| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 37 | | tagDensity | 0.054 | | leniency | 0.108 | | rawRatio | 0.5 | | effectiveRatio | 0.054 | |
| 86.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1093 | | 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) | |
| 45.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1093 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "electric" | | 2 | "navigated" | | 3 | "weight" | | 4 | "silence" | | 5 | "calculated" | | 6 | "furrowing" | | 7 | "glinting" | | 8 | "footsteps" | | 9 | "echoing" |
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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 | 53 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 53 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1093 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 689 | | uniqueNames | 9 | | maxNameDensity | 1.31 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Julian" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Savile | 1 | | Row | 1 | | Aurora | 7 | | Cardiff | 1 | | Balkans | 1 | | Silas | 9 | | Julian | 8 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Aurora" | | 3 | "Balkans" | | 4 | "Silas" | | 5 | "Julian" |
| | places | | | globalScore | 0.847 | | windowScore | 0.5 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a portrait of success, a far" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.915 | | wordCount | 1093 | | matches | | 0 | "not the partner at the firm, but the boy who had watched her crumble" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 17.92 | | std | 13.81 | | cv | 0.771 | | sampleLengths | | 0 | 67 | | 1 | 43 | | 2 | 9 | | 3 | 9 | | 4 | 35 | | 5 | 4 | | 6 | 13 | | 7 | 33 | | 8 | 41 | | 9 | 10 | | 10 | 1 | | 11 | 43 | | 12 | 1 | | 13 | 44 | | 14 | 18 | | 15 | 11 | | 16 | 28 | | 17 | 13 | | 18 | 4 | | 19 | 4 | | 20 | 29 | | 21 | 15 | | 22 | 14 | | 23 | 16 | | 24 | 29 | | 25 | 3 | | 26 | 6 | | 27 | 25 | | 28 | 13 | | 29 | 11 | | 30 | 14 | | 31 | 10 | | 32 | 4 | | 33 | 10 | | 34 | 14 | | 35 | 27 | | 36 | 13 | | 37 | 20 | | 38 | 10 | | 39 | 14 | | 40 | 7 | | 41 | 32 | | 42 | 21 | | 43 | 22 | | 44 | 14 | | 45 | 7 | | 46 | 15 | | 47 | 19 | | 48 | 9 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 53 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 111 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 89 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 609 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 21 | | adverbRatio | 0.034482758620689655 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.009852216748768473 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 12.28 | | std | 7.18 | | cv | 0.585 | | sampleLengths | | 0 | 23 | | 1 | 16 | | 2 | 28 | | 3 | 21 | | 4 | 22 | | 5 | 9 | | 6 | 9 | | 7 | 6 | | 8 | 5 | | 9 | 24 | | 10 | 4 | | 11 | 13 | | 12 | 9 | | 13 | 16 | | 14 | 8 | | 15 | 3 | | 16 | 24 | | 17 | 14 | | 18 | 2 | | 19 | 8 | | 20 | 1 | | 21 | 21 | | 22 | 22 | | 23 | 1 | | 24 | 9 | | 25 | 23 | | 26 | 12 | | 27 | 18 | | 28 | 11 | | 29 | 9 | | 30 | 19 | | 31 | 13 | | 32 | 4 | | 33 | 4 | | 34 | 10 | | 35 | 19 | | 36 | 15 | | 37 | 14 | | 38 | 16 | | 39 | 10 | | 40 | 12 | | 41 | 7 | | 42 | 3 | | 43 | 6 | | 44 | 25 | | 45 | 13 | | 46 | 11 | | 47 | 14 | | 48 | 10 | | 49 | 4 |
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| 50.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.33707865168539325 | | totalSentences | 89 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 58.46% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 52 | | matches | | 0 | "She navigated the narrow space" | | 1 | "He didn't look up, but" | | 2 | "She rubbed the small crescent-shaped" | | 3 | "He studied her with hazel" | | 4 | "He wore a tailored charcoal" | | 5 | "He stopped dead in the" | | 6 | "It was the sound of" | | 7 | "He looked like a portrait" | | 8 | "His eyes, once wide and" | | 9 | "He glanced around the bar," | | 10 | "He didn't move from behind" | | 11 | "He slid it across the" | | 12 | "She stared at the ring" | | 13 | "She didn't pick it up." | | 14 | "She looked at Julian, seeing" | | 15 | "He opened his mouth to" | | 16 | "She didn't wait." | | 17 | "She turned and headed toward" | | 18 | "He looked straight at Silas." | | 19 | "He slowly reached beneath the" |
| | ratio | 0.404 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 52 | | matches | | 0 | "Aurora slammed the heavy glass" | | 1 | "The scent of stale lager" | | 2 | "She navigated the narrow space" | | 3 | "Silas leaned against the polished" | | 4 | "He didn't look up, but" | | 5 | "Aurora slid onto a leather" | | 6 | "The material creaked under her." | | 7 | "She rubbed the small crescent-shaped" | | 8 | "Silas set the glass down" | | 9 | "He studied her with hazel" | | 10 | "A man entered." | | 11 | "He wore a tailored charcoal" | | 12 | "He stopped dead in the" | | 13 | "The air in her lungs" | | 14 | "The voice was deeper, smoothed" | | 15 | "It was the sound of" | | 16 | "The man stepped forward, his" | | 17 | "He looked like a portrait" | | 18 | "His eyes, once wide and" | | 19 | "Julian smiled, but the expression" |
| | ratio | 0.942 | |
| 96.15% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 52 | | matches | | 0 | "Before he could respond, the" |
| | ratio | 0.019 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 2 | | matches | | 0 | "She rubbed the small crescent-shaped scar on her left wrist, a subconscious tic that surfaced whenever the silence in the bar grew too heavy." | | 1 | "He wore a tailored charcoal wool overcoat that screamed Savile Row, and his leather shoes clicked with a precise, arrogant rhythm against the floorboards." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "the man barked, his voice a guttural snarl" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 37 | | tagDensity | 0.027 | | leniency | 0.054 | | rawRatio | 1 | | effectiveRatio | 0.054 | |