| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 57 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1639 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 81.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1639 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "glistening" | | 1 | "weight" | | 2 | "silence" | | 3 | "familiar" | | 4 | "unsettled" | | 5 | "charm" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
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| | highlights | | 0 | "blood went cold" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 119 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 119 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 157 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | 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 | 26 | | unquotedAttributions | 1 | | matches | | 0 | "Below us, Silas shouted something in Portuguese at a supplier who shouted back in Polish." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 1196 | | uniqueNames | 8 | | maxNameDensity | 0.33 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Heat | 1 | | Lucien | 4 | | Evan | 2 | | Silas | 1 | | Portuguese | 1 | | Polish | 1 | | London | 1 | | Three | 3 |
| | persons | | 0 | "Heat" | | 1 | "Lucien" | | 2 | "Evan" | | 3 | "Silas" |
| | places | | 0 | "Portuguese" | | 1 | "Polish" | | 2 | "London" | | 3 | "Three" |
| | globalScore | 1 | | windowScore | 1 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like commitment to staying, and I" | | 1 | "felt like to be the thing someone else" | | 2 | "quite a laugh" |
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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 | 1639 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 157 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 21.85 | | std | 22.64 | | cv | 1.036 | | sampleLengths | | 0 | 8 | | 1 | 58 | | 2 | 13 | | 3 | 2 | | 4 | 54 | | 5 | 5 | | 6 | 8 | | 7 | 7 | | 8 | 7 | | 9 | 46 | | 10 | 4 | | 11 | 36 | | 12 | 40 | | 13 | 10 | | 14 | 71 | | 15 | 6 | | 16 | 71 | | 17 | 9 | | 18 | 2 | | 19 | 4 | | 20 | 5 | | 21 | 43 | | 22 | 48 | | 23 | 10 | | 24 | 3 | | 25 | 8 | | 26 | 75 | | 27 | 14 | | 28 | 9 | | 29 | 2 | | 30 | 3 | | 31 | 2 | | 32 | 2 | | 33 | 80 | | 34 | 12 | | 35 | 5 | | 36 | 8 | | 37 | 10 | | 38 | 5 | | 39 | 55 | | 40 | 30 | | 41 | 6 | | 42 | 9 | | 43 | 63 | | 44 | 20 | | 45 | 13 | | 46 | 44 | | 47 | 53 | | 48 | 52 | | 49 | 10 |
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| 96.42% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 119 | | matches | | 0 | "was torn" | | 1 | "been relieved" | | 2 | "been hunted" |
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| 80.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 224 | | matches | | 0 | "was darkening" | | 1 | "wasn't touching" | | 2 | "was hiding" | | 3 | "were waiting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 157 | | ratio | 0 | | matches | (empty) | |
| 89.91% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 524 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.05152671755725191 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.011450381679389313 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 157 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 157 | | mean | 10.44 | | std | 9.45 | | cv | 0.905 | | sampleLengths | | 0 | 8 | | 1 | 11 | | 2 | 21 | | 3 | 2 | | 4 | 4 | | 5 | 20 | | 6 | 6 | | 7 | 7 | | 8 | 2 | | 9 | 9 | | 10 | 18 | | 11 | 27 | | 12 | 5 | | 13 | 2 | | 14 | 6 | | 15 | 7 | | 16 | 7 | | 17 | 11 | | 18 | 19 | | 19 | 10 | | 20 | 6 | | 21 | 4 | | 22 | 20 | | 23 | 16 | | 24 | 5 | | 25 | 35 | | 26 | 4 | | 27 | 6 | | 28 | 4 | | 29 | 26 | | 30 | 8 | | 31 | 4 | | 32 | 6 | | 33 | 23 | | 34 | 6 | | 35 | 3 | | 36 | 5 | | 37 | 30 | | 38 | 5 | | 39 | 6 | | 40 | 22 | | 41 | 8 | | 42 | 1 | | 43 | 2 | | 44 | 4 | | 45 | 5 | | 46 | 4 | | 47 | 39 | | 48 | 5 | | 49 | 32 |
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| 32.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 27 | | diversityRatio | 0.27388535031847133 | | totalSentences | 157 | | uniqueOpeners | 43 | |
| 68.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 98 | | matches | | 0 | "Too dark for blood." | | 1 | "Somewhere below, the bar door" |
| | ratio | 0.02 | |
| 36.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 98 | | matches | | 0 | "His charcoal suit was torn" | | 1 | "His amber eye found mine" | | 2 | "I gripped the door handle" | | 3 | "He'd stopped using it three" | | 4 | "He shifted his weight and" | | 5 | "I saw it, the way" | | 6 | "He tilted his head, that" | | 7 | "I stepped back anyway, because" | | 8 | "He limped past me." | | 9 | "I didn't look." | | 10 | "I knew what he meant." | | 11 | "I hadn't thrown it out." | | 12 | "I should have thrown it" | | 13 | "I'd picked it up a" | | 14 | "I hadn't been offering." | | 15 | "I filled the kettle anyway," | | 16 | "My fingers remembered the night" | | 17 | "His hands had been careful." | | 18 | "His eyes had been anything" | | 19 | "I said, without turning" |
| | ratio | 0.459 | |
| 16.12% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 98 | | matches | | 0 | "The door opened before I" | | 1 | "Lucien stood in the hallway," | | 2 | "His charcoal suit was torn" | | 3 | "His amber eye found mine" | | 4 | "I gripped the door handle" | | 5 | "The metal bit cold into" | | 6 | "The nickname hit like a" | | 7 | "He'd stopped using it three" | | 8 | "The night he'd walked out" | | 9 | "The expression didn't touch his" | | 10 | "He shifted his weight and" | | 11 | "I saw it, the way" | | 12 | "The ivory handle gleamed dully" | | 13 | "He tilted his head, that" | | 14 | "Heat crept up my neck." | | 15 | "I stepped back anyway, because" | | 16 | "He limped past me." | | 17 | "The flat smelled of fried" | | 18 | "Lucien's gaze swept the room" | | 19 | "The narrow galley kitchen." |
| | ratio | 0.888 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 98 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 2 | | matches | | 0 | "The sound caught in his throat, turned into something closer to a cough, and he lowered himself into the armchair with the kind of controlled grace that told me…" | | 1 | "I should have remembered the way he'd looked at me the night I'd pushed him away, as though I'd confirmed something he'd always suspected about himself." |
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| 72.37% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 2 | | matches | | 0 | "I said, without turning" | | 1 | "I said, without looking at him" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 57 | | tagDensity | 0.246 | | leniency | 0.491 | | rawRatio | 0.071 | | effectiveRatio | 0.035 | |