| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "she offered eventually [eventually]" |
| | dialogueSentences | 57 | | tagDensity | 0.246 | | leniency | 0.491 | | rawRatio | 0.071 | | effectiveRatio | 0.035 | |
| 96.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1322 | | totalAiIsmAdverbs | 1 | | 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) | |
| 81.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1322 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "silence" | | 1 | "eyebrow" | | 2 | "flicked" |
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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 | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1324 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 8 | | wordCount | 764 | | uniqueNames | 7 | | maxNameDensity | 0.26 | | worstName | "Nest" | | maxWindowNameDensity | 0.5 | | worstWindowName | "Nest" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Blackwood | 1 | | Customs | 1 | | Balkans | 1 | | Tuesday | 1 | | Started | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Blackwood" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1324 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 21.7 | | std | 23.32 | | cv | 1.074 | | sampleLengths | | 0 | 62 | | 1 | 12 | | 2 | 1 | | 3 | 51 | | 4 | 6 | | 5 | 26 | | 6 | 79 | | 7 | 2 | | 8 | 2 | | 9 | 22 | | 10 | 5 | | 11 | 4 | | 12 | 23 | | 13 | 4 | | 14 | 32 | | 15 | 12 | | 16 | 7 | | 17 | 17 | | 18 | 25 | | 19 | 38 | | 20 | 25 | | 21 | 12 | | 22 | 32 | | 23 | 8 | | 24 | 3 | | 25 | 1 | | 26 | 3 | | 27 | 14 | | 28 | 66 | | 29 | 9 | | 30 | 9 | | 31 | 18 | | 32 | 56 | | 33 | 8 | | 34 | 4 | | 35 | 14 | | 36 | 41 | | 37 | 10 | | 38 | 8 | | 39 | 11 | | 40 | 58 | | 41 | 10 | | 42 | 6 | | 43 | 57 | | 44 | 12 | | 45 | 101 | | 46 | 2 | | 47 | 2 | | 48 | 87 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 119 | | matches | (empty) | |
| 85.71% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 100 | | ratio | 0.02 | | matches | | 0 | "Behind him the neon buzzed; in front of him the girl from the photograph sat with a stranger's stillness and an eyebrow scar and hands that no longer shook." | | 1 | "He worked the key off the ring — his fingers knew the motion, had rehearsed it in the dark hours more than he would ever say — and set it on the wood between them, next to the ring of water her glass had left." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 763 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.02490170380078637 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002621231979030144 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 13.24 | | std | 10.98 | | cv | 0.829 | | sampleLengths | | 0 | 25 | | 1 | 26 | | 2 | 11 | | 3 | 4 | | 4 | 8 | | 5 | 1 | | 6 | 23 | | 7 | 6 | | 8 | 22 | | 9 | 6 | | 10 | 10 | | 11 | 16 | | 12 | 5 | | 13 | 5 | | 14 | 12 | | 15 | 22 | | 16 | 14 | | 17 | 21 | | 18 | 2 | | 19 | 2 | | 20 | 7 | | 21 | 15 | | 22 | 5 | | 23 | 4 | | 24 | 3 | | 25 | 20 | | 26 | 4 | | 27 | 22 | | 28 | 10 | | 29 | 6 | | 30 | 6 | | 31 | 7 | | 32 | 2 | | 33 | 2 | | 34 | 13 | | 35 | 8 | | 36 | 17 | | 37 | 29 | | 38 | 9 | | 39 | 15 | | 40 | 10 | | 41 | 12 | | 42 | 26 | | 43 | 6 | | 44 | 8 | | 45 | 3 | | 46 | 1 | | 47 | 3 | | 48 | 14 | | 49 | 12 |
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| 69.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.44 | | totalSentences | 100 | | uniqueOpeners | 44 | |
| 64.10% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 52 | | matches | | 0 | "Bright blue eyes that found" |
| | ratio | 0.019 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 52 | | matches | | 0 | "Her coat dripped onto the" | | 1 | "She laid her gloved hands" | | 2 | "He reached for the bottle" | | 3 | "She pushed back her hood." | | 4 | "She peeled off one glove," | | 5 | "He set the glass down" | | 6 | "His thumb found the silver" | | 7 | "He poured two." | | 8 | "His knee complained on the" | | 9 | "He lowered himself onto the" | | 10 | "She looked at her bare" | | 11 | "she offered eventually" | | 12 | "He turned his glass on" | | 13 | "She looked down at the" | | 14 | "She nodded slowly, and he" | | 15 | "she said, tilting her head" | | 16 | "She turned her glass a" | | 17 | "He clocked the way she'd" | | 18 | "She said it the way" | | 19 | "Her voice stayed level but" |
| | ratio | 0.635 | |
| 36.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 52 | | matches | | 0 | "Rain ticked against the windows" | | 1 | "Silas Blackwood counted the till" | | 2 | "The radio murmured shipping forecasts" | | 3 | "The door swung open." | | 4 | "The stranger crossed the room" | | 5 | "Her coat dripped onto the" | | 6 | "She laid her gloved hands" | | 7 | "He reached for the bottle" | | 8 | "The rain filled the silence." | | 9 | "She pushed back her hood." | | 10 | "A thin white line cut" | | 11 | "She peeled off one glove," | | 12 | "He set the glass down" | | 13 | "His thumb found the silver" | | 14 | "He poured two." | | 15 | "His knee complained on the" | | 16 | "He lowered himself onto the" | | 17 | "She looked at her bare" | | 18 | "The nails were short, filed," | | 19 | "Neither of them touched the" |
| | ratio | 0.846 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "Her voice stayed, the gloves crumpling in her fists" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 57 | | tagDensity | 0.07 | | leniency | 0.14 | | rawRatio | 0.25 | | effectiveRatio | 0.035 | |