| 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 | |
| 91.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1165 | | 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) | |
| 1.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1165 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "mechanical" | | 1 | "velvet" | | 2 | "familiar" | | 3 | "weight" | | 4 | "sentinels" | | 5 | "chill" | | 6 | "vibrated" | | 7 | "fractured" | | 8 | "cataloged" | | 9 | "silence" | | 10 | "echoed" | | 11 | "echo" | | 12 | "pulsed" | | 13 | "pulse" | | 14 | "warmth" | | 15 | "could feel" | | 16 | "whisper" | | 17 | "silk" | | 18 | "rhythmic" |
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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 | 141 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 141 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1165 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 1156 | | uniqueNames | 9 | | maxNameDensity | 0.87 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 2 | | Trespassing | 1 | | November | 1 | | Hel | 2 | | Rory | 10 | | Cardiff | 1 | | London | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 84.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 2 | | matches | | 0 | "hum that seemed to originate in the soil itself" | | 1 | "looked like liquid obsidian" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.858 | | wordCount | 1165 | | matches | | 0 | "Not true silence, but a layered, curated one" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 141 | | matches | | |
| 0.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 7 | | mean | 166.43 | | std | 20.96 | | cv | 0.126 | | sampleLengths | | 0 | 170 | | 1 | 187 | | 2 | 152 | | 3 | 172 | | 4 | 180 | | 5 | 122 | | 6 | 182 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 141 | | matches | | |
| 5.83% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 206 | | matches | | 0 | "was setting" | | 1 | "was trying" | | 2 | "was blazing" | | 3 | "was walking" | | 4 | "was herding" | | 5 | "was guiding" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 141 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 248 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.028225806451612902 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.012096774193548387 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 8.26 | | std | 6.56 | | cv | 0.794 | | sampleLengths | | 0 | 23 | | 1 | 25 | | 2 | 28 | | 3 | 19 | | 4 | 10 | | 5 | 7 | | 6 | 8 | | 7 | 24 | | 8 | 6 | | 9 | 8 | | 10 | 3 | | 11 | 9 | | 12 | 6 | | 13 | 26 | | 14 | 3 | | 15 | 5 | | 16 | 19 | | 17 | 28 | | 18 | 14 | | 19 | 4 | | 20 | 8 | | 21 | 27 | | 22 | 4 | | 23 | 7 | | 24 | 4 | | 25 | 1 | | 26 | 5 | | 27 | 10 | | 28 | 4 | | 29 | 12 | | 30 | 6 | | 31 | 3 | | 32 | 14 | | 33 | 2 | | 34 | 21 | | 35 | 15 | | 36 | 3 | | 37 | 5 | | 38 | 2 | | 39 | 3 | | 40 | 12 | | 41 | 6 | | 42 | 4 | | 43 | 10 | | 44 | 3 | | 45 | 12 | | 46 | 12 | | 47 | 2 | | 48 | 12 | | 49 | 2 |
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| 37.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.2624113475177305 | | totalSentences | 141 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 120 | | matches | | 0 | "Somewhere to her left, a" | | 1 | "Then it pulsed out of" | | 2 | "Only moss and black bark." | | 3 | "Always behind her." |
| | ratio | 0.033 | |
| 66.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 120 | | matches | | 0 | "They stood like sentinels, bark" | | 1 | "She had to duck to" | | 2 | "It grew heavy, sweet, and" | | 3 | "They were not supposed to" | | 4 | "She registered it, filed it" | | 5 | "She had come for the" | | 6 | "Her unknown benefactor’s gift was" | | 7 | "She needed to find the" | | 8 | "She cataloged the silence." | | 9 | "She checked her wristwatch." | | 10 | "She tapped the glass." | | 11 | "She counted her steps instead." | | 12 | "Her breath plumed in front" | | 13 | "She pressed two fingers to" | | 14 | "It was wrong." | | 15 | "She kept moving." | | 16 | "It was not her pulse." | | 17 | "She knelt, brushing aside a" | | 18 | "She touched it with the" | | 19 | "It was warm." |
| | ratio | 0.383 | |
| 30.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 103 | | totalSentences | 120 | | matches | | 0 | "The iron gate of Richmond" | | 1 | "Rory adjusted the strap of" | | 2 | "They stood like sentinels, bark" | | 3 | "She had to duck to" | | 4 | "The air changed on the" | | 5 | "It grew heavy, sweet, and" | | 6 | "Wildflowers pushed through the moss" | | 7 | "They were not supposed to" | | 8 | "Rory knew this." | | 9 | "She registered it, filed it" | | 10 | "She had come for the" | | 11 | "The pendant had begun to" | | 12 | "A Hel portal." | | 13 | "That was the only explanation." | | 14 | "Her unknown benefactor’s gift was" | | 15 | "She needed to find the" | | 16 | "Rory moved with practiced quiet," | | 17 | "She cataloged the silence." | | 18 | "The absence of distant traffic," | | 19 | "She checked her wristwatch." |
| | ratio | 0.858 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 120 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 4 | | matches | | 0 | "The pendant had begun to burn three blocks from the park entrance, a steady, insistent thrum that vibrated through her collarbone and settled in her teeth." | | 1 | "Rory moved with practiced quiet, her boots pressing into the damp earth without sinking." | | 2 | "The absence of distant traffic, the absence of wind in the high branches, replaced by a low, resonant hum that seemed to originate in the soil itself." | | 3 | "The Heartstone, no larger than a thumbnail, cast a faint inner light that made the wildflowers twitch." |
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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 | |