| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.778 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1280 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sharply" | | 1 | "very" | | 2 | "slowly" |
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| 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) | |
| 53.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1280 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "electric" | | 1 | "mechanical" | | 2 | "quickened" | | 3 | "echoing" | | 4 | "familiar" | | 5 | "rhythmic" | | 6 | "vibrated" | | 7 | "gloom" | | 8 | "echoed" | | 9 | "determined" | | 10 | "weight" |
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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 | 83 | | matches | (empty) | |
| 56.80% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 83 | | filterMatches | | | hedgeMatches | | 0 | "began to" | | 1 | "seemed to" | | 2 | "happened to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1276 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.16% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1217 | | uniqueNames | 21 | | maxNameDensity | 1.4 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | London | 4 | | West | 1 | | End | 1 | | Harlow | 17 | | Quinn | 2 | | Tomás | 1 | | Herrera | 9 | | Morris | 3 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Raven | 1 | | Nest | 1 | | Seville | 1 | | Tube | 1 | | Glock | 1 | | Saint | 1 | | Christopher | 1 | | Veil | 1 | | Market | 1 | | Instantly | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Morris" | | 5 | "Raven" | | 6 | "Saint" | | 7 | "Christopher" |
| | places | | 0 | "London" | | 1 | "West" | | 2 | "End" | | 3 | "Charing" | | 4 | "Cross" | | 5 | "Road" | | 6 | "Seville" |
| | globalScore | 0.802 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 1 | | matches | | 0 | "herbs that seemed to twitch in the draft, and weapons forged from metals that burned too bright" |
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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 | 1276 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 42.53 | | std | 24.82 | | cv | 0.583 | | sampleLengths | | 0 | 47 | | 1 | 32 | | 2 | 69 | | 3 | 79 | | 4 | 87 | | 5 | 28 | | 6 | 52 | | 7 | 88 | | 8 | 12 | | 9 | 85 | | 10 | 25 | | 11 | 63 | | 12 | 12 | | 13 | 52 | | 14 | 23 | | 15 | 30 | | 16 | 4 | | 17 | 29 | | 18 | 10 | | 19 | 43 | | 20 | 16 | | 21 | 67 | | 22 | 58 | | 23 | 41 | | 24 | 50 | | 25 | 14 | | 26 | 54 | | 27 | 33 | | 28 | 64 | | 29 | 9 |
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| 92.58% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 83 | | matches | | 0 | "were choked" | | 1 | "were thronged" | | 2 | "was pushed" |
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| 27.29% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 193 | | matches | | 0 | "was carrying" | | 1 | "was watching" | | 2 | "was standing" | | 3 | "was clutching" | | 4 | "wasn't turning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 86 | | ratio | 0.058 | | matches | | 0 | "Harlow pressed a hand against her left wrist, her fingers brushing the worn leather strap of her watch—a nervous tic she’d developed three years ago, after the department buried DS Morris." | | 1 | "It wasn't the sound of subterranean trains; it was a deep, choral hum, like a hive of bees trapped in a copper pipe." | | 2 | "The space opened up into a towering subterranean cavern—an abandoned train hall from a forgotten era of London’s transit system, but transformed." | | 3 | "The sleeve of his canvas jacket was pushed up, revealing the long, jagged scar running along his left forearm—the mark of a knife attack he’d barely survived years ago." | | 4 | "Harlow felt the weight of their gaze—cold, predatory, and entirely unbothered by the authority of her badge." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 230 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.030434782608695653 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.008695652173913044 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 14.84 | | std | 8.63 | | cv | 0.582 | | sampleLengths | | 0 | 26 | | 1 | 21 | | 2 | 4 | | 3 | 14 | | 4 | 14 | | 5 | 31 | | 6 | 5 | | 7 | 33 | | 8 | 11 | | 9 | 17 | | 10 | 20 | | 11 | 31 | | 12 | 4 | | 13 | 21 | | 14 | 6 | | 15 | 40 | | 16 | 16 | | 17 | 12 | | 18 | 2 | | 19 | 14 | | 20 | 17 | | 21 | 17 | | 22 | 18 | | 23 | 5 | | 24 | 19 | | 25 | 16 | | 26 | 11 | | 27 | 37 | | 28 | 12 | | 29 | 31 | | 30 | 18 | | 31 | 13 | | 32 | 23 | | 33 | 10 | | 34 | 15 | | 35 | 10 | | 36 | 13 | | 37 | 14 | | 38 | 12 | | 39 | 3 | | 40 | 11 | | 41 | 12 | | 42 | 8 | | 43 | 13 | | 44 | 31 | | 45 | 11 | | 46 | 12 | | 47 | 6 | | 48 | 10 | | 49 | 14 |
