| 26.09% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 23 | | tagDensity | 0.478 | | leniency | 0.957 | | rawRatio | 0.182 | | effectiveRatio | 0.174 | |
| 95.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1059 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "barely above a whisper" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1059 | | totalAiIsms | 25 | | found | | | highlights | | 0 | "pulsed" | | 1 | "stomach" | | 2 | "familiar" | | 3 | "weight" | | 4 | "beacon" | | 5 | "reminder" | | 6 | "measured" | | 7 | "unspoken" | | 8 | "silence" | | 9 | "whisper" | | 10 | "tracing" | | 11 | "unreadable" |
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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 | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 84 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1048 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 938 | | uniqueNames | 12 | | maxNameDensity | 1.39 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Golden | 1 | | Empress | 1 | | London | 1 | | Blackwood | 1 | | Silas | 13 | | Cardiff | 1 | | Eva | 1 | | Evan | 1 | | Aurora | 11 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Blackwood" | | 3 | "Silas" | | 4 | "Eva" | | 5 | "Evan" | | 6 | "Aurora" |
| | places | | | globalScore | 0.807 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | 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 | 1048 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 96 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 29.94 | | std | 26.18 | | cv | 0.874 | | sampleLengths | | 0 | 110 | | 1 | 4 | | 2 | 90 | | 3 | 14 | | 4 | 38 | | 5 | 14 | | 6 | 9 | | 7 | 84 | | 8 | 14 | | 9 | 8 | | 10 | 64 | | 11 | 14 | | 12 | 33 | | 13 | 58 | | 14 | 16 | | 15 | 13 | | 16 | 21 | | 17 | 13 | | 18 | 5 | | 19 | 49 | | 20 | 4 | | 21 | 18 | | 22 | 10 | | 23 | 22 | | 24 | 7 | | 25 | 41 | | 26 | 13 | | 27 | 18 | | 28 | 18 | | 29 | 26 | | 30 | 7 | | 31 | 48 | | 32 | 59 | | 33 | 47 | | 34 | 39 |
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| 92.73% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 84 | | matches | | 0 | "was lined" | | 1 | "were squared" | | 2 | "was meant" |
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| 38.38% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 165 | | matches | | 0 | "was coming" | | 1 | "was leaving" | | 2 | "wasn’t running" | | 3 | "was walking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 96 | | ratio | 0.052 | | matches | | 0 | "He turned then, and his face—once sharp and precise—was lined with something deeper, with years of quiet weariness." | | 1 | "The scar on her wrist—small, crescent-shaped—pulsed faintly with her heartbeat." | | 2 | "She’d changed too—from the sharp, restless girl who’d fled Cardiff to the one who now worked in a delivery van, her days stretched thin between food and the bar above." | | 3 | "But seeing him like this—older, more tired—made her chest tighten." | | 4 | "It was an address, a name—something she’d written down years ago, before everything had changed." |
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| 87.45% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 358 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped-pulsed" |
| | adverbCount | 17 | | adverbRatio | 0.04748603351955307 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.008379888268156424 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 10.92 | | std | 7.69 | | cv | 0.705 | | sampleLengths | | 0 | 20 | | 1 | 15 | | 2 | 40 | | 3 | 18 | | 4 | 17 | | 5 | 4 | | 6 | 26 | | 7 | 20 | | 8 | 26 | | 9 | 18 | | 10 | 12 | | 11 | 2 | | 12 | 3 | | 13 | 10 | | 14 | 25 | | 15 | 14 | | 16 | 6 | | 17 | 3 | | 18 | 9 | | 19 | 30 | | 20 | 31 | | 21 | 14 | | 22 | 9 | | 23 | 5 | | 24 | 4 | | 25 | 4 | | 26 | 6 | | 27 | 20 | | 28 | 14 | | 29 | 13 | | 30 | 11 | | 31 | 14 | | 32 | 5 | | 33 | 17 | | 34 | 6 | | 35 | 5 | | 36 | 3 | | 37 | 4 | | 38 | 21 | | 39 | 10 | | 40 | 20 | | 41 | 16 | | 42 | 12 | | 43 | 1 | | 44 | 5 | | 45 | 3 | | 46 | 4 | | 47 | 9 | | 48 | 13 | | 49 | 2 |
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| 40.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.20833333333333334 | | totalSentences | 96 | | uniqueOpeners | 20 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | | ratio | 0.012 | |
| 17.53% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 81 | | matches | | 0 | "She’d been working late again," | | 1 | "He didn’t look up at" | | 2 | "His limp was still there," | | 3 | "He turned then, and his" | | 4 | "he said, his voice rougher" | | 5 | "She didn’t move." | | 6 | "She’d forgotten how it felt" | | 7 | "she said, her fingers tightening" | | 8 | "She’d changed too—from the sharp," | | 9 | "She’d moved in after Eva" | | 10 | "He poured two fingers into" | | 11 | "She took it, the amber" | | 12 | "It burned, sharp and clean," | | 13 | "she asked, her voice barely" | | 14 | "He set his glass down" | | 15 | "he said finally" | | 16 | "She’d known he’d changed." | | 17 | "She’d known he’d retired, that" | | 18 | "She’d been the one to" | | 19 | "she asked, her fingers tracing" |
| | ratio | 0.506 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 81 | | matches | | 0 | "The neon glow of the" | | 1 | "Aurora Carter wiped her hands" | | 2 | "The Golden Empress delivery van" | | 3 | "The bar was nearly empty" | | 4 | "She’d been working late again," | | 5 | "Silas Blackwood stood at the" | | 6 | "He didn’t look up at" | | 7 | "His limp was still there," | | 8 | "He turned then, and his" | | 9 | "he said, his voice rougher" | | 10 | "She didn’t move." | | 11 | "The scar on her wrist—small," | | 12 | "She’d forgotten how it felt" | | 13 | "she said, her fingers tightening" | | 14 | "Silas exhaled, a slow, measured" | | 15 | "The words hung between them," | | 16 | "She’d changed too—from the sharp," | | 17 | "The flat above" | | 18 | "She’d moved in after Eva" | | 19 | "Silas said, his voice low" |
| | ratio | 0.951 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 2 | | matches | | 0 | "The Golden Empress delivery van had delivered another rush of takeout, and she stood there, breathing in the sharp scent of garlic and chili, the kind of smell …" | | 1 | "She’d changed too—from the sharp, restless girl who’d fled Cardiff to the one who now worked in a delivery van, her days stretched thin between food and the bar…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 7 | | matches | | 0 | "he said, his voice rougher than she remembered, like gravel underfoot" | | 1 | "she said, her fingers tightening around the edge of the bar" | | 2 | "Silas said, his voice low" | | 3 | "she asked, her voice barely above a whisper" | | 4 | "she asked, her fingers tracing the rim of her glass" | | 5 | "Silas asked, his voice breaking the silence" | | 6 | "Silas asked, his voice rough" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.478 | | leniency | 0.957 | | rawRatio | 0 | | effectiveRatio | 0 | |