| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1135 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "gently" | | 1 | "deliberately" | | 2 | "slightly" | | 3 | "carefully" |
| |
| 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) | |
| 73.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1135 | | totalAiIsms | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "the last thing" | | count | 1 |
|
| | highlights | | 0 | "perfect" | | 1 | "processed" | | 2 | "etched" | | 3 | "electric" | | 4 | "the last thing" |
| |
| 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 | 1 | | narrationSentences | 96 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 96 | | filterMatches | (empty) | | 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 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1135 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.06% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 971 | | uniqueNames | 11 | | maxNameDensity | 1.34 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Mornington | 1 | | Road | 2 | | Quinn | 13 | | Callum | 1 | | Pierce | 7 | | Greek | 1 | | Copper | 1 | | Morris | 1 | | Whitechapel | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Callum" | | 2 | "Pierce" | | 3 | "Morris" |
| | places | | 0 | "Mornington" | | 1 | "Road" | | 2 | "Whitechapel" |
| | globalScore | 0.831 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.643 | | wordCount | 1135 | | matches | | 0 | "not in panic but in order, single file, toward the far northern end of the pl" | | 1 | "not pain, not fear, but pure bewilderment, as though the last thing he had seen was" | | 2 | "not fear, but pure bewilderment, as though the last thing he had seen was" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 25.8 | | std | 20.52 | | cv | 0.795 | | sampleLengths | | 0 | 24 | | 1 | 59 | | 2 | 42 | | 3 | 46 | | 4 | 1 | | 5 | 28 | | 6 | 12 | | 7 | 5 | | 8 | 53 | | 9 | 15 | | 10 | 38 | | 11 | 40 | | 12 | 3 | | 13 | 16 | | 14 | 26 | | 15 | 34 | | 16 | 5 | | 17 | 15 | | 18 | 27 | | 19 | 35 | | 20 | 4 | | 21 | 40 | | 22 | 67 | | 23 | 3 | | 24 | 11 | | 25 | 66 | | 26 | 13 | | 27 | 9 | | 28 | 44 | | 29 | 46 | | 30 | 50 | | 31 | 71 | | 32 | 27 | | 33 | 7 | | 34 | 12 | | 35 | 65 | | 36 | 1 | | 37 | 10 | | 38 | 15 | | 39 | 5 | | 40 | 12 | | 41 | 3 | | 42 | 15 | | 43 | 15 |
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| 86.99% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 96 | | matches | | 0 | "been disturbed" | | 1 | "was carved" | | 2 | "been bricked" | | 3 | "been disturbed" | | 4 | "was etched" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 151 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 110 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 977 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.0368474923234391 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.017400204708290685 | |
| 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 | 10.32 | | std | 7.37 | | cv | 0.714 | | sampleLengths | | 0 | 8 | | 1 | 14 | | 2 | 2 | | 3 | 12 | | 4 | 11 | | 5 | 20 | | 6 | 7 | | 7 | 9 | | 8 | 5 | | 9 | 21 | | 10 | 2 | | 11 | 2 | | 12 | 12 | | 13 | 14 | | 14 | 18 | | 15 | 14 | | 16 | 1 | | 17 | 11 | | 18 | 17 | | 19 | 7 | | 20 | 5 | | 21 | 5 | | 22 | 10 | | 23 | 8 | | 24 | 22 | | 25 | 6 | | 26 | 7 | | 27 | 6 | | 28 | 9 | | 29 | 9 | | 30 | 4 | | 31 | 13 | | 32 | 4 | | 33 | 8 | | 34 | 2 | | 35 | 15 | | 36 | 23 | | 37 | 3 | | 38 | 9 | | 39 | 7 | | 40 | 5 | | 41 | 10 | | 42 | 11 | | 43 | 11 | | 44 | 21 | | 45 | 1 | | 46 | 1 | | 47 | 5 | | 48 | 15 | | 49 | 11 |
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| 60.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.41818181818181815 | | totalSentences | 110 | | uniqueOpeners | 46 | |
| 39.22% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 85 | | matches | | 0 | "Almost like spokes on a" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 85 | | matches | | 0 | "Her torch swept the platform." | | 1 | "He was twenty-nine, newly promoted," | | 2 | "He clicked his pen twice" | | 3 | "She swept her torch wide" | | 4 | "He didn't argue, which meant" | | 5 | "She stepped closer and held" | | 6 | "She crouched again, this time" | | 7 | "She worked one finger under" | | 8 | "It was carved, deliberately, into" | | 9 | "He said new-age the way" | | 10 | "She walked toward it, torch" | | 11 | "It gave slightly." | | 12 | "She pressed harder, and the" | | 13 | "Her torch picked out the" | | 14 | "She crouched without touching it." | | 15 | "It pointed, rigid and certain," | | 16 | "She turned and followed his" | | 17 | "She stared at the symbols" | | 18 | "Her green eyes found the" | | 19 | "she said, carefully" |
| | ratio | 0.235 | |
| 48.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 85 | | matches | | 0 | "The blood had pooled in" | | 1 | "Quinn crouched over the body" | | 2 | "The damp concrete smell mixed" | | 3 | "The station hadn't seen passengers" | | 4 | "Her torch swept the platform." | | 5 | "The body was male, early" | | 6 | "DS Callum Pierce said from" | | 7 | "He was twenty-nine, newly promoted," | | 8 | "He clicked his pen twice" | | 9 | "Quinn looked at the blood" | | 10 | "She swept her torch wide" | | 11 | "The platform stretched sixty feet" | | 12 | "The dust near the body" | | 13 | "Pierce wrote something in his" | | 14 | "He didn't argue, which meant" | | 15 | "Quinn straightened and turned her" | | 16 | "The grime wasn't uniform." | | 17 | "Someone had worked on it" | | 18 | "She stepped closer and held" | | 19 | "The lines were too precise," |
| | ratio | 0.824 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 86.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 3 | | matches | | 0 | "The body was male, early thirties, dressed in expensive trainers and a jacket that had cost more than Quinn's monthly mortgage." | | 1 | "Geometric shapes interlocking with symbols she didn't recognise, circles inside triangles inside squares, with characters that looked almost like Greek letters …" | | 2 | "The same expression on his face, not pain, not fear, but pure bewilderment, as though the last thing he had seen was something the world had no business contain…" |
| |
| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "She pressed, and the section swung inward on a gust of air that carried that sharp smell again, stronger now" | | 1 | "she said, carefully," |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 24 | | tagDensity | 0.208 | | leniency | 0.417 | | rawRatio | 0.2 | | effectiveRatio | 0.083 | |