| 94.74% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 3 | | adverbTags | | 0 | "He looked around [around]" | | 1 | "Evan gestured vaguely [vaguely]" | | 2 | "she said quietly [quietly]" |
| | dialogueSentences | 57 | | tagDensity | 0.351 | | leniency | 0.702 | | rawRatio | 0.15 | | effectiveRatio | 0.105 | |
| 83.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1535 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "completely" | | 1 | "slightly" | | 2 | "slowly" | | 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) | |
| 31.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1535 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "flickered" | | 1 | "shattered" | | 2 | "lilt" | | 3 | "crystal" | | 4 | "shimmered" | | 5 | "familiar" | | 6 | "stomach" | | 7 | "potential" | | 8 | "chill" | | 9 | "calculating" | | 10 | "charm" | | 11 | "profound" | | 12 | "tension" | | 13 | "fleeting" | | 14 | "methodical" | | 15 | "encounter" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "the air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 111 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 111 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 148 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 18 | | totalWords | 1526 | | ratio | 0.012 | | matches | | 0 | "You’re being irrational, Aurora. Think it through. I only want what’s best." | | 1 | "A little mark," | | 2 | "Proof you survived." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1110 | | uniqueNames | 13 | | maxNameDensity | 0.99 | | worstName | "Evan" | | maxWindowNameDensity | 3 | | worstWindowName | "Evan" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | London | 2 | | Cardiff | 1 | | Evan | 11 | | Rory | 9 | | Oban | 2 | | Peace | 1 | | Corps | 1 | | Aurora | 1 | | Silas | 8 |
| | persons | | | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "London" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 0.667 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 2 | | matches | | 0 | "as if discussing the weather" | | 1 | "looked like the ghost of the boy she’d kn" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1526 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 148 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 27.75 | | std | 19.41 | | cv | 0.699 | | sampleLengths | | 0 | 75 | | 1 | 30 | | 2 | 60 | | 3 | 57 | | 4 | 25 | | 5 | 1 | | 6 | 53 | | 7 | 20 | | 8 | 14 | | 9 | 5 | | 10 | 14 | | 11 | 39 | | 12 | 18 | | 13 | 10 | | 14 | 38 | | 15 | 3 | | 16 | 18 | | 17 | 37 | | 18 | 23 | | 19 | 20 | | 20 | 48 | | 21 | 2 | | 22 | 40 | | 23 | 7 | | 24 | 64 | | 25 | 15 | | 26 | 4 | | 27 | 11 | | 28 | 3 | | 29 | 39 | | 30 | 38 | | 31 | 49 | | 32 | 33 | | 33 | 26 | | 34 | 10 | | 35 | 23 | | 36 | 43 | | 37 | 43 | | 38 | 25 | | 39 | 31 | | 40 | 32 | | 41 | 47 | | 42 | 59 | | 43 | 12 | | 44 | 40 | | 45 | 15 | | 46 | 1 | | 47 | 32 | | 48 | 73 | | 49 | 9 |
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| 98.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 111 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 206 | | matches | (empty) | |
| 84.94% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 148 | | ratio | 0.02 | | matches | | 0 | "Something flickered there—surprise, a quick calculation, then a smooth, practiced smile that didn’t reach his eyes." | | 1 | "His signet ring—a new one, heavy and gold—clicked against the surface." | | 2 | "He took in the scene with a single glance—Rory behind the bar, Evan facing her, the tension like a third person in the room." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1117 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.02775290957923008 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.009847806624888093 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 148 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 148 | | mean | 10.31 | | std | 6.71 | | cv | 0.651 | | sampleLengths | | 0 | 18 | | 1 | 27 | | 2 | 14 | | 3 | 16 | | 4 | 6 | | 5 | 11 | | 6 | 8 | | 7 | 5 | | 8 | 18 | | 9 | 22 | | 10 | 9 | | 11 | 6 | | 12 | 4 | | 13 | 1 | | 14 | 6 | | 15 | 25 | | 16 | 10 | | 17 | 16 | | 18 | 20 | | 19 | 5 | | 20 | 1 | | 21 | 19 | | 22 | 11 | | 23 | 20 | | 24 | 3 | | 25 | 15 | | 26 | 5 | | 27 | 14 | | 28 | 3 | | 29 | 2 | | 30 | 3 | | 31 | 3 | | 32 | 4 | | 33 | 4 | | 34 | 3 | | 35 | 19 | | 36 | 9 | | 37 | 8 | | 38 | 9 | | 39 | 9 | | 40 | 10 | | 41 | 6 | | 42 | 16 | | 43 | 16 | | 44 | 3 | | 45 | 7 | | 46 | 11 | | 47 | 3 | | 48 | 5 | | 49 | 15 |
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| 44.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.31756756756756754 | | totalSentences | 148 | | uniqueOpeners | 47 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 108 | | matches | | 0 | "Then his eyes landed on" | | 1 | "Just a scar." | | 2 | "Then he was gone, the" |
| | ratio | 0.028 | |
| 27.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 52 | | totalSentences | 108 | | matches | | 0 | "It faltered, then vanished completely." | | 1 | "His hair, once a messy" | | 2 | "He had the lean, sharp" | | 3 | "He didn’t see her at" | | 4 | "He surveyed the room with" | | 5 | "he said, his voice deeper" | | 6 | "He approached the bar, placing" | | 7 | "His signet ring—a new one," | | 8 | "He looked around, his smile" | | 9 | "She tossed the cloth under" | | 10 | "He leaned forward slightly." | | 11 | "She didn’t answer." | | 12 | "She turned, selected a bottle" | | 13 | "She set it before him" | | 14 | "He picked it up, swirled" | | 15 | "He chuckled, a dry, humorless" | | 16 | "He took another sip, his" | | 17 | "He let the question hang" | | 18 | "She felt the familiar cold" | | 19 | "She swallowed it." |
| | ratio | 0.481 | |
| 6.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 108 | | matches | | 0 | "The green neon sign flickered" | | 1 | "Rory wiped down the bar’s" | | 2 | "Silas was in the back," | | 3 | "The bell above the door" | | 4 | "A figure stepped in, shaking" | | 5 | "Rory glanced up, her polite" | | 6 | "It faltered, then vanished completely." | | 7 | "The man shrugged off his" | | 8 | "His hair, once a messy" | | 9 | "He had the lean, sharp" | | 10 | "A clear, unsettling green." | | 11 | "He didn’t see her at" | | 12 | "He surveyed the room with" | | 13 | "Something flickered there—surprise, a quick" | | 14 | "he said, his voice deeper" | | 15 | "He approached the bar, placing" | | 16 | "His signet ring—a new one," | | 17 | "He looked around, his smile" | | 18 | "She tossed the cloth under" | | 19 | "Evan gestured vaguely towards the" |
| | ratio | 0.907 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 76.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 4 | | matches | | 0 | "Inside The Raven’s Nest, the air was thick with the scent of old wood, cheap gin, and cigarette smoke that had long since soaked into the walls." | | 1 | "Something flickered there—surprise, a quick calculation, then a smooth, practiced smile that didn’t reach his eyes." | | 2 | "The boy who wrote bad poetry and talked about joining the Peace Corps was gone, sanded away and replaced with this sleek, calculating man." | | 3 | "He looked from Silas to Rory, his gaze lingering on her face, searching for a crack, a hint of the old uncertainty." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 5 | | matches | | 0 | "He looked around, his smile turning faintly dismissive" | | 1 | "he said, his tone conversational, as if discussing the weather" | | 2 | "He leaned, his voice dropping" | | 3 | "she said, her voice quiet but clear in the hushed bar" | | 4 | "Silas said, his voice a low rumble" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 57 | | tagDensity | 0.14 | | leniency | 0.281 | | rawRatio | 0 | | effectiveRatio | 0 | |