| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 2 | | adverbTags | | 0 | "Silas said quietly [quietly]" | | 1 | "Silas said quietly [quietly]" |
| | dialogueSentences | 58 | | tagDensity | 0.362 | | leniency | 0.724 | | rawRatio | 0.095 | | effectiveRatio | 0.069 | |
| 83.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1482 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slowly" | | 2 | "truly" | | 3 | "slightly" |
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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) | |
| 56.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1482 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "clandestine" | | 1 | "stomach" | | 2 | "weight" | | 3 | "silence" | | 4 | "glinting" | | 5 | "intensity" | | 6 | "warmth" | | 7 | "unspoken" | | 8 | "sanctuary" | | 9 | "vibrated" |
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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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1482 | | 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 | 49 | | wordCount | 1115 | | uniqueNames | 14 | | maxNameDensity | 1.88 | | worstName | "Silas" | | maxWindowNameDensity | 4 | | worstWindowName | "Silas" | | discoveredNames | | Silas | 21 | | Blackwood | 1 | | Carter | 3 | | Yu-Fei | 1 | | Cheung | 1 | | Golden | 2 | | Empress | 2 | | Brendan | 1 | | Cardiff | 2 | | Evan | 1 | | Prague | 1 | | Rory | 11 | | Soho | 1 | | Europe | 1 |
| | persons | | 0 | "Silas" | | 1 | "Blackwood" | | 2 | "Carter" | | 3 | "Yu-Fei" | | 4 | "Cheung" | | 5 | "Empress" | | 6 | "Brendan" | | 7 | "Evan" | | 8 | "Rory" |
| | places | | 0 | "Cardiff" | | 1 | "Prague" | | 2 | "Soho" | | 3 | "Europe" |
| | globalScore | 0.558 | | windowScore | 0.333 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like a man who had decided to wait" | | 1 | "seemed inevitable" | | 2 | "as if memorizing the anatomy of a woman he had not seen in years" | | 3 | "photographs that seemed to stare with silent judgment, past the old maps pinned to the walls with pins that might have held secrets instead of paper" |
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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 | 1482 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 20.03 | | std | 24.88 | | cv | 1.242 | | sampleLengths | | 0 | 122 | | 1 | 4 | | 2 | 91 | | 3 | 24 | | 4 | 75 | | 5 | 7 | | 6 | 4 | | 7 | 76 | | 8 | 48 | | 9 | 4 | | 10 | 3 | | 11 | 6 | | 12 | 5 | | 13 | 4 | | 14 | 5 | | 15 | 6 | | 16 | 53 | | 17 | 10 | | 18 | 23 | | 19 | 5 | | 20 | 7 | | 21 | 8 | | 22 | 4 | | 23 | 7 | | 24 | 8 | | 25 | 92 | | 26 | 14 | | 27 | 12 | | 28 | 43 | | 29 | 6 | | 30 | 11 | | 31 | 6 | | 32 | 4 | | 33 | 7 | | 34 | 2 | | 35 | 2 | | 36 | 48 | | 37 | 6 | | 38 | 10 | | 39 | 2 | | 40 | 3 | | 41 | 8 | | 42 | 30 | | 43 | 6 | | 44 | 9 | | 45 | 17 | | 46 | 4 | | 47 | 36 | | 48 | 5 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 187 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 113 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1127 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 35 | | adverbRatio | 0.031055900621118012 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.01064773735581189 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 13.12 | | std | 10.23 | | cv | 0.78 | | sampleLengths | | 0 | 17 | | 1 | 37 | | 2 | 22 | | 3 | 6 | | 4 | 40 | | 5 | 4 | | 6 | 32 | | 7 | 33 | | 8 | 26 | | 9 | 5 | | 10 | 19 | | 11 | 3 | | 12 | 13 | | 13 | 20 | | 14 | 19 | | 15 | 20 | | 16 | 7 | | 17 | 4 | | 18 | 16 | | 19 | 31 | | 20 | 29 | | 21 | 3 | | 22 | 20 | | 23 | 25 | | 24 | 4 | | 25 | 3 | | 26 | 6 | | 27 | 5 | | 28 | 4 | | 29 | 5 | | 30 | 6 | | 31 | 12 | | 32 | 41 | | 33 | 10 | | 34 | 14 | | 35 | 9 | | 36 | 5 | | 37 | 7 | | 38 | 8 | | 39 | 4 | | 40 | 7 | | 41 | 8 | | 42 | 29 | | 43 | 40 | | 44 | 23 | | 45 | 14 | | 46 | 12 | | 47 | 9 | | 48 | 34 | | 49 | 6 |
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| 34.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.22123893805309736 | | totalSentences | 113 | | uniqueOpeners | 25 | |
| 54.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 61 | | matches | | | ratio | 0.016 | |
| 36.39% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 61 | | matches | | 0 | "She wore the black jacket" | | 1 | "She had not planned to" | | 2 | "She had planned only to" | | 3 | "He sat at the corner" | | 4 | "He looked like a man" | | 5 | "He did not stand" | | 6 | "His silver signet ring caught" | | 7 | "She stepped inside." | | 8 | "She knew the rules of" | | 9 | "She pulled the delivery bag" | | 10 | "She sat, her left wrist" | | 11 | "She wore the uniform of" | | 12 | "His left leg, always with" | | 13 | "He poured no drink, but" | | 14 | "He poured a glass of" | | 15 | "She lifted the glass and" | | 16 | "Her thoughts flip-flopped between anger" | | 17 | "He studied her face with" | | 18 | "She set the glass down" | | 19 | "His hazel eyes held no" |
| | ratio | 0.459 | |
| 9.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 61 | | matches | | 0 | "The door swung inwards with" | | 1 | "Rory Carter froze in the" | | 2 | "She wore the black jacket" | | 3 | "She had not planned to" | | 4 | "She had planned only to" | | 5 | "He sat at the corner" | | 6 | "He looked like a man" | | 7 | "He did not stand" | | 8 | "His silver signet ring caught" | | 9 | "She stepped inside." | | 10 | "The smell of old maps," | | 11 | "The walls were covered with" | | 12 | "She knew the rules of" | | 13 | "She pulled the delivery bag" | | 14 | "She sat, her left wrist" | | 15 | "She wore the uniform of" | | 16 | "Silas leaned back." | | 17 | "His left leg, always with" | | 18 | "He poured no drink, but" | | 19 | "The tick-tock of a distant" |
| | ratio | 0.902 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 3.48% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 8 | | matches | | 0 | "Rory Carter froze in the doorway, her straight shoulder-length black hair plastered to her neck, her bright blue eyes catching the sickly green glow of the neon…" | | 1 | "He sat at the corner table in the open, his grey-streaked auburn hair and neatly trimmed beard catching the dim light, his hazel eyes holding a cold patience th…" | | 2 | "She wore the uniform of her new life, a life she had built after fleeing Cardiff and leaving Evan and abandoning the pre-law dreams that had once seemed inevita…" | | 3 | "Rory pulled her hair back with one hand, exposing her bright blue eyes to the dim light, and she wondered if he saw the exhaustion there, the fatigue of working…" | | 4 | "As he moved, she followed his path through the dim interior, past the black-and-white photographs that seemed to stare with silent judgment, past the old maps p…" | | 5 | "The bar smelled of copper, old paper, and the particular bitterness of the Golden Empress's leftover chilli oil that clung to her jacket." | | 6 | "He studied her face with the intensity of a man who had once tracked targets across Europe, and for a moment Rory felt the old fear return, the fear of being wa…" | | 7 | "The revelation tore through her, unearthing a regret she had buried under the noise of delivery cycles and the dull pain of living alone above a bar that had be…" |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 3 | | matches | | 0 | "Silas said, not asking" | | 1 | "Rory answered, her voice sharper than she intended" | | 2 | "Silas said, his voice low and steady" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 20 | | fancyCount | 2 | | fancyTags | | 0 | "he continued (continue)" | | 1 | "Rory repeated (repeat)" |
| | dialogueSentences | 58 | | tagDensity | 0.345 | | leniency | 0.69 | | rawRatio | 0.1 | | effectiveRatio | 0.069 | |