| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1219 | | 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) | |
| 79.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1219 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "flickered" | | 1 | "weight" | | 2 | "blown wide" | | 3 | "could feel" | | 4 | "tracing" |
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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 | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1231 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 1 | | matches | | 0 | "Late thirties, she corrected Bevan silently — the lines around the mouth gave it away." |
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| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 944 | | uniqueNames | 9 | | maxNameDensity | 1.27 | | worstName | "Bevan" | | maxWindowNameDensity | 3 | | worstWindowName | "Bevan" | | discoveredNames | | Camden | 1 | | Road | 1 | | Sidings | 1 | | Tube | 1 | | Blitz | 1 | | Morris | 3 | | Bevan | 12 | | Whitechapel | 1 | | Quinn | 5 |
| | persons | | 0 | "Morris" | | 1 | "Bevan" | | 2 | "Quinn" |
| | places | | 0 | "Camden" | | 1 | "Road" | | 2 | "Sidings" | | 3 | "Whitechapel" |
| | globalScore | 0.864 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.812 | | wordCount | 1231 | | matches | | 0 | "not the stride of a man, but something smaller" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 29.31 | | std | 27.65 | | cv | 0.943 | | sampleLengths | | 0 | 89 | | 1 | 45 | | 2 | 47 | | 3 | 7 | | 4 | 9 | | 5 | 46 | | 6 | 1 | | 7 | 49 | | 8 | 17 | | 9 | 57 | | 10 | 9 | | 11 | 5 | | 12 | 6 | | 13 | 59 | | 14 | 8 | | 15 | 31 | | 16 | 52 | | 17 | 20 | | 18 | 2 | | 19 | 3 | | 20 | 59 | | 21 | 19 | | 22 | 10 | | 23 | 5 | | 24 | 80 | | 25 | 7 | | 26 | 7 | | 27 | 16 | | 28 | 5 | | 29 | 39 | | 30 | 30 | | 31 | 20 | | 32 | 11 | | 33 | 100 | | 34 | 18 | | 35 | 75 | | 36 | 32 | | 37 | 22 | | 38 | 2 | | 39 | 2 | | 40 | 93 | | 41 | 17 |
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| 91.04% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 74 | | matches | | 0 | "was supposed" | | 1 | "were rimed" | | 2 | "was eaten" |
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| 23.40% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 151 | | matches | | 0 | "was waiting" | | 1 | "was already crouching" | | 2 | "was looking" | | 3 | "was thinking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 96 | | ratio | 0.083 | | matches | | 0 | "The platform smelled of wet iron and something older — like a cellar that had forgotten it was supposed to be a cellar." | | 1 | "Late thirties, she corrected Bevan silently — the lines around the mouth gave it away." | | 2 | "Eyes half open, pupils blown wide — wider than they had any right to be in the beam of her light." | | 3 | "Not concrete dust — she rubbed her thumb against the platform and compared." | | 4 | "The dust on the platform was thick — decades of it — and disturbed in a way that didn't match the story." | | 5 | "A third set — the victim's, matching his shoes — came from the tunnel mouth to the north." | | 6 | "And another, tracing a curved line away toward the tunnel — not the stride of a man, but something smaller and more deliberate, as if a cane had walked itself across the platform and then thought better of the whole business." | | 7 | "And somewhere in the tangle of it — she was almost sure — was the shape of a girl she'd been watching for six months, and the friends that girl kept, and the strange small economies of a city that insisted, against all her training, on being stranger than it had any right to be." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 826 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.031476997578692496 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007263922518159807 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 12.82 | | std | 10.74 | | cv | 0.837 | | sampleLengths | | 0 | 23 | | 1 | 36 | | 2 | 10 | | 3 | 20 | | 4 | 12 | | 5 | 1 | | 6 | 8 | | 7 | 11 | | 8 | 13 | | 9 | 29 | | 10 | 18 | | 11 | 7 | | 12 | 6 | | 13 | 3 | | 14 | 22 | | 15 | 24 | | 16 | 1 | | 17 | 8 | | 18 | 12 | | 19 | 29 | | 20 | 3 | | 21 | 14 | | 22 | 18 | | 23 | 15 | | 24 | 6 | | 25 | 18 | | 26 | 9 | | 27 | 5 | | 28 | 6 | | 29 | 9 | | 30 | 50 | | 31 | 4 | | 32 | 4 | | 33 | 5 | | 34 | 16 | | 35 | 10 | | 36 | 12 | | 37 | 21 | | 38 | 4 | | 39 | 7 | | 40 | 1 | | 41 | 7 | | 42 | 8 | | 43 | 12 | | 44 | 2 | | 45 | 3 | | 46 | 7 | | 47 | 16 | | 48 | 2 | | 49 | 13 |
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| 84.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.53125 | | totalSentences | 96 | | uniqueOpeners | 51 | |
| 48.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 69 | | matches | | 0 | "Somewhere below, a generator coughed," |
| | ratio | 0.014 | |
| 98.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 69 | | matches | | 0 | "Her torch beam slid across" | | 1 | "He raised it in greeting" | | 2 | "She didn't slow" | | 3 | "He was a head shorter," | | 4 | "She was already crouching beside" | | 5 | "She looked at the wound" | | 6 | "She gestured without touching" | | 7 | "She didn't believe it" | | 8 | "She shifted her weight and" | | 9 | "She moved the beam away," | | 10 | "She lifted the man's right" | | 11 | "She stood, knees clicking, and" | | 12 | "He had walked out of" | | 13 | "She kept her voice level" | | 14 | "She pointed at the dead" | | 15 | "She could feel him wanting" | | 16 | "He did not argue." | | 17 | "She was thinking, though she" | | 18 | "She set her torch on" | | 19 | "she said, without looking up" |
| | ratio | 0.304 | |
| 90.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 69 | | matches | | 0 | "The platform smelled of wet" | | 1 | "Quinn ducked under the line" | | 2 | "Her torch beam slid across" | | 3 | "Superstition, Morris used to say," | | 4 | "Quinn pressed her tongue against" | | 5 | "He raised it in greeting" | | 6 | "She didn't slow" | | 7 | "Bevan tipped his cup toward" | | 8 | "Bevan fell into step beside" | | 9 | "He was a head shorter," | | 10 | "Quinn didn't answer." | | 11 | "She was already crouching beside" | | 12 | "The man lay on his" | | 13 | "The knife jutted from his" | | 14 | "She looked at the wound" | | 15 | "She gestured without touching" | | 16 | "Bevan sucked his teeth." | | 17 | "She didn't believe it" | | 18 | "The body sat too naturally," | | 19 | "Nobody arranges a corpse and" |
| | ratio | 0.739 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 55.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 5 | | matches | | 0 | "The platform smelled of wet iron and something older — like a cellar that had forgotten it was supposed to be a cellar." | | 1 | "Quinn ducked under the line of police tape at the top of the service stairs and descended into the dark mouth of Camden Road Sidings, a Tube station that hadn't…" | | 2 | "DI Bevan was waiting on the platform, one hand in the pocket of his waxed jacket, the other holding a paper cup of something that steamed in the cold." | | 3 | "And another, tracing a curved line away toward the tunnel — not the stride of a man, but something smaller and more deliberate, as if a cane had walked itself a…" | | 4 | "And somewhere in the tangle of it — she was almost sure — was the shape of a girl she'd been watching for six months, and the friends that girl kept, and the st…" |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, without looking up" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |