| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 86.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1095 | | totalAiIsmAdverbs | 3 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1095 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "echoed" | | 1 | "rhythmic" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "searing" | | 5 | "silence" | | 6 | "weight" | | 7 | "tracing" | | 8 | "racing" | | 9 | "intensity" | | 10 | "shimmered" | | 11 | "flickered" | | 12 | "dance" | | 13 | "raced" | | 14 | "navigated" | | 15 | "pulse" | | 16 | "looming" | | 17 | "sentinels" | | 18 | "dancing" |
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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 | 91 | | matches | (empty) | |
| 48.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 91 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | 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 | 1095 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1067 | | uniqueNames | 7 | | maxNameDensity | 0.75 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 8 | | Heartstone | 5 | | Fae | 1 | | Grove | 1 | | London | 2 | | Richmond | 1 | | Evan | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Evan" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "London" | | 3 | "Richmond" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 5 | | matches | | 0 | "felt like a countdown" | | 1 | "sounded like her own, yet the cadence was" | | 2 | "wood that seemed to constrict with every breath she took" | | 3 | "silhouette that seemed to absorb the glow rather than reflect it" | | 4 | "chanting that seemed to rise from the very earth" |
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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 | 1095 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 25.47 | | std | 20.05 | | cv | 0.787 | | sampleLengths | | 0 | 40 | | 1 | 55 | | 2 | 69 | | 3 | 55 | | 4 | 19 | | 5 | 55 | | 6 | 7 | | 7 | 18 | | 8 | 2 | | 9 | 4 | | 10 | 39 | | 11 | 7 | | 12 | 47 | | 13 | 45 | | 14 | 3 | | 15 | 25 | | 16 | 28 | | 17 | 4 | | 18 | 26 | | 19 | 2 | | 20 | 55 | | 21 | 39 | | 22 | 4 | | 23 | 40 | | 24 | 2 | | 25 | 11 | | 26 | 49 | | 27 | 28 | | 28 | 2 | | 29 | 20 | | 30 | 2 | | 31 | 16 | | 32 | 40 | | 33 | 44 | | 34 | 11 | | 35 | 3 | | 36 | 7 | | 37 | 49 | | 38 | 47 | | 39 | 8 | | 40 | 3 | | 41 | 47 | | 42 | 18 |
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| 97.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 91 | | matches | | 0 | "was accompanied" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 177 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 100 | | ratio | 0.01 | | matches | | 0 | "The gem was no longer pulsing; it was vibrating, a frantic, high-pitched tremor that sent shocks of heat through her chest." |
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| 76.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1072 | | adjectiveStacks | 4 | | stackExamples | | 0 | "small, crescent-shaped scar" | | 1 | "pressing against dry wood." | | 2 | "frantic, high-pitched tremor" | | 3 | "thin, bark-skinned figures" |
| | adverbCount | 33 | | adverbRatio | 0.030783582089552237 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009328358208955223 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 10.95 | | std | 6.47 | | cv | 0.591 | | sampleLengths | | 0 | 15 | | 1 | 4 | | 2 | 21 | | 3 | 7 | | 4 | 24 | | 5 | 24 | | 6 | 12 | | 7 | 12 | | 8 | 15 | | 9 | 17 | | 10 | 13 | | 11 | 15 | | 12 | 7 | | 13 | 5 | | 14 | 15 | | 15 | 4 | | 16 | 2 | | 17 | 7 | | 18 | 6 | | 19 | 13 | | 20 | 4 | | 21 | 23 | | 22 | 15 | | 23 | 13 | | 24 | 7 | | 25 | 2 | | 26 | 16 | | 27 | 2 | | 28 | 4 | | 29 | 7 | | 30 | 16 | | 31 | 6 | | 32 | 10 | | 33 | 7 | | 34 | 15 | | 35 | 13 | | 36 | 19 | | 37 | 4 | | 38 | 4 | | 39 | 17 | | 40 | 20 | | 41 | 3 | | 42 | 10 | | 43 | 15 | | 44 | 2 | | 45 | 17 | | 46 | 9 | | 47 | 4 | | 48 | 7 | | 49 | 19 |
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| 30.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.26 | | totalSentences | 100 | | uniqueOpeners | 26 | |
| 37.88% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 88 | | matches | | 0 | "Pale, translucent petals shimmered in" |
| | ratio | 0.011 | |
| 65.45% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 88 | | matches | | 0 | "She didn't look back." | | 1 | "Its deep crimson glow bled" | | 2 | "She skidded to a halt," | | 3 | "It was a thick, suffocating" | | 4 | "She forced her racing heart" | | 5 | "It was a phenomenon, not" | | 6 | "It was cloyingly sweet, like" | | 7 | "She turned her head." | | 8 | "They looked less like flora" | | 9 | "She checked her watch." | | 10 | "It was three hours ahead" | | 11 | "It was a sharp, decisive" | | 12 | "She reached into her pocket," | | 13 | "It felt pitifully small against" | | 14 | "It didn't come from the" | | 15 | "It was tall, impossibly thin," | | 16 | "It didn't walk so much" | | 17 | "She stumbled, the Heartstone thudding" | | 18 | "It stood at the edge" | | 19 | "It possessed no face, only" |
| | ratio | 0.386 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 88 | | matches | | 0 | "The silver chain bit into" | | 1 | "She didn't look back." | | 2 | "The frantic rhythm of her" | | 3 | "The Heartstone pendant pulsed against" | | 4 | "Its deep crimson glow bled" | | 5 | "The warmth of the gem" | | 6 | "She skidded to a halt," | | 7 | "The silence of the Fae" | | 8 | "It was a thick, suffocating" | | 9 | "Aurora gripped the pendant, her" | | 10 | "She forced her racing heart" | | 11 | "Logic demanded a rational explanation." | | 12 | "The grove existed in a" | | 13 | "Displacement, the books said." | | 14 | "It was a phenomenon, not" | | 15 | "A scent drifted through the" | | 16 | "It was cloyingly sweet, like" | | 17 | "She turned her head." | | 18 | "The wildflowers beneath the ancient" | | 19 | "They looked less like flora" |
| | ratio | 0.909 | |
| 56.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 88 | | matches | | 0 | "Now, the trees formed a" |
| | ratio | 0.011 | |
| 48.52% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 7 | | matches | | 0 | "The frantic rhythm of her boots against the damp earth echoed too loudly, a rhythmic thud-thud that felt like a countdown." | | 1 | "The oaks leaned inward, creating a claustrophobic ribcage of wood that seemed to constrict with every breath she took." | | 2 | "The numbers spun in a frantic, meaningless dance before settling on a time that made no sense." | | 3 | "It was tall, impossibly thin, and moved with a jerky, staccato motion that defied human anatomy." | | 4 | "It didn't walk so much as it unfolded, its limbs lengthening and shortening with each frantic stride." | | 5 | "The gem was no longer pulsing; it was vibrating, a frantic, high-pitched tremor that sent shocks of heat through her chest." | | 6 | "The milky light in its eye-pits flared, casting long, dancing shadows that raced across the clearing." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |