| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1487 | | 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) | |
| 56.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1487 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "disrupted" | | 1 | "magnetic" | | 2 | "charged" | | 3 | "resolved" | | 4 | "etched" | | 5 | "shimmered" | | 6 | "absolutely" | | 7 | "fractured" | | 8 | "measured" | | 9 | "pulsed" | | 10 | "weight" | | 11 | "crystal" | | 12 | "silence" |
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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 | 131 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 131 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 159 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 20 | | totalWords | 1475 | | ratio | 0.014 | | matches | | 0 | "You found the body. Don't touch the walls. Meet me at the Regent Street exit, twenty minutes. Bring the token." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.61% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1113 | | uniqueNames | 13 | | maxNameDensity | 1.35 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Hargreaves | 10 | | Quinn | 15 | | Bovril | 1 | | Victorian | 1 | | Camden | 1 | | Market | 1 | | Eva | 1 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | Regent | 1 | | Street | 1 |
| | persons | | 0 | "Hargreaves" | | 1 | "Quinn" | | 2 | "Victorian" | | 3 | "Eva" | | 4 | "Kowalski" |
| | places | | 0 | "British" | | 1 | "Regent" | | 2 | "Street" |
| | globalScore | 0.826 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | 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 | 1475 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 159 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 24.18 | | std | 23.4 | | cv | 0.968 | | sampleLengths | | 0 | 12 | | 1 | 72 | | 2 | 44 | | 3 | 52 | | 4 | 1 | | 5 | 1 | | 6 | 3 | | 7 | 52 | | 8 | 7 | | 9 | 6 | | 10 | 73 | | 11 | 9 | | 12 | 16 | | 13 | 7 | | 14 | 61 | | 15 | 5 | | 16 | 5 | | 17 | 59 | | 18 | 3 | | 19 | 76 | | 20 | 8 | | 21 | 7 | | 22 | 7 | | 23 | 80 | | 24 | 7 | | 25 | 15 | | 26 | 17 | | 27 | 48 | | 28 | 8 | | 29 | 39 | | 30 | 10 | | 31 | 50 | | 32 | 4 | | 33 | 2 | | 34 | 3 | | 35 | 17 | | 36 | 64 | | 37 | 2 | | 38 | 6 | | 39 | 9 | | 40 | 35 | | 41 | 43 | | 42 | 6 | | 43 | 52 | | 44 | 4 | | 45 | 21 | | 46 | 23 | | 47 | 46 | | 48 | 68 | | 49 | 7 |
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| 97.23% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 131 | | matches | | 0 | "was frozen" | | 1 | "been replaced" | | 2 | "was coated" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 193 | | matches | | 0 | "wasn't reading" | | 1 | "were trying" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 159 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1119 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.02680965147453083 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0035746201966041107 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 159 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 159 | | mean | 9.28 | | std | 7.87 | | cv | 0.848 | | sampleLengths | | 0 | 12 | | 1 | 16 | | 2 | 26 | | 3 | 7 | | 4 | 3 | | 5 | 20 | | 6 | 21 | | 7 | 23 | | 8 | 4 | | 9 | 7 | | 10 | 19 | | 11 | 2 | | 12 | 2 | | 13 | 3 | | 14 | 2 | | 15 | 13 | | 16 | 1 | | 17 | 1 | | 18 | 3 | | 19 | 31 | | 20 | 8 | | 21 | 13 | | 22 | 7 | | 23 | 6 | | 24 | 9 | | 25 | 21 | | 26 | 5 | | 27 | 16 | | 28 | 13 | | 29 | 2 | | 30 | 1 | | 31 | 4 | | 32 | 1 | | 33 | 1 | | 34 | 9 | | 35 | 8 | | 36 | 8 | | 37 | 7 | | 38 | 8 | | 39 | 4 | | 40 | 12 | | 41 | 18 | | 42 | 8 | | 43 | 5 | | 44 | 2 | | 45 | 4 | | 46 | 5 | | 47 | 5 | | 48 | 4 | | 49 | 22 |
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| 59.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.389937106918239 | | totalSentences | 159 | | uniqueOpeners | 62 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 111 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 111 | | matches | | 0 | "She'd seen petrol rainbows on" | | 1 | "She studied the dead man's" | | 2 | "His fingernails were immaculate, manicured" | | 3 | "She leaned closer." | | 4 | "He clicked his pen twice" | | 5 | "She followed the marks, footprints," | | 6 | "They fanned out from the" | | 7 | "She photographed them without comment." | | 8 | "She'd bought the thing three" | | 9 | "She'd told herself it was" | | 10 | "It pointed at the wall." | | 11 | "He did, grumbling about proper" | | 12 | "They matched the markings etched" | | 13 | "She crouched again and this" | | 14 | "His sleeve rode up, revealing" | | 15 | "His trousers had a crease" | | 16 | "His shoes were polished." | | 17 | "His mouth gaped wide, jaw" | | 18 | "His eyes were open." | | 19 | "They were white." |
| | ratio | 0.297 | |
| 59.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 111 | | matches | | 0 | "The body lay face-down in" | | 1 | "Quinn crouched at the edge" | | 2 | "The substance caught the light" | | 3 | "She'd seen petrol rainbows on" | | 4 | "This wasn't that." | | 5 | "This was something else, something" | | 6 | "DS Hargreaves read from his" | | 7 | "Quinn didn't look up." | | 8 | "She studied the dead man's" | | 9 | "His fingernails were immaculate, manicured" | | 10 | "She leaned closer." | | 11 | "The granules caught the torchlight" | | 12 | "He clicked his pen twice" | | 13 | "A nervous habit he didn't" | | 14 | "Quinn stood and swept her" | | 15 | "The beam carved through decades" | | 16 | "She followed the marks, footprints," | | 17 | "They fanned out from the" | | 18 | "People had gathered here." | | 19 | "Hargreaves joined her, shining his" |
| | ratio | 0.802 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 111 | | matches | (empty) | | ratio | 0 | |
| 26.58% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 7 | | matches | | 0 | "The body lay face-down in a puddle of something that wasn't water." | | 1 | "Another was narrow, pointed, expensive, the kind of shoe that cost more than Hargreaves made in a week." | | 2 | "A deliberate, aggressive rotation, as if the needle were trying to unscrew itself from the face." | | 3 | "The irises and pupils had been replaced, overwritten, by a milky opacity that shimmered faintly in the torchlight." | | 4 | "The inside of his mouth was coated in the same dark granular substance that stained his fingertips." | | 5 | "Hardened into faceted surfaces that caught and fractured the torchlight into those impossible colours." | | 6 | "Everything in this station radiated a low, persistent heat that had nothing to do with temperature." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice flattening into something measured and deliberate," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0 | | effectiveRatio | 0 | |