| 38.71% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 5 | | adverbTags | | 0 | "Silas said softly [softly]" | | 1 | "He gestured around [around]" | | 2 | "Silas asked again [again]" | | 3 | "she said slowly [slowly]" | | 4 | "Silas moved quickly [quickly]" |
| | dialogueSentences | 62 | | tagDensity | 0.403 | | leniency | 0.806 | | rawRatio | 0.2 | | effectiveRatio | 0.161 | |
| 75.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1645 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "very" | | 3 | "suddenly" | | 4 | "really" | | 5 | "slowly" | | 6 | "quickly" |
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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) | |
| 54.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1645 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | word | "practiced ease" | | count | 1 |
| | 12 | |
| | highlights | | 0 | "shattered" | | 1 | "dancing" | | 2 | "throbbed" | | 3 | "scanned" | | 4 | "charged" | | 5 | "weight" | | 6 | "tracing" | | 7 | "traced" | | 8 | "predator" | | 9 | "silence" | | 10 | "navigated" | | 11 | "practiced ease" | | 12 | "echoed" |
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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 | 0 | | narrationSentences | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 97 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 134 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1639 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1050 | | uniqueNames | 9 | | maxNameDensity | 1.81 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Silas" | | discoveredNames | | Rory | 13 | | Raven | 1 | | Nest | 1 | | London | 1 | | Tuesday | 1 | | Silas | 19 | | People | 1 | | Prague | 1 | | Europe | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "People" |
| | places | | 0 | "London" | | 1 | "Prague" | | 2 | "Europe" |
| | globalScore | 0.595 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 5 | | matches | | 0 | "not quite a smile" | | 1 | "felt like an assessment" | | 2 | "as if searching for the girl she used to be" | | 3 | "felt like a stranger now, someone she r" | | 4 | "felt like the only thing solid enough t" |
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| 77.97% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.22 | | wordCount | 1639 | | matches | | 0 | "Not blood, but the sharp, metallic tang of polished brass" | | 1 | "Not a knock, but a deliberate strike, testing the wood" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 28.26 | | std | 17.93 | | cv | 0.635 | | sampleLengths | | 0 | 61 | | 1 | 77 | | 2 | 44 | | 3 | 49 | | 4 | 17 | | 5 | 29 | | 6 | 19 | | 7 | 17 | | 8 | 56 | | 9 | 7 | | 10 | 2 | | 11 | 30 | | 12 | 18 | | 13 | 38 | | 14 | 17 | | 15 | 55 | | 16 | 29 | | 17 | 60 | | 18 | 4 | | 19 | 25 | | 20 | 6 | | 21 | 41 | | 22 | 31 | | 23 | 18 | | 24 | 38 | | 25 | 5 | | 26 | 62 | | 27 | 51 | | 28 | 35 | | 29 | 40 | | 30 | 22 | | 31 | 3 | | 32 | 51 | | 33 | 23 | | 34 | 37 | | 35 | 50 | | 36 | 36 | | 37 | 41 | | 38 | 11 | | 39 | 41 | | 40 | 19 | | 41 | 5 | | 42 | 41 | | 43 | 26 | | 44 | 2 | | 45 | 21 | | 46 | 44 | | 47 | 5 | | 48 | 31 | | 49 | 20 |
| |
| 98.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 97 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 193 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 134 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1055 | | adjectiveStacks | 1 | | stackExamples | | 0 | "straight black behind her" |
| | adverbCount | 33 | | adverbRatio | 0.031279620853080566 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.012322274881516588 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 134 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 134 | | mean | 12.23 | | std | 8.09 | | cv | 0.661 | | sampleLengths | | 0 | 25 | | 1 | 19 | | 2 | 17 | | 3 | 4 | | 4 | 22 | | 5 | 23 | | 6 | 28 | | 7 | 14 | | 8 | 13 | | 9 | 15 | | 10 | 1 | | 11 | 1 | | 12 | 17 | | 13 | 20 | | 14 | 12 | | 15 | 3 | | 16 | 14 | | 17 | 7 | | 18 | 12 | | 19 | 10 | | 20 | 4 | | 21 | 10 | | 22 | 5 | | 23 | 15 | | 24 | 2 | | 25 | 19 | | 26 | 21 | | 27 | 16 | | 28 | 7 | | 29 | 2 | | 30 | 4 | | 31 | 14 | | 32 | 9 | | 33 | 3 | | 34 | 7 | | 35 | 6 | | 36 | 5 | | 37 | 9 | | 38 | 9 | | 39 | 15 | | 40 | 5 | | 41 | 8 | | 42 | 9 | | 43 | 29 | | 44 | 20 | | 45 | 6 | | 46 | 16 | | 47 | 13 | | 48 | 38 | | 49 | 17 |
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| 60.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.41044776119402987 | | totalSentences | 134 | | uniqueOpeners | 55 | |
| 75.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 88 | | matches | | 0 | "Only he called her that" | | 1 | "Only he remembered the girl" |
| | ratio | 0.023 | |
| 83.64% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 88 | | matches | | 0 | "She didn't look back at" | | 1 | "She spun the lock with" | | 2 | "Her left wrist throbbed where" | | 3 | "She scanned the room, expecting" | | 4 | "His grey-streaked auburn beard was" | | 5 | "He didn't look up when" | | 6 | "His voice carried that quiet" | | 7 | "She walked to the bar," | | 8 | "She hopped onto the usual" | | 9 | "He poured the clear liquid" | | 10 | "It was the default greeting" | | 11 | "She took a sip" | | 12 | "He leaned against the back" | | 13 | "He studied her, his eyes" | | 14 | "He moved with a predator's" | | 15 | "She stood up, the stool" | | 16 | "She flinched at the use" | | 17 | "she warned, her voice low" | | 18 | "It was the wound that" | | 19 | "he said, his voice rougher" |
| | ratio | 0.341 | |
| 16.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 88 | | matches | | 0 | "The glass shattered against the" | | 1 | "She didn't look back at" | | 2 | "She spun the lock with" | | 3 | "Copper stung her nostrils." | | 4 | "The dim light caught the" | | 5 | "Rory smoothed her hair, tucking" | | 6 | "Her left wrist throbbed where" | | 7 | "She scanned the room, expecting" | | 8 | "Silas stood behind the bar," | | 9 | "His grey-streaked auburn beard was" | | 10 | "He didn't look up when" | | 11 | "His voice carried that quiet" | | 12 | "Rory lied, pushing off the" | | 13 | "She walked to the bar," | | 14 | "Silas finally looked up." | | 15 | "The corner of his mouth" | | 16 | "She hopped onto the usual" | | 17 | "Silas reached for the bottle," | | 18 | "He poured the clear liquid" | | 19 | "Rory said, lifting the glass" |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 6 | | matches | | 0 | "Not blood, but the sharp, metallic tang of polished brass and stale beer that clung to this place like a second skin." | | 1 | "The dim light caught the dust motes dancing above the bar, illuminating the rows of bottles that lined the shelves like silent soldiers." | | 2 | "Silas stood behind the bar, polishing a tumbler with a cloth that looked older than she was." | | 3 | "His voice carried that quiet authority that made grown men lower their voices instinctively." | | 4 | "The fabric of his shirt stretched over shoulders that had lost none of their breadth." | | 5 | "The Rory who wore cardigans to university lectures and believed justice was something you found in law books, not alleyways." |
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| 5.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 6 | | matches | | 0 | "She hopped, the leather creaking under her weight" | | 1 | "she warned, her voice low" | | 2 | "he said, his voice rougher now" | | 3 | "She met, refusing to back down" | | 4 | "Silas asked again, his voice quieter now" | | 5 | "She took, the memory making her hands shake" |
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| 85.48% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "Rory lied (lie)" | | 1 | "Silas corrected (correct)" | | 2 | "she warned (warn)" | | 3 | "Rory snapped (snap)" |
| | dialogueSentences | 62 | | tagDensity | 0.177 | | leniency | 0.355 | | rawRatio | 0.364 | | effectiveRatio | 0.129 | |