| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.217 | | leniency | 0.435 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1158 | | 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) | |
| 22.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1158 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "tracing" | | 1 | "rhythmic" | | 2 | "glinting" | | 3 | "crystalline" | | 4 | "marble" | | 5 | "calculating" | | 6 | "warmth" | | 7 | "magnetic" | | 8 | "sanctuary" | | 9 | "silence" | | 10 | "chilling" | | 11 | "weight" | | 12 | "unspoken" | | 13 | "resolve" | | 14 | "measured" | | 15 | "mechanical" | | 16 | "churn" |
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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 | 61 | | matches | (empty) | |
| 72.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | 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 | 1157 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 880 | | uniqueNames | 8 | | maxNameDensity | 1.48 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | London | 1 | | Eva | 12 | | Rory | 13 | | Cardiff | 1 | | Silas | 3 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 0.761 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "eyes that seemed to count her pulses, noting the scuff marks on her leather jacket, the faint bruise darkening along her temple" |
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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 | 1157 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 34.03 | | std | 24.71 | | cv | 0.726 | | sampleLengths | | 0 | 74 | | 1 | 84 | | 2 | 47 | | 3 | 42 | | 4 | 1 | | 5 | 86 | | 6 | 6 | | 7 | 37 | | 8 | 43 | | 9 | 6 | | 10 | 7 | | 11 | 55 | | 12 | 22 | | 13 | 35 | | 14 | 21 | | 15 | 13 | | 16 | 49 | | 17 | 41 | | 18 | 19 | | 19 | 82 | | 20 | 43 | | 21 | 10 | | 22 | 7 | | 23 | 37 | | 24 | 22 | | 25 | 8 | | 26 | 69 | | 27 | 5 | | 28 | 52 | | 29 | 12 | | 30 | 11 | | 31 | 47 | | 32 | 47 | | 33 | 17 |
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| 93.76% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 61 | | matches | | 0 | "was gone" | | 1 | "been carved" | | 2 | "been replaced" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 150 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 80 | | ratio | 0.013 | | matches | | 0 | "Every unspoken regret, every letter left unanswered, every night spent awake in a flat that smelled of damp and failure—it all coalesced in the space between their stools." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 792 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.022727272727272728 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005050505050505051 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 14.46 | | std | 7.87 | | cv | 0.544 | | sampleLengths | | 0 | 17 | | 1 | 14 | | 2 | 14 | | 3 | 29 | | 4 | 14 | | 5 | 22 | | 6 | 21 | | 7 | 27 | | 8 | 10 | | 9 | 11 | | 10 | 26 | | 11 | 11 | | 12 | 16 | | 13 | 15 | | 14 | 1 | | 15 | 10 | | 16 | 14 | | 17 | 4 | | 18 | 12 | | 19 | 29 | | 20 | 17 | | 21 | 6 | | 22 | 3 | | 23 | 8 | | 24 | 26 | | 25 | 20 | | 26 | 16 | | 27 | 7 | | 28 | 6 | | 29 | 7 | | 30 | 17 | | 31 | 14 | | 32 | 5 | | 33 | 19 | | 34 | 9 | | 35 | 13 | | 36 | 14 | | 37 | 21 | | 38 | 21 | | 39 | 13 | | 40 | 7 | | 41 | 16 | | 42 | 12 | | 43 | 14 | | 44 | 41 | | 45 | 19 | | 46 | 4 | | 47 | 7 | | 48 | 33 | | 49 | 10 |
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| 44.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.325 | | totalSentences | 80 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 60 | | matches | | 0 | "He moved with a subtle" | | 1 | "His silver signet ring caught" | | 2 | "He didn't look up when" | | 3 | "She shed her helmet, shaking" | | 4 | "It moved with an elegance" | | 5 | "Her heels made no sound" | | 6 | "She studied Rory with eyes" | | 7 | "She curled a hand around" | | 8 | "He recognized the friction, the" | | 9 | "He didn't offer a pleasantry." | | 10 | "He simply pulled back into" | | 11 | "She looked down at Rory's" | | 12 | "It wasn't intended for the" | | 13 | "She plucked a cigarette from" | | 14 | "She just rolled the white" | | 15 | "They were bright, hard, and" | | 16 | "She touched the edge of" | | 17 | "She downed the rest of" | | 18 | "She had come here to" | | 19 | "She peered toward the back" |
| | ratio | 0.4 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 60 | | matches | | 0 | "The green neon sign of" | | 1 | "Rain slicked the street, turning" | | 2 | "Rory adjusted the motorcycle jacket" | | 3 | "Silas stood behind the mahogany" | | 4 | "He moved with a subtle" | | 5 | "His silver signet ring caught" | | 6 | "He didn't look up when" | | 7 | "Rory approached the counter, the" | | 8 | "She shed her helmet, shaking" | | 9 | "The room felt smaller than" | | 10 | "A shadow detached itself from" | | 11 | "It moved with an elegance" | | 12 | "The woman stopped in the" | | 13 | "The voice carried the crystalline" | | 14 | "Rory froze mid-step, her hand" | | 15 | "The woman was Eva." | | 16 | "The girl Rory had left" | | 17 | "The vulnerability that once defined" | | 18 | "Eva stepped forward." | | 19 | "Her heels made no sound" |
| | ratio | 0.95 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 4 | | matches | | 0 | "Rory adjusted the motorcycle jacket across her shoulders, her fingers tracing the crescent scar on her left wrist, a nervous habit that sharpened whenever she p…" | | 1 | "The girl Rory had left behind in Cardiff was gone, buried under layers of sharp tailoring and a face that looked as though it had been carved from marble." | | 2 | "She studied Rory with eyes that seemed to count her pulses, noting the scuff marks on her leather jacket, the faint bruise darkening along her temple." | | 3 | "Every unspoken regret, every letter left unanswered, every night spent awake in a flat that smelled of damp and failure—it all coalesced in the space between th…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva said, her tone devoid of warmth" | | 1 | "Eva said, her voice dropping to a low, serrated edge" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 23 | | tagDensity | 0.174 | | leniency | 0.348 | | rawRatio | 0.25 | | effectiveRatio | 0.087 | |