| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.8 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 957 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "gently" | | 1 | "slowly" | | 2 | "suddenly" | | 3 | "truly" |
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| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 957 | | totalAiIsms | 29 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "solace" | | 1 | "whisper" | | 2 | "chill" | | 3 | "warmth" | | 4 | "beacon" | | 5 | "scanned" | | 6 | "familiar" | | 7 | "pounding" | | 8 | "measured" | | 9 | "footfall" | | 10 | "echoed" | | 11 | "flicker" | | 12 | "amidst" | | 13 | "pulsed" | | 14 | "flickered" | | 15 | "racing" | | 16 | "silence" | | 17 | "raced" | | 18 | "echoing" | | 19 | "footsteps" | | 20 | "could feel" |
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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 | 2 | | narrationSentences | 92 | | matches | | 0 | "y with warmth" | | 1 | "g in surprise" |
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| 96.27% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 92 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 952 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 933 | | uniqueNames | 12 | | maxNameDensity | 1.5 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Heartstone" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Aurora | 14 | | Carter | 1 | | Fae | 3 | | Grove | 1 | | Heartstone | 12 | | Pendant | 1 | | Earth | 1 | | Eva | 1 | | Silence | 1 | | Fae-touched | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Heartstone" | | 3 | "Eva" | | 4 | "Silence" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" |
| | globalScore | 0.75 | | windowScore | 0.667 | |
| 85.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 2 | | matches | | 0 | "sigh that seemed to carry whispers on its breath" | | 1 | "pits that seemed to swallow the light" |
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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 | 952 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 93 | | matches | | |
| 44.27% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 50.11 | | std | 15.28 | | cv | 0.305 | | sampleLengths | | 0 | 95 | | 1 | 77 | | 2 | 67 | | 3 | 40 | | 4 | 37 | | 5 | 53 | | 6 | 59 | | 7 | 41 | | 8 | 35 | | 9 | 48 | | 10 | 49 | | 11 | 41 | | 12 | 51 | | 13 | 36 | | 14 | 38 | | 15 | 45 | | 16 | 54 | | 17 | 52 | | 18 | 34 |
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| 90.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 92 | | matches | | 0 | "was known" | | 1 | "was gone" | | 2 | "was twisted" | | 3 | "was changed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 164 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 93 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 938 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03837953091684435 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010660980810234541 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 10.24 | | std | 5.5 | | cv | 0.538 | | sampleLengths | | 0 | 26 | | 1 | 23 | | 2 | 17 | | 3 | 29 | | 4 | 18 | | 5 | 16 | | 6 | 22 | | 7 | 21 | | 8 | 6 | | 9 | 9 | | 10 | 15 | | 11 | 15 | | 12 | 16 | | 13 | 5 | | 14 | 1 | | 15 | 3 | | 16 | 8 | | 17 | 7 | | 18 | 2 | | 19 | 11 | | 20 | 9 | | 21 | 10 | | 22 | 16 | | 23 | 10 | | 24 | 1 | | 25 | 10 | | 26 | 6 | | 27 | 6 | | 28 | 9 | | 29 | 6 | | 30 | 8 | | 31 | 8 | | 32 | 13 | | 33 | 7 | | 34 | 8 | | 35 | 17 | | 36 | 9 | | 37 | 5 | | 38 | 9 | | 39 | 11 | | 40 | 6 | | 41 | 15 | | 42 | 7 | | 43 | 8 | | 44 | 10 | | 45 | 10 | | 46 | 4 | | 47 | 12 | | 48 | 13 | | 49 | 6 |
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| 37.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2903225806451613 | | totalSentences | 93 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 87 | | matches | | 0 | "Just the wind, a constant," | | 1 | "Suddenly, the wind picked up," | | 2 | "Then, she saw it." |
| | ratio | 0.034 | |
| 3.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 87 | | matches | | 0 | "She'd come here seeking solace," | | 1 | "She clutched the Heartstone Pendant" | | 2 | "She'd felt its tug, a" | | 3 | "She'd been here before, with" | | 4 | "She turned slowly, eyes searching" | | 5 | "She took a deep breath," | | 6 | "she muttered, her voice barely" | | 7 | "She started walking again, her" | | 8 | "She'd explore, find the source" | | 9 | "She whirled around, her eyes" | | 10 | "She blinked, and it was" | | 11 | "She took a step forward," | | 12 | "Her voice echoed, swallowed by" | | 13 | "She moved towards it, her" | | 14 | "It pulsed, like the Heartstone," | | 15 | "She reached out, her fingers" | | 16 | "They were warm, almost feverish." | | 17 | "She fumbled for the Heartstone," | | 18 | "she demanded, her voice steadier" | | 19 | "It was humanoid, but wrong," |
| | ratio | 0.54 | |
| 23.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 87 | | matches | | 0 | "The Fae Grove, as it" | | 1 | "She'd come here seeking solace," | | 2 | "The moon hung heavy and" | | 3 | "Aurora's breath misted in the" | | 4 | "She clutched the Heartstone Pendant" | | 5 | "She'd felt its tug, a" | | 6 | "The grove was silent, too" | | 7 | "Aurora's bright blue eyes scanned" | | 8 | "She'd been here before, with" | | 9 | "A twig snapped." | | 10 | "Aurora froze, her heart pounding" | | 11 | "She turned slowly, eyes searching" | | 12 | "She took a deep breath," | | 13 | "she muttered, her voice barely" | | 14 | "She started walking again, her" | | 15 | "The grove was large, but" | | 16 | "She'd explore, find the source" | | 17 | "Another sound echoed through the" | | 18 | "Aurora's breath caught in her" | | 19 | "She whirled around, her eyes" |
| | ratio | 0.874 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | 0 | "Yet, as she stepped into" |
| | ratio | 0.011 | |
| 3.11% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 9 | | matches | | 0 | "She'd felt its tug, a subtle pull that had led her here, to this pocket between Earth and the Fae realm." | | 1 | "She'd been here before, with Eva, her childhood friend who'd introduced her to the grove's mysteries." | | 2 | "Its mouth was twisted into a snarl, revealing teeth that were too sharp, too numerous." | | 3 | "She'd heard stories, tales of Fae-touched creatures that dwelled in the grove." | | 4 | "It yelped, a sound that was half-scream, half-howl, and stumbled back." | | 5 | "She turned and ran, her heart pounding in her chest, her breath coming in ragged gasps." | | 6 | "She could hear the creature behind her, its growls echoing through the grove, its footsteps pounding on the earth." | | 7 | "She pushed herself harder, her eyes fixed on the ancient oaks that marked the grove's edge." | | 8 | "She stumbled through the portal, her breath coming in ragged gasps, her heart pounding in her chest." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 3 | | matches | | 0 | "she muttered, her voice barely audible" | | 1 | "she demanded, her voice steadier than she felt" | | 2 | "she said, her voice steady despite the fear coursing through her veins" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she demanded (demand)" |
| | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.667 | | effectiveRatio | 0.667 | |