| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1154 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 13.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1154 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "loomed" | | 1 | "chill" | | 2 | "lurch" | | 3 | "stomach" | | 4 | "silence" | | 5 | "warmth" | | 6 | "pulsed" | | 7 | "scanned" | | 8 | "echoed" | | 9 | "raced" | | 10 | "calculating" | | 11 | "vibrated" | | 12 | "weight" | | 13 | "flickered" | | 14 | "pulse" | | 15 | "shimmered" |
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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 | 121 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 121 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 133 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1154 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 65.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1068 | | uniqueNames | 9 | | maxNameDensity | 1.69 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Grove | 2 | | London | 1 | | Silas | 1 | | Richmond | 2 | | Heartstone | 3 | | Hel | 2 | | Eva | 5 | | Rory | 18 | | Park | 1 |
| | persons | | 0 | "Silas" | | 1 | "Heartstone" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | 0 | "Grove" | | 1 | "London" | | 2 | "Richmond" | | 3 | "Park" |
| | globalScore | 0.657 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like Eva, but stretched and distor" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.867 | | wordCount | 1154 | | matches | | 0 | "Not the quiet of an empty park, but a heavy, deadened void" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 133 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 23.55 | | std | 17.9 | | cv | 0.76 | | sampleLengths | | 0 | 79 | | 1 | 31 | | 2 | 56 | | 3 | 47 | | 4 | 1 | | 5 | 22 | | 6 | 57 | | 7 | 13 | | 8 | 27 | | 9 | 10 | | 10 | 12 | | 11 | 5 | | 12 | 30 | | 13 | 3 | | 14 | 34 | | 15 | 44 | | 16 | 7 | | 17 | 19 | | 18 | 3 | | 19 | 53 | | 20 | 20 | | 21 | 9 | | 22 | 32 | | 23 | 15 | | 24 | 3 | | 25 | 39 | | 26 | 15 | | 27 | 49 | | 28 | 8 | | 29 | 32 | | 30 | 3 | | 31 | 16 | | 32 | 33 | | 33 | 10 | | 34 | 17 | | 35 | 2 | | 36 | 27 | | 37 | 7 | | 38 | 20 | | 39 | 28 | | 40 | 52 | | 41 | 24 | | 42 | 25 | | 43 | 41 | | 44 | 3 | | 45 | 31 | | 46 | 7 | | 47 | 30 | | 48 | 3 |
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| 99.46% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 121 | | matches | | 0 | "was scarred" | | 1 | "were flattened" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 180 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 133 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1071 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "high, grating against her" |
| | adverbCount | 23 | | adverbRatio | 0.021475256769374416 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004668534080298786 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 133 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 133 | | mean | 8.68 | | std | 4.89 | | cv | 0.563 | | sampleLengths | | 0 | 16 | | 1 | 14 | | 2 | 3 | | 3 | 18 | | 4 | 10 | | 5 | 18 | | 6 | 8 | | 7 | 5 | | 8 | 18 | | 9 | 10 | | 10 | 5 | | 11 | 2 | | 12 | 7 | | 13 | 3 | | 14 | 8 | | 15 | 21 | | 16 | 6 | | 17 | 18 | | 18 | 10 | | 19 | 13 | | 20 | 1 | | 21 | 2 | | 22 | 12 | | 23 | 3 | | 24 | 5 | | 25 | 7 | | 26 | 11 | | 27 | 3 | | 28 | 14 | | 29 | 8 | | 30 | 14 | | 31 | 13 | | 32 | 9 | | 33 | 18 | | 34 | 10 | | 35 | 3 | | 36 | 9 | | 37 | 5 | | 38 | 6 | | 39 | 9 | | 40 | 10 | | 41 | 5 | | 42 | 3 | | 43 | 7 | | 44 | 4 | | 45 | 7 | | 46 | 7 | | 47 | 9 | | 48 | 5 | | 49 | 7 |
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| 34.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.23308270676691728 | | totalSentences | 133 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 114 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 114 | | matches | | 0 | "She pulled her mobile from" | | 1 | "She looked up." | | 2 | "She shoved the phone away" | | 3 | "Her left thumb brushed the" | | 4 | "She walked deeper into the" | | 5 | "She lowered the torch." | | 6 | "She pinched the thumbnail-sized artifact." | | 7 | "Her mind raced, calculating distances" | | 8 | "It sounded like Eva, but" | | 9 | "It swung against her chest," | | 10 | "It landed ten feet away" | | 11 | "It rose, unfolding into a" | | 12 | "It lacked a face, presenting" | | 13 | "She backed away." | | 14 | "Her heel struck a stone." | | 15 | "She scrambled to her feet," | | 16 | "It ripped its arm from" | | 17 | "She ignored the pain, keeping" | | 18 | "Its limbs bent at impossible" | | 19 | "It scuttled forward, closing the" |
| | ratio | 0.175 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 114 | | matches | | 0 | "The ancient oak standing stones" | | 1 | "Rory ducked beneath the lowest" | | 2 | "The air shifted." | | 3 | "The distant rumble of London" | | 4 | "Moonlight filtered through the dense" | | 5 | "Bluebells and foxgloves bloomed in" | | 6 | "She pulled her mobile from" | | 7 | "The screen displayed zero bars." | | 8 | "The battery indicator, full when" | | 9 | "Rory tapped the glass" | | 10 | "The digital clock read 00:01." | | 11 | "The digits scrambled and settled" | | 12 | "She looked up." | | 13 | "The moon hung directly overhead," | | 14 | "A second later, the shadows" | | 15 | "Time moved differently inside the" | | 16 | "The local legends spoke of" | | 17 | "She shoved the phone away" | | 18 | "The white beam cut through" | | 19 | "Rory adjusted her grip on" |
| | ratio | 0.965 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 114 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 2 | | matches | | 0 | "It swung against her chest, emitting a faint inner glow that cast a bloody hue over her jacket." | | 1 | "The fingers stretched into sharp, wooden spikes that dripped with the same amber sap weeping from the trees." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory kept, her thumb rubbing her wrist scar" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |