| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "She knelt again [again]" | | 1 | "She turned back [back]" |
| | dialogueSentences | 53 | | tagDensity | 0.34 | | leniency | 0.679 | | rawRatio | 0.111 | | effectiveRatio | 0.075 | |
| 95.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1220 | | totalAiIsmAdverbs | 1 | | 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) | |
| 50.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1220 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "measured" | | 1 | "pulsed" | | 2 | "weight" | | 3 | "tracing" | | 4 | "calculated" | | 5 | "echoed" | | 6 | "uncanny" | | 7 | "warmth" | | 8 | "pulse" | | 9 | "rhythmic" | | 10 | "silence" |
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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 | 91 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1219 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 743 | | uniqueNames | 5 | | maxNameDensity | 1.62 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Eva" | | discoveredNames | | Harlow | 1 | | Quinn | 12 | | Maddox | 11 | | Kowalski | 1 | | Eva | 12 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Maddox" | | 3 | "Kowalski" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.692 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1219 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 22.16 | | std | 15.5 | | cv | 0.699 | | sampleLengths | | 0 | 53 | | 1 | 35 | | 2 | 43 | | 3 | 3 | | 4 | 12 | | 5 | 9 | | 6 | 6 | | 7 | 13 | | 8 | 55 | | 9 | 7 | | 10 | 4 | | 11 | 8 | | 12 | 46 | | 13 | 15 | | 14 | 33 | | 15 | 17 | | 16 | 50 | | 17 | 7 | | 18 | 12 | | 19 | 49 | | 20 | 10 | | 21 | 44 | | 22 | 32 | | 23 | 5 | | 24 | 19 | | 25 | 12 | | 26 | 23 | | 27 | 52 | | 28 | 14 | | 29 | 18 | | 30 | 16 | | 31 | 17 | | 32 | 42 | | 33 | 19 | | 34 | 17 | | 35 | 21 | | 36 | 18 | | 37 | 15 | | 38 | 42 | | 39 | 11 | | 40 | 14 | | 41 | 49 | | 42 | 2 | | 43 | 36 | | 44 | 3 | | 45 | 32 | | 46 | 5 | | 47 | 14 | | 48 | 37 | | 49 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 134 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 126 | | ratio | 0.008 | | matches | | 0 | "The smell hit her first—copper and something else, something acrid that burned the back of her throat." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 749 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.0267022696929239 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006675567423230975 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 9.67 | | std | 7 | | cv | 0.723 | | sampleLengths | | 0 | 18 | | 1 | 17 | | 2 | 18 | | 3 | 12 | | 4 | 15 | | 5 | 8 | | 6 | 15 | | 7 | 22 | | 8 | 6 | | 9 | 3 | | 10 | 5 | | 11 | 7 | | 12 | 9 | | 13 | 3 | | 14 | 3 | | 15 | 10 | | 16 | 3 | | 17 | 17 | | 18 | 21 | | 19 | 17 | | 20 | 7 | | 21 | 4 | | 22 | 4 | | 23 | 4 | | 24 | 20 | | 25 | 7 | | 26 | 19 | | 27 | 4 | | 28 | 11 | | 29 | 29 | | 30 | 4 | | 31 | 17 | | 32 | 10 | | 33 | 11 | | 34 | 15 | | 35 | 14 | | 36 | 4 | | 37 | 3 | | 38 | 8 | | 39 | 4 | | 40 | 2 | | 41 | 47 | | 42 | 10 | | 43 | 28 | | 44 | 16 | | 45 | 8 | | 46 | 11 | | 47 | 3 | | 48 | 10 | | 49 | 1 |
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| 63.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.42063492063492064 | | totalSentences | 126 | | uniqueOpeners | 53 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 98.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 76 | | matches | | 0 | "She stepped over the threshold" | | 1 | "He looked up when she" | | 2 | "She crossed the space in" | | 3 | "He directed his beam toward" | | 4 | "He blinked at her." | | 5 | "She crouched, running her gloved" | | 6 | "She stood, brushing the grit" | | 7 | "she calculated the burn depth" | | 8 | "She knelt again, this time" | | 9 | "They curled in on themselves," | | 10 | "She touched it." | | 11 | "She stood, her knees popping" | | 12 | "She clutched her worn leather" | | 13 | "Her boots echoed against the" | | 14 | "She set her satchel down" | | 15 | "She flipped it open to" | | 16 | "She crouched again, this time" | | 17 | "She pressed her palm flat" | | 18 | "She looked up at Eva." | | 19 | "She held it flat in" |
| | ratio | 0.303 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 76 | | matches | | 0 | "The warehouse door groaned on" | | 1 | "The smell hit her first—copper" | | 2 | "She stepped over the threshold" | | 3 | "DS Maddox stood by the" | | 4 | "He looked up when she" | | 5 | "She crossed the space in" | | 6 | "The warehouse stretched fifty feet" | | 7 | "Dust motes swam in the" | | 8 | "Maddox's jaw tightened." | | 9 | "He directed his beam toward" | | 10 | "Quinn stopped breathing." | | 11 | "The circle was roughly eight" | | 12 | "The grooves were clean, precise," | | 13 | "Symbols she didn't recognise spiralled" | | 14 | "He blinked at her." | | 15 | "She crouched, running her gloved" | | 16 | "The concrete was warm to" | | 17 | "Maddox shifted his weight." | | 18 | "She stood, brushing the grit" | | 19 | "Quinn walked the perimeter, her" |
| | ratio | 0.921 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "The warehouse stretched fifty feet in each direction, empty save for the metal shelving units that lined the walls like skeletal ribs." | | 1 | "Eva knelt beside her, her fingers tracing the air above the symbols without touching them." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 3 | | matches | | 0 | "She knelt again, this time studying the symbols more closely" | | 1 | "She stood, her knees popping" | | 2 | "Eva said, her voice steady despite the circumstances" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | 0 | "Eva breathed (breathe)" |
| | dialogueSentences | 53 | | tagDensity | 0.208 | | leniency | 0.415 | | rawRatio | 0.091 | | effectiveRatio | 0.038 | |