| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 2 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "she asked suddenly [suddenly]" |
| | dialogueSentences | 58 | | tagDensity | 0.086 | | leniency | 0.172 | | rawRatio | 0.4 | | effectiveRatio | 0.069 | |
| 95.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1104 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 45.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1104 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "chaotic" | | 1 | "silk" | | 2 | "weight" | | 3 | "flickered" | | 4 | "rhythmic" | | 5 | "warmth" | | 6 | "calculating" | | 7 | "familiar" | | 8 | "calculated" | | 9 | "chill" | | 10 | "cacophony" |
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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 | 54 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1104 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 618 | | uniqueNames | 8 | | maxNameDensity | 0.32 | | worstName | "Soho" | | maxWindowNameDensity | 0.5 | | worstWindowName | "Soho" | | discoveredNames | | Soho | 2 | | Cardiff | 1 | | University | 1 | | Raven | 1 | | Nest | 1 | | Evan | 1 | | Wardour | 1 | | Street | 1 |
| | persons | | | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "Wardour" | | 3 | "Street" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like ice against my palm" | | 1 | "looked like a polished version of a ghost" | | 2 | "felt like permanent ink under my skin" |
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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 | 1104 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 14.72 | | std | 14.47 | | cv | 0.983 | | sampleLengths | | 0 | 30 | | 1 | 6 | | 2 | 32 | | 3 | 2 | | 4 | 90 | | 5 | 1 | | 6 | 12 | | 7 | 3 | | 8 | 8 | | 9 | 33 | | 10 | 11 | | 11 | 5 | | 12 | 2 | | 13 | 40 | | 14 | 12 | | 15 | 14 | | 16 | 24 | | 17 | 9 | | 18 | 30 | | 19 | 3 | | 20 | 12 | | 21 | 13 | | 22 | 19 | | 23 | 10 | | 24 | 8 | | 25 | 27 | | 26 | 5 | | 27 | 47 | | 28 | 21 | | 29 | 6 | | 30 | 15 | | 31 | 23 | | 32 | 3 | | 33 | 21 | | 34 | 21 | | 35 | 7 | | 36 | 13 | | 37 | 16 | | 38 | 2 | | 39 | 7 | | 40 | 2 | | 41 | 3 | | 42 | 6 | | 43 | 40 | | 44 | 30 | | 45 | 7 | | 46 | 1 | | 47 | 7 | | 48 | 6 | | 49 | 10 |
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| 92.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 54 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 105 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 107 | | ratio | 0.009 | | matches | | 0 | "She didn't ask if she could sit; she simply occupied the space, reclaiming a territory she had abandoned years ago." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 620 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.03225806451612903 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.012903225806451613 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 10.32 | | std | 6.81 | | cv | 0.66 | | sampleLengths | | 0 | 11 | | 1 | 19 | | 2 | 6 | | 3 | 15 | | 4 | 2 | | 5 | 15 | | 6 | 2 | | 7 | 9 | | 8 | 23 | | 9 | 24 | | 10 | 34 | | 11 | 1 | | 12 | 12 | | 13 | 3 | | 14 | 8 | | 15 | 7 | | 16 | 6 | | 17 | 20 | | 18 | 11 | | 19 | 5 | | 20 | 2 | | 21 | 17 | | 22 | 18 | | 23 | 5 | | 24 | 12 | | 25 | 14 | | 26 | 5 | | 27 | 19 | | 28 | 9 | | 29 | 14 | | 30 | 16 | | 31 | 3 | | 32 | 12 | | 33 | 13 | | 34 | 10 | | 35 | 9 | | 36 | 10 | | 37 | 8 | | 38 | 27 | | 39 | 5 | | 40 | 4 | | 41 | 30 | | 42 | 13 | | 43 | 13 | | 44 | 8 | | 45 | 6 | | 46 | 15 | | 47 | 9 | | 48 | 14 | | 49 | 3 |
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| 32.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.29906542056074764 | | totalSentences | 107 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 52 | | matches | | 0 | "I watched a single droplet" | | 1 | "My fingers tightened around the" | | 2 | "Her hair, once a chaotic" | | 3 | "She wore a cream silk" | | 4 | "She slid onto the stool" | | 5 | "She didn't ask if she" | | 6 | "She gestured vaguely at the" | | 7 | "Her eyes swept over the" | | 8 | "I stared into my gin." | | 9 | "She laughed, a light, melodic" | | 10 | "I thought of Evan." | | 11 | "I thought of the way" | | 12 | "I thought of the bruises" | | 13 | "she said, her voice dropping" | | 14 | "I felt the familiar heat" | | 15 | "My left wrist itched, the" | | 16 | "She reached for the menu," | | 17 | "It was a heavy, suffocating" | | 18 | "she asked suddenly" | | 19 | "She spat the name like" |
| | ratio | 0.673 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 52 | | matches | | 0 | "The condensation on the glass" | | 1 | "I watched a single droplet" | | 2 | "The voice cut through the" | | 3 | "My fingers tightened around the" | | 4 | "Eva looked like a polished" | | 5 | "Her hair, once a chaotic" | | 6 | "She wore a cream silk" | | 7 | "The girl who used to" | | 8 | "She slid onto the stool" | | 9 | "The leather groaned under her" | | 10 | "She didn't ask if she" | | 11 | "She gestured vaguely at the" | | 12 | "Her eyes swept over the" | | 13 | "I stared into my gin." | | 14 | "The light from the green" | | 15 | "She laughed, a light, melodic" | | 16 | "The smile didn't leave her" | | 17 | "The playful mask slipped, revealing" | | 18 | "I thought of Evan." | | 19 | "I thought of the way" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "The girl who used to share lukewarm chips with me on the steps of Cardiff University was gone, replaced by this woman who radiated the sterile scent of high-end…" | | 1 | "It was a heavy, suffocating atmosphere, the kind that clung to your clothes and stayed there." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice dropping an octave" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "She laughed (laugh)" | | 1 | "She spat (spit)" |
| | dialogueSentences | 58 | | tagDensity | 0.069 | | leniency | 0.138 | | rawRatio | 0.5 | | effectiveRatio | 0.069 | |