| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said again [again]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 68 | | tagDensity | 0.309 | | leniency | 0.618 | | rawRatio | 0.095 | | effectiveRatio | 0.059 | |
| 79.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1455 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "gently" | | 2 | "really" | | 3 | "completely" | | 4 | "very" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 86.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1455 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "stomach" | | 1 | "weight" | | 2 | "sense of" | | 3 | "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 | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1463 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 820 | | uniqueNames | 13 | | maxNameDensity | 1.83 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Brewer | 1 | | Street | 1 | | Rory | 15 | | Raven | 1 | | Nest | 1 | | God | 1 | | Silas | 5 | | Tuesday | 1 | | Cardiff | 1 | | Eva | 14 | | Portuguese | 1 | | Started | 1 | | Roath | 1 |
| | persons | | | places | | 0 | "Brewer" | | 1 | "Street" | | 2 | "Raven" | | 3 | "Cardiff" | | 4 | "Roath" |
| | globalScore | 0.585 | | windowScore | 0.333 | |
| 14.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite trusting it" | | 1 | "sounded like Portuguese" |
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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 | 1463 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 115 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 73 | | mean | 20.04 | | std | 19.78 | | cv | 0.987 | | sampleLengths | | 0 | 61 | | 1 | 35 | | 2 | 2 | | 3 | 7 | | 4 | 78 | | 5 | 21 | | 6 | 35 | | 7 | 1 | | 8 | 3 | | 9 | 82 | | 10 | 52 | | 11 | 27 | | 12 | 4 | | 13 | 21 | | 14 | 49 | | 15 | 4 | | 16 | 26 | | 17 | 46 | | 18 | 12 | | 19 | 1 | | 20 | 4 | | 21 | 5 | | 22 | 30 | | 23 | 7 | | 24 | 5 | | 25 | 8 | | 26 | 56 | | 27 | 4 | | 28 | 4 | | 29 | 17 | | 30 | 37 | | 31 | 5 | | 32 | 57 | | 33 | 4 | | 34 | 2 | | 35 | 11 | | 36 | 19 | | 37 | 32 | | 38 | 33 | | 39 | 2 | | 40 | 5 | | 41 | 3 | | 42 | 54 | | 43 | 4 | | 44 | 5 | | 45 | 23 | | 46 | 4 | | 47 | 17 | | 48 | 37 | | 49 | 8 |
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| 89.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 68 | | matches | | 0 | "was plastered" | | 1 | "been revised" | | 2 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 138 | | matches | | 0 | "was slapping" | | 1 | "were just clothing" |
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| 68.32% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 115 | | ratio | 0.026 | | matches | | 0 | "She hung the bag on the hook by the door — her hook, established over eight months by nothing more than repetition — and shook her hair out like a dog." | | 1 | "The face was the same underneath — that was the awful part, the way the bones held the same argument they always had — but everything laid over the top had been revised." | | 2 | "Eva laughed — a real one, sudden and ugly and completely nineteen, and for a moment the coat and the hair and the eyes were just clothing over the top of the girl who'd once climbed out of a first-floor window in Roath rather than admit she'd been crying." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 511 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.03522504892367906 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0136986301369863 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 12.72 | | std | 12.24 | | cv | 0.962 | | sampleLengths | | 0 | 49 | | 1 | 3 | | 2 | 9 | | 3 | 6 | | 4 | 29 | | 5 | 2 | | 6 | 7 | | 7 | 31 | | 8 | 20 | | 9 | 4 | | 10 | 23 | | 11 | 21 | | 12 | 9 | | 13 | 3 | | 14 | 23 | | 15 | 1 | | 16 | 3 | | 17 | 5 | | 18 | 33 | | 19 | 19 | | 20 | 14 | | 21 | 11 | | 22 | 14 | | 23 | 34 | | 24 | 4 | | 25 | 2 | | 26 | 25 | | 27 | 4 | | 28 | 16 | | 29 | 5 | | 30 | 7 | | 31 | 20 | | 32 | 22 | | 33 | 4 | | 34 | 19 | | 35 | 7 | | 36 | 32 | | 37 | 7 | | 38 | 7 | | 39 | 11 | | 40 | 1 | | 41 | 1 | | 42 | 4 | | 43 | 5 | | 44 | 10 | | 45 | 20 | | 46 | 7 | | 47 | 5 | | 48 | 5 | | 49 | 3 |
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| 53.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3391304347826087 | | totalSentences | 115 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 52 | | matches | | 0 | "Then the posture." | | 1 | "Then something in the shoulders," | | 2 | "Then something moved through her" |
| | ratio | 0.058 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 52 | | matches | | 0 | "He was at the far" | | 1 | "She hung the bag on" | | 2 | "It was and it wasn't." | | 3 | "She'd lost weight in the" | | 4 | "She said it flatly, the" | | 5 | "It went on slightly too" | | 6 | "She hooked a stool over" | | 7 | "she said finally" | | 8 | "Her eyes were the same." | | 9 | "She had learned this from" | | 10 | "She turned the lemon twist" | | 11 | "She didn't remember deciding." |
| | ratio | 0.231 | |
| 85.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 52 | | matches | | 0 | "The rain had come on" | | 1 | "Silas said without looking up" | | 2 | "He was at the far" | | 3 | "She hung the bag on" | | 4 | "Rory registered the coat first," | | 5 | "The woman turned." | | 6 | "It was and it wasn't." | | 7 | "The face was the same" | | 8 | "Eva's hair had gone from" | | 9 | "She'd lost weight in the" | | 10 | "She said it flatly, the" | | 11 | "It went on slightly too" | | 12 | "Rory looked at her, still" | | 13 | "Eva sat back down, arranged" | | 14 | "Silas set a glass of" | | 15 | "The signet ring caught the" | | 16 | "Rory had learned to read" | | 17 | "She hooked a stool over" | | 18 | "Rory laughed, and it came" | | 19 | "Eva smiled at her drink." |
| | ratio | 0.75 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 5 | | matches | | 0 | "The rain had come on hard somewhere around Brewer Street, the kind that soaks through a jacket in stages, and by the time Rory pushed into the Raven's Nest her …" | | 1 | "Three customers: a man reading a newspaper as if it were 1974, a couple in the corner having a conversation in aggressive whispers." | | 2 | "It went on slightly too long and then ended slightly too abruptly, both of them stepping back at once as though the other had signalled." | | 3 | "She had learned this from Silas, who had learned it in rooms she would never see the inside of: that silence is a tool and most people cannot bear to be near on…" | | 4 | "Eva laughed — a real one, sudden and ugly and completely nineteen, and for a moment the coat and the hair and the eyes were just clothing over the top of the gi…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva said again, gently," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 68 | | tagDensity | 0.221 | | leniency | 0.441 | | rawRatio | 0 | | effectiveRatio | 0 | |