| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.563 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1123 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 10.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1123 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "loomed" | | 1 | "flickered" | | 2 | "gleaming" | | 3 | "perfect" | | 4 | "treacherous" | | 5 | "echoes" | | 6 | "footsteps" | | 7 | "echoed" | | 8 | "etched" | | 9 | "grave" | | 10 | "lilt" | | 11 | "charged" | | 12 | "depths" | | 13 | "rhythmic" |
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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 | 1 | | narrationSentences | 181 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 181 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 188 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 17 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 8 | | totalWords | 1121 | | ratio | 0.007 | | matches | | 0 | "Steady, Quinn. Don't chase shadows." | | 1 | "Shadows bite back." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1057 | | uniqueNames | 25 | | maxNameDensity | 0.95 | | worstName | "Tomás" | | maxWindowNameDensity | 2 | | worstWindowName | "Tomás" | | discoveredNames | | Tomás | 10 | | Herrera | 1 | | Seville | 1 | | Saint | 1 | | Christopher | 1 | | Silas | 1 | | Blackwood | 1 | | Raven | 1 | | Nest | 1 | | Soho | 1 | | God-knew-what | 1 | | Tube | 2 | | Blitz | 1 | | Metal | 2 | | Quinn | 1 | | Morris | 3 | | Christmas | 1 | | Veil | 1 | | Market | 3 | | Gears | 1 | | Spanish | 2 | | Harlow | 9 | | Claws | 3 | | Bone | 3 | | Goblins | 3 |
| | persons | | 0 | "Tomás" | | 1 | "Herrera" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Silas" | | 5 | "Blackwood" | | 6 | "Raven" | | 7 | "Blitz" | | 8 | "Metal" | | 9 | "Quinn" | | 10 | "Morris" | | 11 | "Christmas" | | 12 | "Market" | | 13 | "Gears" | | 14 | "Harlow" | | 15 | "Claws" | | 16 | "Goblins" |
| | places | | 0 | "Seville" | | 1 | "Soho" | | 2 | "Spanish" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1121 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 188 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 21.56 | | std | 17.08 | | cv | 0.792 | | sampleLengths | | 0 | 12 | | 1 | 43 | | 2 | 12 | | 3 | 47 | | 4 | 51 | | 5 | 68 | | 6 | 47 | | 7 | 14 | | 8 | 34 | | 9 | 44 | | 10 | 46 | | 11 | 37 | | 12 | 12 | | 13 | 6 | | 14 | 84 | | 15 | 17 | | 16 | 20 | | 17 | 13 | | 18 | 31 | | 19 | 33 | | 20 | 5 | | 21 | 9 | | 22 | 11 | | 23 | 30 | | 24 | 16 | | 25 | 4 | | 26 | 32 | | 27 | 19 | | 28 | 21 | | 29 | 6 | | 30 | 28 | | 31 | 17 | | 32 | 11 | | 33 | 15 | | 34 | 19 | | 35 | 21 | | 36 | 4 | | 37 | 16 | | 38 | 11 | | 39 | 11 | | 40 | 16 | | 41 | 6 | | 42 | 2 | | 43 | 5 | | 44 | 28 | | 45 | 22 | | 46 | 24 | | 47 | 9 | | 48 | 7 | | 49 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 181 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 242 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 188 | | ratio | 0.059 | | matches | | 0 | "Scar on his left forearm flashed white – knife work from some NHS fallout, her files said." | | 1 | "The air turned fetid, thick with mould and something sharper – ozone?" | | 2 | "Figures haggled in shadows – not all human." | | 3 | "A brute guarded the ladder – seven feet of slabbed muscle, eyes milky like a shark's." | | 4 | "Eyes turned – slitted, glowing, feral." | | 5 | "Horned man dropped his crate; eels slithered free, biting ankles." | | 6 | "Echoes multiplied – footsteps?" | | 7 | "Two goblins – knee-high, green-skinned, knives drawn – blocked retreat." | | 8 | "Pulled something from his pocket – another syringe, glowing green." | | 9 | "Tomás bolted past, grate yielding under his shove – hidden latch." | | 10 | "Market roar swelled – more shadows converging." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1060 | | adjectiveStacks | 2 | | stackExamples | | 0 | "under graffiti-smeared brick." | | 1 | "ahead, jury-rigged power." |
| | adverbCount | 12 | | adverbRatio | 0.011320754716981131 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0009433962264150943 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 188 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 188 | | mean | 5.96 | | std | 3.78 | | cv | 0.633 | | sampleLengths | | 0 | 6 | | 1 | 6 | | 2 | 14 | | 3 | 5 | | 4 | 9 | | 5 | 15 | | 6 | 12 | | 7 | 4 | | 8 | 11 | | 9 | 11 | | 10 | 6 | | 11 | 15 | | 12 | 9 | | 13 | 17 | | 14 | 8 | | 15 | 7 | | 16 | 4 | | 17 | 6 | | 18 | 12 | | 19 | 12 | | 20 | 17 | | 21 | 6 | | 22 | 4 | | 23 | 4 | | 24 | 13 | | 25 | 7 | | 26 | 5 | | 27 | 5 | | 28 | 7 | | 29 | 12 | | 30 | 6 | | 31 | 5 | | 32 | 11 | | 33 | 3 | | 34 | 13 | | 35 | 1 | | 36 | 6 | | 37 | 4 | | 38 | 10 | | 39 | 6 | | 40 | 5 | | 41 | 8 | | 42 | 5 | | 43 | 7 | | 44 | 12 | | 45 | 1 | | 46 | 3 | | 47 | 10 | | 48 | 7 | | 49 | 7 |
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| 93.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5638297872340425 | | totalSentences | 188 | | uniqueOpeners | 106 | |
| 44.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 150 | | matches | | 0 | "Just darted left, into a" | | 1 | "Then he plunged down the" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 150 | | matches | | 0 | "Her fingers dug into damp" | | 1 | "He shrugged her off with" | | 2 | "She lunged after him, boots" | | 3 | "Her shout cut through the" | | 4 | "He didn't glance back." | | 5 | "She followed, coat flapping, worn" | | 6 | "She dropped into mud, knees" | | 7 | "He was thirty feet ahead" | | 8 | "She sprinted harder, military bearing" | | 9 | "She drew her baton, thumbed" | | 10 | "He skidded at the mouth" | | 11 | "She shouldered through, links snapping." | | 12 | "She took the stairs three" | | 13 | "He shoved at a manhole" | | 14 | "She closed to twenty feet." | | 15 | "He dropped through the hole." | | 16 | "Her gut twisted." | | 17 | "She gripped the baton tighter." | | 18 | "She spotted his curls bobbing" | | 19 | "She flashed her warrant card." |
| | ratio | 0.247 | |
| 70.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 117 | | totalSentences | 150 | | matches | | 0 | "Harlow's hand clamped Tomás Herrera's" | | 1 | "Her fingers dug into damp" | | 2 | "He shrugged her off with" | | 3 | "Puddles exploded under his boots." | | 4 | "She lunged after him, boots" | | 5 | "Camden's shuttered market stalls loomed" | | 6 | "Her shout cut through the" | | 7 | "He didn't glance back." | | 8 | "She followed, coat flapping, worn" | | 9 | "Salt-and-pepper hair plastered to her" | | 10 | "Streetlights flickered overhead, casting oily" | | 11 | "The stench of rotting veg" | | 12 | "Tomás vaulted a low chain-link" | | 13 | "Harlow gripped the top, hauled" | | 14 | "Metal bit her palm." | | 15 | "She dropped into mud, knees" | | 16 | "He was thirty feet ahead" | | 17 | "That Saint Christopher medallion swung" | | 18 | "The Raven's Nest regulars." | | 19 | "Tonight, he'd bolted from a" |
| | ratio | 0.78 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 150 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "She spotted his curls bobbing near a potion stall, haggling quick with a hooded vendor." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "He dodged, their mouths gaping silent screams" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Her shout (shout)" | | 1 | "One spat (spit)" |
| | dialogueSentences | 16 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 1 | | effectiveRatio | 0.25 | |