| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.118 | | leniency | 0.235 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 752 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 0.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 752 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "familiar" | | 1 | "crystal" | | 2 | "flicked" | | 3 | "scanning" | | 4 | "weight" | | 5 | "etched" | | 6 | "measured" | | 7 | "silence" | | 8 | "unspoken" | | 9 | "echoing" | | 10 | "echo" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 33 | | matches | (empty) | |
| 99.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 33 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 48 | | 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 | 750 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 46.23% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 530 | | uniqueNames | 7 | | maxNameDensity | 2.08 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Aurora | 9 | | Silas | 11 | | Prague | 1 | | Evan | 1 | | Cardiff | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Aurora" | | 3 | "Silas" | | 4 | "Evan" |
| | places | | | globalScore | 0.462 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.667 | | wordCount | 750 | | matches | | 0 | "not as a burden but as a quiet acknowledgment of what had been lost" | | 1 | "not as a plea but as a possibility, fragile" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 48 | | matches | (empty) | |
| 62.66% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 32.61 | | std | 12.04 | | cv | 0.369 | | sampleLengths | | 0 | 45 | | 1 | 37 | | 2 | 25 | | 3 | 44 | | 4 | 18 | | 5 | 39 | | 6 | 37 | | 7 | 32 | | 8 | 30 | | 9 | 25 | | 10 | 31 | | 11 | 41 | | 12 | 38 | | 13 | 22 | | 14 | 28 | | 15 | 22 | | 16 | 24 | | 17 | 20 | | 18 | 67 | | 19 | 19 | | 20 | 19 | | 21 | 32 | | 22 | 55 |
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| 94.63% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 33 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 81 | | matches | | |
| 23.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 48 | | ratio | 0.042 | | matches | | 0 | "Aurora’s jaw tightened, the memory of Evan’s voice flashing behind her eyes—sharp, cruel, a sound she had tried to outrun." | | 1 | "A silence settled between them, thick with the unspoken words that had hovered for years—Aurora’s regret for abandoning the safety net Silas had offered, Silas’s regret for not being able to shield her from the storm that chased her out of Cardiff." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 532 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.020676691729323307 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.009398496240601503 | |
| 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 | 15.63 | | std | 7.26 | | cv | 0.465 | | sampleLengths | | 0 | 20 | | 1 | 14 | | 2 | 11 | | 3 | 18 | | 4 | 19 | | 5 | 25 | | 6 | 22 | | 7 | 22 | | 8 | 18 | | 9 | 11 | | 10 | 17 | | 11 | 11 | | 12 | 17 | | 13 | 11 | | 14 | 9 | | 15 | 11 | | 16 | 14 | | 17 | 7 | | 18 | 9 | | 19 | 21 | | 20 | 15 | | 21 | 10 | | 22 | 13 | | 23 | 18 | | 24 | 20 | | 25 | 21 | | 26 | 20 | | 27 | 18 | | 28 | 8 | | 29 | 14 | | 30 | 7 | | 31 | 21 | | 32 | 8 | | 33 | 14 | | 34 | 16 | | 35 | 8 | | 36 | 8 | | 37 | 12 | | 38 | 42 | | 39 | 25 | | 40 | 12 | | 41 | 7 | | 42 | 9 | | 43 | 10 | | 44 | 15 | | 45 | 17 | | 46 | 15 | | 47 | 40 |
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| 55.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.3333333333333333 | | totalSentences | 48 | | uniqueOpeners | 16 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 33 | | matches | (empty) | | ratio | 0 | |
| 62.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 33 | | matches | | 0 | "She paused just inside, letting" | | 1 | "His hazel eyes flicked to" | | 2 | "he said, voice low, the" | | 3 | "She wore a fitted leather" | | 4 | "she replied, her tone flat," | | 5 | "He pushed himself up, the" | | 6 | "She rubbed it absently, the" | | 7 | "He tilted his head, studying" | | 8 | "She stepped closer, the heel" | | 9 | "She crossed her arms, the" | | 10 | "He tapped the bar twice," | | 11 | "She stared at the empty" | | 12 | "She sat, the leather of" |
| | ratio | 0.394 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 33 | | matches | | 0 | "Aurora shoved the door of" | | 1 | "The smell of stale whiskey" | | 2 | "She paused just inside, letting" | | 3 | "Silas looked up from the" | | 4 | "His hazel eyes flicked to" | | 5 | "he said, voice low, the" | | 6 | "Aurora pushed a strand of" | | 7 | "She wore a fitted leather" | | 8 | "she replied, her tone flat," | | 9 | "Silas set the glass down," | | 10 | "He pushed himself up, the" | | 11 | "Aurora’s gaze fell to the" | | 12 | "She rubbed it absently, the" | | 13 | "Silas leaned against the bar," | | 14 | "He tilted his head, studying" | | 15 | "Aurora let out a short" | | 16 | "Silas’s fingers curled around the" | | 17 | "She stepped closer, the heel" | | 18 | "Silas nodded, his eyes dropping" | | 19 | "Aurora’s jaw tightened, the memory" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 33 | | matches | (empty) | | ratio | 0 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 3 | | matches | | 0 | "He tilted his head, studying the lines that had etched themselves around her mouth." | | 1 | "A silence settled between them, thick with the unspoken words that had hovered for years—Aurora’s regret for abandoning the safety net Silas had offered, Silas’…" | | 2 | "She sat, the leather of her jacket creaking as she settled, and looked at Silas across the bar, the space between them filled with the echo of years and the qui…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, voice low, the rasp of old tobacco lingering" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.118 | | leniency | 0.235 | | rawRatio | 0 | | effectiveRatio | 0 | |