| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.421 | | leniency | 0.842 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1446 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "really" | | 1 | "completely" | | 2 | "truly" | | 3 | "very" |
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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) | |
| 86.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1446 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "methodical" | | 1 | "weight" | | 2 | "measured" | | 3 | "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 | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1433 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1009 | | uniqueNames | 12 | | maxNameDensity | 0.99 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 8 | | Raven | 1 | | Nest | 1 | | Prague | 1 | | Silas | 10 | | Blackwood | 1 | | London | 1 | | Brendan | 2 | | Coca-Cola | 1 | | Eva | 4 | | Cardiff | 2 | | Started | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Brendan" | | 5 | "Coca-Cola" | | 6 | "Eva" |
| | places | | 0 | "Prague" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 4 | | matches | | 0 | "tasted like nothing" | | 1 | "tasted like the absence of everything" | | 2 | "Eva, who had apparently been more connected" | | 3 | "tasted like nothing, but she drank it any" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.698 | | wordCount | 1433 | | matches | | 0 | "not regret, exactly, but its quieter cousin" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 34.95 | | std | 24.97 | | cv | 0.714 | | sampleLengths | | 0 | 72 | | 1 | 66 | | 2 | 25 | | 3 | 7 | | 4 | 40 | | 5 | 56 | | 6 | 9 | | 7 | 6 | | 8 | 49 | | 9 | 12 | | 10 | 58 | | 11 | 20 | | 12 | 11 | | 13 | 73 | | 14 | 115 | | 15 | 32 | | 16 | 32 | | 17 | 37 | | 18 | 10 | | 19 | 26 | | 20 | 28 | | 21 | 12 | | 22 | 39 | | 23 | 6 | | 24 | 80 | | 25 | 18 | | 26 | 29 | | 27 | 39 | | 28 | 74 | | 29 | 3 | | 30 | 52 | | 31 | 41 | | 32 | 5 | | 33 | 44 | | 34 | 43 | | 35 | 18 | | 36 | 46 | | 37 | 2 | | 38 | 46 | | 39 | 15 | | 40 | 37 |
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| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 70 | | matches | | 0 | "were gone" | | 1 | "been eleven" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 168 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 92 | | ratio | 0.12 | | matches | | 0 | "A photograph of Prague—she'd asked about it once, early on, and he'd changed the subject so smoothly she'd almost missed the pivot." | | 1 | "The woman had her coat already buttoned; the man held the door for her with the automatic courtesy of long habit." | | 2 | "The bell above the door chimed once, twice, and then they were gone, and it was just the three of them—the stranger with his amber drink, Silas with his tumbler, and Rory with her tonic water that tasted like the absence of everything." | | 3 | "Her father had brought her to London for a weekend—some conference or dinner, she couldn't recall which—and Brendan had needed somewhere to leave her for the evening." | | 4 | "She'd walked into this place four months ago, expecting—what?" | | 5 | "He turned the signet ring on his right hand—a slow, unconscious rotation she'd watched him do a hundred times." | | 6 | "\"Because you didn't want to be recognized.\" He said it simply, the way he said everything—no flourish, no apologia." | | 7 | "\"Eva's mother and I go back further than you'd believe. Different world.\" He paused, and something moved across his face—not regret, exactly, but its quieter cousin." | | 8 | "The stranger paid and left, the bell chiming his exit, and then they were truly alone—the two of them in the dim room with its old maps and older photographs, fourteen years collapsed into the space between bar stools." | | 9 | "Silas looked at her, and for the first time since she'd known him—the first time in four months of tonic waters and quiet nods and the careful architecture of distance—he let her see something behind the measured calm." | | 10 | "It still tasted like nothing, but she drank it anyway, and the silence that followed was different from the ones that had come before—heavier, perhaps, but no longer quite so empty." |
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| 84.58% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1024 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 59 | | adverbRatio | 0.0576171875 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.01171875 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 15.58 | | std | 12.58 | | cv | 0.808 | | sampleLengths | | 0 | 22 | | 1 | 28 | | 2 | 5 | | 3 | 17 | | 4 | 41 | | 5 | 25 | | 6 | 25 | | 7 | 4 | | 8 | 3 | | 9 | 36 | | 10 | 4 | | 11 | 16 | | 12 | 18 | | 13 | 22 | | 14 | 9 | | 15 | 6 | | 16 | 21 | | 17 | 21 | | 18 | 7 | | 19 | 7 | | 20 | 5 | | 21 | 39 | | 22 | 19 | | 23 | 11 | | 24 | 9 | | 25 | 11 | | 26 | 9 | | 27 | 21 | | 28 | 43 | | 29 | 13 | | 30 | 3 | | 31 | 27 | | 32 | 7 | | 33 | 30 | | 34 | 35 | | 35 | 11 | | 36 | 21 | | 37 | 2 | | 38 | 9 | | 39 | 1 | | 40 | 20 | | 41 | 13 | | 42 | 14 | | 43 | 10 | | 44 | 10 | | 45 | 7 | | 46 | 8 | | 47 | 11 | | 48 | 6 | | 49 | 19 |
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| 45.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.358695652173913 | | totalSentences | 92 | | uniqueOpeners | 33 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 13.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 62 | | matches | | 0 | "She pushed through the door" | | 1 | "She'd been pulling them over" | | 2 | "She took a seat two" | | 3 | "She glanced at the bottles" | | 4 | "He poured it without commentary," | | 5 | "She'd almost missed a lot" | | 6 | "He set down the glass," | | 7 | "Her hand stilled on the" | | 8 | "She remembered the last time" | | 9 | "She'd been eleven." | | 10 | "Her father had brought her" | | 11 | "She'd sat on a stool" | | 12 | "He'd slipped her a packet" | | 13 | "She'd thought he was the" | | 14 | "She'd told Eva about it" | | 15 | "She'd walked into this place" | | 16 | "He'd looked at her with" | | 17 | "It had taken her three" | | 18 | "He'd said, and gone back" | | 19 | "she said now" |
| | ratio | 0.516 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 62 | | matches | | 0 | "The green neon hummed its" | | 1 | "She pushed through the door" | | 2 | "The sleeves were too long." | | 3 | "She'd been pulling them over" | | 4 | "The bar held three customers:" | | 5 | "Silas stood behind the counter," | | 6 | "She took a seat two" | | 7 | "She glanced at the bottles" | | 8 | "He poured it without commentary," | | 9 | "The maps on the walls" | | 10 | "A photograph of Prague—she'd asked" | | 11 | "She'd almost missed a lot" | | 12 | "He set down the glass," | | 13 | "The auburn in his beard" | | 14 | "Her hand stilled on the" | | 15 | "Silas leaned his weight on" | | 16 | "Rory took a sip of" | | 17 | "The couple in the corner" | | 18 | "The woman had her coat" | | 19 | "The bell above the door" |
| | ratio | 0.968 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 31.25% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 5 | | matches | | 0 | "The bar held three customers: a couple tucked into the corner booth speaking in the low murmurs of people who had said everything important years ago, and a man…" | | 1 | "Silas stood behind the counter, polishing a tumbler with the methodical attention of someone who had once done far more delicate work with his hands." | | 2 | "She'd sat on a stool that was too high for her legs to reach the footrail, drinking a Coca-Cola, watching Silas make change for a rowdy group of drama students." | | 3 | "Eva, who had driven her to the train station in Cardiff with a playlist she'd made specifically for the journey, who had texted her every day for two months unt…" | | 4 | "It still tasted like nothing, but she drank it anyway, and the silence that followed was different from the ones that had come before—heavier, perhaps, but no l…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 38 | | tagDensity | 0.184 | | leniency | 0.368 | | rawRatio | 0.143 | | effectiveRatio | 0.053 | |