| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "she asked again [again]" |
| | dialogueSentences | 16 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0.083 | | effectiveRatio | 0.083 | |
| 89.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1883 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "sharply" | | 1 | "lightly" | | 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) | |
| 44.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1883 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "pulse" | | 1 | "pulsed" | | 2 | "throb" | | 3 | "measured" | | 4 | "silence" | | 5 | "trembled" | | 6 | "whisper" | | 7 | "loomed" | | 8 | "weight" | | 9 | "warmth" | | 10 | "lurched" | | 11 | "could feel" | | 12 | "footsteps" | | 13 | "footfall" |
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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 | 191 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 191 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 195 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1886 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1843 | | uniqueNames | 8 | | maxNameDensity | 0.76 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Park | 1 | | London | 1 | | Heartstone | 1 | | Richmond | 3 | | Silas | 1 | | Fae | 1 | | Grove | 1 | | Rory | 14 |
| | persons | | 0 | "Heartstone" | | 1 | "Silas" | | 2 | "Rory" |
| | places | | 0 | "Park" | | 1 | "London" | | 2 | "Richmond" | | 3 | "Fae" | | 4 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 112 | | glossingSentenceCount | 2 | | matches | | 0 | "as if listening" | | 1 | "sounded like someone had spoken from just" |
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| 93.96% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.06 | | wordCount | 1886 | | matches | | 0 | "not painful but insistent" | | 1 | "not at the stone circle anymore but beyond it, deeper into the grove" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 195 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 102 | | mean | 18.49 | | std | 20.66 | | cv | 1.117 | | sampleLengths | | 0 | 17 | | 1 | 85 | | 2 | 6 | | 3 | 59 | | 4 | 7 | | 5 | 16 | | 6 | 3 | | 7 | 48 | | 8 | 6 | | 9 | 12 | | 10 | 46 | | 11 | 9 | | 12 | 9 | | 13 | 94 | | 14 | 5 | | 15 | 2 | | 16 | 78 | | 17 | 6 | | 18 | 49 | | 19 | 6 | | 20 | 8 | | 21 | 2 | | 22 | 45 | | 23 | 6 | | 24 | 21 | | 25 | 3 | | 26 | 27 | | 27 | 4 | | 28 | 44 | | 29 | 7 | | 30 | 29 | | 31 | 13 | | 32 | 20 | | 33 | 9 | | 34 | 37 | | 35 | 5 | | 36 | 6 | | 37 | 23 | | 38 | 4 | | 39 | 5 | | 40 | 44 | | 41 | 18 | | 42 | 5 | | 43 | 53 | | 44 | 4 | | 45 | 51 | | 46 | 1 | | 47 | 38 | | 48 | 7 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 191 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 278 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 195 | | ratio | 0.01 | | matches | | 0 | "Richmond Park behind her held the usual London night smells — wet earth, old leaves, a hint of traffic breath from far roads — but the clearing beyond the ancient oaks carried something sweeter and colder, like flowers kept in a shut room too long." | | 1 | "No — not cloth." |
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| 98.92% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1843 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 76 | | adverbRatio | 0.041237113402061855 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.009224091155724362 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 195 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 195 | | mean | 9.67 | | std | 7.89 | | cv | 0.816 | | sampleLengths | | 0 | 17 | | 1 | 7 | | 2 | 45 | | 3 | 15 | | 4 | 18 | | 5 | 6 | | 6 | 8 | | 7 | 29 | | 8 | 3 | | 9 | 3 | | 10 | 16 | | 11 | 7 | | 12 | 16 | | 13 | 3 | | 14 | 20 | | 15 | 2 | | 16 | 7 | | 17 | 8 | | 18 | 11 | | 19 | 6 | | 20 | 12 | | 21 | 5 | | 22 | 20 | | 23 | 21 | | 24 | 9 | | 25 | 9 | | 26 | 6 | | 27 | 21 | | 28 | 26 | | 29 | 28 | | 30 | 13 | | 31 | 5 | | 32 | 2 | | 33 | 2 | | 34 | 3 | | 35 | 3 | | 36 | 17 | | 37 | 27 | | 38 | 26 | | 39 | 6 | | 40 | 7 | | 41 | 19 | | 42 | 7 | | 43 | 16 | | 44 | 6 | | 45 | 8 | | 46 | 2 | | 47 | 8 | | 48 | 28 | | 49 | 9 |
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| 44.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.28717948717948716 | | totalSentences | 195 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 11 | | totalSentences | 159 | | matches | | 0 | "Just a patient, stubborn heat," | | 1 | "Only her own breath and" | | 2 | "Then even that seemed too" | | 3 | "Only the standing stones and" | | 4 | "Then something moved at the" | | 5 | "More like a movement, a" | | 6 | "Even her breathing sounded muffled," | | 7 | "Then, from somewhere beyond the" | | 8 | "Just crossing the ground with" | | 9 | "Then, from the dark to" | | 10 | "Only enough for her to" |
| | ratio | 0.069 | |
| 91.70% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 159 | | matches | | 0 | "Her pendant warmed against her" | | 1 | "She thumbed the crimson stone" | | 2 | "she muttered to the empty" | | 3 | "She stepped in." | | 4 | "She drew in a careful" | | 5 | "she told the grove" | | 6 | "She had come for a" | | 7 | "She’d followed it here because" | | 8 | "She moved deeper, keeping her" | | 9 | "She reached up and pressed" | | 10 | "Their upper branches held still," | | 11 | "Her skin tightened at the" | | 12 | "She turned sharply." | | 13 | "Her mouth went dry." | | 14 | "She reached into the pocket" | | 15 | "She didn’t want a beam" | | 16 | "she said to it" | | 17 | "She snapped her head left." | | 18 | "She held still, every muscle" | | 19 | "Her torch stayed in her" |
| | ratio | 0.321 | |
| 51.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 130 | | totalSentences | 159 | | matches | | 0 | "Rory slipped through the last" | | 1 | "The air changed at the" | | 2 | "Richmond Park behind her held" | | 3 | "Wildflowers packed the ground in" | | 4 | "The standing stones rose from" | | 5 | "Her pendant warmed against her" | | 6 | "She thumbed the crimson stone" | | 7 | "The Heartstone sat on its" | | 8 | "she muttered to the empty" | | 9 | "She stepped in." | | 10 | "The moment her trainers pressed" | | 11 | "She drew in a careful" | | 12 | "The park path had gone." | | 13 | "The opening through which she’d" | | 14 | "Rory let out a slow" | | 15 | "she told the grove" | | 16 | "She had come for a" | | 17 | "The pendant had started heating" | | 18 | "The little crimson gem had" | | 19 | "She’d followed it here because" |
| | ratio | 0.818 | |
| 31.45% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 159 | | matches | | 0 | "By the time she reached" |
| | ratio | 0.006 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 72 | | technicalSentenceCount | 6 | | matches | | 0 | "The little crimson gem had pulsed once, hard, and then settled into a steady throb that pointed her east through the city like a compass with a grudge." | | 1 | "Their upper branches held still, black cut-outs against a clouded sky, while the flowers below whispered and nodded as if someone had passed a hand inches above…" | | 2 | "They formed a neat circle in the flowers, and inside it the ground had turned dark and bare, as if burned clean." | | 3 | "The flowers nearest the standing stone flattened at once, as if an invisible body had lain across them." | | 4 | "A wrongness opened there, quiet and patient, as if it had all night to wait for her to lean in." | | 5 | "Only enough for her to catch a suggestion of height, a pale line where a face might have been, a dark fall of fabric or hair that moved without wind." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, though her voice had thinned" | | 1 | "she whispered, and the word cracked on the edge of fear" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 6 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she murmured (murmur)" | | 2 | "she muttered (mutter)" | | 3 | "she whispered (whisper)" | | 4 | "she snapped (snap)" | | 5 | "she whispered (whisper)" |
| | dialogueSentences | 16 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |