| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 21 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0.25 | | effectiveRatio | 0.095 | |
| 93.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 820 | | totalAiIsmAdverbs | 1 | | 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) | |
| 57.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 820 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "eyebrow" | | 1 | "pulse" | | 2 | "charged" | | 3 | "could feel" | | 4 | "weight" | | 5 | "flicked" | | 6 | "stomach" |
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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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 4 | | totalWords | 815 | | ratio | 0.005 | | matches | | 0 | "You’re not leaving me." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 692 | | uniqueNames | 7 | | maxNameDensity | 1.3 | | worstName | "Evan" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Tuesday | 1 | | Cardiff | 1 | | Silas | 3 | | Rory | 8 | | Evan | 9 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Evan" |
| | places | | | globalScore | 0.85 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 815 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 84 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 22.03 | | std | 19.44 | | cv | 0.883 | | sampleLengths | | 0 | 74 | | 1 | 39 | | 2 | 18 | | 3 | 57 | | 4 | 3 | | 5 | 1 | | 6 | 52 | | 7 | 7 | | 8 | 3 | | 9 | 37 | | 10 | 2 | | 11 | 53 | | 12 | 1 | | 13 | 18 | | 14 | 8 | | 15 | 11 | | 16 | 48 | | 17 | 9 | | 18 | 18 | | 19 | 2 | | 20 | 4 | | 21 | 41 | | 22 | 10 | | 23 | 20 | | 24 | 7 | | 25 | 33 | | 26 | 11 | | 27 | 5 | | 28 | 39 | | 29 | 56 | | 30 | 30 | | 31 | 8 | | 32 | 34 | | 33 | 8 | | 34 | 8 | | 35 | 22 | | 36 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 124 | | matches | | 0 | "was sitting" | | 1 | "weren’t saying" | | 2 | "was fighting" | | 3 | "was considering" |
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| 6.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 84 | | ratio | 0.048 | | matches | | 0 | "Silas had a way of drawing people in—lost souls, old spies, drifters with stories too heavy to carry alone." | | 1 | "But no—it couldn’t be." | | 2 | "The way he said her name—like he’d been practicing it in the dark." | | 3 | "She didn’t need his protection—not anymore—but the weight of his presence steadied her." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 697 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.028694404591104734 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.00430416068866571 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 9.7 | | std | 7.5 | | cv | 0.773 | | sampleLengths | | 0 | 26 | | 1 | 23 | | 2 | 25 | | 3 | 8 | | 4 | 4 | | 5 | 8 | | 6 | 19 | | 7 | 18 | | 8 | 19 | | 9 | 14 | | 10 | 24 | | 11 | 3 | | 12 | 1 | | 13 | 4 | | 14 | 18 | | 15 | 5 | | 16 | 4 | | 17 | 21 | | 18 | 7 | | 19 | 3 | | 20 | 6 | | 21 | 5 | | 22 | 21 | | 23 | 4 | | 24 | 1 | | 25 | 2 | | 26 | 11 | | 27 | 22 | | 28 | 20 | | 29 | 1 | | 30 | 4 | | 31 | 1 | | 32 | 13 | | 33 | 2 | | 34 | 6 | | 35 | 8 | | 36 | 3 | | 37 | 11 | | 38 | 23 | | 39 | 8 | | 40 | 6 | | 41 | 5 | | 42 | 4 | | 43 | 16 | | 44 | 2 | | 45 | 2 | | 46 | 4 | | 47 | 8 | | 48 | 3 | | 49 | 17 |
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| 38.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.32142857142857145 | | totalSentences | 84 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 62 | | matches | | 0 | "Instead, his hands flexed at" | | 1 | "Then he met her eyes" |
| | ratio | 0.032 | |
| 52.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 62 | | matches | | 0 | "She hadn’t expected the night" | | 1 | "He was sitting in the" | | 2 | "His fingers tapped against the" | | 3 | "Her breath hitched." | | 4 | "Their eyes locked." | | 5 | "She should have turned away." | | 6 | "She should have ducked into" | | 7 | "His shoulders were broader, his" | | 8 | "He walked toward her, slow," | | 9 | "His voice was deeper." | | 10 | "*You’re not leaving me.* She’d" | | 11 | "She’d believed a lot of" | | 12 | "She forced herself to breathe." | | 13 | "He tilted his head, studying" | | 14 | "She could feel Silas watching" | | 15 | "She didn’t need his protection—not" | | 16 | "she said, lifting her chin" | | 17 | "He stepped closer, close enough" | | 18 | "Her voice cracked" | | 19 | "She cut herself off, shaking" |
| | ratio | 0.419 | |
| 24.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 62 | | matches | | 0 | "The Raven’s Nest hummed with" | | 1 | "Rory wiped her hands on" | | 2 | "The green neon sign outside" | | 3 | "She hadn’t expected the night" | | 4 | "Silas had a way of" | | 5 | "Rory slid the tray onto" | | 6 | "He was sitting in the" | | 7 | "The light caught the silver" | | 8 | "His fingers tapped against the" | | 9 | "Her breath hitched." | | 10 | "Evan was back in Cardiff," | | 11 | "Evan didn’t drink whiskey neat." | | 12 | "Evan didn’t sit still." | | 13 | "Evan didn’t have that scar" | | 14 | "The man in the booth" | | 15 | "Their eyes locked." | | 16 | "Rory’s pulse hammered in her" | | 17 | "She should have turned away." | | 18 | "She should have ducked into" | | 19 | "The years had carved lines" |
| | ratio | 0.871 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "He tilted his head, studying her like she was a puzzle he’d been trying to solve." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.095 | | leniency | 0.19 | | rawRatio | 0 | | effectiveRatio | 0 | |