| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 989 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sharply" | | 1 | "gently" | | 2 | "slowly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 989 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "dancing" | | 1 | "echoing" | | 2 | "chill" | | 3 | "comforting" | | 4 | "warmth" | | 5 | "intricate" | | 6 | "traced" | | 7 | "weight" | | 8 | "echo" | | 9 | "pounding" | | 10 | "silence" | | 11 | "enigmatic" | | 12 | "echoed" | | 13 | "flicker" | | 14 | "tension" | | 15 | "dance" | | 16 | "fluttered" | | 17 | "measured" | | 18 | "unwavering" | | 19 | "unspoken" | | 20 | "pumping" |
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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 | 58 | | matches | (empty) | |
| 44.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 58 | | filterMatches | (empty) | | 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 | 58 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 987 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 977 | | uniqueNames | 7 | | maxNameDensity | 0.92 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Grove | 4 | | Aurora | 9 | | Isolde | 2 | | Queen | 1 | | Stars | 1 | | Heartstone | 1 | | Pendant | 1 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed indifferent its eyes unwavering, fixed upon Aurora" |
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| 98.68% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.013 | | wordCount | 987 | | matches | | 0 | "not a static point but a moving flame, weaving through the underbrush" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 24.27% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 58.06 | | std | 13.64 | | cv | 0.235 | | sampleLengths | | 0 | 62 | | 1 | 74 | | 2 | 68 | | 3 | 78 | | 4 | 72 | | 5 | 66 | | 6 | 66 | | 7 | 44 | | 8 | 59 | | 9 | 68 | | 10 | 34 | | 11 | 45 | | 12 | 44 | | 13 | 58 | | 14 | 55 | | 15 | 64 | | 16 | 30 |
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| 93.16% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 58 | | matches | | 0 | "been left" | | 1 | "was, beckoned" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 166 | | matches | (empty) | |
| 44.33% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 58 | | ratio | 0.034 | | matches | | 0 | "Her eyes traced their erratic paths, noting the density of their numbers as they filled the air, until a gap in their ranks revealed something darker—a shape approaching." | | 1 | "It stepped from the shadows, its form cloaked in darkness, revealing nothing but two luminous points—eyes that glowed like embers in the night." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 979 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.024514811031664963 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006128702757916241 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 58 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 58 | | mean | 17.02 | | std | 6.88 | | cv | 0.404 | | sampleLengths | | 0 | 24 | | 1 | 18 | | 2 | 20 | | 3 | 25 | | 4 | 22 | | 5 | 27 | | 6 | 24 | | 7 | 19 | | 8 | 25 | | 9 | 28 | | 10 | 8 | | 11 | 5 | | 12 | 19 | | 13 | 4 | | 14 | 14 | | 15 | 18 | | 16 | 15 | | 17 | 21 | | 18 | 18 | | 19 | 17 | | 20 | 18 | | 21 | 12 | | 22 | 19 | | 23 | 16 | | 24 | 16 | | 25 | 19 | | 26 | 15 | | 27 | 22 | | 28 | 22 | | 29 | 17 | | 30 | 10 | | 31 | 16 | | 32 | 7 | | 33 | 9 | | 34 | 26 | | 35 | 11 | | 36 | 31 | | 37 | 9 | | 38 | 9 | | 39 | 16 | | 40 | 17 | | 41 | 28 | | 42 | 13 | | 43 | 5 | | 44 | 26 | | 45 | 23 | | 46 | 11 | | 47 | 10 | | 48 | 14 | | 49 | 14 |
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| 58.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3793103448275862 | | totalSentences | 58 | | uniqueOpeners | 22 | |
| 57.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 58 | | matches | | 0 | "Perhaps this was what led" |
| | ratio | 0.017 | |
| 95.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 58 | | matches | | 0 | "Her heart hammered a nervous" | | 1 | "She promised knowledge of the" | | 2 | "They were warnings, not invitations." | | 3 | "Her fingers traced the deep" | | 4 | "Her thumb brushed the cool" | | 5 | "It had been left on" | | 6 | "She had felt its draw," | | 7 | "She froze, willing her ears" | | 8 | "She paused, breath caught, her" | | 9 | "It seemed to flow, not" | | 10 | "she breathed, the word escaping" | | 11 | "Her eyes traced their erratic" | | 12 | "She started to backpedal, her" | | 13 | "It stepped from the shadows," | | 14 | "It moved with silent grace," | | 15 | "It seemed indifferent, its eyes" | | 16 | "Its approach was slow, measured." | | 17 | "She turned, her feet carrying" |
| | ratio | 0.31 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 58 | | matches | | 0 | "The narrow pathway wound like" | | 1 | "Aurora, armed with nothing more" | | 2 | "Her heart hammered a nervous" | | 3 | "The evening's chill slid beneath" | | 4 | "The Grove had a reputation," | | 5 | "The woman's voice, thick with" | | 6 | "Aurora had sought guidance from" | | 7 | "She promised knowledge of the" | | 8 | "These markers were not meant" | | 9 | "They were warnings, not invitations." | | 10 | "Her fingers traced the deep" | | 11 | "Her thumb brushed the cool" | | 12 | "It had been left on" | | 13 | "She had felt its draw," | | 14 | "A rustle in the underbrush" | | 15 | "She froze, willing her ears" | | 16 | "Silence reigned, disturbed only by" | | 17 | "The path forked ahead, the" | | 18 | "The standing stones framed the" | | 19 | "Aurora's instincts screamed at her" |
| | ratio | 0.672 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 58 | | matches | | 0 | "Yet, as her torchlight glinted" | | 1 | "Yet, something compelled her forward," | | 2 | "Yet, even as the first" | | 3 | "Yet, even as she ran," |
| | ratio | 0.069 | |
| 65.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 5 | | matches | | 0 | "Her heart hammered a nervous tattoo against her ribs, echoing the insistent thrum of the bassline reverberating in the distance." | | 1 | "A rustle in the underbrush ahead made Aurora start, her heart stuttering before resuming its anxious rhythm." | | 2 | "Each step now echoed through the forest, the gravel crunching beneath her boots, announcing her presence to whatever unseen forces lurked nearby." | | 3 | "The light darted forward, revealing itself as a luminescent moth, its wings shimmering in the darkness, leaving a trail of phosphorescent dots floating in the a…" | | 4 | "She turned, her feet carrying her away, instinct driving her to flee." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "she breathed, the word escaping her lips unbidden" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she breathed (breathe)" |
| | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |