| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "He turned back [back]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 41 | | tagDensity | 0.341 | | leniency | 0.683 | | rawRatio | 0.143 | | effectiveRatio | 0.098 | |
| 92.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1423 | | totalAiIsmAdverbs | 2 | | 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) | |
| 43.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1423 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "stark" | | 3 | "flicker" | | 4 | "tangible" | | 5 | "glinting" | | 6 | "potential" | | 7 | "echoed" | | 8 | "tracing" | | 9 | "predator" | | 10 | "silence" | | 11 | "fleeting" | | 12 | "crystal" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 95 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 95 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 8 | | totalWords | 1414 | | ratio | 0.006 | | matches | | 0 | "Waste" | | 1 | "Ungrateful. Hysterical. A waste of my time." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1007 | | uniqueNames | 14 | | maxNameDensity | 0.6 | | worstName | "Silas" | | maxWindowNameDensity | 1 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Scotch | 2 | | Yu-Fei | 1 | | London | 2 | | Cardiff | 2 | | Silas | 6 | | Charles | 1 | | Bridge | 1 | | Prague | 1 | | Eva | 1 | | Evan | 3 | | Aurora | 3 |
| | persons | | 0 | "Scotch" | | 1 | "Silas" | | 2 | "Eva" | | 3 | "Evan" | | 4 | "Aurora" |
| | places | | 0 | "Raven" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Charles" | | 4 | "Bridge" | | 5 | "Prague" |
| | globalScore | 1 | | windowScore | 1 | |
| 81.51% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a second skin" | | 1 | "as if correcting a minor factual error" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.707 | | wordCount | 1414 | | matches | | 0 | "not as a regret, but as a fact" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 120 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 30.74 | | std | 19.64 | | cv | 0.639 | | sampleLengths | | 0 | 60 | | 1 | 8 | | 2 | 15 | | 3 | 52 | | 4 | 22 | | 5 | 63 | | 6 | 45 | | 7 | 3 | | 8 | 29 | | 9 | 8 | | 10 | 32 | | 11 | 40 | | 12 | 4 | | 13 | 69 | | 14 | 4 | | 15 | 21 | | 16 | 12 | | 17 | 42 | | 18 | 30 | | 19 | 67 | | 20 | 2 | | 21 | 31 | | 22 | 30 | | 23 | 38 | | 24 | 30 | | 25 | 26 | | 26 | 63 | | 27 | 8 | | 28 | 21 | | 29 | 22 | | 30 | 22 | | 31 | 29 | | 32 | 6 | | 33 | 52 | | 34 | 54 | | 35 | 60 | | 36 | 21 | | 37 | 44 | | 38 | 48 | | 39 | 30 | | 40 | 2 | | 41 | 17 | | 42 | 24 | | 43 | 30 | | 44 | 64 | | 45 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 155 | | matches | | 0 | "was polishing" | | 1 | "was leaving" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 120 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1016 | | adjectiveStacks | 1 | | stackExamples | | 0 | "cross-examining moot court" |
| | adverbCount | 33 | | adverbRatio | 0.03248031496062992 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.012795275590551181 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 11.78 | | std | 7.99 | | cv | 0.678 | | sampleLengths | | 0 | 14 | | 1 | 24 | | 2 | 7 | | 3 | 15 | | 4 | 6 | | 5 | 2 | | 6 | 8 | | 7 | 7 | | 8 | 15 | | 9 | 4 | | 10 | 18 | | 11 | 15 | | 12 | 22 | | 13 | 18 | | 14 | 25 | | 15 | 19 | | 16 | 1 | | 17 | 13 | | 18 | 14 | | 19 | 18 | | 20 | 3 | | 21 | 11 | | 22 | 6 | | 23 | 12 | | 24 | 8 | | 25 | 13 | | 26 | 12 | | 27 | 7 | | 28 | 7 | | 29 | 26 | | 30 | 7 | | 31 | 4 | | 32 | 3 | | 33 | 12 | | 34 | 32 | | 35 | 22 | | 36 | 4 | | 37 | 8 | | 38 | 13 | | 39 | 12 | | 40 | 16 | | 41 | 26 | | 42 | 20 | | 43 | 10 | | 44 | 10 | | 45 | 51 | | 46 | 6 | | 47 | 2 | | 48 | 16 | | 49 | 15 |
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| 42.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3333333333333333 | | totalSentences | 120 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 55 | | totalSentences | 90 | | matches | | 0 | "It was a Tuesday, slow" | | 1 | "She slid onto her usual" | | 2 | "He set the glass down" | | 3 | "He poured two fingers of" | | 4 | "It was their ritual." | | 5 | "She’d just finished her last" | | 6 | "He’d filled out, the lanky" | | 7 | "His face was harder, the" | | 8 | "His gaze swept the room," | | 9 | "He walked over, the click" | | 10 | "Her fingers tightened around the" | | 11 | "Her voice was steadier than" | | 12 | "He gestured to the stool" | | 13 | "He shrugged off his coat," | | 14 | "He signaled Silas with a" | | 15 | "He turned back to her," | | 16 | "His drink arrived." | | 17 | "He swirled the amber liquid," | | 18 | "He finally looked at her" | | 19 | "He chuckled, a dry, humorless" |
| | ratio | 0.611 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 90 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "Aurora pushed open the heavy" | | 2 | "It was a Tuesday, slow" | | 3 | "Silas was polishing a glass" | | 4 | "She slid onto her usual" | | 5 | "He set the glass down" | | 6 | "He poured two fingers of" | | 7 | "It was their ritual." | | 8 | "She’d just finished her last" | | 9 | "The first sip was fire" | | 10 | "The door creaked open again," | | 11 | "He’d filled out, the lanky" | | 12 | "The expensive cut of his" | | 13 | "His face was harder, the" | | 14 | "His gaze swept the room," | | 15 | "A flicker of surprise, then" | | 16 | "He walked over, the click" | | 17 | "Aurora felt the stool beneath" | | 18 | "Her fingers tightened around the" | | 19 | "Silas had stopped polishing, his" |
| | ratio | 0.978 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 1 | | matches | | 0 | "The one who’d held her hand during her mother’s illness, who’d quizzed her for exams until dawn." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 5 | | matches | | 0 | "he pressed, his gaze sharpening" | | 1 | "He shook, a parody of regret" | | 2 | "He said, as if correcting a minor factual error" | | 3 | "he said, his voice lower now, losing some of its polished edge" | | 4 | "she said, her voice flat" |
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| 76.83% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "He chuckled (chuckle)" | | 1 | "he pressed (press)" | | 2 | "he murmured (murmur)" |
| | dialogueSentences | 41 | | tagDensity | 0.171 | | leniency | 0.341 | | rawRatio | 0.429 | | effectiveRatio | 0.146 | |