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| 55.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.36046511627906974 | | totalSentences | 86 | | uniqueOpeners | 31 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 82 | | matches | | 0 | "Instead, he dipped his hand" | | 1 | "Instead of complying, Herrera scrambled" | | 2 | "Instead of commuters, the platforms" | | 3 | "Instantly, the atmosphere changed." |
| | ratio | 0.049 | |
| 83.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 82 | | matches | | 0 | "It was Tomás Herrera." | | 1 | "She’d recognize that hurried, limping" | | 2 | "He was moving too fast" | | 3 | "Its steady, mechanical tick-tick-tick was" | | 4 | "She kept her distance, tracking" | | 5 | "He was carrying something." | | 6 | "He was the patch-up man" | | 7 | "she muttered under her breath," | | 8 | "She wanted to see where" | | 9 | "She reached inside her coat," | | 10 | "She slipped through the gap" | | 11 | "It wasn't the sound of" | | 12 | "She rounded a landing and" | | 13 | "He was standing before a" | | 14 | "He pulled out a Saint" | | 15 | "It was a finger joint," | | 16 | "She abandoned all pretense of" | | 17 | "His warm brown eyes widened" | | 18 | "His gaze darted from Harlow’s" | | 19 | "he shouted, his voice cracking" |
| | ratio | 0.341 | |
| 63.66% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 82 | | matches | | 0 | "The neon glare of London’s" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "It was Tomás Herrera." | | 3 | "She’d recognize that hurried, limping" | | 4 | "He was moving too fast" | | 5 | "Harlow pressed a hand against" | | 6 | "The watch had been his." | | 7 | "Its steady, mechanical tick-tick-tick was" | | 8 | "Herrera turned sharply down a" | | 9 | "Harlow quickened her pace, her" | | 10 | "She kept her distance, tracking" | | 11 | "He was carrying something." | | 12 | "A heavy canvas satchel was" | | 13 | "Harlow knew his file by" | | 14 | "He was the patch-up man" | | 15 | "she muttered under her breath," | | 16 | "She wanted to see where" | | 17 | "The rain intensified, a driving" | | 18 | "Herrera slipped into the mouth" | | 19 | "A rusted iron gate hung" |
| | ratio | 0.793 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 82 | | matches | | 0 | "Even in the gloom, Harlow’s" | | 1 | "Before the door could seal" |
| | ratio | 0.024 | |
| 28.06% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 9 | | matches | | 0 | "Its steady, mechanical tick-tick-tick was the only anchor she had left in a world that had ceased making sense the night Morris died in a warehouse that smelled…" | | 1 | "Harlow quickened her pace, her boots splashing through deep puddles, her military-precise stride eating up the distance." | | 2 | "She kept her distance, tracking him past the shuttered storefronts and the glowing green neon sign of The Raven’s Nest." | | 3 | "A heavy canvas satchel was slung across his chest, tucked securely under his arm as if it contained his very life." | | 4 | "The rain intensified, a driving sheet of water that stung her eyes and blurred the street lamps." | | 5 | "But 18 years of service had also taught her that turning this in to dispatch would only result in a pair of uniformed officers finding nothing but damp concrete…" | | 6 | "The air grew rapidly colder, thick with the smell of wet soot, rusted iron, and a strange, metallic sweetness that made the hair on the back of her neck stand u…" | | 7 | "He was standing before a massive, graffiti-scrawled steel fire door that shouldn't have been there." | | 8 | "On the tables, Harlow saw things that defied the logic of her clean, analytical mind: jars of pulsing silver liquid, dried herbs that seemed to twitch in the dr…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 3 | | matches | | 0 | "he shouted, his voice cracking with genuine fear" | | 1 | "Harlow called out, her voice cutting through the low murmur of the market" | | 2 | "he whispered, though the words carried across the silent hall" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 5 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "he shouted (shout)" | | 2 | "Harlow yelled (yell)" | | 3 | "Harlow called out (call out)" | | 4 | "he whispered (whisper)" |
| | dialogueSentences | 9 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |