| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "she asked quietly [quietly]" |
| | dialogueSentences | 70 | | tagDensity | 0.271 | | leniency | 0.543 | | rawRatio | 0.105 | | effectiveRatio | 0.057 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1295 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 57.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1295 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "flickered" | | 1 | "weight" | | 2 | "flicked" | | 3 | "unreadable" | | 4 | "pulse" | | 5 | "silence" | | 6 | "footsteps" | | 7 | "traced" |
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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 | 99 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 99 | | filterMatches | (empty) | | 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 | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1288 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 932 | | uniqueNames | 6 | | maxNameDensity | 1.07 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 8 | | Silas | 10 | | Evan | 10 | | Different | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Evan" |
| | places | (empty) | | globalScore | 0.964 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "as if bracing against an unseen wind" |
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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 | 1288 | | matches | (empty) | |
| 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 | 74 | | mean | 17.41 | | std | 16.17 | | cv | 0.929 | | sampleLengths | | 0 | 94 | | 1 | 13 | | 2 | 13 | | 3 | 6 | | 4 | 20 | | 5 | 35 | | 6 | 11 | | 7 | 49 | | 8 | 34 | | 9 | 4 | | 10 | 9 | | 11 | 57 | | 12 | 3 | | 13 | 1 | | 14 | 51 | | 15 | 14 | | 16 | 9 | | 17 | 24 | | 18 | 36 | | 19 | 27 | | 20 | 6 | | 21 | 25 | | 22 | 6 | | 23 | 6 | | 24 | 27 | | 25 | 54 | | 26 | 8 | | 27 | 15 | | 28 | 14 | | 29 | 3 | | 30 | 11 | | 31 | 21 | | 32 | 5 | | 33 | 10 | | 34 | 12 | | 35 | 21 | | 36 | 14 | | 37 | 8 | | 38 | 13 | | 39 | 10 | | 40 | 17 | | 41 | 3 | | 42 | 15 | | 43 | 2 | | 44 | 35 | | 45 | 4 | | 46 | 15 | | 47 | 12 | | 48 | 17 | | 49 | 38 |
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| 98.17% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 99 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 181 | | matches | | |
| 67.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 152 | | ratio | 0.026 | | matches | | 0 | "The bar smelled of aged wood and something sharper—gin, maybe, or the ghost of a thousand spilled secrets." | | 1 | "The bar’s walls were lined with yellowed maps and black-and-white photos—faces she didn’t know, places she’d never been." | | 2 | "His face was older, lined in ways she didn’t remember, but the eyes—sharp, assessing—were the same." | | 3 | "“Not lying.” His gaze flicked over her—her black hair, the dark circles under her eyes, the way her fingers drummed against the glass." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 377 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.021220159151193633 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 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 | 8.47 | | std | 6.38 | | cv | 0.753 | | sampleLengths | | 0 | 25 | | 1 | 18 | | 2 | 14 | | 3 | 37 | | 4 | 11 | | 5 | 2 | | 6 | 10 | | 7 | 3 | | 8 | 5 | | 9 | 1 | | 10 | 11 | | 11 | 9 | | 12 | 5 | | 13 | 18 | | 14 | 12 | | 15 | 9 | | 16 | 2 | | 17 | 11 | | 18 | 18 | | 19 | 5 | | 20 | 15 | | 21 | 5 | | 22 | 13 | | 23 | 3 | | 24 | 13 | | 25 | 4 | | 26 | 7 | | 27 | 2 | | 28 | 11 | | 29 | 11 | | 30 | 19 | | 31 | 16 | | 32 | 3 | | 33 | 1 | | 34 | 10 | | 35 | 6 | | 36 | 21 | | 37 | 14 | | 38 | 8 | | 39 | 6 | | 40 | 4 | | 41 | 5 | | 42 | 12 | | 43 | 5 | | 44 | 7 | | 45 | 13 | | 46 | 21 | | 47 | 2 | | 48 | 15 | | 49 | 12 |
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| 57.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3618421052631579 | | totalSentences | 152 | | uniqueOpeners | 55 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 90 | | matches | | 0 | "Just observed, the way he" | | 1 | "Just a little." |
| | ratio | 0.022 | |
| 24.44% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 90 | | matches | | 0 | "She shook rain from her" | | 1 | "She slid onto a stool," | | 2 | "She tapped the bar" | | 3 | "He set down the glass," | | 4 | "She rubbed her temple" | | 5 | "She took the drink, let" | | 6 | "She wondered if he ever" | | 7 | "He wore a long wool" | | 8 | "His face was older, lined" | | 9 | "Her breath hitched." | | 10 | "He stepped forward, the years" | | 11 | "His jaw was tighter, his" | | 12 | "His voice was softer now," | | 13 | "She gripped her glass." | | 14 | "He didn’t move, didn’t speak." | | 15 | "He glanced at Silas, then" | | 16 | "She took another sip, the" | | 17 | "he said finally" | | 18 | "She laughed, sharp and humourless." | | 19 | "His gaze flicked over her—her" |
| | ratio | 0.489 | |
| 21.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 90 | | matches | | 0 | "The green neon sign of" | | 1 | "The bar smelled of aged" | | 2 | "She shook rain from her" | | 3 | "The place was near empty," | | 4 | "She slid onto a stool," | | 5 | "Silas glanced up, his hazel" | | 6 | "She tapped the bar" | | 7 | "He set down the glass," | | 8 | "She rubbed her temple" | | 9 | "The day’s deliveries had been" | | 10 | "Silas poured, the amber liquid" | | 11 | "She took the drink, let" | | 12 | "The bar’s walls were lined" | | 13 | "She wondered if he ever" | | 14 | "The door creaked open again." | | 15 | "A gust of wind sent" | | 16 | "Rory didn’t turn." | | 17 | "The voice was rough, like" | | 18 | "A man stood in the" | | 19 | "He wore a long wool" |
| | ratio | 0.878 | |
| 55.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 90 | | matches | | 0 | "Now she delivered food for" |
| | ratio | 0.011 | |
| 84.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 3 | | matches | | 0 | "The place was near empty, just a couple of regulars hunched over their drinks and Silas behind the counter, polishing a glass with the slow deliberation of a ma…" | | 1 | "His jaw was tighter, his shoulders squared as if bracing against an unseen wind." | | 2 | "But the anger that had once burned so hot inside her had long since cooled to something quieter, something sadder." |
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| 72.37% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 2 | | matches | | 0 | "She took, the bourbon doing little to steady her pulse" | | 1 | "He studied, his gaze lingering on the scar on her wrist" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "Evan muttered (mutter)" | | 1 | "He repeated (repeat)" | | 2 | "she agreed (agree)" |
| | dialogueSentences | 70 | | tagDensity | 0.086 | | leniency | 0.171 | | rawRatio | 0.5 | | effectiveRatio | 0.086 | |