| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva edged around [around]" |
| | dialogueSentences | 39 | | tagDensity | 0.359 | | leniency | 0.718 | | rawRatio | 0.071 | | effectiveRatio | 0.051 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1022 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 55.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1022 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "loomed" | | 1 | "pulse" | | 2 | "stomach" | | 3 | "flicker" | | 4 | "resolving" | | 5 | "pulsed" | | 6 | "chill" | | 7 | "throbbed" | | 8 | "whisper" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "stomach dropped/sank" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "stomach dropped" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 64 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 64 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1029 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 64.74% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 821 | | uniqueNames | 6 | | maxNameDensity | 1.71 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 14 | | Eva | 7 | | Nyx | 10 | | Richmond | 1 | | Park | 1 | | Heartstone | 2 |
| | persons | | | places | | | globalScore | 0.647 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.915 | | wordCount | 1029 | | matches | | 0 | "not any sky — neither blue nor amber but some shifting between, clouds moving fast" | | 1 | "neither blue nor" | | 2 | "not her reflection but a flicker of somewhere else: a vaulted ceiling, candlelight" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 26.38 | | std | 26.82 | | cv | 1.016 | | sampleLengths | | 0 | 15 | | 1 | 13 | | 2 | 35 | | 3 | 27 | | 4 | 2 | | 5 | 2 | | 6 | 35 | | 7 | 4 | | 8 | 90 | | 9 | 8 | | 10 | 23 | | 11 | 17 | | 12 | 3 | | 13 | 60 | | 14 | 9 | | 15 | 31 | | 16 | 2 | | 17 | 33 | | 18 | 12 | | 19 | 2 | | 20 | 3 | | 21 | 48 | | 22 | 19 | | 23 | 6 | | 24 | 3 | | 25 | 99 | | 26 | 3 | | 27 | 22 | | 28 | 15 | | 29 | 10 | | 30 | 61 | | 31 | 103 | | 32 | 42 | | 33 | 8 | | 34 | 22 | | 35 | 42 | | 36 | 3 | | 37 | 60 | | 38 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 145 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 88 | | ratio | 0.068 | | matches | | 0 | "The others followed — Eva clutching her coat shut, Nyx pouring through the gap like spilled ink." | | 1 | "Wildflowers crowded the clearing floor — bluebells beside foxgloves beside blooms Rory had no name for, petals the colour of bruised plums that breathed open and shut." | | 2 | "Beneath the birdsong — and there was birdsong, layered and strange, notes bending in ways no throat should manage — ran a low hum." | | 3 | "The trees thinned and the canopy opened to a sky that was not any sky — neither blue nor amber but some shifting between, clouds moving fast and high while the air below stayed dead calm." | | 4 | "They crossed at a place where flat stepping-stones broke the current, and the hum grew louder, resolving now into something almost like voices — a choir heard through water, words sliding apart before Rory could catch them." | | 5 | "Its trunk was silver-barked and broad as a house, its roots heaving up through the earth in coils thick as her body, and from its branches hung lanterns — no, not lanterns." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 817 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.02937576499388005 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006119951040391677 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 11.69 | | std | 9.13 | | cv | 0.781 | | sampleLengths | | 0 | 15 | | 1 | 5 | | 2 | 8 | | 3 | 13 | | 4 | 19 | | 5 | 3 | | 6 | 11 | | 7 | 16 | | 8 | 2 | | 9 | 2 | | 10 | 6 | | 11 | 17 | | 12 | 12 | | 13 | 4 | | 14 | 13 | | 15 | 28 | | 16 | 27 | | 17 | 22 | | 18 | 4 | | 19 | 4 | | 20 | 9 | | 21 | 7 | | 22 | 7 | | 23 | 16 | | 24 | 1 | | 25 | 3 | | 26 | 24 | | 27 | 20 | | 28 | 16 | | 29 | 4 | | 30 | 5 | | 31 | 11 | | 32 | 16 | | 33 | 4 | | 34 | 2 | | 35 | 2 | | 36 | 16 | | 37 | 7 | | 38 | 8 | | 39 | 6 | | 40 | 6 | | 41 | 2 | | 42 | 3 | | 43 | 2 | | 44 | 23 | | 45 | 20 | | 46 | 3 | | 47 | 6 | | 48 | 13 | | 49 | 6 |
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| 64.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4431818181818182 | | totalSentences | 88 | | uniqueOpeners | 39 | |
| 60.61% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 55 | | matches | | 0 | "Then the light changed." |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 55 | | matches | | 0 | "It curled away from her" | | 1 | "They all stopped." | | 2 | "It came up through the" | | 3 | "She was fairly certain it" | | 4 | "She glanced back the way" | | 5 | "Her stomach dropped." | | 6 | "She wanted to throttle them," | | 7 | "They walked on." | | 8 | "She jerked back." | | 9 | "They crossed at a place" | | 10 | "Its trunk was silver-barked and" | | 11 | "She hadn't realised she'd stopped" | | 12 | "She forced her legs forward," | | 13 | "She did not look up," | | 14 | "She lifted her head, lavender" |
| | ratio | 0.273 | |
| 41.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 55 | | matches | | 0 | "The standing stones loomed out" | | 1 | "Rory pressed her palm against" | | 2 | "The bark felt warm, alive," | | 3 | "Nyx slid forward, a smear" | | 4 | "Rory ducked between the stones" | | 5 | "The others followed — Eva" | | 6 | "The cold of Richmond Park" | | 7 | "Sunlight slanted gold and thick" | | 8 | "Wildflowers crowded the clearing floor" | | 9 | "The grass underfoot gave off" | | 10 | "Rory crouched, touched a flower" | | 11 | "It curled away from her" | | 12 | "Nyx had gone still at" | | 13 | "They all stopped." | | 14 | "It came up through the" | | 15 | "The Heartstone at her throat" | | 16 | "Nyx drifted ahead, testing the" | | 17 | "A thread of pale moss" | | 18 | "Rory hadn't seen it a" | | 19 | "She was fairly certain it" |
| | ratio | 0.836 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 56.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 4 | | matches | | 0 | "The bark felt warm, alive, pulsing under her fingers in a slow rhythm that matched no heartbeat she knew." | | 1 | "Wildflowers crowded the clearing floor — bluebells beside foxgloves beside blooms Rory had no name for, petals the colour of bruised plums that breathed open an…" | | 2 | "The trees thinned and the canopy opened to a sky that was not any sky — neither blue nor amber but some shifting between, clouds moving fast and high while the …" | | 3 | "Beneath them the flowers grew thickest, and the scent here was overwhelming, honeyed and heavy, the kind that made Rory want to lie down in the grass and close …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "Rory pressed (press)" | | 1 | "Eva whispered (whisper)" | | 2 | "Nyx murmured (murmur)" |
| | dialogueSentences | 39 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0.333 | | effectiveRatio | 0.154 | |