| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 564 | | 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) | |
| 11.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 564 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulsed" | | 1 | "flickered" | | 2 | "scanning" | | 3 | "echo" | | 4 | "silence" | | 5 | "weight" | | 6 | "whisper" | | 7 | "pulse" | | 8 | "loomed" |
| |
| 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 | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 557 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 551 | | uniqueNames | 8 | | maxNameDensity | 1.27 | | worstName | "Eva" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Heartstone | 4 | | Aurora | 1 | | Fae | 1 | | Grove | 1 | | Eva | 7 | | Hel | 1 | | Laughter | 1 | | Rory | 5 |
| | persons | | 0 | "Heartstone" | | 1 | "Aurora" | | 2 | "Grove" | | 3 | "Eva" | | 4 | "Rory" |
| | places | | | globalScore | 0.865 | | windowScore | 1 | |
| 85.90% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | 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 | 557 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 12.38 | | std | 12.99 | | cv | 1.05 | | sampleLengths | | 0 | 63 | | 1 | 27 | | 2 | 18 | | 3 | 23 | | 4 | 11 | | 5 | 9 | | 6 | 1 | | 7 | 36 | | 8 | 6 | | 9 | 2 | | 10 | 4 | | 11 | 35 | | 12 | 3 | | 13 | 3 | | 14 | 2 | | 15 | 2 | | 16 | 37 | | 17 | 8 | | 18 | 17 | | 19 | 5 | | 20 | 8 | | 21 | 11 | | 22 | 2 | | 23 | 7 | | 24 | 1 | | 25 | 45 | | 26 | 13 | | 27 | 9 | | 28 | 4 | | 29 | 3 | | 30 | 9 | | 31 | 17 | | 32 | 5 | | 33 | 4 | | 34 | 24 | | 35 | 3 | | 36 | 7 | | 37 | 3 | | 38 | 13 | | 39 | 9 | | 40 | 6 | | 41 | 7 | | 42 | 15 | | 43 | 14 | | 44 | 6 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 106 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 88 | | ratio | 0.057 | | matches | | 0 | "The Fae Grove should have been beautiful at night—silver-washed leaves, flowers glowing faintly underfoot—but the air clung thick and heavy, tasting of damp earth and something metallic." | | 1 | "The grove had gone utterly still—no wind, no rustle of leaves, just the slow, creeping certainty that she wasn’t alone." | | 2 | "She whipped around—still nothing." | | 3 | "The grove had never felt this big—trees stretched endlessly, paths twisting where they shouldn’t." | | 4 | "The pendant’s glow lit up the thing’s face—no face." |
| |
| 98.93% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 558 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.04121863799283154 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.012544802867383513 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 6.33 | | std | 5.18 | | cv | 0.819 | | sampleLengths | | 0 | 11 | | 1 | 25 | | 2 | 27 | | 3 | 11 | | 4 | 8 | | 5 | 4 | | 6 | 4 | | 7 | 4 | | 8 | 3 | | 9 | 7 | | 10 | 3 | | 11 | 1 | | 12 | 11 | | 13 | 10 | | 14 | 2 | | 15 | 2 | | 16 | 4 | | 17 | 5 | | 18 | 5 | | 19 | 4 | | 20 | 1 | | 21 | 18 | | 22 | 18 | | 23 | 6 | | 24 | 2 | | 25 | 4 | | 26 | 3 | | 27 | 2 | | 28 | 10 | | 29 | 20 | | 30 | 2 | | 31 | 1 | | 32 | 3 | | 33 | 2 | | 34 | 2 | | 35 | 6 | | 36 | 11 | | 37 | 8 | | 38 | 8 | | 39 | 4 | | 40 | 8 | | 41 | 4 | | 42 | 13 | | 43 | 5 | | 44 | 8 | | 45 | 5 | | 46 | 6 | | 47 | 2 | | 48 | 4 | | 49 | 3 |
| |
| 51.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3409090909090909 | | totalSentences | 88 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 69 | | matches | | 0 | "Then stepped toward her." | | 1 | "Just darkness where features should" | | 2 | "Then the whispers started." |
| | ratio | 0.043 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 69 | | matches | | 0 | "She clutched it between her" | | 1 | "Her boots sank into the" | | 2 | "She'd come to meet Eva," | | 3 | "She tapped it." | | 4 | "She turned sharply, scanning the" | | 5 | "Her voice didn’t echo" | | 6 | "She exhaled and forced herself" | | 7 | "She didn’t turn." | | 8 | "Her pulse hammered in her" | | 9 | "She whipped around—still nothing." | | 10 | "Her voice shook" | | 11 | "She took a step back." | | 12 | "She bolted, veering between the" | | 13 | "It didn’t turn." | | 14 | "Her breath came in ragged" | | 15 | "She backed away, step by" | | 16 | "It reached out." | | 17 | "Her hand closed around the" | | 18 | "She clutched the Heartstone and" | | 19 | "She sprinted, lungs burning, and" |
| | ratio | 0.29 | |
| 39.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 69 | | matches | | 0 | "The Heartstone pulsed against Aurora’s" | | 1 | "She clutched it between her" | | 2 | "The Fae Grove should have" | | 3 | "Her boots sank into the" | | 4 | "She'd come to meet Eva," | | 5 | "This was their place." | | 6 | "Rory checked her phone." | | 7 | "The screen flickered once before" | | 8 | "She tapped it." | | 9 | "The wind twisted through the" | | 10 | "She turned sharply, scanning the" | | 11 | "Something brushing through the undergrowth." | | 12 | "Her voice didn’t echo" | | 13 | "The grove swallowed sound." | | 14 | "She exhaled and forced herself" | | 15 | "The flowers here bloomed unnaturally" | | 16 | "The Heartstone hissed against her" | | 17 | "Something was behind her." | | 18 | "She didn’t turn." | | 19 | "The weight of eyes on" |
| | ratio | 0.841 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 2 | | matches | | 0 | "The flowers here bloomed unnaturally bright, petals edged in moonlight, but tonight they curled inward, as if hiding." | | 1 | "She bolted, veering between the oaks, their branches clawing at her arms." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |