| 46.15% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "She replied automatically [automatically]" | | 1 | "Rory echoed faintly [faintly]" |
| | dialogueSentences | 24 | | tagDensity | 0.542 | | leniency | 1 | | rawRatio | 0.154 | | effectiveRatio | 0.154 | |
| 75.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1023 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "gently" | | 1 | "softly" | | 2 | "tightly" | | 3 | "lightly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 36.46% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1023 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "tracing" | | 3 | "echoed" | | 4 | "warmth" | | 5 | "echo" | | 6 | "firmly" |
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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 | 37 | | matches | (empty) | |
| 65.64% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 37 | | filterMatches | (empty) | | hedgeMatches | | |
| 89.08% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 48 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0.021 | | matches | | 0 | "Hisाअ silver signet ring glinted in the low light." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1018 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.38% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 790 | | uniqueNames | 7 | | maxNameDensity | 1.39 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Aurora | 2 | | Carter | 1 | | Blackwood | 1 | | Rory | 11 | | Silas | 8 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Aurora" | | 3 | "Carter" | | 4 | "Blackwood" | | 5 | "Rory" | | 6 | "Silas" |
| | places | (empty) | | globalScore | 0.804 | | windowScore | 1 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1018 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 48 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 33.93 | | std | 21.62 | | cv | 0.637 | | sampleLengths | | 0 | 52 | | 1 | 11 | | 2 | 49 | | 3 | 34 | | 4 | 58 | | 5 | 18 | | 6 | 46 | | 7 | 23 | | 8 | 43 | | 9 | 70 | | 10 | 14 | | 11 | 57 | | 12 | 15 | | 13 | 43 | | 14 | 27 | | 15 | 51 | | 16 | 53 | | 17 | 4 | | 18 | 69 | | 19 | 52 | | 20 | 45 | | 21 | 50 | | 22 | 10 | | 23 | 9 | | 24 | 3 | | 25 | 9 | | 26 | 61 | | 27 | 2 | | 28 | 2 | | 29 | 38 |
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| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 37 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 130 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 48 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 531 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 21 | | adverbRatio | 0.03954802259887006 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.015065913370998116 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 48 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 48 | | mean | 21.21 | | std | 10.76 | | cv | 0.507 | | sampleLengths | | 0 | 23 | | 1 | 29 | | 2 | 11 | | 3 | 27 | | 4 | 22 | | 5 | 25 | | 6 | 9 | | 7 | 20 | | 8 | 30 | | 9 | 8 | | 10 | 18 | | 11 | 46 | | 12 | 23 | | 13 | 16 | | 14 | 21 | | 15 | 6 | | 16 | 23 | | 17 | 36 | | 18 | 11 | | 19 | 14 | | 20 | 27 | | 21 | 30 | | 22 | 15 | | 23 | 22 | | 24 | 21 | | 25 | 27 | | 26 | 38 | | 27 | 13 | | 28 | 21 | | 29 | 32 | | 30 | 4 | | 31 | 37 | | 32 | 32 | | 33 | 28 | | 34 | 24 | | 35 | 30 | | 36 | 15 | | 37 | 21 | | 38 | 29 | | 39 | 10 | | 40 | 9 | | 41 | 3 | | 42 | 9 | | 43 | 21 | | 44 | 40 | | 45 | 2 | | 46 | 2 | | 47 | 38 |
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| 95.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6458333333333334 | | totalSentences | 48 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 57.84% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 37 | | matches | | 0 | "She glanced around the dimly" | | 1 | "he asked, setting the glass" | | 2 | "She tried to keep her" | | 3 | "He picked up his own" | | 4 | "She replied automatically, reaching for" | | 5 | "She lifted it to her" | | 6 | "It stung like chlorine, sharp" | | 7 | "Her fingers found the small" | | 8 | "She set her glass on" | | 9 | "She asked, noticing the limp" | | 10 | "His tone was light but" | | 11 | "They spoke of old friends" | | 12 | "They talked until the words" | | 13 | "She swung her legs over" | | 14 | "She extended her hand to" |
| | ratio | 0.405 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 37 | | matches | | 0 | "The heavy door of The" | | 1 | "She glanced around the dimly" | | 2 | "Silas Blackwood's voice carried a" | | 3 | "Rory felt the weight of" | | 4 | "he asked, setting the glass" | | 5 | "Hisाअ silver signet ring glinted" | | 6 | "Rory walked towards him, her" | | 7 | "She tried to keep her" | | 8 | "Memories teasing at the edges" | | 9 | "Silas smirked and threw the" | | 10 | "Rory said, gesturing towards the" | | 11 | "Silas retorted, pushing one of" | | 12 | "He picked up his own" | | 13 | "She replied automatically, reaching for" | | 14 | "She lifted it to her" | | 15 | "It stung like chlorine, sharp" | | 16 | "Silas proposed, raising his glass" | | 17 | "Rory echoed faintly and took" | | 18 | "Her fingers found the small" | | 19 | "Silas suggested, pulling out a" |
| | ratio | 0.946 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 7 | | matches | | 0 | "Rory walked towards him, her boots clicking on the worn floorboards, her shoulder-length black hair swinging gently with each step." | | 1 | "He picked up his own drink, holding it in his calloused hand, the silver of his ring catching the light again." | | 2 | "She lifted it to her nose and breathed in deeply, the rich scent washing over her, pulling her back to the nights they'd spent laughing, talking, and planning a…" | | 3 | "Her fingers found the small crescent-shaped scar on her left wrist, rubbing it absentmindedly as she looked around the room again, trying to find something fami…" | | 4 | "Rory hesitated for a moment before sliding onto the worn leather seat, the heels of her boots catching on the foot rest." | | 5 | "Hours passed, the bar filling with patrons seeking shelter from the chilly evening air, their conversations weaving around Rory and Silas like tendrils of smoke…" | | 6 | "She extended her hand to Silas who grasped it firmly in his, a silent promise that somehow, despite the years and the space stretching out between them, they wo…" |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "Rory could, the memories of whatever had happened darkening his features" | | 1 | "Rory shot back, a wry smile tugging at her lips" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "Silas retorted (retort)" | | 1 | "Silas proposed (propose)" | | 2 | "Silas suggested (suggest)" | | 3 | "Silas suggested (suggest)" |
| | dialogueSentences | 24 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.444 | | effectiveRatio | 0.333 | |