| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1264 | | 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) | |
| 44.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1264 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "silence" | | 1 | "pulsed" | | 2 | "rhythmic" | | 3 | "warmth" | | 4 | "tracing" | | 5 | "throbbed" | | 6 | "wavering" | | 7 | "raced" | | 8 | "sentinel" | | 9 | "weight" | | 10 | "whisper" |
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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 | 144 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 144 | | filterMatches | | | 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 | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1264 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 2 | | matches | | 0 | "You are being stupid, she told herself." | | 1 | "Show yourself, she said." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1259 | | uniqueNames | 12 | | maxNameDensity | 0.56 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Carter | 1 | | Richmond | 3 | | Park | 2 | | Fae | 1 | | Grove | 3 | | Earth | 1 | | Heartstone | 2 | | Hel | 1 | | London | 3 | | Cardiff | 1 | | Evan | 1 | | Rory | 7 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "Hel" | | 5 | "London" | | 6 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a lung filling with water" | | 1 | "seemed narrower than before" |
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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 | 1264 | | matches | (empty) | |
| 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 | 41 | | mean | 30.83 | | std | 21.23 | | cv | 0.689 | | sampleLengths | | 0 | 63 | | 1 | 10 | | 2 | 87 | | 3 | 49 | | 4 | 18 | | 5 | 56 | | 6 | 66 | | 7 | 3 | | 8 | 22 | | 9 | 42 | | 10 | 13 | | 11 | 36 | | 12 | 61 | | 13 | 13 | | 14 | 50 | | 15 | 4 | | 16 | 42 | | 17 | 17 | | 18 | 14 | | 19 | 69 | | 20 | 14 | | 21 | 50 | | 22 | 19 | | 23 | 11 | | 24 | 24 | | 25 | 5 | | 26 | 49 | | 27 | 7 | | 28 | 36 | | 29 | 8 | | 30 | 43 | | 31 | 22 | | 32 | 42 | | 33 | 37 | | 34 | 6 | | 35 | 25 | | 36 | 31 | | 37 | 10 | | 38 | 47 | | 39 | 5 | | 40 | 38 |
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| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 144 | | matches | | 0 | "was supposed" | | 1 | "was supposed" | | 2 | "were gone" |
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| 51.85% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 225 | | matches | | 0 | "wasn't looking" | | 1 | "was walking" | | 2 | "wasn't signaling" | | 3 | "was signaling" | | 4 | "was pulsing" |
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| 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) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1201 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.03330557868442964 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.009991673605328892 | |
| 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 | 8.78 | | std | 5.83 | | cv | 0.664 | | sampleLengths | | 0 | 25 | | 1 | 19 | | 2 | 11 | | 3 | 8 | | 4 | 4 | | 5 | 5 | | 6 | 1 | | 7 | 16 | | 8 | 17 | | 9 | 9 | | 10 | 13 | | 11 | 11 | | 12 | 21 | | 13 | 15 | | 14 | 15 | | 15 | 9 | | 16 | 5 | | 17 | 5 | | 18 | 7 | | 19 | 5 | | 20 | 6 | | 21 | 15 | | 22 | 14 | | 23 | 7 | | 24 | 4 | | 25 | 13 | | 26 | 3 | | 27 | 8 | | 28 | 16 | | 29 | 24 | | 30 | 18 | | 31 | 3 | | 32 | 2 | | 33 | 4 | | 34 | 5 | | 35 | 6 | | 36 | 5 | | 37 | 5 | | 38 | 21 | | 39 | 5 | | 40 | 2 | | 41 | 2 | | 42 | 7 | | 43 | 7 | | 44 | 6 | | 45 | 8 | | 46 | 12 | | 47 | 6 | | 48 | 2 | | 49 | 8 |
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| 31.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 26 | | diversityRatio | 0.2777777777777778 | | totalSentences | 144 | | uniqueOpeners | 40 | |
| 98.77% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 135 | | matches | | 0 | "Just silence, heavy and pressing" | | 1 | "Just a weird patch of" | | 2 | "Sometimes, in places like this," | | 3 | "Probably just the wood settling," |
| | ratio | 0.03 | |
| 51.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 57 | | totalSentences | 135 | | matches | | 0 | "She checked her watch." | | 1 | "They were too vibrant, their" | | 2 | "Her hand went to her" | | 3 | "It was supposed to glow" | | 4 | "She hadn't found a portal." | | 5 | "She had found this silence." | | 6 | "You are being stupid, she" | | 7 | "It is just a park." | | 8 | "She rubbed her left wrist" | | 9 | "She stopped in the center" | | 10 | "She had come here because" | | 11 | "She didn't turn immediately." | | 12 | "She listened, cataloging the sound." | | 13 | "It hadn't come from the" | | 14 | "It had come from above." | | 15 | "She tilted her head back." | | 16 | "She took a step toward" | | 17 | "Her mind raced, cool-headed analysis" | | 18 | "She needed to leave." | | 19 | "She turned to go back" |
| | ratio | 0.422 | |
| 48.89% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 111 | | totalSentences | 135 | | matches | | 0 | "The air inside the boundary" | | 1 | "Aurora Carter stepped over the" | | 2 | "She checked her watch." | | 3 | "The second hand was frozen." | | 4 | "Rory tucked her chin into" | | 5 | "The Fae Grove was supposed" | | 6 | "Tonight, it felt like a" | | 7 | "Wildflowers bloomed in the darkness," | | 8 | "They were too vibrant, their" | | 9 | "Bluebells glowed with a bioluminescent" | | 10 | "Her hand went to her" | | 11 | "The silver chain was cold," | | 12 | "It was supposed to glow" | | 13 | "She hadn't found a portal." | | 14 | "She had found this silence." | | 15 | "You are being stupid, she" | | 16 | "It is just a park." | | 17 | "She rubbed her left wrist" | | 18 | "A childhood accident, her mother" | | 19 | "Tonight, it itched." |
| | ratio | 0.822 | |
| 74.07% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 135 | | matches | | 0 | "Now that she was here," | | 1 | "If she stayed too long," |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 1 | | matches | | 0 | "She walked faster, her hand gripping the pendant tight, keeping it warm with her own heat, pretending she couldn't feel the eyes still fixed on her back, watchi…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |