| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rhian offered quietly [quietly]" |
| | dialogueSentences | 43 | | tagDensity | 0.233 | | leniency | 0.465 | | rawRatio | 0.1 | | effectiveRatio | 0.047 | |
| 89.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1422 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "lightly" | | 1 | "sharply" | | 2 | "truly" |
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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) | |
| 54.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1422 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "weight" | | 1 | "rhythmic" | | 2 | "tracing" | | 3 | "silk" | | 4 | "measured" | | 5 | "silence" | | 6 | "solitary" | | 7 | "mechanical" | | 8 | "resonance" |
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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 | 58 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1418 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 878 | | uniqueNames | 17 | | maxNameDensity | 1.82 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rhian" | | discoveredNames | | Dean | 1 | | Street | 2 | | Greek | 1 | | Soho | 2 | | Rory | 16 | | Jutland | 1 | | Cardiff | 1 | | Sunday | 1 | | Pontcanna | 1 | | Vaughan | 1 | | Edison | 1 | | Silas | 5 | | Gdynia | 1 | | Rhian | 15 | | London | 1 | | West | 1 | | End | 1 |
| | persons | | 0 | "Rory" | | 1 | "Vaughan" | | 2 | "Edison" | | 3 | "Silas" | | 4 | "Rhian" |
| | places | | 0 | "Dean" | | 1 | "Street" | | 2 | "Greek" | | 3 | "Soho" | | 4 | "Jutland" | | 5 | "Cardiff" | | 6 | "Pontcanna" | | 7 | "Gdynia" | | 8 | "London" | | 9 | "West" | | 10 | "End" |
| | globalScore | 0.589 | | windowScore | 0.333 | |
| 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 | 0 | | per1kWords | 0 | | wordCount | 1418 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 24.45 | | std | 19.7 | | cv | 0.806 | | sampleLengths | | 0 | 71 | | 1 | 66 | | 2 | 22 | | 3 | 46 | | 4 | 14 | | 5 | 25 | | 6 | 1 | | 7 | 24 | | 8 | 24 | | 9 | 1 | | 10 | 64 | | 11 | 5 | | 12 | 46 | | 13 | 19 | | 14 | 18 | | 15 | 40 | | 16 | 26 | | 17 | 26 | | 18 | 42 | | 19 | 26 | | 20 | 47 | | 21 | 31 | | 22 | 8 | | 23 | 3 | | 24 | 66 | | 25 | 3 | | 26 | 11 | | 27 | 41 | | 28 | 28 | | 29 | 4 | | 30 | 7 | | 31 | 16 | | 32 | 7 | | 33 | 17 | | 34 | 20 | | 35 | 89 | | 36 | 38 | | 37 | 20 | | 38 | 5 | | 39 | 12 | | 40 | 12 | | 41 | 8 | | 42 | 8 | | 43 | 20 | | 44 | 8 | | 45 | 33 | | 46 | 19 | | 47 | 44 | | 48 | 7 | | 49 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 134 | | matches | (empty) | |
| 17.27% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 91 | | ratio | 0.044 | | matches | | 0 | "The voice had Cardiff carved into the back of every syllable—unhurried, round at the vowels, smelling of wet slate and Sunday dinners in Pontcanna." | | 1 | "She had not changed her hair since second year—the same honeyed waves pinned back with tortoise-shell combs, the same neat line of pearl studs along the curve of her left ear." | | 2 | "The noise of Soho drifted outside—a black cab splashing through a deep gutter pool, a woman laughing sharply in the alleyway." | | 3 | "Rhian’s gaze swept over the cramped space—the scuffed floorboards, the delivery waterproofs draped over the brass rail near the door, the small, solitary life carved out beneath the roar of the West End." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 887 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.02593010146561443 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009019165727170236 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 15.58 | | std | 10.53 | | cv | 0.676 | | sampleLengths | | 0 | 24 | | 1 | 7 | | 2 | 26 | | 3 | 14 | | 4 | 20 | | 5 | 30 | | 6 | 16 | | 7 | 5 | | 8 | 17 | | 9 | 16 | | 10 | 10 | | 11 | 20 | | 12 | 6 | | 13 | 8 | | 14 | 18 | | 15 | 7 | | 16 | 1 | | 17 | 24 | | 18 | 6 | | 19 | 18 | | 20 | 1 | | 21 | 16 | | 22 | 31 | | 23 | 17 | | 24 | 5 | | 25 | 15 | | 26 | 31 | | 27 | 15 | | 28 | 4 | | 29 | 18 | | 30 | 19 | | 31 | 21 | | 32 | 20 | | 33 | 6 | | 34 | 26 | | 35 | 8 | | 36 | 9 | | 37 | 25 | | 38 | 26 | | 39 | 47 | | 40 | 6 | | 41 | 10 | | 42 | 15 | | 43 | 8 | | 44 | 3 | | 45 | 23 | | 46 | 43 | | 47 | 3 | | 48 | 11 | | 49 | 20 |
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| 57.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.38461538461538464 | | totalSentences | 91 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 56 | | matches | | 0 | "She wore a tailored camel" | | 1 | "Her knuckles went pale against" | | 2 | "She took a slow sip," | | 3 | "She had not changed her" | | 4 | "Her cheeks flushed pink from" | | 5 | "He placed a small cocktail" | | 6 | "She worked the leather strap" |
| | ratio | 0.125 | |
| 4.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 56 | | matches | | 0 | "The green neon glow of" | | 1 | "Silas shifted his weight behind" | | 2 | "The heavy silver signet ring" | | 3 | "Rory turned the neck of" | | 4 | "The damp from her delivery" | | 5 | "The front brass latch rattled." | | 6 | "A woman stood in the" | | 7 | "Rainwater flew off the ribbed" | | 8 | "She wore a tailored camel" | | 9 | "Rory looked down at her" | | 10 | "Her knuckles went pale against" | | 11 | "The wet boots clicked across" | | 12 | "A handbag zipper slid open," | | 13 | "The voice had Cardiff carved" | | 14 | "Rory did not turn around" | | 15 | "She took a slow sip," | | 16 | "Rhiannon Vaughan stepped into the" | | 17 | "She had not changed her" | | 18 | "Her cheeks flushed pink from" | | 19 | "Rhian dropped onto the stool" |
| | ratio | 0.911 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 1 | | matches | | 0 | "Silas drifted down the bar, his hazel eyes cataloging the silk scarf, the neat manicure, the posture that belonged in an appellate court rather than a drinking …" |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "Rhian offered quietly, her voice losing its brassy sheen" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.093 | | leniency | 0.186 | | rawRatio | 0 | | effectiveRatio | 0 | |