| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 80.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2003 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "gently" | | 1 | "perfectly" | | 2 | "slowly" | | 3 | "very" |
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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) | |
| 70.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2003 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "familiar" | | 1 | "echo" | | 2 | "pulse" | | 3 | "perfect" | | 4 | "vibrated" | | 5 | "stomach" | | 6 | "footfall" | | 7 | "weight" | | 8 | "silk" | | 9 | "reminder" |
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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 | 1 | | narrationSentences | 190 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 190 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 193 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 5 | | totalWords | 1990 | | ratio | 0.003 | | matches | | 0 | "When it quickens, follow." | | 1 | "Rory." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1960 | | uniqueNames | 17 | | maxNameDensity | 0.82 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 3 | | Park | 1 | | Carter | 2 | | Fae | 1 | | Grove | 10 | | Heartstone | 5 | | London | 2 | | Silas | 1 | | December | 1 | | Aurora | 16 | | Eva | 3 | | Rory | 2 | | Evan | 1 | | Welsh | 1 | | Cardiff | 1 | | Golden | 1 | | Empress | 1 |
| | persons | | 0 | "Carter" | | 1 | "Heartstone" | | 2 | "Silas" | | 3 | "Aurora" | | 4 | "Eva" | | 5 | "Rory" | | 6 | "Evan" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "London" | | 5 | "Cardiff" | | 6 | "Golden" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 136 | | glossingSentenceCount | 2 | | matches | | 0 | "spirals that seemed to twist when she wasn’t looking directly at them" | | 1 | "seemed closer than before" |
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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 | 1990 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 193 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 30.15 | | std | 25.6 | | cv | 0.849 | | sampleLengths | | 0 | 78 | | 1 | 93 | | 2 | 65 | | 3 | 3 | | 4 | 72 | | 5 | 97 | | 6 | 5 | | 7 | 41 | | 8 | 13 | | 9 | 38 | | 10 | 5 | | 11 | 55 | | 12 | 6 | | 13 | 46 | | 14 | 5 | | 15 | 72 | | 16 | 7 | | 17 | 30 | | 18 | 25 | | 19 | 7 | | 20 | 54 | | 21 | 32 | | 22 | 4 | | 23 | 38 | | 24 | 5 | | 25 | 30 | | 26 | 2 | | 27 | 64 | | 28 | 6 | | 29 | 56 | | 30 | 9 | | 31 | 39 | | 32 | 53 | | 33 | 37 | | 34 | 3 | | 35 | 49 | | 36 | 45 | | 37 | 19 | | 38 | 2 | | 39 | 56 | | 40 | 53 | | 41 | 35 | | 42 | 7 | | 43 | 1 | | 44 | 17 | | 45 | 53 | | 46 | 7 | | 47 | 62 | | 48 | 4 | | 49 | 52 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 190 | | matches | (empty) | |
| 74.21% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 318 | | matches | | 0 | "wasn’t looking" | | 1 | "was doing" | | 2 | "was deciding" | | 3 | "was crying" | | 4 | "was scalding" | | 5 | "was already waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 193 | | ratio | 0.052 | | matches | | 0 | "The Grove was doing what the Grove did—stretching minutes into something elastic and untrustworthy." | | 1 | "Aurora’s left wrist itched beneath her sleeve; the small crescent scar there always ached when the pendant stirred." | | 2 | "Their heads turned—actually turned—toward her in a slow, collective ripple." | | 3 | "She had expected strangeness—Eva had warned her the Grove liked to test newcomers—but not this watchful, listening quality." | | 4 | "Another sound—dry leaves sliding over one another—slipped past on her right." | | 5 | "The bark felt wrong—warm, faintly pulsing, like skin over muscle." | | 6 | "She caught movement at the edge of her vision—pale limbs, long black hair like her own, a flash of bright blue eyes that were not quite right." | | 7 | "She could see the standing stones now, but they looked wrong—taller, thinner, their carved spirals spinning slowly like the dials of a lock." | | 8 | "Fingers—long, graceful, far too cold—rested there with the gentle weight of someone who had been waiting a very long time." | | 9 | "The standing stones were once more just stones—silent, cold, indifferent." |
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| 70.25% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1984 | | adjectiveStacks | 3 | | stackExamples | | 0 | "over frost-rimed leaves" | | 1 | "sweet-rotten underneath, like" | | 2 | "wrong—taller, thinner, their" |
| | adverbCount | 106 | | adverbRatio | 0.05342741935483871 | | lyAdverbCount | 26 | | lyAdverbRatio | 0.01310483870967742 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 193 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 193 | | mean | 10.31 | | std | 7.21 | | cv | 0.7 | | sampleLengths | | 0 | 20 | | 1 | 22 | | 2 | 23 | | 3 | 13 | | 4 | 16 | | 5 | 24 | | 6 | 53 | | 7 | 5 | | 8 | 1 | | 9 | 10 | | 10 | 10 | | 11 | 4 | | 12 | 21 | | 13 | 14 | | 14 | 3 | | 15 | 8 | | 16 | 10 | | 17 | 16 | | 18 | 18 | | 19 | 7 | | 20 | 13 | | 21 | 12 | | 22 | 25 | | 23 | 13 | | 24 | 15 | | 25 | 9 | | 26 | 15 | | 27 | 8 | | 28 | 5 | | 29 | 4 | | 30 | 3 | | 31 | 19 | | 32 | 13 | | 33 | 2 | | 34 | 5 | | 35 | 8 | | 36 | 8 | | 37 | 2 | | 38 | 2 | | 39 | 26 | | 40 | 5 | | 41 | 12 | | 42 | 10 | | 43 | 10 | | 44 | 5 | | 45 | 18 | | 46 | 6 | | 47 | 3 | | 48 | 18 | | 49 | 25 |
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| 45.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3160621761658031 | | totalSentences | 193 | | uniqueOpeners | 61 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 172 | | matches | | 0 | "Sometimes Aurora wondered if the" | | 1 | "Only the creak of the" | | 2 | "Instead she crouched, examining the" | | 3 | "Only the flowers watching her" | | 4 | "Instead she stared straight ahead" | | 5 | "Only trunks and flowers and" | | 6 | "Somewhere far off a fox" |
| | ratio | 0.041 | |
| 94.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 54 | | totalSentences | 172 | | matches | | 0 | "She told herself it was" | | 1 | "She had come because the" | | 2 | "She kept moving." | | 3 | "Their petals looked almost luminous," | | 4 | "Its branches spread like skeletal" | | 5 | "It moved gently though there" | | 6 | "She watched the motion until" | | 7 | "She exhaled through her teeth." | | 8 | "She took one step closer." | | 9 | "Their heads turned—actually turned—toward her" | | 10 | "She jerked her leg away." | | 11 | "Her heart hammered against the" | | 12 | "She had expected strangeness—Eva had" | | 13 | "She forced herself forward again." | | 14 | "She reached out, then thought" | | 15 | "She whipped her head toward" | | 16 | "She was certain the gap" | | 17 | "She gasped and clutched it" | | 18 | "Its inner glow leaked between" | | 19 | "She smelled wildflowers and iron" |
| | ratio | 0.314 | |
| 61.74% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 137 | | totalSentences | 172 | | matches | | 0 | "The moon hung low and" | | 1 | "Aurora Carter’s boots crunched over" | | 2 | "Each stone was taller than" | | 3 | "She told herself it was" | | 4 | "She had come because the" | | 5 | "The crimson gem now rested" | | 6 | "The unknown benefactor’s note had" | | 7 | "Aurora drew her coat tighter" | | 8 | "The time display read 02:17," | | 9 | "The Grove was doing what" | | 10 | "She kept moving." | | 11 | "Wildflowers brushed her calves despite" | | 12 | "Bluebells, foxgloves, moon-white lilies that" | | 13 | "Their petals looked almost luminous," | | 14 | "Aurora’s left wrist itched beneath" | | 15 | "Childhood accident, her mother had" | | 16 | "The path narrowed until it" | | 17 | "Oaks gave way to a" | | 18 | "Its branches spread like skeletal" | | 19 | "It moved gently though there" |
| | ratio | 0.797 | |
| 58.14% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 172 | | matches | | 0 | "Now the air tasted different." | | 1 | "As if the place itself" |
| | ratio | 0.012 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 87 | | technicalSentenceCount | 9 | | matches | | 0 | "Aurora Carter’s boots crunched over frost-rimed leaves as she slipped between the standing stones that marked the boundary of the Fae Grove." | | 1 | "Each stone was taller than she was, weathered faces carved with spirals that seemed to twist when she wasn’t looking directly at them." | | 2 | "Bluebells, foxgloves, moon-white lilies that should have died months earlier." | | 3 | "Oaks gave way to a ring of younger trees whose trunks were strangely smooth, as if something had polished the bark with patient, circling hands." | | 4 | "Quick-thinking Rory Carter who had escaped Evan with nothing but a duffel bag and the address Eva texted at 3 a.m." | | 5 | "The sound reminded her of old ship rigging, of things that had once been alive and no longer were." | | 6 | "Higher and higher it swung until the seat slapped against the trunk with a flat, meaty sound that made her stomach fold in on itself." | | 7 | "She caught movement at the edge of her vision—pale limbs, long black hair like her own, a flash of bright blue eyes that were not quite right." | | 8 | "Fingers—long, graceful, far too cold—rested there with the gentle weight of someone who had been waiting a very long time." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |