| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 73.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 937 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "softly" | | 1 | "knowingly" | | 2 | "really" | | 3 | "carefully" | | 4 | "quickly" |
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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) | |
| 25.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 937 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "etched" | | 1 | "reminder" | | 2 | "familiar" | | 3 | "silence" | | 4 | "weight" | | 5 | "unspoken" | | 6 | "tension" | | 7 | "tracing" | | 8 | "flicker" |
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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 | 1 | | narrationSentences | 40 | | matches | | |
| 71.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 40 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 56 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 935 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 647 | | uniqueNames | 6 | | maxNameDensity | 2.01 | | worstName | "Silas" | | maxWindowNameDensity | 4 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Silas | 13 | | Blackwood | 1 | | Rory | 9 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Blackwood" | | 3 | "Rory" |
| | places | | | globalScore | 0.495 | | windowScore | 0.333 | |
| 84.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 1 | | matches | | 0 | "sound that seemed to carry the weight of worlds" |
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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 | 935 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 56 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 35.96 | | std | 18.27 | | cv | 0.508 | | sampleLengths | | 0 | 78 | | 1 | 32 | | 2 | 32 | | 3 | 73 | | 4 | 28 | | 5 | 30 | | 6 | 14 | | 7 | 56 | | 8 | 20 | | 9 | 41 | | 10 | 21 | | 11 | 72 | | 12 | 25 | | 13 | 25 | | 14 | 29 | | 15 | 24 | | 16 | 44 | | 17 | 17 | | 18 | 34 | | 19 | 35 | | 20 | 12 | | 21 | 35 | | 22 | 28 | | 23 | 18 | | 24 | 63 | | 25 | 49 |
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| 96.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 40 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 98 | | matches | | |
| 91.84% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 56 | | ratio | 0.018 | | matches | | 0 | "She'd changed since the last time they'd been in the same room—her black hair was shorter, her blue eyes harder." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 634 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, crescent-shaped scar" | | 1 | "unspoken pressing against them" |
| | adverbCount | 21 | | adverbRatio | 0.033123028391167195 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.012618296529968454 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 56 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 56 | | mean | 16.7 | | std | 8.36 | | cv | 0.501 | | sampleLengths | | 0 | 25 | | 1 | 14 | | 2 | 25 | | 3 | 14 | | 4 | 17 | | 5 | 15 | | 6 | 32 | | 7 | 13 | | 8 | 20 | | 9 | 24 | | 10 | 16 | | 11 | 28 | | 12 | 7 | | 13 | 23 | | 14 | 7 | | 15 | 7 | | 16 | 16 | | 17 | 19 | | 18 | 21 | | 19 | 20 | | 20 | 14 | | 21 | 27 | | 22 | 3 | | 23 | 13 | | 24 | 5 | | 25 | 5 | | 26 | 42 | | 27 | 25 | | 28 | 12 | | 29 | 13 | | 30 | 15 | | 31 | 10 | | 32 | 17 | | 33 | 12 | | 34 | 11 | | 35 | 13 | | 36 | 23 | | 37 | 21 | | 38 | 12 | | 39 | 5 | | 40 | 12 | | 41 | 22 | | 42 | 25 | | 43 | 10 | | 44 | 11 | | 45 | 1 | | 46 | 18 | | 47 | 17 | | 48 | 20 | | 49 | 8 |
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| 80.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.48214285714285715 | | totalSentences | 56 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 90.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 40 | | matches | | 0 | "His movements were unhurried, the" | | 1 | "he replied, his voice a" | | 2 | "She'd changed since the last" | | 3 | "She slid onto a bar" | | 4 | "she said, her tone light" | | 5 | "They lapsed into silence, the" | | 6 | "He'd been down those roads" | | 7 | "She met his gaze, unflinching." | | 8 | "She hesitated, her fingers tracing" | | 9 | "She smiled then, really smiled," | | 10 | "He paused, considering his next" | | 11 | "She relented, a smirk tugging" | | 12 | "They shook hands, the signet" |
| | ratio | 0.325 | |
| 35.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 34 | | totalSentences | 40 | | matches | | 0 | "The dim lights of The" | | 1 | "His movements were unhurried, the" | | 2 | "The silver signet ring on" | | 3 | "Silas looked up, his hazel" | | 4 | "he replied, his voice a" | | 5 | "Rory stepped further into the" | | 6 | "She'd changed since the last" | | 7 | "A small, crescent-shaped scar was" | | 8 | "She slid onto a bar" | | 9 | "she said, her tone light" | | 10 | "Silas chuckled, the sound low" | | 11 | "Rory laughed, the sound unexpectedly" | | 12 | "They lapsed into silence, the" | | 13 | "Rory glanced around the bar," | | 14 | "Silas watched her, read the" | | 15 | "Silas asked, his words an" | | 16 | "Rory sighed, a long, tired" | | 17 | "Silas nodded, knowingly." | | 18 | "He'd been down those roads" | | 19 | "She met his gaze, unflinching." |
| | ratio | 0.85 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory glanced around the bar, noting the old maps, the black-and-white photographs that hadn't been there the last time." | | 1 | "And just like that, the years slipped away once more, leaving them in a moment that was both new and familiar, heavy with the memories of what was and the promi…" |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "Silas asked, his words an invitation rather than a question" | | 1 | "Silas said, his voice firm, leaving no room for argument" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.208 | | leniency | 0.417 | | rawRatio | 0 | | effectiveRatio | 0 | |