| 54.17% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 36 | | adverbTagCount | 7 | | adverbTags | | 0 | "Aurora gestured vaguely [vaguely]" | | 1 | "The admission felt more [more]" | | 2 | "Aurora said simply [simply]" | | 3 | "She glanced around [around]" | | 4 | "James gestured around [around]" | | 5 | "he agreed softly [softly]" | | 6 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 96 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.194 | | effectiveRatio | 0.146 | |
| 70.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1360 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "very" | | 3 | "softly" | | 4 | "suddenly" |
| |
| 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) | |
| 55.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1360 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "otherworldly" | | 1 | "chill" | | 2 | "weight" | | 3 | "scanned" | | 4 | "eyebrow" | | 5 | "charged" | | 6 | "warmth" | | 7 | "tracing" | | 8 | "gleaming" | | 9 | "unspoken" | | 10 | "charm" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "The weight of unspoken words" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 81 | | matches | (empty) | |
| 89.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1346 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 853 | | uniqueNames | 11 | | maxNameDensity | 2.46 | | worstName | "Aurora" | | maxWindowNameDensity | 4.5 | | worstWindowName | "James" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Tuesday | 1 | | Silas | 4 | | Three | 1 | | London | 2 | | Harrington | 1 | | James | 19 | | Aurora | 21 | | Evan | 1 | | Five | 3 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Harrington" | | 4 | "James" | | 5 | "Aurora" | | 6 | "Evan" |
| | places | | | globalScore | 0.269 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 51.41% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.486 | | wordCount | 1346 | | matches | | 0 | "not packed, but comfortably populated with the kind of regulars who made the" | | 1 | "Not this time,\" Aurora said, but even to her own ears, it sounded unconvincing" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 141 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 87 | | mean | 15.47 | | std | 11.66 | | cv | 0.754 | | sampleLengths | | 0 | 72 | | 1 | 38 | | 2 | 24 | | 3 | 43 | | 4 | 22 | | 5 | 24 | | 6 | 20 | | 7 | 35 | | 8 | 18 | | 9 | 20 | | 10 | 10 | | 11 | 20 | | 12 | 31 | | 13 | 13 | | 14 | 3 | | 15 | 8 | | 16 | 12 | | 17 | 18 | | 18 | 13 | | 19 | 18 | | 20 | 15 | | 21 | 15 | | 22 | 12 | | 23 | 15 | | 24 | 4 | | 25 | 4 | | 26 | 13 | | 27 | 7 | | 28 | 14 | | 29 | 28 | | 30 | 10 | | 31 | 6 | | 32 | 20 | | 33 | 9 | | 34 | 8 | | 35 | 29 | | 36 | 21 | | 37 | 7 | | 38 | 11 | | 39 | 17 | | 40 | 23 | | 41 | 3 | | 42 | 15 | | 43 | 26 | | 44 | 8 | | 45 | 6 | | 46 | 4 | | 47 | 8 | | 48 | 7 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 162 | | matches | | 0 | "weren't saying" | | 1 | "was studying" |
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| 21.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 141 | | ratio | 0.043 | | matches | | 0 | "The Raven's Nest hummed with its usual Tuesday night crowd—not packed, but comfortably populated with the kind of regulars who made the place feel lived-in." | | 1 | "He laughed—a clipped, controlled sound nothing like the full-body laugh that used to make her sides hurt from laughing along." | | 2 | "Their fingers didn't touch—she made sure of that." | | 3 | "When she looked up again, James was studying the photographs on the wall behind the bar—black and white scenes of London through the decades." | | 4 | "A smile—his real smile, the one she remembered—broke through." | | 5 | "Across the room, James laughed at something his client said—that new, controlled laugh that didn't reach his eyes." |
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| 94.86% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 872 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.045871559633027525 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.0194954128440367 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 9.55 | | std | 7.05 | | cv | 0.739 | | sampleLengths | | 0 | 25 | | 1 | 47 | | 2 | 17 | | 3 | 21 | | 4 | 12 | | 5 | 12 | | 6 | 11 | | 7 | 32 | | 8 | 2 | | 9 | 11 | | 10 | 9 | | 11 | 14 | | 12 | 10 | | 13 | 20 | | 14 | 6 | | 15 | 16 | | 16 | 13 | | 17 | 18 | | 18 | 10 | | 19 | 10 | | 20 | 4 | | 21 | 6 | | 22 | 11 | | 23 | 9 | | 24 | 20 | | 25 | 11 | | 26 | 8 | | 27 | 5 | | 28 | 3 | | 29 | 4 | | 30 | 4 | | 31 | 12 | | 32 | 10 | | 33 | 8 | | 34 | 13 | | 35 | 13 | | 36 | 5 | | 37 | 13 | | 38 | 2 | | 39 | 2 | | 40 | 13 | | 41 | 4 | | 42 | 8 | | 43 | 11 | | 44 | 4 | | 45 | 4 | | 46 | 4 | | 47 | 13 | | 48 | 4 | | 49 | 3 |
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| 85.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5390070921985816 | | totalSentences | 141 | | uniqueOpeners | 76 | |
| 45.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 74 | | matches | | 0 | "Then, for just a moment," |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 74 | | matches | | 0 | "His once wild, curly hair" | | 1 | "His eyes widened, recognition dawning" | | 2 | "He moved toward the bar," | | 3 | "she called out, sliding it" | | 4 | "She wiped her hands on" | | 5 | "He laughed—a clipped, controlled sound" | | 6 | "He tapped his breast pocket" | | 7 | "She poured his drink, sliding" | | 8 | "Their fingers didn't touch—she made" | | 9 | "He took a careful sip" | | 10 | "She glanced around the bar," | | 11 | "She couldn't help asking" | | 12 | "He considered her, eyes tracing" | | 13 | "he replied, defensive edge creeping" | | 14 | "She poured a second drink," | | 15 | "She leaned against the counter" | | 16 | "he answered after a pause" | | 17 | "he agreed softly" | | 18 | "He stood, adjusting his tie" | | 19 | "He gestured vaguely between them" |
| | ratio | 0.297 | |
| 20.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 74 | | matches | | 0 | "The Raven's Nest hummed with" | | 1 | "Aurora wiped down glasses behind" | | 2 | "Aurora told herself, mixing the" | | 3 | "The door swung open, letting" | | 4 | "Aurora glanced up, then froze," | | 5 | "James Harrington stood in the" | | 6 | "His once wild, curly hair" | | 7 | "James scanned the bar, clearly" | | 8 | "His eyes widened, recognition dawning" | | 9 | "He moved toward the bar," | | 10 | "Aurora finished pouring the drink" | | 11 | "she called out, sliding it" | | 12 | "She wiped her hands on" | | 13 | "James said, settling onto a" | | 14 | "Aurora gestured vaguely around the" | | 15 | "James tilted his head." | | 16 | "The admission felt more vulnerable" | | 17 | "He laughed—a clipped, controlled sound" | | 18 | "Aurora reached for a glass" | | 19 | "Aurora raised an eyebrow." |
| | ratio | 0.878 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 74 | | matches | | 0 | "As if five years could" | | 1 | "Just as he sat down," |
| | ratio | 0.027 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 4 | | matches | | 0 | "The Raven's Nest hummed with its usual Tuesday night crowd—not packed, but comfortably populated with the kind of regulars who made the place feel lived-in." | | 1 | "His once wild, curly hair was cut into a severe side part, his formerly lanky frame filled out with the solid weight of someone who'd discovered protein shakes …" | | 2 | "He laughed—a clipped, controlled sound nothing like the full-body laugh that used to make her sides hurt from laughing along." | | 3 | "Across the room, James laughed at something his client said—that new, controlled laugh that didn't reach his eyes." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 36 | | uselessAdditionCount | 1 | | matches | | 0 | "Silas asked, his eyes following her gaze" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 4 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "she admitted (admit)" | | 2 | "Aurora laughed (laugh)" | | 3 | "he agreed softly (agree)" |
| | dialogueSentences | 96 | | tagDensity | 0.146 | | leniency | 0.292 | | rawRatio | 0.286 | | effectiveRatio | 0.083 | |