| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1111 | | 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) | |
| 23.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1111 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "silence" | | 3 | "stomach" | | 4 | "comforting" | | 5 | "maw" | | 6 | "could feel" | | 7 | "fleeting" | | 8 | "cacophony" | | 9 | "footsteps" | | 10 | "flicker" | | 11 | "pulsed" | | 12 | "oppressive" | | 13 | "gloom" | | 14 | "shimmered" | | 15 | "chilling" |
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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 | 76 | | matches | (empty) | |
| 67.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 76 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1106 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1106 | | uniqueNames | 16 | | maxNameDensity | 0.81 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Herrera" | | discoveredNames | | Soho | 1 | | Quinn | 1 | | Herrera | 6 | | Raven | 2 | | Nest | 2 | | Saint | 1 | | Christopher | 1 | | Morris | 3 | | Harlow | 9 | | Camden | 1 | | Tube | 1 | | Detective | 1 | | Tomás | 3 | | Veil | 2 | | Market | 2 | | You | 4 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Morris" | | 7 | "Harlow" | | 8 | "Tomás" | | 9 | "You" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 4 | | matches | | 0 | "symbols that seemed to writhe when she looked at them directly" | | 1 | "felt like dropping into a cold bath" | | 2 | "sounded like a thousand voices speaking in" | | 3 | "felt like an invitation" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.904 | | wordCount | 1106 | | matches | | 0 | "not broken by force, but somehow undone" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 60.53% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 50.27 | | std | 18.19 | | cv | 0.362 | | sampleLengths | | 0 | 56 | | 1 | 66 | | 2 | 71 | | 3 | 75 | | 4 | 12 | | 5 | 57 | | 6 | 57 | | 7 | 28 | | 8 | 55 | | 9 | 55 | | 10 | 44 | | 11 | 52 | | 12 | 39 | | 13 | 16 | | 14 | 75 | | 15 | 56 | | 16 | 46 | | 17 | 22 | | 18 | 49 | | 19 | 62 | | 20 | 36 | | 21 | 77 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 76 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 180 | | matches | | 0 | "wasn't heading" | | 1 | "was heading" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 4 | | flaggedSentences | 9 | | totalSentences | 76 | | ratio | 0.118 | | matches | | 0 | "The rain in Soho didn't wash the city clean; it only turned the grit into a slick, obsidian paste." | | 1 | "She didn't shout; military precision demanded control even in the chaos." | | 2 | "That—that is a different world." | | 3 | "The barrier wasn't just metal and stone; it was a psychological border, and she could feel the temperature plummeting as she neared it." | | 4 | "She remembered the reports from the warehouse raid, the way DS Morris’s body had been found—not broken by force, but somehow undone." | | 5 | "It caught the light for a fleeting second—a token, crafted from bone, carved with symbols that seemed to writhe when she looked at them directly." | | 6 | "Down there, she could hear them—a cacophony of whispers, the clatter of illicit trade, and a low, humming vibration that rattled her teeth." | | 7 | "The air instantly thickened, heavy with the scent of dried herbs and something metallic—blood, or perhaps something older." | | 8 | "The moment her boot hit the first step, the wind above didn't just stop; the world above seemed to snap shut, leaving her in the deafening, subterranean hum of the Market." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1119 | | adjectiveStacks | 1 | | stackExamples | | 0 | "bone-chilling cold curling" |
| | adverbCount | 26 | | adverbRatio | 0.02323503127792672 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.009830205540661306 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 76 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 76 | | mean | 14.55 | | std | 8.47 | | cv | 0.582 | | sampleLengths | | 0 | 19 | | 1 | 17 | | 2 | 20 | | 3 | 22 | | 4 | 31 | | 5 | 4 | | 6 | 4 | | 7 | 5 | | 8 | 20 | | 9 | 16 | | 10 | 35 | | 11 | 13 | | 12 | 16 | | 13 | 16 | | 14 | 30 | | 15 | 6 | | 16 | 6 | | 17 | 12 | | 18 | 15 | | 19 | 13 | | 20 | 17 | | 21 | 13 | | 22 | 11 | | 23 | 14 | | 24 | 19 | | 25 | 13 | | 26 | 11 | | 27 | 4 | | 28 | 19 | | 29 | 8 | | 30 | 9 | | 31 | 5 | | 32 | 10 | | 33 | 4 | | 34 | 10 | | 35 | 23 | | 36 | 22 | | 37 | 19 | | 38 | 6 | | 39 | 19 | | 40 | 10 | | 41 | 7 | | 42 | 25 | | 43 | 3 | | 44 | 7 | | 45 | 9 | | 46 | 9 | | 47 | 3 | | 48 | 10 | | 49 | 8 |
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| 31.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.2894736842105263 | | totalSentences | 76 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 1.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 75 | | matches | | 0 | "Her boots struck the pavement" | | 1 | "He slipped past the green" | | 2 | "He didn't look back." | | 3 | "He didn't need to." | | 4 | "He knew she was there." | | 5 | "It was a nervous tic," | | 6 | "She rounded the corner, her" | | 7 | "She didn't hesitate, swinging her" | | 8 | "She landed on the damp" | | 9 | "He was heading for the" | | 10 | "He stopped abruptly at the" | | 11 | "She slowed, drawing her sidearm," | | 12 | "He stood just before the" | | 13 | "He looked exhausted, his curly" | | 14 | "She didn't shout; military precision" | | 15 | "I’m not asking again." | | 16 | "He let out a sharp," | | 17 | "You have no idea what’s" | | 18 | "You talk about law, about" | | 19 | "She remembered the reports from" |
| | ratio | 0.547 | |
| 20.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 75 | | matches | | 0 | "The rain in Soho didn't" | | 1 | "Harlow Quinn kept her head" | | 2 | "Her boots struck the pavement" | | 3 | "Tomás Herrera was fast, moving" | | 4 | "He slipped past the green" | | 5 | "He didn't look back." | | 6 | "He didn't need to." | | 7 | "He knew she was there." | | 8 | "Harlow felt the familiar ache" | | 9 | "It was a nervous tic," | | 10 | "DS Morris hadn’t stood a" | | 11 | "She rounded the corner, her" | | 12 | "The suspect vaulted a chain-link" | | 13 | "She didn't hesitate, swinging her" | | 14 | "She landed on the damp" | | 15 | "Herrera wasn't heading for a" | | 16 | "He was heading for the" | | 17 | "He stopped abruptly at the" | | 18 | "The air here smelled of" | | 19 | "She slowed, drawing her sidearm," |
| | ratio | 0.88 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 75 | | matches | | 0 | "If I go down those" | | 1 | "If she stayed, she remained" | | 2 | "If she followed, she became" |
| | ratio | 0.04 | |
| 42.86% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 7 | | matches | | 0 | "Tomás Herrera was fast, moving with the jagged, desperate agility of a man who knew exactly what the law meant for him." | | 1 | "The suspect vaulted a chain-link fence that cordoned off a construction site near the Camden junction." | | 2 | "He turned and bolted, his feet thudding against the metal stairs leading down into the dark." | | 3 | "Down there, she could hear them—a cacophony of whispers, the clatter of illicit trade, and a low, humming vibration that rattled her teeth." | | 4 | "If she stayed, she remained the detective, the woman who kept the world safe by never looking at the rot beneath the floorboards." | | 5 | "A flicker of bioluminescent light pulsed deep in the throat of the station, casting long, horrific shadows that danced like starving creatures against the arche…" | | 6 | "She clicked her flashlight on, the beam cutting through the oppressive gloom, and caught the faint, retreating silhouette of Tomás Herrera as he passed through …" |
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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 | |