| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 943 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 31.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 943 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "warmth" | | 1 | "stomach" | | 2 | "pulsed" | | 3 | "perfect" | | 4 | "dance" | | 5 | "fractured" | | 6 | "rhythmic" | | 7 | "silence" | | 8 | "pulse" | | 9 | "weight" | | 10 | "familiar" |
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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 | 119 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 119 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 13 | | totalWords | 942 | | ratio | 0.014 | | matches | | 0 | "You ok? Evan's asking about you." | | 1 | "Fine. Working late." | | 2 | "Come find me," | | 3 | "Please." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.24% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 924 | | uniqueNames | 12 | | maxNameDensity | 1.52 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 4 | | Rory | 14 | | Grove | 8 | | Golden | 2 | | Empress | 2 | | Yu-Fei | 2 | | Park | 1 | | November | 1 | | Isolde | 2 | | Eva | 2 | | Evan | 2 | | Cardiff | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Empress" | | 3 | "Yu-Fei" | | 4 | "Eva" | | 5 | "Evan" |
| | places | | 0 | "Grove" | | 1 | "Golden" | | 2 | "Park" | | 3 | "November" | | 4 | "Isolde" | | 5 | "Cardiff" |
| | globalScore | 0.742 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | 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 | 942 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 120 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 33.64 | | std | 22.42 | | cv | 0.667 | | sampleLengths | | 0 | 61 | | 1 | 53 | | 2 | 25 | | 3 | 68 | | 4 | 7 | | 5 | 61 | | 6 | 6 | | 7 | 37 | | 8 | 13 | | 9 | 9 | | 10 | 5 | | 11 | 62 | | 12 | 35 | | 13 | 47 | | 14 | 57 | | 15 | 9 | | 16 | 52 | | 17 | 62 | | 18 | 15 | | 19 | 5 | | 20 | 53 | | 21 | 23 | | 22 | 64 | | 23 | 9 | | 24 | 29 | | 25 | 21 | | 26 | 6 | | 27 | 48 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 165 | | matches | | 0 | "was guiding" | | 1 | "wasn't protecting" |
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| 71.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 120 | | ratio | 0.025 | | matches | | 0 | "Wildflowers crowded the edges of her vision—bluebells, foxgloves, things that glowed faintly silver under no moon she could find." | | 1 | "The Grove had rules she didn't know, and the Heartstone was her key, her map, her—" | | 2 | "Rory watched them rearrange into a pattern she almost recognised, almost—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 784 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.03188775510204082 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006377551020408163 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 7.85 | | std | 6.67 | | cv | 0.85 | | sampleLengths | | 0 | 12 | | 1 | 22 | | 2 | 10 | | 3 | 8 | | 4 | 9 | | 5 | 5 | | 6 | 5 | | 7 | 26 | | 8 | 3 | | 9 | 14 | | 10 | 2 | | 11 | 3 | | 12 | 9 | | 13 | 4 | | 14 | 1 | | 15 | 6 | | 16 | 6 | | 17 | 15 | | 18 | 11 | | 19 | 19 | | 20 | 8 | | 21 | 2 | | 22 | 7 | | 23 | 3 | | 24 | 1 | | 25 | 1 | | 26 | 2 | | 27 | 22 | | 28 | 10 | | 29 | 4 | | 30 | 12 | | 31 | 3 | | 32 | 10 | | 33 | 6 | | 34 | 2 | | 35 | 15 | | 36 | 10 | | 37 | 2 | | 38 | 3 | | 39 | 5 | | 40 | 3 | | 41 | 6 | | 42 | 4 | | 43 | 3 | | 44 | 4 | | 45 | 2 | | 46 | 5 | | 47 | 9 | | 48 | 19 | | 49 | 17 |
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| 44.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3277310924369748 | | totalSentences | 119 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 100 | | matches | | 0 | "She'd come to the Grove" | | 1 | "She'd told Yu-Fei she had" | | 2 | "She knew this." | | 3 | "She checked her phone." | | 4 | "She'd crossed the boundary at" | | 5 | "She stopped at the centre" | | 6 | "Her breath fogged." | | 7 | "Her phone buzzed." | | 8 | "She typed back: *Fine." | | 9 | "She followed its pull deeper" | | 10 | "They turned to face her" | | 11 | "It resumed, closer, from her" | | 12 | "She walked faster." | | 13 | "She told herself it was" | | 14 | "She saw only the angle" | | 15 | "Her voice cracked" | | 16 | "It had brought her here." | | 17 | "She heard breathing that wasn't" | | 18 | "She fell to her knees." | | 19 | "She didn't turn." |
| | ratio | 0.26 | |
| 30.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 100 | | matches | | 0 | "The Heartstone pendant hung against" | | 1 | "She'd come to the Grove" | | 2 | "The delivery shift at Golden" | | 3 | "She'd told Yu-Fei she had" | | 4 | "The lie sat in her" | | 5 | "Richmond Park swallowed her whole." | | 6 | "The oak standing stones rose" | | 7 | "Rory stepped through." | | 8 | "The air thickened, sweet and" | | 9 | "She knew this." | | 10 | "An hour inside could be" | | 11 | "She checked her phone." | | 12 | "She'd crossed the boundary at" | | 13 | "The Grove should have been" | | 14 | "Isolde's Grove, the locals called" | | 15 | "Rory walked the deer paths," | | 16 | "Wildflowers crowded the edges of" | | 17 | "The sky above showed stars," | | 18 | "The pendant pulsed." | | 19 | "She stopped at the centre" |
| | ratio | 0.86 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "The oak standing stones rose from the dark like broken teeth, and beyond them the clearing breathed with flowers that had no business blooming in November." | | 1 | "Wildflowers crowded the edges of her vision—bluebells, foxgloves, things that glowed faintly silver under no moon she could find." | | 2 | "The fingers were cold, impossibly cold, and they pressed down with the weight of something that had waited a long time for someone to come looking." | | 3 | "Her thumb moved without her permission, guided by something that wore her desperation like a familiar coat." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |