| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 31 | | adverbTagCount | 4 | | adverbTags | | 0 | "Eva gestured vaguely [vaguely]" | | 1 | "she said finally [finally]" | | 2 | "Eva's fingers tightened around [around]" | | 3 | "Eva said again [again]" |
| | dialogueSentences | 89 | | tagDensity | 0.348 | | leniency | 0.697 | | rawRatio | 0.129 | | effectiveRatio | 0.09 | |
| 89.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1476 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "slowly" |
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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) | |
| 93.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1476 | | totalAiIsms | 2 | | 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 | 0 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 139 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1464 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 800 | | uniqueNames | 13 | | maxNameDensity | 2.63 | | worstName | "Eva" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Silas | 8 | | Aurora | 2 | | Marsh | 1 | | Cardiff | 2 | | Eva | 21 | | Rory | 14 | | Queen | 1 | | Street | 1 | | Shiraz | 1 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Aurora" | | 3 | "Eva" | | 4 | "Rory" | | 5 | "Queen" |
| | places | | 0 | "Marsh" | | 1 | "Cardiff" | | 2 | "Street" | | 3 | "Shiraz" | | 4 | "London" |
| | globalScore | 0.188 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | 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 | 1464 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 139 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 83 | | mean | 17.64 | | std | 17.05 | | cv | 0.967 | | sampleLengths | | 0 | 68 | | 1 | 1 | | 2 | 33 | | 3 | 64 | | 4 | 11 | | 5 | 22 | | 6 | 7 | | 7 | 29 | | 8 | 3 | | 9 | 33 | | 10 | 47 | | 11 | 5 | | 12 | 32 | | 13 | 41 | | 14 | 5 | | 15 | 2 | | 16 | 20 | | 17 | 22 | | 18 | 10 | | 19 | 5 | | 20 | 3 | | 21 | 16 | | 22 | 11 | | 23 | 3 | | 24 | 63 | | 25 | 5 | | 26 | 6 | | 27 | 2 | | 28 | 11 | | 29 | 36 | | 30 | 4 | | 31 | 33 | | 32 | 2 | | 33 | 9 | | 34 | 26 | | 35 | 10 | | 36 | 2 | | 37 | 31 | | 38 | 10 | | 39 | 2 | | 40 | 30 | | 41 | 2 | | 42 | 37 | | 43 | 2 | | 44 | 57 | | 45 | 28 | | 46 | 3 | | 47 | 36 | | 48 | 2 | | 49 | 62 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 14.81% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 144 | | matches | | 0 | "were trying" | | 1 | "was trying" | | 2 | "was wearing" | | 3 | "were shaking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 139 | | ratio | 0.065 | | matches | | 0 | "The Raven's Nest wasn't busy on a Tuesday—Silas called it his \"recollection nights,\" when the regulars drifted in to nurse single malts and talk about things that didn't matter." | | 1 | "She'd cut her hair—short now, asymmetric, dyed a shade of copper that Cardiff Aurora would've called trying too hard." | | 2 | "\"I moved. Six months ago.\" Eva's gaze swept the room—the maps, the low ceiling, the worn leather stools." | | 3 | "She'd imagined this—running into someone from before—but somehow she'd always pictured it in Cardiff, in the coffee shop on Queen Street, somewhere with pavement and sky." | | 4 | "Rory poured from a bottle behind the counter—the cheap stuff, the house Shiraz that Silas stocked for customers who didn't know better." | | 5 | "Eva laughed—a real one this time, surprised out of her." | | 6 | "Somewhere in the back, a door creaked—Silas moving through the hidden room, doing whatever it was he did with his \"contacts.\" The old man in the corner asked for another gin." | | 7 | "Her hands were shaking—a fine tremor, the kind that came after the fact, when the danger had passed and the body finally remembered to be afraid." | | 8 | "Outside, the London night swallowed everything—the street, the neon sign, the steps leading down to the tube." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 810 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.027160493827160494 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007407407407407408 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 139 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 139 | | mean | 10.53 | | std | 9.05 | | cv | 0.859 | | sampleLengths | | 0 | 25 | | 1 | 14 | | 2 | 29 | | 3 | 1 | | 4 | 4 | | 5 | 21 | | 6 | 8 | | 7 | 25 | | 8 | 19 | | 9 | 6 | | 10 | 14 | | 11 | 10 | | 12 | 1 | | 13 | 16 | | 14 | 6 | | 15 | 7 | | 16 | 18 | | 17 | 11 | | 18 | 3 | | 19 | 9 | | 20 | 24 | | 21 | 5 | | 22 | 26 | | 23 | 16 | | 24 | 5 | | 25 | 27 | | 26 | 5 | | 27 | 22 | | 28 | 19 | | 29 | 5 | | 30 | 2 | | 31 | 9 | | 32 | 11 | | 33 | 5 | | 34 | 10 | | 35 | 7 | | 36 | 5 | | 37 | 5 | | 38 | 5 | | 39 | 3 | | 40 | 5 | | 41 | 11 | | 42 | 5 | | 43 | 6 | | 44 | 3 | | 45 | 13 | | 46 | 13 | | 47 | 37 | | 48 | 5 | | 49 | 6 |
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| 51.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.381294964028777 | | totalSentences | 139 | | uniqueOpeners | 53 | |
| 91.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 73 | | matches | | 0 | "Somewhere in the back, a" | | 1 | "Still half full." |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 73 | | matches | | 0 | "She knew it before she" | | 1 | "She'd cut her hair—short now," | | 2 | "She'd imagined this—running into someone" | | 3 | "She poured it into a" | | 4 | "she said finally" | | 5 | "She took another sip" | | 6 | "She watched the light shift" | | 7 | "She stood, pulled her coat" | | 8 | "Her hands were shaking—a fine" | | 9 | "He emerged slowly, his limp" | | 10 | "His silver signet ring caught" | | 11 | "He poured two fingers of" | | 12 | "She picked up Eva's glass." | | 13 | "He nodded, said nothing." |
| | ratio | 0.192 | |
| 28.49% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 73 | | matches | | 0 | "The glass caught the low" | | 1 | "Rory finished polishing it, set" | | 2 | "The Raven's Nest wasn't busy" | | 3 | "The voice stopped her." | | 4 | "She knew it before she" | | 5 | "Nobody called her Aurora except" | | 6 | "Eva Marsh stood in the" | | 7 | "She'd cut her hair—short now," | | 8 | "That pale green, the exact" | | 9 | "The word came out before" | | 10 | "Eva stepped inside, let the" | | 11 | "Eva's gaze swept the room—the" | | 12 | "A laugh that didn't reach" | | 13 | "Rory set down the glass." | | 14 | "She'd imagined this—running into someone" | | 15 | "Eva slid onto a stool," | | 16 | "Rory poured from a bottle" | | 17 | "She poured it into a" | | 18 | "Eva gestured vaguely" | | 19 | "Rory leaned against the bar." |
| | ratio | 0.863 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory poured from a bottle behind the counter—the cheap stuff, the house Shiraz that Silas stocked for customers who didn't know better." | | 1 | "Her hands were shaking—a fine tremor, the kind that came after the fact, when the danger had passed and the body finally remembered to be afraid." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 31 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 89 | | tagDensity | 0.124 | | leniency | 0.247 | | rawRatio | 0.091 | | effectiveRatio | 0.022 | |