| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 33 | | adverbTagCount | 1 | | adverbTags | | 0 | "He glanced around [around]" |
| | dialogueSentences | 84 | | tagDensity | 0.393 | | leniency | 0.786 | | rawRatio | 0.03 | | effectiveRatio | 0.024 | |
| 96.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1557 | | 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) | |
| 87.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1557 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "silence" | | 1 | "warmth" | | 2 | "whisper" | | 3 | "flickered" |
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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 | 101 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 101 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 66 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1547 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 31 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 893 | | uniqueNames | 10 | | maxNameDensity | 1.34 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | Raven | 1 | | Nest | 1 | | Marsh | 2 | | Evan | 9 | | Welsh | 1 | | Silas | 7 | | Factual | 1 | | Started | 2 | | Roath | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Evan" | | 3 | "Silas" |
| | places | | | globalScore | 0.828 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared beside her, towel over his shoulder" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.646 | | wordCount | 1547 | | matches | | 0 | "not to a whisper but to the register people use" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 152 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 85 | | mean | 18.2 | | std | 19.85 | | cv | 1.091 | | sampleLengths | | 0 | 78 | | 1 | 19 | | 2 | 4 | | 3 | 30 | | 4 | 6 | | 5 | 27 | | 6 | 1 | | 7 | 3 | | 8 | 90 | | 9 | 3 | | 10 | 10 | | 11 | 5 | | 12 | 8 | | 13 | 37 | | 14 | 3 | | 15 | 21 | | 16 | 4 | | 17 | 38 | | 18 | 3 | | 19 | 21 | | 20 | 19 | | 21 | 4 | | 22 | 30 | | 23 | 16 | | 24 | 51 | | 25 | 8 | | 26 | 34 | | 27 | 2 | | 28 | 3 | | 29 | 33 | | 30 | 7 | | 31 | 46 | | 32 | 4 | | 33 | 3 | | 34 | 2 | | 35 | 51 | | 36 | 25 | | 37 | 18 | | 38 | 7 | | 39 | 3 | | 40 | 32 | | 41 | 23 | | 42 | 18 | | 43 | 1 | | 44 | 2 | | 45 | 5 | | 46 | 22 | | 47 | 70 | | 48 | 5 | | 49 | 19 |
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| 94.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 101 | | matches | | 0 | "been printed" | | 1 | "is meant" | | 2 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 168 | | matches | (empty) | |
| 48.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 152 | | ratio | 0.033 | | matches | | 0 | "The man at the end of the bar turned his head—slow, deliberate, the way people move when they're not sure they're seeing what they think they're seeing." | | 1 | "He'd filled out through the jaw, the neck, the shoulders—thick in a way that spoke of gym routines and protein shakes rather than the lean, restless boy who used to eat kebabs on the Welsh coast at two in the morning." | | 2 | "\"Yeah?\" He glanced around the bar—at the black-and-white photographs, at Silas refilling a bowl of peanuts without looking up." | | 3 | "Something flickered across his face—recognition, maybe, or the shadow of it." | | 4 | "He reached for his wallet—a slim black thing, expensive—and laid a note on the bar that covered his drink and more." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 905 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.016574585635359115 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0033149171270718232 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 10.18 | | std | 10.04 | | cv | 0.986 | | sampleLengths | | 0 | 19 | | 1 | 5 | | 2 | 30 | | 3 | 24 | | 4 | 19 | | 5 | 4 | | 6 | 25 | | 7 | 5 | | 8 | 3 | | 9 | 3 | | 10 | 27 | | 11 | 1 | | 12 | 3 | | 13 | 6 | | 14 | 11 | | 15 | 22 | | 16 | 10 | | 17 | 41 | | 18 | 3 | | 19 | 2 | | 20 | 5 | | 21 | 3 | | 22 | 4 | | 23 | 1 | | 24 | 8 | | 25 | 7 | | 26 | 19 | | 27 | 11 | | 28 | 3 | | 29 | 19 | | 30 | 2 | | 31 | 4 | | 32 | 33 | | 33 | 5 | | 34 | 3 | | 35 | 13 | | 36 | 3 | | 37 | 5 | | 38 | 7 | | 39 | 12 | | 40 | 4 | | 41 | 4 | | 42 | 20 | | 43 | 6 | | 44 | 8 | | 45 | 8 | | 46 | 34 | | 47 | 17 | | 48 | 8 | | 49 | 7 |
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| 50.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.34868421052631576 | | totalSentences | 152 | | uniqueOpeners | 53 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 43.38% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 77 | | matches | | 0 | "She leaned on her forearms" | | 1 | "He poured it." | | 2 | "She looked up." | | 3 | "His hair had gone steel" | | 4 | "He'd filled out through the" | | 5 | "It didn't reach his eyes." | | 6 | "It never had." | | 7 | "He took his first sip" | | 8 | "His eyes stayed on her" | | 9 | "He glanced around the bar—at" | | 10 | "He said *Eva* the way" | | 11 | "He pulled his stool an" | | 12 | "He laughed, short and without" | | 13 | "He caught himself, reined it" | | 14 | "She set the glass down" | | 15 | "He said *pays* with a" | | 16 | "He leaned in" | | 17 | "His voice dropped, not to" | | 18 | "He picked up the glass," | | 19 | "She said it flat" |
| | ratio | 0.442 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 77 | | matches | | 0 | "The green neon sign bled" | | 1 | "Rain ticked against the windows." | | 2 | "Silas stood behind the bar" | | 3 | "A man sat at the" | | 4 | "Rory shrugged off her jacket," | | 5 | "She leaned on her forearms" | | 6 | "He poured it." | | 7 | "The ice clinked." | | 8 | "The man at the end" | | 9 | "She looked up." | | 10 | "Evan Marsh sat three feet" | | 11 | "His hair had gone steel" | | 12 | "A gold watch caught the" | | 13 | "He'd filled out through the" | | 14 | "It didn't reach his eyes." | | 15 | "It never had." | | 16 | "Rory wrapped both hands around" | | 17 | "He took his first sip" | | 18 | "His eyes stayed on her" | | 19 | "He glanced around the bar—at" |
| | ratio | 0.974 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 10.58% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 5 | | matches | | 0 | "Silas stood behind the bar polishing a glass with a cloth that had seen better decades, and the maps on the walls looked older than the day they'd been printed." | | 1 | "Or someone who wore Evan Marsh's face like a borrowed coat." | | 2 | "He'd filled out through the jaw, the neck, the shoulders—thick in a way that spoke of gym routines and protein shakes rather than the lean, restless boy who use…" | | 3 | "He turned the glass in his hands, mirroring the motion she'd been making minutes ago." | | 4 | "He reached for his wallet—a slim black thing, expensive—and laid a note on the bar that covered his drink and more." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 33 | | uselessAdditionCount | 1 | | matches | | 0 | "Evan shook, a small motion, almost amused" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 84 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.056 | | effectiveRatio | 0.024 | |