| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 77.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1114 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "quickly" | | 1 | "gently" | | 2 | "slowly" | | 3 | "suddenly" | | 4 | "deliberately" |
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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) | |
| 32.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1114 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulsed" | | 1 | "tracing" | | 2 | "throb" | | 3 | "vibrated" | | 4 | "pulse" | | 5 | "flicker" | | 6 | "scanned" | | 7 | "intensity" | | 8 | "whisper" | | 9 | "silence" | | 10 | "glistening" | | 11 | "could feel" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 128 | | matches | (empty) | |
| 75.89% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 128 | | filterMatches | | | hedgeMatches | | 0 | "began to" | | 1 | "seemed to" | | 2 | "tried to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1112 | | ratio | 0.003 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 1064 | | uniqueNames | 9 | | maxNameDensity | 0.28 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Hemlock" | | discoveredNames | | Aurora | 3 | | Richmond | 1 | | Park | 1 | | Man | 1 | | Hemlock | 3 | | Heartstone | 3 | | Pendant | 1 | | Grove | 3 | | Eva | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Hemlock" | | 2 | "Heartstone" | | 3 | "Pendant" | | 4 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 5 | | matches | | 0 | "quite moonlight" | | 1 | "felt like she’d been walking for an hou" | | 2 | "felt like entire afternoons" | | 3 | "It was as if they were deliberately obstructing her way" | | 4 | "limbs that seemed to bend at unnatural angles" |
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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 | 1112 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 132 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 37.07 | | std | 18.56 | | cv | 0.501 | | sampleLengths | | 0 | 82 | | 1 | 64 | | 2 | 50 | | 3 | 58 | | 4 | 46 | | 5 | 72 | | 6 | 45 | | 7 | 40 | | 8 | 36 | | 9 | 27 | | 10 | 38 | | 11 | 32 | | 12 | 40 | | 13 | 1 | | 14 | 47 | | 15 | 40 | | 16 | 9 | | 17 | 15 | | 18 | 22 | | 19 | 50 | | 20 | 39 | | 21 | 29 | | 22 | 45 | | 23 | 3 | | 24 | 30 | | 25 | 19 | | 26 | 38 | | 27 | 52 | | 28 | 25 | | 29 | 18 |
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| 97.04% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 128 | | matches | | 0 | "were hidden" | | 1 | "been left" | | 2 | "were coated" |
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| 85.06% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 174 | | matches | | 0 | "was cloying" | | 1 | "was letting" | | 2 | "was burning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 132 | | ratio | 0.008 | | matches | | 0 | "She could almost make out a form now – a slender figure, impossibly tall, with limbs that seemed to bend at unnatural angles." |
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| 65.13% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1066 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 74 | | adverbRatio | 0.06941838649155722 | | lyAdverbCount | 33 | | lyAdverbRatio | 0.03095684803001876 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 8.42 | | std | 5.5 | | cv | 0.653 | | sampleLengths | | 0 | 23 | | 1 | 5 | | 2 | 13 | | 3 | 4 | | 4 | 8 | | 5 | 19 | | 6 | 2 | | 7 | 8 | | 8 | 11 | | 9 | 15 | | 10 | 29 | | 11 | 9 | | 12 | 4 | | 13 | 10 | | 14 | 16 | | 15 | 2 | | 16 | 6 | | 17 | 4 | | 18 | 8 | | 19 | 6 | | 20 | 16 | | 21 | 14 | | 22 | 8 | | 23 | 14 | | 24 | 14 | | 25 | 9 | | 26 | 18 | | 27 | 3 | | 28 | 2 | | 29 | 15 | | 30 | 5 | | 31 | 2 | | 32 | 10 | | 33 | 10 | | 34 | 3 | | 35 | 2 | | 36 | 25 | | 37 | 12 | | 38 | 10 | | 39 | 11 | | 40 | 12 | | 41 | 5 | | 42 | 10 | | 43 | 5 | | 44 | 3 | | 45 | 1 | | 46 | 16 | | 47 | 16 | | 48 | 6 | | 49 | 7 |
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| 51.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3560606060606061 | | totalSentences | 132 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 11 | | totalSentences | 110 | | matches | | 0 | "Just the crunch of gravel" | | 1 | "Usually, after a frost, the" | | 2 | "Instead, a subtle feeling of" | | 3 | "Too deliberate for the wind." | | 4 | "Just the insistent hum of" | | 5 | "Just beyond the ring of" | | 6 | "Too tall, too slender to" | | 7 | "Only the whistling, and the" | | 8 | "Of course not." | | 9 | "Then, a voice." | | 10 | "Then, everything went cold." |
| | ratio | 0.1 | |
| 30.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 52 | | totalSentences | 110 | | matches | | 0 | "It was well past midnight." | | 1 | "She hadn’t expected it to" | | 2 | "She’d come here looking for" | | 3 | "He’d pressed the Heartstone Pendant" | | 4 | "She touched it, tracing the" | | 5 | "It had been doing that" | | 6 | "They were hidden amongst a" | | 7 | "She found the entrance to" | | 8 | "It was cloying, artificial, like" | | 9 | "It was beautiful." | | 10 | "She glanced at her watch." | | 11 | "It felt like she’d been" | | 12 | "She remembered Eva recounting stories" | | 13 | "She walked deeper into the" | | 14 | "She’d been hoping for some" | | 15 | "It started with a sound." | | 16 | "She stopped, listening." | | 17 | "She told herself it was" | | 18 | "She wasn’t alone." | | 19 | "She walked further, examining the" |
| | ratio | 0.473 | |
| 73.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 110 | | matches | | 0 | "The wrought iron gate groaned" | | 1 | "It was well past midnight." | | 2 | "The air hung thick and" | | 3 | "something floral, unseasonably sweet." | | 4 | "She hadn’t expected it to" | | 5 | "She’d come here looking for" | | 6 | "He’d pressed the Heartstone Pendant" | | 7 | "The pendant pulsed faintly." | | 8 | "She touched it, tracing the" | | 9 | "It had been doing that" | | 10 | "The standing stones weren’t immediately" | | 11 | "They were hidden amongst a" | | 12 | "She found the entrance to" | | 13 | "The air grew colder, the" | | 14 | "It was cloying, artificial, like" | | 15 | "The clearing within was a" | | 16 | "Here, they swayed gently in" | | 17 | "It was beautiful." | | 18 | "Aurora ran a hand through" | | 19 | "She glanced at her watch." |
| | ratio | 0.773 | |
| 45.45% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 110 | | matches | | 0 | "Even on weeknights the park" |
| | ratio | 0.009 | |
| 65.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 5 | | matches | | 0 | "It had been doing that more frequently lately, a subtle throb that vibrated against her sternum." | | 1 | "Here, they swayed gently in a non-existent breeze, their petals dusted with a luminescence that wasn't quite moonlight." | | 2 | "She remembered Eva recounting stories of slipping into the Grove as a teenager, losing track of minutes that stretched into what felt like entire afternoons." | | 3 | "Only the whistling, and the rustling in the undergrowth, which had grown closer." | | 4 | "She could almost make out a form now – a slender figure, impossibly tall, with limbs that seemed to bend at unnatural angles." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "He’d, the crimson gemstone warm against her skin" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 8 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 1 | | effectiveRatio | 0.25 | |