| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2551 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "gently" | | 1 | "truly" | | 2 | "softly" |
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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) | |
| 49.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2551 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "pulse" | | 1 | "tracing" | | 2 | "echo" | | 3 | "trembled" | | 4 | "stomach" | | 5 | "lurched" | | 6 | "whisper" | | 7 | "pulsed" | | 8 | "silence" | | 9 | "perfect" | | 10 | "familiar" | | 11 | "throb" | | 12 | "raced" | | 13 | "silk" | | 14 | "warmth" | | 15 | "racing" | | 16 | "vibrated" | | 17 | "stark" | | 18 | "fractured" | | 19 | "footfall" |
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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 | 300 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 300 | | filterMatches | (empty) | | hedgeMatches | | 0 | "tried to" | | 1 | "began to" | | 2 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 311 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 22 | | totalWords | 2551 | | ratio | 0.009 | | matches | | 0 | "Grove tonight. Alone." | | 1 | "They took the wrong girl. The grove remembers. Run before it chooses again." | | 2 | "Stay. Remember. We kept her safe." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 2397 | | uniqueNames | 11 | | maxNameDensity | 1.04 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 2 | | November | 2 | | Rory | 2 | | Carter | 1 | | French | 1 | | Aurora | 25 | | Eva | 12 | | Eva-thing | 5 | | Richmond | 1 | | Park | 1 | | Blood | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Carter" | | 3 | "Aurora" | | 4 | "Eva" | | 5 | "Eva-thing" | | 6 | "Blood" |
| | places | | 0 | "November" | | 1 | "Richmond" | | 2 | "Park" |
| | globalScore | 0.979 | | windowScore | 0.833 | |
| 79.78% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 178 | | glossingSentenceCount | 5 | | matches | | 0 | "seemed farther apart now, the gaps between them stretched like mocking smiles" | | 1 | "fingers that seemed to pull shadows toward it rather than dispel them" | | 2 | "as though trying to drag her forward" | | 3 | "felt like having a hook set behind her" | | 4 | "felt like frostbite and silk at once" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.392 | | wordCount | 2551 | | matches | | 0 | "not earth but starless night" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 311 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 86 | | mean | 29.66 | | std | 17.21 | | cv | 0.58 | | sampleLengths | | 0 | 42 | | 1 | 58 | | 2 | 5 | | 3 | 47 | | 4 | 9 | | 5 | 20 | | 6 | 70 | | 7 | 15 | | 8 | 49 | | 9 | 47 | | 10 | 7 | | 11 | 47 | | 12 | 45 | | 13 | 37 | | 14 | 6 | | 15 | 25 | | 16 | 43 | | 17 | 13 | | 18 | 44 | | 19 | 46 | | 20 | 65 | | 21 | 5 | | 22 | 59 | | 23 | 54 | | 24 | 2 | | 25 | 51 | | 26 | 6 | | 27 | 34 | | 28 | 44 | | 29 | 50 | | 30 | 10 | | 31 | 32 | | 32 | 58 | | 33 | 29 | | 34 | 72 | | 35 | 1 | | 36 | 14 | | 37 | 29 | | 38 | 24 | | 39 | 63 | | 40 | 32 | | 41 | 33 | | 42 | 10 | | 43 | 37 | | 44 | 40 | | 45 | 28 | | 46 | 22 | | 47 | 25 | | 48 | 24 | | 49 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 300 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 419 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 311 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2328 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 87 | | adverbRatio | 0.037371134020618556 | | lyAdverbCount | 26 | | lyAdverbRatio | 0.011168384879725086 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 311 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 311 | | mean | 8.2 | | std | 5.56 | | cv | 0.677 | | sampleLengths | | 0 | 11 | | 1 | 18 | | 2 | 13 | | 3 | 11 | | 4 | 19 | | 5 | 4 | | 6 | 24 | | 7 | 5 | | 8 | 3 | | 9 | 5 | | 10 | 14 | | 11 | 7 | | 12 | 18 | | 13 | 9 | | 14 | 6 | | 15 | 2 | | 16 | 2 | | 17 | 10 | | 18 | 10 | | 19 | 19 | | 20 | 22 | | 21 | 8 | | 22 | 6 | | 23 | 5 | | 24 | 2 | | 25 | 5 | | 26 | 8 | | 27 | 5 | | 28 | 1 | | 29 | 18 | | 30 | 6 | | 31 | 9 | | 32 | 3 | | 33 | 7 | | 34 | 15 | | 35 | 4 | | 36 | 11 | | 37 | 17 | | 38 | 7 | | 39 | 6 | | 40 | 2 | | 41 | 15 | | 42 | 3 | | 43 | 8 | | 44 | 13 | | 45 | 5 | | 46 | 13 | | 47 | 13 | | 48 | 9 | | 49 | 5 |
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| 39.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 33 | | diversityRatio | 0.2990353697749196 | | totalSentences | 311 | | uniqueOpeners | 93 | |
| 90.79% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 257 | | matches | | 0 | "Only the stones stared back," | | 1 | "Too warm for November air" | | 2 | "Instead it clarified, became a" | | 3 | "Too many eyes." | | 4 | "Only when she reached the" | | 5 | "Just ordinary oaks and bracken" | | 6 | "Only a faint crimson glow" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 70 | | totalSentences | 257 | | matches | | 0 | "She had not expected the" | | 1 | "Their petals brushed her jeans" | | 2 | "She tightened her grip on" | | 3 | "She whipped around." | | 4 | "Her scar itched beneath the" | | 5 | "She had come because the" | | 6 | "Her torch beam swept left." | | 7 | "She forced her breathing to" | | 8 | "She crossed to the largest" | | 9 | "She staggered back." | | 10 | "Their stalks bent in unnatural" | | 11 | "Her torch picked out a" | | 12 | "It had not been there" | | 13 | "She would have sworn it." | | 14 | "Its lid bore no latch," | | 15 | "she told herself" | | 16 | "She recognised the handwriting at" | | 17 | "*They took the wrong girl." | | 18 | "She spun the torch in" | | 19 | "She could have reached out" |
| | ratio | 0.272 | |
| 47.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 212 | | totalSentences | 257 | | matches | | 0 | "Aurora shoved aside the low-hanging" | | 1 | "The Heartstone pendant burned against" | | 2 | "She had not expected the" | | 3 | "Moonlight silvered the wildflowers that" | | 4 | "Their petals brushed her jeans" | | 5 | "Something sweet, almost rotten." | | 6 | "She tightened her grip on" | | 7 | "A twig snapped behind her." | | 8 | "She whipped around." | | 9 | "The beam sliced empty air." | | 10 | "Her scar itched beneath the" | | 11 | "The words died against the" | | 12 | "The grove swallowed sound the" | | 13 | "She had come because the" | | 14 | "Eva’s last text had simply" | | 15 | "Aurora had not slept since." | | 16 | "A wet shift, like meat" | | 17 | "Her torch beam swept left." | | 18 | "The flowers stood motionless, yet" | | 19 | "She forced her breathing to" |
| | ratio | 0.825 | |
| 38.91% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 257 | | matches | | 0 | "Before she could wipe it" | | 1 | "As though it belonged to" |
| | ratio | 0.008 | |
| 36.05% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 107 | | technicalSentenceCount | 16 | | matches | | 0 | "The Heartstone pendant burned against her collarbone, a steady pulse that matched the frantic beat inside her ribs." | | 1 | "Their petals brushed her jeans as she moved deeper, leaving faint trails of crushed scent that stung her nose." | | 2 | "She tightened her grip on the small torch, its beam jittering across the ancient oak standing stones that ringed the space like silent judges." | | 3 | "Old habit made her rub it, thumbnail tracing the crescent shape as if the motion could anchor her." | | 4 | "A single deep pulse that travelled up through her bones and settled behind her eyes." | | 5 | "The Heartstone flared brighter, tugging at the chain as though eager to be placed inside." | | 6 | "Eva’s looping capitals, the same hand that had once passed notes under the desk during double French." | | 7 | "The silver chain whipped around her wrist like a living thing, fastening itself with a click that sounded far too final." | | 8 | "Thousands of tiny black centres regarded her with something that might have been recognition." | | 9 | "Its light spilled across the grass in crimson fingers that seemed to pull shadows toward it rather than dispel them." | | 10 | "Yet the pendant reacted violently, jerking against her chest as though trying to drag her forward." | | 11 | "The fingers elongated, splitting into slender branches that ended in tiny white flowers." | | 12 | "Each beat sent warmth racing up Aurora’s arm, straightening her spine, sharpening her thoughts." | | 13 | "The Eva-thing lunged forward, hands becoming branches that whipped toward Aurora’s throat." | | 14 | "Behind her the Eva-thing wailed her name, both names, in a voice that fractured into a thousand different screams." | | 15 | "Each footfall felt heavier than the last, as though the grove had left something inside her that weighed more than flesh and bone." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "Aurora repeated (repeat)" | | 3 | "she whispered (whisper)" |
| | dialogueSentences | 18 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0.571 | | effectiveRatio | 0.444 | |