| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "he asked quietly [quietly]" |
| | dialogueSentences | 83 | | tagDensity | 0.229 | | leniency | 0.458 | | rawRatio | 0.053 | | effectiveRatio | 0.024 | |
| 92.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1357 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 63.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1357 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "flicked" | | 1 | "silence" | | 2 | "tracing" | | 3 | "charged" | | 4 | "footsteps" | | 5 | "weight" | | 6 | "electric" | | 7 | "crystal" |
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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 | 137 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 137 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 202 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1344 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 872 | | uniqueNames | 5 | | maxNameDensity | 1.95 | | worstName | "Silas" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Silas" | | discoveredNames | | Rory | 15 | | Raven | 1 | | Nest | 1 | | Prague | 1 | | Silas | 17 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Silas" |
| | places | | | globalScore | 0.525 | | windowScore | 0.167 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like motor oil into a glass" | | 1 | "sounded like breathing" |
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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 | 1344 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 202 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 105 | | mean | 12.8 | | std | 12.24 | | cv | 0.957 | | sampleLengths | | 0 | 79 | | 1 | 45 | | 2 | 12 | | 3 | 2 | | 4 | 48 | | 5 | 29 | | 6 | 9 | | 7 | 11 | | 8 | 21 | | 9 | 8 | | 10 | 27 | | 11 | 19 | | 12 | 21 | | 13 | 8 | | 14 | 3 | | 15 | 16 | | 16 | 28 | | 17 | 9 | | 18 | 24 | | 19 | 12 | | 20 | 10 | | 21 | 21 | | 22 | 8 | | 23 | 3 | | 24 | 51 | | 25 | 7 | | 26 | 4 | | 27 | 2 | | 28 | 9 | | 29 | 23 | | 30 | 14 | | 31 | 3 | | 32 | 21 | | 33 | 6 | | 34 | 3 | | 35 | 12 | | 36 | 11 | | 37 | 9 | | 38 | 8 | | 39 | 1 | | 40 | 13 | | 41 | 3 | | 42 | 11 | | 43 | 10 | | 44 | 14 | | 45 | 42 | | 46 | 7 | | 47 | 11 | | 48 | 10 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 137 | | matches | | 0 | "was made" | | 1 | "were rolled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 181 | | matches | | 0 | "was pouring" | | 1 | "was still bracing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 202 | | ratio | 0.054 | | matches | | 0 | "The Raven’s Nest hadn’t changed—still that same rotten egg smell of stale beer and old carpet, still the hush that fell when the wrong sort walked in." | | 1 | "Hazel eyes flicked over her—black coat, pale face, dark hair cut to her jawline." | | 2 | "A scar she didn’t have before, pale crescent on her left wrist—then recognition flared and his mouth settled into something colder than disappointment." | | 3 | "He studied her—the delivery bag, the boots, the way she sat without slouching, spine straight like she was still bracing for a strike." | | 4 | "Silas reached under the bar, pulled out a half-empty bottle of decent whisky—no label she recognised." | | 5 | "Footsteps approached—Silas shifted his weight slightly, a subtle guard shift." | | 6 | "Saw herself reflected too—hair shorter now, face sharper, the scar more pronounced than the rest of her." | | 7 | "The admission hung—raw, unvarnished." | | 8 | "His wedding band—long gone." | | 9 | "She laughed—real this time, bitter." | | 10 | "He smiled—small, tight." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 582 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.030927835051546393 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006872852233676976 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 202 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 202 | | mean | 6.65 | | std | 5.08 | | cv | 0.763 | | sampleLengths | | 0 | 14 | | 1 | 13 | | 2 | 12 | | 3 | 27 | | 4 | 13 | | 5 | 6 | | 6 | 18 | | 7 | 14 | | 8 | 7 | | 9 | 12 | | 10 | 2 | | 11 | 11 | | 12 | 14 | | 13 | 23 | | 14 | 7 | | 15 | 22 | | 16 | 4 | | 17 | 5 | | 18 | 5 | | 19 | 6 | | 20 | 2 | | 21 | 19 | | 22 | 8 | | 23 | 13 | | 24 | 14 | | 25 | 11 | | 26 | 2 | | 27 | 6 | | 28 | 9 | | 29 | 12 | | 30 | 3 | | 31 | 5 | | 32 | 3 | | 33 | 12 | | 34 | 4 | | 35 | 7 | | 36 | 11 | | 37 | 10 | | 38 | 6 | | 39 | 3 | | 40 | 11 | | 41 | 13 | | 42 | 10 | | 43 | 2 | | 44 | 4 | | 45 | 6 | | 46 | 3 | | 47 | 18 | | 48 | 2 | | 49 | 4 |
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| 61.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.40594059405940597 | | totalSentences | 202 | | uniqueOpeners | 82 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 103 | | matches | | 0 | "Just a thin silver chain" | | 1 | "Probably a habit too." | | 2 | "Just let it sit there." | | 3 | "Almost froze in the offer." | | 4 | "Almost let the past fifteen" | | 5 | "Instead, she hoisted her bag" |
| | ratio | 0.058 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 103 | | matches | | 0 | "She hesitated, gloved fingers tightening" | | 1 | "She shook rain from her" | | 2 | "He turned slow, like his" | | 3 | "He set the glass down." | | 4 | "He tapped his own eyes" | | 5 | "She glanced away, fingers tracing" | | 6 | "She shrugged the coat off" | | 7 | "He studied her—the delivery bag," | | 8 | "She almost laughed." | | 9 | "She picked it up, let" | | 10 | "They both drank." | | 11 | "She remembered that cough." | | 12 | "He wiped the bar again," | | 13 | "He nodded once, like that" | | 14 | "She almost said died" | | 15 | "She looked down at the" | | 16 | "She laughed, short and sharp." | | 17 | "His wedding band—long gone." | | 18 | "she shot back" | | 19 | "He met her eyes." |
| | ratio | 0.252 | |
| 66.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 103 | | matches | | 0 | "The neon sign buzzed like" | | 1 | "She hesitated, gloved fingers tightening" | | 2 | "The Raven’s Nest hadn’t changed—still" | | 3 | "She shook rain from her" | | 4 | "A man in the corner" | | 5 | "Rory slid onto a stool" | | 6 | "The wood beneath her palms" | | 7 | "Silas was pouring something that" | | 8 | "He turned slow, like his" | | 9 | "Hazel eyes flicked over her—black" | | 10 | "A scar she didn’t have" | | 11 | "The ring on his right" | | 12 | "Rory unzipped her bag." | | 13 | "He set the glass down." | | 14 | "The clock over the beer" | | 15 | "He tapped his own eyes" | | 16 | "She glanced away, fingers tracing" | | 17 | "Something to do with her" | | 18 | "Silas exhaled through his nose," | | 19 | "The word hung there, heavy" |
| | ratio | 0.786 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 103 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "The Raven’s Nest hadn’t changed—still that same rotten egg smell of stale beer and old carpet, still the hush that fell when the wrong sort walked in." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 2 | | fancyTags | | 0 | "she corrected (correct)" | | 1 | "she corrected (correct)" |
| | dialogueSentences | 83 | | tagDensity | 0.169 | | leniency | 0.337 | | rawRatio | 0.143 | | effectiveRatio | 0.048 | |