 | | 30 | 4 | | 31 | 15 |
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| 93.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 120 | | matches | | 0 | "been transformed" | | 1 | "been painted" | | 2 | "been trained" | | 3 | "been followed" |
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| 95.83% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 192 | | matches | | 0 | "was heading" | | 1 | "was gesturing" | | 2 | "was buying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 121 | | ratio | 0.099 | | matches | | 0 | "The green neon sign had burned above the entrance like a beacon, marking the bar where her targets gathered, drank, and—she suspected—coordinated whatever the hell their operation actually was." | | 1 | "But she knew this city the way a surgeon knew anatomy—every artery, every capillary, every dead end." | | 2 | "Beyond it, she could see the mouth of a Tube station—boarded up, fenced off, clearly decommissioned." | | 3 | "The air changed—warmer, earthier, carrying a scent like ozone and old copper." | | 4 | "Her partner's voice on the phone, confused, frightened, using words that didn't make sense—light without a source, shadows moving wrong." | | 5 | "The walls shifted from modern concrete to old Victorian brick, then to something older still—stone blocks fitted together without mortar, carved with patterns she couldn't identify in the dim light." | | 6 | "And beyond it—" | | 7 | "The curved tunnel ceiling had been painted—or had painted itself—with constellations that moved, stars drifting in slow arcs overhead." | | 8 | "Two children—not children, something wrong with their proportions—chased each other between stalls, their laughter too high, too sharp." | | 9 | "The vendor nodded and produced something from beneath the counter—a small bone-white disc, engraved with symbols." | | 10 | "No signal on her radio—she'd checked twice on the stairs." | | 11 | "She was alone in a place that didn't appear on any map, surrounded by people—and things—that operated outside every framework of law and reality she'd been trained to navigate." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1136 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small bone-white disc," |
| | adverbCount | 19 | | adverbRatio | 0.016725352112676055 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006161971830985915 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 9.4 | | std | 7.45 | | cv | 0.793 | | sampleLengths | | 0 | 19 | | 1 | 18 | | 2 | 30 | | 3 | 1 | | 4 | 10 | | 5 | 29 | | 6 | 5 | | 7 | 20 | | 8 | 8 | | 9 | 15 | | 10 | 3 | | 11 | 22 | | 12 | 11 | | 13 | 4 | | 14 | 8 | | 15 | 7 | | 16 | 7 | | 17 | 3 | | 18 | 21 | | 19 | 3 | | 20 | 11 | | 21 | 3 | | 22 | 1 | | 23 | 17 | | 24 | 4 | | 25 | 2 | | 26 | 8 | | 27 | 21 | | 28 | 1 | | 29 | 13 | | 30 | 6 | | 31 | 2 | | 32 | 16 | | 33 | 2 | | 34 | 2 | | 35 | 18 | | 36 | 5 | | 37 | 7 | | 38 | 16 | | 39 | 22 | | 40 | 7 | | 41 | 1 | | 42 | 1 | | 43 | 1 | | 44 | 11 | | 45 | 8 | | 46 | 6 | | 47 | 9 | | 48 | 13 | | 49 | 5 |
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| 48.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.371900826446281 | | totalSentences | 121 | | uniqueOpeners | 45 | |
| 33.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 100 | | matches | | 0 | "Somewhere below, she heard the" |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 100 | | matches | | 0 | "She'd staked out The Raven's" | | 1 | "He'd spotted her." | | 2 | "She blinked it away." | | 3 | "She darted between a bus" | | 4 | "Her lungs burned." | | 5 | "He was fast." | | 6 | "He was heading north." | | 7 | "She keyed her radio with" | | 8 | "He ducked into an alley." | | 9 | "She drew her sidearm and" | | 10 | "It sat against the base" | | 11 | "She didn't recognize the substance." | | 12 | "Her jaw tightened." | | 13 | "She looked up." | | 14 | "Her boots found concrete stairs" | | 15 | "She thought of DS Morris." | | 16 | "Her partner's voice on the" | | 17 | "She'd found his phone on" | | 18 | "She called it something else." | | 19 | "She reached a landing." |
| | ratio | 0.29 | |
| 95.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 100 | | matches | | 0 | "Harlow Quinn's boots struck the" | | 1 | "She'd staked out The Raven's" | | 2 | "The green neon sign had" | | 3 | "Tonight had been the payoff." | | 4 | "Herrera had emerged at half" | | 5 | "Quinn rounded the corner and" | | 6 | "He'd spotted her." | | 7 | "The rain slicked the street" | | 8 | "The salt-and-pepper crop clung to" | | 9 | "She blinked it away." | | 10 | "Herrera barreled across Charing Cross" | | 11 | "A black cab swerved, its" | | 12 | "The driver's curse disappeared into" | | 13 | "Quinn didn't hesitate." | | 14 | "She darted between a bus" | | 15 | "Her lungs burned." | | 16 | "He was fast." | | 17 | "He was heading north." | | 18 | "She keyed her radio with" | | 19 | "A crackled response she couldn't" |
| | ratio | 0.73 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 5 | | matches | | 0 | "Harlow Quinn's boots struck the wet cobblestones in a rhythm that matched the pulse hammering behind her sternum." | | 1 | "A low, ambient hum that could have been generators or something else entirely." | | 2 | "Her partner's voice on the phone, confused, frightened, using words that didn't make sense—light without a source, shadows moving wrong." | | 3 | "She was alone in a place that didn't appear on any map, surrounded by people—and things—that operated outside every framework of law and reality she'd been trai…" | | 4 | "But the woman who'd stood in that Whitechapel basement holding her partner's cracked phone knew that some truths didn't fit inside a case file." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |