| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 964 | | 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) | |
| 32.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 964 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "tracing" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "quickened" | | 4 | "silence" | | 5 | "pulse" | | 6 | "gloom" | | 7 | "perfect" | | 8 | "familiar" | | 9 | "standard" | | 10 | "lurched" |
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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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 102 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 98.13% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 49 | | totalWords | 962 | | ratio | 0.051 | | matches | | 0 | "The Grove opens when the clock strikes wrong. Bring what hangs at your throat." | | 1 | "Peripheral vision is a liar" | | 2 | "Focus." | | 3 | "Assess before you react. Never give them what they want." | | 4 | "They’re trying to draw you off the path. Standard Fae trick number one. You’ve read the books." | | 5 | "You’re early." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 947 | | uniqueNames | 12 | | maxNameDensity | 0.74 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Grove | 4 | | Hel | 1 | | Heavy | 1 | | Heartstone | 2 | | Park | 1 | | South | 1 | | Circular | 1 | | London | 1 | | English | 1 | | Welsh | 1 | | Fae | 1 | | Aurora | 7 |
| | persons | | 0 | "Grove" | | 1 | "Heartstone" | | 2 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 1 | | matches | | 0 | "as if following a sun that wasn’t there" |
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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 | 962 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 104 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 27.49 | | std | 24.16 | | cv | 0.879 | | sampleLengths | | 0 | 5 | | 1 | 47 | | 2 | 4 | | 3 | 57 | | 4 | 40 | | 5 | 7 | | 6 | 71 | | 7 | 7 | | 8 | 80 | | 9 | 3 | | 10 | 52 | | 11 | 65 | | 12 | 5 | | 13 | 43 | | 14 | 8 | | 15 | 6 | | 16 | 3 | | 17 | 45 | | 18 | 2 | | 19 | 37 | | 20 | 58 | | 21 | 10 | | 22 | 17 | | 23 | 48 | | 24 | 40 | | 25 | 5 | | 26 | 5 | | 27 | 4 | | 28 | 69 | | 29 | 33 | | 30 | 29 | | 31 | 36 | | 32 | 6 | | 33 | 13 | | 34 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 102 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 147 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 104 | | ratio | 0.01 | | matches | | 0 | "The nearest standing stone—the one that had moved—now bore a face she recognised." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 185 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 1 | | adverbRatio | 0.005405405405405406 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.005405405405405406 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 9.25 | | std | 6.72 | | cv | 0.726 | | sampleLengths | | 0 | 5 | | 1 | 3 | | 2 | 8 | | 3 | 15 | | 4 | 21 | | 5 | 4 | | 6 | 7 | | 7 | 5 | | 8 | 21 | | 9 | 5 | | 10 | 5 | | 11 | 14 | | 12 | 6 | | 13 | 23 | | 14 | 3 | | 15 | 7 | | 16 | 1 | | 17 | 7 | | 18 | 6 | | 19 | 13 | | 20 | 3 | | 21 | 9 | | 22 | 8 | | 23 | 8 | | 24 | 18 | | 25 | 6 | | 26 | 7 | | 27 | 6 | | 28 | 18 | | 29 | 8 | | 30 | 23 | | 31 | 1 | | 32 | 16 | | 33 | 8 | | 34 | 3 | | 35 | 8 | | 36 | 12 | | 37 | 18 | | 38 | 14 | | 39 | 6 | | 40 | 16 | | 41 | 17 | | 42 | 2 | | 43 | 24 | | 44 | 5 | | 45 | 15 | | 46 | 6 | | 47 | 2 | | 48 | 13 | | 49 | 7 |
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| 69.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.46153846153846156 | | totalSentences | 104 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 89 | | matches | | 0 | "Just the sound of her" | | 1 | "Too straight to be a" | | 2 | "Then the ground lurched." | | 3 | "No longer a crack, but" | | 4 | "All facing inward." | | 5 | "All watching her." |
| | ratio | 0.067 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 89 | | matches | | 0 | "She killed the light." | | 1 | "They hadn’t mentioned the scent." | | 2 | "She should never have come" | | 3 | "Her benefactor, the one who’d" | | 4 | "She’d told herself this was" | | 5 | "She’d told herself a lot" | | 6 | "She strained her ears for" | | 7 | "She didn’t turn." | | 8 | "She’d read the accounts: a" | | 9 | "Her fingers hovered over the" | | 10 | "Her father’s voice, that sharp" | | 11 | "It vanished behind the ancient" | | 12 | "She released a breath she" | | 13 | "*They’re trying to draw you" | | 14 | "You’ve read the books.*" | | 15 | "Their petals unfurled in her" | | 16 | "She unclasped the silver chain" | | 17 | "Her own cheekbones." | | 18 | "Her own bright blue eyes," |
| | ratio | 0.213 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 89 | | matches | | 0 | "The second stone had moved." | | 1 | "A hand’s breadth to the" | | 2 | "Aurora’s torch swept the ground," | | 3 | "The oak standing stone now" | | 4 | "She killed the light." | | 5 | "Darkness rushed in, thick as" | | 6 | "The Grove held its breath." | | 7 | "Year-round bloom, the stories said." | | 8 | "They hadn’t mentioned the scent." | | 9 | "Something honey-sweet and too fleshy," | | 10 | "The pendant pulsed against her" | | 11 | "This was jagged." | | 12 | "A moth fluttering trapped in" | | 13 | "She should never have come" | | 14 | "*The Grove opens when the" | | 15 | "Her benefactor, the one who’d" | | 16 | "She’d told herself this was" | | 17 | "She’d told herself a lot" | | 18 | "Aurora pressed forward between the" | | 19 | "Richmond Park’s outer silence had" |
| | ratio | 0.652 | |
| 56.18% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 89 | | matches | | | ratio | 0.011 | |
| 84.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 3 | | matches | | 0 | "She strained her ears for birdsong, for the distant rush of the South Circular, for anything that belonged to the London she knew." | | 1 | "But books didn’t prepare you for the way the wildflowers near her feet began to twist, each stem rotating slowly in the soil as if following a sun that wasn’t t…" | | 2 | "Her own bright blue eyes, carved into the ancient oak with a precision that spoke of hours, of loving attention." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora said, and the words came out steadier than she felt" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she breathed (breathe)" |
| | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |