| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1079 | | totalAiIsmAdverbs | 2 | | 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) | |
| 25.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1079 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "chill" | | 1 | "silence" | | 2 | "echoed" | | 3 | "pulse" | | 4 | "perfect" | | 5 | "whisper" | | 6 | "warmth" | | 7 | "searing" | | 8 | "vibrated" | | 9 | "pulsed" | | 10 | "profound" | | 11 | "glistening" |
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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 | 96 | | matches | (empty) | |
| 53.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 6 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | 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 | 2 | | markdownWords | 12 | | totalWords | 1078 | | ratio | 0.011 | | matches | | 0 | "It’s just a park" | | 1 | "An old part of the park. That’s all." |
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| 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 | 16 | | wordCount | 1027 | | uniqueNames | 7 | | maxNameDensity | 0.88 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Fae | 1 | | Grove | 1 | | Richmond | 1 | | Park | 1 | | London | 1 | | Heartstone | 2 | | Rory | 9 |
| | persons | | | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 2 | | matches | | 0 | "he right, then seemingly from inside her own" | | 1 | "as if pushing through setting resin" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 6 | | per1kWords | 5.566 | | wordCount | 1078 | | matches | | 0 | "Not the usual body heat, but a faint, pulsing glow" | | 1 | "Not like something breaking the surface, but like the earth itself was taking a breath, the soil rising i" | | 2 | "Not a hand, not an arm, but a pale, smooth form, like the bole of a birch tree, but it c" | | 3 | "not an arm, but a pale, smooth form, like the bole of a birch tree, but it c" | | 4 | "not into fingers, but into five slender, twitching tendrils" | | 5 | "not pollen, but rows of tiny, glistening black teeth" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 37.17 | | std | 20.67 | | cv | 0.556 | | sampleLengths | | 0 | 41 | | 1 | 63 | | 2 | 46 | | 3 | 15 | | 4 | 12 | | 5 | 71 | | 6 | 16 | | 7 | 77 | | 8 | 55 | | 9 | 45 | | 10 | 43 | | 11 | 2 | | 12 | 33 | | 13 | 12 | | 14 | 39 | | 15 | 15 | | 16 | 22 | | 17 | 10 | | 18 | 63 | | 19 | 26 | | 20 | 16 | | 21 | 57 | | 22 | 25 | | 23 | 14 | | 24 | 49 | | 25 | 48 | | 26 | 61 | | 27 | 55 | | 28 | 47 |
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| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 96 | | matches | | 0 | "was pitted" | | 1 | "was gone" | | 2 | "was gone" | | 3 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 157 | | matches | | 0 | "was pulling" | | 1 | "was taking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 103 | | ratio | 0.01 | | matches | | 0 | "A scent rose with it—petrichor and something sweetly rotten." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1030 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03495145631067961 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005825242718446602 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 10.47 | | std | 6.59 | | cv | 0.629 | | sampleLengths | | 0 | 8 | | 1 | 16 | | 2 | 10 | | 3 | 7 | | 4 | 4 | | 5 | 15 | | 6 | 28 | | 7 | 16 | | 8 | 1 | | 9 | 15 | | 10 | 9 | | 11 | 8 | | 12 | 4 | | 13 | 9 | | 14 | 7 | | 15 | 6 | | 16 | 2 | | 17 | 12 | | 18 | 6 | | 19 | 19 | | 20 | 9 | | 21 | 11 | | 22 | 4 | | 23 | 16 | | 24 | 6 | | 25 | 10 | | 26 | 2 | | 27 | 4 | | 28 | 12 | | 29 | 12 | | 30 | 16 | | 31 | 22 | | 32 | 4 | | 33 | 11 | | 34 | 5 | | 35 | 7 | | 36 | 1 | | 37 | 10 | | 38 | 9 | | 39 | 8 | | 40 | 7 | | 41 | 5 | | 42 | 3 | | 43 | 5 | | 44 | 13 | | 45 | 17 | | 46 | 10 | | 47 | 7 | | 48 | 16 | | 49 | 12 |
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| 43.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3300970873786408 | | totalSentences | 103 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 92 | | matches | | 0 | "Just naked fingers clawing at" | | 1 | "Just the row of stones," | | 2 | "Then, at the edge of" |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 92 | | matches | | 0 | "It thrummed like a tiny," | | 1 | "She shouldn’t be here." | | 2 | "They watched her, stems rigid," | | 3 | "*It’s just a park*, she" | | 4 | "She passed the first standing" | | 5 | "Its surface was pitted, ancient," | | 6 | "She froze, head tilting." | | 7 | "It came again, from the" | | 8 | "Her voice was a ragged" | | 9 | "She moved forward, following the" | | 10 | "It was a little girl’s" | | 11 | "She reached the centre of" | | 12 | "It was a whisper, dry" | | 13 | "She hated the tremor in" | | 14 | "It was too long, too" | | 15 | "It pointed at her, its" | | 16 | "Her heel caught on a" | | 17 | "She fell, palms hitting the" | | 18 | "It was a stem, she" | | 19 | "Its tendrils beckoned." |
| | ratio | 0.25 | |
| 46.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 92 | | matches | | 0 | "The silver chain felt warm" | | 1 | "Rory pressed her palm flat" | | 2 | "It thrummed like a tiny," | | 3 | "She shouldn’t be here." | | 4 | "The Fae Grove in Richmond" | | 5 | "Wildflowers, defiant in the autumn" | | 6 | "This was a vacuum, a" | | 7 | "Rory took a step onto" | | 8 | "The wildflowers didn't sway." | | 9 | "They watched her, stems rigid," | | 10 | "*It’s just a park*, she" | | 11 | "*An old part of the" | | 12 | "She passed the first standing" | | 13 | "Its surface was pitted, ancient," | | 14 | "The air thickened, tasting of" | | 15 | "A sound reached her, distant" | | 16 | "She froze, head tilting." | | 17 | "It came again, from the" | | 18 | "Laughter that echoed without a" | | 19 | "Her voice was a ragged" |
| | ratio | 0.826 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 36.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 7 | | matches | | 0 | "Yet the pendant had dragged her here, pulling her through the late-night dark until she stood before a semicircle of ancient, oak standing stones that should no…" | | 1 | "Each step was a conscious act, as if pushing through setting resin." | | 2 | "The standing stones at the edge of the grove began to hum, a low, resonant frequency that vibrated in her teeth." | | 3 | "The moonlight, which had been sharp and clear, now seemed to thicken, dripping through the branches like pale oil." | | 4 | "In its place was a profound, creeping chill that started in her chest and radiated outward, numbing her fingertips, icing her thoughts." | | 5 | "The wildflowers around the spiral finally moved, their heads turning in unison toward her, petals peeling back to reveal not pollen, but rows of tiny, glistenin…" | | 6 | "There were no features at all, only a slick, dark void that radiated a cold far deeper than the autumn air." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "the whisper sang (sing)" |
| | dialogueSentences | 11 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 1 | | effectiveRatio | 0.182 | |