| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1102 | | 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) | |
| 22.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1102 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "flickered" | | 1 | "silence" | | 2 | "pulsed" | | 3 | "rhythmic" | | 4 | "throb" | | 5 | "warmth" | | 6 | "loomed" | | 7 | "sentinels" | | 8 | "searing" | | 9 | "echoed" | | 10 | "oppressive" | | 11 | "weight" | | 12 | "scanned" | | 13 | "footsteps" |
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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 | 106 | | matches | (empty) | |
| 88.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 106 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 6 | | totalWords | 1102 | | ratio | 0.005 | | matches | | 0 | "Schlick. Schlick. Schlick." | | 1 | "Tick-tock." | | 2 | "Schlick. Schlick." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1073 | | uniqueNames | 16 | | maxNameDensity | 0.93 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Richmond | 1 | | Park | 1 | | Heartstone | 2 | | Pendant | 2 | | Thames | 1 | | Fae | 1 | | Grove | 1 | | Guinness | 1 | | London | 1 | | Victorian | 1 | | Rory | 10 | | Carter | 1 | | Carters | 1 |
| | persons | | 0 | "Empress" | | 1 | "Yu-Fei" | | 2 | "Pendant" | | 3 | "Rory" | | 4 | "Carters" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Thames" | | 3 | "Fae" | | 4 | "Grove" | | 5 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 6 | | matches | | 0 | "felt like a held breath" | | 1 | "felt like a heartbeat" | | 2 | "sounded like glass rubbing against glass" | | 3 | "looked like people" | | 4 | "looked like it belonged in a museum of th" | | 5 | "sounded like a recording played at the wro" |
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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 | 1102 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 22.96 | | std | 15.59 | | cv | 0.679 | | sampleLengths | | 0 | 40 | | 1 | 33 | | 2 | 31 | | 3 | 5 | | 4 | 33 | | 5 | 34 | | 6 | 41 | | 7 | 3 | | 8 | 46 | | 9 | 16 | | 10 | 40 | | 11 | 15 | | 12 | 14 | | 13 | 1 | | 14 | 17 | | 15 | 49 | | 16 | 6 | | 17 | 40 | | 18 | 5 | | 19 | 58 | | 20 | 1 | | 21 | 13 | | 22 | 18 | | 23 | 30 | | 24 | 13 | | 25 | 31 | | 26 | 8 | | 27 | 44 | | 28 | 2 | | 29 | 29 | | 30 | 3 | | 31 | 30 | | 32 | 34 | | 33 | 37 | | 34 | 8 | | 35 | 22 | | 36 | 9 | | 37 | 4 | | 38 | 2 | | 39 | 47 | | 40 | 24 | | 41 | 32 | | 42 | 11 | | 43 | 49 | | 44 | 18 | | 45 | 21 | | 46 | 11 | | 47 | 24 |
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| 92.02% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 106 | | matches | | 0 | "been slammed" | | 1 | "been placed" | | 2 | "were twisted" | | 3 | "were carved" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 170 | | matches | | 0 | "was flattening" | | 1 | "were stepping" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 109 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 230 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.021739130434782608 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.004347826086956522 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 10.11 | | std | 6.47 | | cv | 0.64 | | sampleLengths | | 0 | 13 | | 1 | 27 | | 2 | 16 | | 3 | 2 | | 4 | 15 | | 5 | 7 | | 6 | 11 | | 7 | 13 | | 8 | 5 | | 9 | 17 | | 10 | 16 | | 11 | 9 | | 12 | 9 | | 13 | 16 | | 14 | 5 | | 15 | 10 | | 16 | 7 | | 17 | 19 | | 18 | 3 | | 19 | 28 | | 20 | 18 | | 21 | 3 | | 22 | 13 | | 23 | 10 | | 24 | 12 | | 25 | 18 | | 26 | 8 | | 27 | 7 | | 28 | 2 | | 29 | 1 | | 30 | 11 | | 31 | 1 | | 32 | 2 | | 33 | 12 | | 34 | 1 | | 35 | 1 | | 36 | 1 | | 37 | 10 | | 38 | 11 | | 39 | 12 | | 40 | 16 | | 41 | 6 | | 42 | 8 | | 43 | 6 | | 44 | 16 | | 45 | 10 | | 46 | 5 | | 47 | 12 | | 48 | 16 | | 49 | 14 |
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| 32.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.23853211009174313 | | totalSentences | 109 | | uniqueOpeners | 26 | |
| 71.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 93 | | matches | | 0 | "Only the grey stones and" | | 1 | "Only the distant, muffled sound" |
| | ratio | 0.022 | |
| 99.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 93 | | matches | | 0 | "She shouldn't have taken the" | | 1 | "It wasn't the gentle heat" | | 2 | "Her voice sounded flat, swallowed" | | 3 | "She pushed forward, the tyres" | | 4 | "They weren't just trees, they" | | 5 | "She had heard the rumours" | | 6 | "She had dismissed them as" | | 7 | "It was a vibrant, impossible" | | 8 | "It sounded like glass rubbing" | | 9 | "She stepped closer to the" | | 10 | "She whipped her head around." | | 11 | "They stood just beyond the" | | 12 | "They didn't move toward her," | | 13 | "She stumbled, her hand slapping" | | 14 | "She stared at it." | | 15 | "She didn't run, not yet." | | 16 | "She was a Carter, and" | | 17 | "She scanned the tree line," | | 18 | "It wasn't a human giggle," | | 19 | "It came from directly behind" |
| | ratio | 0.301 | |
| 35.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 93 | | matches | | 0 | "Rory gripped the handlebar of" | | 1 | "She shouldn't have taken the" | | 2 | "The bike's headlight flickered, casting" | | 3 | "The silence didn't feel like" | | 4 | "The Heartstone Pendant pulsed against" | | 5 | "A slow, rhythmic throb of" | | 6 | "It wasn't the gentle heat" | | 7 | "Her voice sounded flat, swallowed" | | 8 | "The mist clung to the" | | 9 | "She pushed forward, the tyres" | | 10 | "The manicured paths of the" | | 11 | "Rory slowed to a crawl." | | 12 | "They weren't just trees, they" | | 13 | "The Fae Grove." | | 14 | "She had heard the rumours" | | 15 | "She had dismissed them as" | | 16 | "The pendant surged." | | 17 | "A sharp, searing heat radiated" | | 18 | "Rory dismounted, leaving the bike" | | 19 | "The grass here didn't look" |
| | ratio | 0.849 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 93 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 3 | | matches | | 0 | "Her voice sounded flat, swallowed instantly by the dense fog that had rolled in from the Thames." | | 1 | "It was a vibrant, impossible emerald, dotted with small, translucent wildflowers that glowed with a faint, milky light." | | 2 | "They were stepping forward, their limbs too long, their joints bending at impossible angles." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |