| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "He nodded upward [upward]" |
| | dialogueSentences | 38 | | tagDensity | 0.237 | | leniency | 0.474 | | rawRatio | 0.111 | | effectiveRatio | 0.053 | |
| 80.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1250 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "precisely" | | 1 | "slowly" | | 2 | "slightly" | | 3 | "very" |
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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) | |
| 96.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1250 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 7 | | totalWords | 1254 | | ratio | 0.006 | | matches | | 0 | "Swept." | | 1 | "eroded" | | 2 | "Moves locations every full moon." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 904 | | uniqueNames | 10 | | maxNameDensity | 1 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Whitaker" | | discoveredNames | | Quinn | 9 | | Whitaker | 8 | | Job | 1 | | April | 1 | | Wapping | 2 | | Morris | 2 | | Beale | 5 | | Oyster | 1 | | Callum | 2 | | Whitechapel | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Whitaker" | | 2 | "Job" | | 3 | "Morris" | | 4 | "Beale" |
| | places | | 0 | "Wapping" | | 1 | "Callum" | | 2 | "Whitechapel" |
| | globalScore | 1 | | windowScore | 1 | |
| 38.89% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 2 | | matches | | 0 | "quite ozone, something she had smelled precisely once before, three years ago, in a warehouse in Wapping where DS Morris had gone in through the front door and had never walked out again" | | 1 | "as though reaching" |
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| 40.51% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.595 | | wordCount | 1254 | | matches | | 0 | "not scorched like fire, but *eroded*, as though the tile had aged a century in a patch t" | | 1 | "not in the slack unclench of the newly dead but in the deliberate shape of something having been held" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 110 | | matches | | 0 | "pushed that thought" | | 1 | "seen that pattern" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 25.59 | | std | 28.05 | | cv | 1.096 | | sampleLengths | | 0 | 33 | | 1 | 40 | | 2 | 120 | | 3 | 16 | | 4 | 41 | | 5 | 22 | | 6 | 1 | | 7 | 59 | | 8 | 15 | | 9 | 48 | | 10 | 1 | | 11 | 1 | | 12 | 4 | | 13 | 8 | | 14 | 7 | | 15 | 1 | | 16 | 58 | | 17 | 8 | | 18 | 59 | | 19 | 15 | | 20 | 35 | | 21 | 46 | | 22 | 85 | | 23 | 55 | | 24 | 1 | | 25 | 3 | | 26 | 83 | | 27 | 4 | | 28 | 10 | | 29 | 12 | | 30 | 7 | | 31 | 4 | | 32 | 3 | | 33 | 5 | | 34 | 2 | | 35 | 83 | | 36 | 1 | | 37 | 15 | | 38 | 75 | | 39 | 34 | | 40 | 17 | | 41 | 5 | | 42 | 1 | | 43 | 15 | | 44 | 3 | | 45 | 35 | | 46 | 20 | | 47 | 29 | | 48 | 9 |
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| 92.43% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 82 | | matches | | 0 | "was turned" | | 1 | "were streaked" | | 2 | "were curled" | | 3 | "been held" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 141 | | matches | | |
| 64.94% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 110 | | ratio | 0.027 | | matches | | 0 | "Eighteen years on the Job had taught her to read a scene the way other people read a room — the air first, then the light, then the placement of things." | | 1 | "*Swept.* As though a wind had come through and settled it all flat again — a wind that had blown outward from Beale himself, leaving a clean, petaled shape like the imprint of an opening flower." | | 2 | "A stain the colour of weak tea, roughly triangular, the edges of it burned — not scorched like fire, but *eroded*, as though the tile had aged a century in a patch the size of a saucer." |
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| 94.35% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 904 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.046460176991150445 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011061946902654867 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 11.4 | | std | 11.32 | | cv | 0.993 | | sampleLengths | | 0 | 33 | | 1 | 10 | | 2 | 22 | | 3 | 8 | | 4 | 19 | | 5 | 6 | | 6 | 31 | | 7 | 5 | | 8 | 15 | | 9 | 44 | | 10 | 16 | | 11 | 22 | | 12 | 8 | | 13 | 11 | | 14 | 8 | | 15 | 14 | | 16 | 1 | | 17 | 37 | | 18 | 22 | | 19 | 3 | | 20 | 12 | | 21 | 18 | | 22 | 8 | | 23 | 15 | | 24 | 4 | | 25 | 3 | | 26 | 1 | | 27 | 1 | | 28 | 4 | | 29 | 5 | | 30 | 3 | | 31 | 7 | | 32 | 1 | | 33 | 51 | | 34 | 7 | | 35 | 5 | | 36 | 3 | | 37 | 11 | | 38 | 10 | | 39 | 38 | | 40 | 4 | | 41 | 11 | | 42 | 25 | | 43 | 10 | | 44 | 7 | | 45 | 29 | | 46 | 4 | | 47 | 6 | | 48 | 29 | | 49 | 16 |
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| 82.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5181818181818182 | | totalSentences | 110 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 67 | | matches | | 0 | "Too cold for April, too" | | 1 | "Somewhere, very faintly, she thought" | | 2 | "Then she turned and climbed" |
| | ratio | 0.045 | |
| 70.75% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 67 | | matches | | 0 | "He was a broad man," | | 1 | "She thumbed it straight without" | | 2 | "It carried a scent that" | | 3 | "She pushed that thought back" | | 4 | "His face, what she could" | | 5 | "He nodded upward" | | 6 | "She crouched beside the body," | | 7 | "He tipped his head back." | | 8 | "she said, She lifted her" | | 9 | "He crouched beside her, frowning." | | 10 | "She moved the beam up" | | 11 | "She stood and stepped back" | | 12 | "She walked the platform slowly," | | 13 | "She was looking at the" | | 14 | "It lay everywhere in a" | | 15 | "She crouched again, ten feet" | | 16 | "She'd seen that pattern before." | | 17 | "Her mouth went dry." | | 18 | "She kept her voice even" | | 19 | "She looked at Callum Beale's" |
| | ratio | 0.373 | |
| 57.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 67 | | matches | | 0 | "The rain had stopped by" | | 1 | "DS Whitaker's voice echoed off" | | 2 | "He was a broad man," | | 3 | "Quinn descended the last of" | | 4 | "She thumbed it straight without" | | 5 | "The air here was wrong." | | 6 | "It carried a scent that" | | 7 | "She pushed that thought back" | | 8 | "The body lay on its" | | 9 | "His face, what she could" | | 10 | "Whitaker said, flipping his notebook" | | 11 | "He nodded upward" | | 12 | "Quinn said nothing." | | 13 | "She crouched beside the body," | | 14 | "The masonry Whitaker meant sat" | | 15 | "Quinn considered the pool." | | 16 | "He tipped his head back." | | 17 | "she said, She lifted her" | | 18 | "He crouched beside her, frowning." | | 19 | "She moved the beam up" |
| | ratio | 0.806 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "It carried a scent that wasn't quite damp rot and wasn't quite ozone, something she had smelled precisely once before, three years ago, in a warehouse in Wappin…" | | 1 | "The SOCOs had marked a few cigarette ends near the stairs, a crushed Oyster card, a boot print in the dust that matched, Whitaker said, the deceased's own shoes…" | | 2 | "A stain the colour of weak tea, roughly triangular, the edges of it burned — not scorched like fire, but *eroded*, as though the tile had aged a century in a pa…" | | 3 | "She looked again at the arched tunnel mouth, the dust petalled outward, the tea-coloured burn on the tile, the splinter of bone in a dead art dealer's glove, an…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.105 | | leniency | 0.211 | | rawRatio | 0 | | effectiveRatio | 0 | |