| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.216 | | leniency | 0.432 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1724 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "truly" | | 1 | "slowly" | | 2 | "slightly" | | 3 | "really" | | 4 | "suddenly" |
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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) | |
| 53.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1724 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "crystal" | | 2 | "chill" | | 3 | "scanned" | | 4 | "etched" | | 5 | "weight" | | 6 | "flicker" | | 7 | "potential" | | 8 | "navigate" | | 9 | "flickered" | | 10 | "familiar" | | 11 | "echoed" | | 12 | "reminder" | | 13 | "unwavering" | | 14 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1718 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1054 | | uniqueNames | 13 | | maxNameDensity | 1.23 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Brendan" | | discoveredNames | | Raven | 1 | | Nest | 2 | | London | 2 | | Aurora | 13 | | North | 1 | | Wales | 1 | | Carter | 1 | | Cardiff | 1 | | Golden | 2 | | Empress | 2 | | Silas | 7 | | Scotch | 3 | | Brendan | 10 |
| | persons | | 0 | "Nest" | | 1 | "Aurora" | | 2 | "Carter" | | 3 | "Empress" | | 4 | "Silas" | | 5 | "Brendan" |
| | places | | 0 | "Raven" | | 1 | "London" | | 2 | "North" | | 3 | "Wales" | | 4 | "Cardiff" | | 5 | "Golden" |
| | globalScore | 0.883 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.582 | | wordCount | 1718 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 29.12 | | std | 19.98 | | cv | 0.686 | | sampleLengths | | 0 | 88 | | 1 | 56 | | 2 | 9 | | 3 | 27 | | 4 | 1 | | 5 | 64 | | 6 | 1 | | 7 | 39 | | 8 | 6 | | 9 | 23 | | 10 | 35 | | 11 | 6 | | 12 | 24 | | 13 | 48 | | 14 | 7 | | 15 | 28 | | 16 | 10 | | 17 | 43 | | 18 | 15 | | 19 | 35 | | 20 | 17 | | 21 | 41 | | 22 | 41 | | 23 | 2 | | 24 | 30 | | 25 | 19 | | 26 | 25 | | 27 | 21 | | 28 | 16 | | 29 | 22 | | 30 | 75 | | 31 | 47 | | 32 | 37 | | 33 | 20 | | 34 | 28 | | 35 | 11 | | 36 | 7 | | 37 | 33 | | 38 | 55 | | 39 | 22 | | 40 | 34 | | 41 | 20 | | 42 | 9 | | 43 | 5 | | 44 | 24 | | 45 | 31 | | 46 | 15 | | 47 | 25 | | 48 | 19 | | 49 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 83.72% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 172 | | matches | | 0 | "was waking" | | 1 | "were going" | | 2 | "was waiting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 118 | | ratio | 0 | | matches | (empty) | |
| 99.95% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 649 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.040061633281972264 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.012326656394453005 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 14.56 | | std | 9.8 | | cv | 0.673 | | sampleLengths | | 0 | 17 | | 1 | 13 | | 2 | 6 | | 3 | 15 | | 4 | 17 | | 5 | 20 | | 6 | 10 | | 7 | 12 | | 8 | 13 | | 9 | 21 | | 10 | 9 | | 11 | 2 | | 12 | 20 | | 13 | 5 | | 14 | 1 | | 15 | 12 | | 16 | 28 | | 17 | 24 | | 18 | 1 | | 19 | 6 | | 20 | 6 | | 21 | 14 | | 22 | 4 | | 23 | 9 | | 24 | 6 | | 25 | 2 | | 26 | 4 | | 27 | 4 | | 28 | 13 | | 29 | 35 | | 30 | 6 | | 31 | 24 | | 32 | 13 | | 33 | 35 | | 34 | 7 | | 35 | 28 | | 36 | 10 | | 37 | 43 | | 38 | 15 | | 39 | 35 | | 40 | 5 | | 41 | 3 | | 42 | 9 | | 43 | 41 | | 44 | 11 | | 45 | 30 | | 46 | 2 | | 47 | 10 | | 48 | 20 | | 49 | 11 |
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| 38.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.23728813559322035 | | totalSentences | 118 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 39.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 84 | | matches | | 0 | "She nudged the heavy oak" | | 1 | "He looked up, his hazel" | | 2 | "He wore a charcoal wool" | | 3 | "He scanned the room, his" | | 4 | "She turned her head slowly." | | 5 | "He looked older, the lines" | | 6 | "He stared at her, the" | | 7 | "He took the seat beside" | | 8 | "He didn't ask questions." | | 9 | "He merely set a clean" | | 10 | "He kept his eyes on" | | 11 | "She glanced at the crescent-shaped" | | 12 | "He didn't drink." | | 13 | "He just watched the light" | | 14 | "She pointed toward the ceiling" | | 15 | "He closed his eyes as" | | 16 | "She stood up, her stool" | | 17 | "He looked at the signet" | | 18 | "He looked around the room," | | 19 | "It was still half full." |
| | ratio | 0.452 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 84 | | matches | | 0 | "Aurora shook her umbrella, the" | | 1 | "She nudged the heavy oak" | | 2 | "Silas hunched over the bar," | | 3 | "He looked up, his hazel" | | 4 | "The door creaked again before" | | 5 | "A man stepped in, shedding" | | 6 | "He wore a charcoal wool" | | 7 | "He scanned the room, his" | | 8 | "That voice carried the gravel" | | 9 | "She turned her head slowly." | | 10 | "Brendan Carter paused, his hand" | | 11 | "He looked older, the lines" | | 12 | "He stared at her, the" | | 13 | "He took the seat beside" | | 14 | "The wood groaned under his" | | 15 | "Silas moved toward them, his" | | 16 | "He didn't ask questions." | | 17 | "He merely set a clean" | | 18 | "The amber liquid swirled." | | 19 | "Brendan didn't touch it." |
| | ratio | 0.952 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 69.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 5 | | matches | | 0 | "He scanned the room, his gaze snagging on the maps lining the walls before landing on the stool next to her." | | 1 | "Brendan reached out, his hand hovering near her sleeve but never quite making contact." | | 2 | "He looked around the room, at the maps of places Silas had likely bled in, at the black-and-white photos of men who didn't exist on any official record." | | 3 | "Each step creaked under her boots, a familiar, steady sound that echoed in the quiet of the Nest." | | 4 | "She simply watched the steam rise and dissipate into the cold air of the room, a ghost of a conversation that wasn't finished, a bridge that was neither burnt n…" |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora said, her voice dropping an octave" |
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| 95.95% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Aurora snapped (snap)" | | 1 | "he whispered (whisper)" |
| | dialogueSentences | 37 | | tagDensity | 0.135 | | leniency | 0.27 | | rawRatio | 0.4 | | effectiveRatio | 0.108 | |