| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 621 | | 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) | |
| 19.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 621 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "loomed" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "trembled" | | 4 | "whisper" | | 5 | "throbbed" | | 6 | "crystallized" | | 7 | "familiar" | | 8 | "shattered" |
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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 | 61 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 61 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 12 | | totalWords | 624 | | ratio | 0.019 | | matches | | 0 | "Meet me at the Grove. Full moon. Bring the stone." | | 1 | "counting" | | 2 | "Laila." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 612 | | uniqueNames | 9 | | maxNameDensity | 1.14 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Fae | 1 | | Grove | 3 | | Park | 2 | | Eva | 2 | | Dresden | 1 | | Evan | 2 | | Richmond | 2 | | Rory | 7 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Evan" | | 3 | "Rory" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Park" | | 3 | "Dresden" | | 4 | "Richmond" |
| | globalScore | 0.928 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | 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 | 624 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 23.11 | | std | 18.39 | | cv | 0.796 | | sampleLengths | | 0 | 66 | | 1 | 15 | | 2 | 52 | | 3 | 49 | | 4 | 5 | | 5 | 42 | | 6 | 43 | | 7 | 40 | | 8 | 10 | | 9 | 29 | | 10 | 6 | | 11 | 5 | | 12 | 31 | | 13 | 4 | | 14 | 3 | | 15 | 44 | | 16 | 8 | | 17 | 35 | | 18 | 5 | | 19 | 2 | | 20 | 33 | | 21 | 11 | | 22 | 32 | | 23 | 2 | | 24 | 12 | | 25 | 30 | | 26 | 10 |
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| 93.76% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 61 | | matches | | 0 | "been delivered" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 104 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 61 | | ratio | 0.098 | | matches | | 0 | "A prickle ran up her bare arms — the evening had been balmy when she left Silas’ bar, but here the air carried the undertone of frost." | | 1 | "Beneath them, the earth exhaled — a moist, fungal breath that smelled of turned soil and something metallic." | | 2 | "Between two ancient oaks, something gleamed — a pale suggestion pressed against the dark bark." | | 3 | "She took a step back toward the standing stones—or where she thought they’d been." | | 4 | "Evan was dead — she’d watched the coroner zip the body bag herself after the train incident." | | 5 | "Milky fog coiled through the gaps, and suspended within it—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 620 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.025806451612903226 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0064516129032258064 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 61 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 61 | | mean | 10.23 | | std | 6.24 | | cv | 0.61 | | sampleLengths | | 0 | 15 | | 1 | 24 | | 2 | 27 | | 3 | 15 | | 4 | 14 | | 5 | 17 | | 6 | 21 | | 7 | 12 | | 8 | 16 | | 9 | 3 | | 10 | 18 | | 11 | 5 | | 12 | 12 | | 13 | 4 | | 14 | 16 | | 15 | 10 | | 16 | 11 | | 17 | 16 | | 18 | 16 | | 19 | 18 | | 20 | 2 | | 21 | 20 | | 22 | 7 | | 23 | 3 | | 24 | 15 | | 25 | 4 | | 26 | 5 | | 27 | 5 | | 28 | 2 | | 29 | 4 | | 30 | 5 | | 31 | 6 | | 32 | 2 | | 33 | 16 | | 34 | 7 | | 35 | 4 | | 36 | 3 | | 37 | 12 | | 38 | 10 | | 39 | 14 | | 40 | 8 | | 41 | 8 | | 42 | 3 | | 43 | 12 | | 44 | 3 | | 45 | 17 | | 46 | 5 | | 47 | 2 | | 48 | 16 | | 49 | 17 |
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| 63.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4426229508196721 | | totalSentences | 61 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 56 | | matches | | 0 | "Her sneakers crunched on fallen" | | 1 | "She jerked her hand back." | | 2 | "Her pendant throbbed again, hotter" | | 3 | "she called, though she knew" | | 4 | "She’d come because the message" | | 5 | "She felt it in the" | | 6 | "She took a step back" | | 7 | "Her childhood name." |
| | ratio | 0.143 | |
| 49.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 56 | | matches | | 0 | "The oak standing stones loomed" | | 1 | "Aurora Carter rubbed her left" | | 2 | "A prickle ran up her" | | 3 | "The pendant between her collarbones" | | 4 | "Her sneakers crunched on fallen" | | 5 | "Richmond Park should have been" | | 6 | "Wildflowers crowded the clearing, their" | | 7 | "Rory crouched, brushing fingertips against" | | 8 | "The flowers parted." | | 9 | "She jerked her hand back." | | 10 | "A whisper skittered across her" | | 11 | "Rory’s head snapped up." | | 12 | "Her pendant throbbed again, hotter" | | 13 | "Nothing moved except the swaying" | | 14 | "she called, though she knew" | | 15 | "Eva had moved on months" | | 16 | "Rory pressed the smooth stone" | | 17 | "She’d come because the message" | | 18 | "Another whisper, this time from" | | 19 | "Rory turned slowly." |
| | ratio | 0.821 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 3 | | matches | | 0 | "Rory crouched, brushing fingertips against a cluster of bluebells that trembled despite the absence of breeze." | | 1 | "Beneath them, the earth exhaled — a moist, fungal breath that smelled of turned soil and something metallic." | | 2 | "The pendant burned against her skin, its crimson glow casting monstrous shadows that scampered just beyond sight." |
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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 | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |