| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.276 | | leniency | 0.552 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1071 | | 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) | |
| 34.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1071 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulse" | | 1 | "racing" | | 2 | "warmth" | | 3 | "tracing" | | 4 | "silence" | | 5 | "whisper" | | 6 | "flickered" | | 7 | "pulsed" | | 8 | "cacophony" | | 9 | "raced" | | 10 | "familiar" |
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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 | 124 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 124 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 20 | | markdownWords | 161 | | totalWords | 1068 | | ratio | 0.151 | | matches | | 0 | "Brilliant time to remember that" | | 1 | "Focus." | | 2 | "Not Fae." | | 3 | "Smells of elsewhere." | | 4 | "The stone. Look at the stone." | | 5 | "She shouldn't be here." | | 6 | "None of them should be here anymore." | | 7 | "Isolde is gone." | | 8 | "Where they all go, eventually. Into the Between. Into the spaces that used to be sealed." | | 9 | "The barriers are thin now. Broken. Things slip through. Things that hunger." | | 10 | "A question with many answers." | | 11 | "We were here first. Before the Fae carved their pretty pockets. Before humans learned to cross. We've been waiting." | | 12 | "Dymas work." | | 13 | "How far that bloodline has fallen. Leaving their trinkets with children who don't understand." | | 14 | "Do you?" | | 15 | "Do you understand what's coming? What your friend has done?" | | 16 | "The summoner. The fool who thought she could control what she pulled through." | | 17 | "She opened a door. Doors are meant to stay closed." | | 18 | "She's in the places between places. The gaps in reality. The spaces that shouldn't exist but do." | | 19 | "She's calling for you. We can hear her. Can you?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.37% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 871 | | uniqueNames | 10 | | maxNameDensity | 1.49 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 13 | | Park | 1 | | October | 1 | | Isolde | 1 | | Eva | 4 | | Mum | 1 | | Silence | 1 | | Fae-touched | 1 | | Heartstone | 1 | | January | 1 |
| | persons | | | places | | | globalScore | 0.754 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 4 | | matches | | 0 | "quite catch, in a language that made her teeth ache" | | 1 | "not quite painful now, more like a warning" | | 2 | "Something like laughter, if laughter could s" | | 3 | "quite track" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.936 | | wordCount | 1068 | | matches | | 0 | "Not slowly, the natural decline of autumn, but instant" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 144 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 18.41 | | std | 15.8 | | cv | 0.858 | | sampleLengths | | 0 | 14 | | 1 | 19 | | 2 | 56 | | 3 | 7 | | 4 | 48 | | 5 | 30 | | 6 | 35 | | 7 | 1 | | 8 | 18 | | 9 | 1 | | 10 | 21 | | 11 | 34 | | 12 | 6 | | 13 | 25 | | 14 | 4 | | 15 | 29 | | 16 | 7 | | 17 | 28 | | 18 | 10 | | 19 | 26 | | 20 | 5 | | 21 | 20 | | 22 | 38 | | 23 | 3 | | 24 | 25 | | 25 | 2 | | 26 | 3 | | 27 | 6 | | 28 | 4 | | 29 | 7 | | 30 | 18 | | 31 | 20 | | 32 | 3 | | 33 | 7 | | 34 | 52 | | 35 | 2 | | 36 | 43 | | 37 | 46 | | 38 | 3 | | 39 | 41 | | 40 | 2 | | 41 | 26 | | 42 | 3 | | 43 | 26 | | 44 | 3 | | 45 | 42 | | 46 | 3 | | 47 | 39 | | 48 | 43 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 124 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 155 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 144 | | ratio | 0 | | matches | (empty) | |
| 85.95% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 874 | | adjectiveStacks | 1 | | stackExamples | | 0 | "turned black, organic matter" |
| | adverbCount | 43 | | adverbRatio | 0.04919908466819222 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010297482837528604 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 7.42 | | std | 5.3 | | cv | 0.715 | | sampleLengths | | 0 | 14 | | 1 | 8 | | 2 | 3 | | 3 | 1 | | 4 | 7 | | 5 | 8 | | 6 | 16 | | 7 | 13 | | 8 | 10 | | 9 | 9 | | 10 | 7 | | 11 | 8 | | 12 | 22 | | 13 | 15 | | 14 | 3 | | 15 | 4 | | 16 | 15 | | 17 | 11 | | 18 | 13 | | 19 | 2 | | 20 | 6 | | 21 | 9 | | 22 | 5 | | 23 | 1 | | 24 | 12 | | 25 | 6 | | 26 | 1 | | 27 | 8 | | 28 | 13 | | 29 | 4 | | 30 | 2 | | 31 | 5 | | 32 | 5 | | 33 | 8 | | 34 | 10 | | 35 | 6 | | 36 | 6 | | 37 | 4 | | 38 | 1 | | 39 | 11 | | 40 | 3 | | 41 | 4 | | 42 | 6 | | 43 | 2 | | 44 | 8 | | 45 | 13 | | 46 | 4 | | 47 | 3 | | 48 | 16 | | 49 | 12 |
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| 78.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.5069444444444444 | | totalSentences | 144 | | uniqueOpeners | 73 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 99 | | matches | | 0 | "Then, at the edge of" | | 1 | "Just flowers, impossibly still in" | | 2 | "Still unintelligible, but closer." | | 3 | "Then the whispers erupted into" | | 4 | "More movement in the dying" | | 5 | "Then it stopped." |
| | ratio | 0.061 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 99 | | matches | | 0 | "She'd come because the dreams" | | 1 | "Their petals faced her, hundreds" | | 2 | "She'd been seven, reaching for" | | 3 | "Her voice fell flat, absorbed" | | 4 | "She turned back." | | 5 | "She could've sworn they'd been" | | 6 | "Her voice cracked" | | 7 | "She pressed the power button" | | 8 | "Her hand went to the" | | 9 | "Its proportions wrong in ways" | | 10 | "It took a step forward" | | 11 | "She'd been frantic the last" |
| | ratio | 0.121 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 99 | | matches | | 0 | "The pendant burned against Rory's" | | 1 | "This was different." | | 2 | "Richmond Park stretched silent and" | | 3 | "The moonlight fell wrong here," | | 4 | "Time moved differently in Isolde's" | | 5 | "An hour inside could be" | | 6 | "She'd come because the dreams" | | 7 | "The pendant had guided her" | | 8 | "The wildflowers didn't move." | | 9 | "Their petals faced her, hundreds" | | 10 | "Rory's fingers found the scar" | | 11 | "That's what Mum had called" | | 12 | "She'd been seven, reaching for" | | 13 | "Something that had reached back." | | 14 | "Her voice fell flat, absorbed" | | 15 | "Words she couldn't quite catch," | | 16 | "The pendant's heat intensified." | | 17 | "That's what it warned against." | | 18 | "This was Fae-touched earth, a" | | 19 | "Movement flickered in her peripheral" |
| | ratio | 0.667 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 99 | | matches | | 0 | "Now it seared." | | 1 | "Now she could reach out" | | 2 | "To heal the barriers." |
| | ratio | 0.03 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 2 | | matches | | 0 | "Three nights running, she'd woken gasping, the taste of copper sharp on her tongue, Eva's voice calling from somewhere she couldn't reach." | | 1 | "She'd been frantic the last time they spoke, talking too fast, making connections that didn't quite track." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |