| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1056 | | 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) | |
| 57.39% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1056 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "silence" | | 3 | "echo" | | 4 | "searing" | | 5 | "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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1064 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 981 | | uniqueNames | 8 | | maxNameDensity | 1.22 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | November | 2 | | Richmond | 2 | | Park | 2 | | Heartstone | 1 | | Fae | 1 | | Grove | 1 | | London | 1 | | Rory | 12 |
| | persons | | | places | | 0 | "November" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Fae" | | 4 | "Grove" | | 5 | "London" |
| | globalScore | 0.888 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.94 | | wordCount | 1064 | | matches | | 0 | "not light but absence, a colour" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 31.29 | | std | 25.14 | | cv | 0.803 | | sampleLengths | | 0 | 56 | | 1 | 72 | | 2 | 90 | | 3 | 26 | | 4 | 3 | | 5 | 5 | | 6 | 66 | | 7 | 17 | | 8 | 60 | | 9 | 8 | | 10 | 59 | | 11 | 4 | | 12 | 58 | | 13 | 54 | | 14 | 9 | | 15 | 32 | | 16 | 22 | | 17 | 4 | | 18 | 7 | | 19 | 6 | | 20 | 66 | | 21 | 11 | | 22 | 34 | | 23 | 34 | | 24 | 13 | | 25 | 67 | | 26 | 11 | | 27 | 49 | | 28 | 35 | | 29 | 11 | | 30 | 17 | | 31 | 47 | | 32 | 3 | | 33 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 89 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 161 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 93 | | ratio | 0.075 | | matches | | 0 | "Aurora tucked her chin into her collar and checked the pendant at her throat — the Heartstone pulsed once, twice, a sluggish heartbeat against her skin." | | 1 | "The gate to the Fae Grove stood where it always had — a gap between two ancient oaks that shouldn't have existed." | | 2 | "Not behind clouds — it simply stopped existing above this pocket of earth." | | 3 | "The central altar — a flat slab of stone the colour of bruised meat — sat empty." | | 4 | "The air in front of her mouth fogged — but she wasn't cold." | | 5 | "She was tall — too tall, her proportions slightly wrong, her limbs longer than they should have been." | | 6 | "Her voice came from everywhere — from the stones, from the earth, from inside Rory's own skull." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 442 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.024886877828054297 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.004524886877828055 | |
| 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 | 11.44 | | std | 8.4 | | cv | 0.735 | | sampleLengths | | 0 | 21 | | 1 | 26 | | 2 | 1 | | 3 | 8 | | 4 | 11 | | 5 | 5 | | 6 | 23 | | 7 | 8 | | 8 | 10 | | 9 | 15 | | 10 | 22 | | 11 | 16 | | 12 | 25 | | 13 | 27 | | 14 | 8 | | 15 | 12 | | 16 | 6 | | 17 | 3 | | 18 | 5 | | 19 | 3 | | 20 | 13 | | 21 | 24 | | 22 | 26 | | 23 | 4 | | 24 | 2 | | 25 | 1 | | 26 | 10 | | 27 | 11 | | 28 | 17 | | 29 | 9 | | 30 | 20 | | 31 | 3 | | 32 | 8 | | 33 | 7 | | 34 | 11 | | 35 | 2 | | 36 | 9 | | 37 | 3 | | 38 | 27 | | 39 | 4 | | 40 | 2 | | 41 | 1 | | 42 | 14 | | 43 | 13 | | 44 | 5 | | 45 | 15 | | 46 | 8 | | 47 | 8 | | 48 | 18 | | 49 | 15 |
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| 52.69% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3870967741935484 | | totalSentences | 93 | | uniqueOpeners | 36 | |
| 80.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 83 | | matches | | 0 | "Instead, she found the silence" | | 1 | "Just the standing stones, their" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 83 | | matches | | 0 | "She'd come here because the" | | 1 | "She'd wandered inside, found the" | | 2 | "She'd come to see if" | | 3 | "She'd expected answers." | | 4 | "She checked the pendant again." | | 5 | "She took a step back" | | 6 | "Her lungs struggled to pull" | | 7 | "They hadn't been doing that" | | 8 | "She was sure of it." | | 9 | "She turned to leave." | | 10 | "She was tall — too" | | 11 | "Her skin caught the stone-light" | | 12 | "Her hair hung in sheets" | | 13 | "Her eyes had no whites," | | 14 | "Her mouth opened wider than" | | 15 | "Her voice came from everywhere" | | 16 | "She looked down." | | 17 | "She fumbled with the clasp," | | 18 | "She couldn't move." | | 19 | "Her hands froze at her" |
| | ratio | 0.265 | |
| 26.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 83 | | matches | | 0 | "The November wind whipped through" | | 1 | "Aurora tucked her chin into" | | 2 | "The deep crimson gem caught" | | 3 | "She'd come here because the" | | 4 | "That had never happened before." | | 5 | "Eva had told her not" | | 6 | "Silas had told her not" | | 7 | "The gate to the Fae" | | 8 | "The trees bent toward each" | | 9 | "Rory had found the place" | | 10 | "She'd wandered inside, found the" | | 11 | "Tonight, the air around the" | | 12 | "Static, like pressing her ear" | | 13 | "The hairs on her arms" | | 14 | "Rory stepped through." | | 15 | "The grove swallowed her whole." | | 16 | "The moon vanished." | | 17 | "The only light came from" | | 18 | "The wildflowers that should have" | | 19 | "The pendant pulsed harder." |
| | ratio | 0.867 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "If whatever had touched her" |
| | ratio | 0.012 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 5 | | matches | | 0 | "But the warmth had been insistent, a low-grade fever beneath her collarbone that demanded attention." | | 1 | "The only light came from the stones themselves, pale lichen that glowed with their own bioluminescence, casting everything in shades of bone and silver." | | 2 | "The wildflowers that should have been impossible in winter stretched toward her ankles, their petals too dark, too wet, like clots of dried blood given form." | | 3 | "Her mouth opened wider than a human jaw should open, revealing teeth that were too white, too many, arranged in rows that continued back into a throat that swal…" | | 4 | "She fumbled with the clasp, her fingers clumsy, her lungs screaming for air that had turned to vinegar." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "she reached out, her fingers brushing the cracked pendant," |
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| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Rory whispered (whisper)" |
| | dialogueSentences | 9 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.25 | | effectiveRatio | 0.222 | |