| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 577 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 13.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 577 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "footsteps" | | 1 | "echoed" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "familiar" | | 5 | "silence" | | 6 | "pounding" | | 7 | "sense of" |
| |
| 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 | 1 | | narrationSentences | 58 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 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 | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 577 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.07% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 572 | | uniqueNames | 7 | | maxNameDensity | 1.4 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Fae | 2 | | Grove | 4 | | Richmond | 2 | | Park | 2 | | Heartstone | 2 | | Aurora | 8 | | Silence | 1 |
| | persons | | | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" |
| | globalScore | 0.801 | | windowScore | 1 | |
| 47.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed deeper now, more concealing" | | 1 | "seemed brighter here, the air cleaner" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 577 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 58 | | matches | | |
| 53.79% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 33.94 | | std | 11.48 | | cv | 0.338 | | sampleLengths | | 0 | 48 | | 1 | 34 | | 2 | 8 | | 3 | 26 | | 4 | 12 | | 5 | 31 | | 6 | 38 | | 7 | 52 | | 8 | 45 | | 9 | 38 | | 10 | 25 | | 11 | 46 | | 12 | 34 | | 13 | 43 | | 14 | 31 | | 15 | 36 | | 16 | 30 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 101 | | matches | (empty) | |
| 93.60% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 58 | | ratio | 0.017 | | matches | | 0 | "The sounds of pursuit followed - crashes of undergrowth, crackling leaves, the panting of breath." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 572 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.038461538461538464 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006993006993006993 | |
| 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 | 9.95 | | std | 4.59 | | cv | 0.462 | | sampleLengths | | 0 | 17 | | 1 | 14 | | 2 | 17 | | 3 | 12 | | 4 | 14 | | 5 | 8 | | 6 | 8 | | 7 | 10 | | 8 | 16 | | 9 | 10 | | 10 | 2 | | 11 | 6 | | 12 | 16 | | 13 | 9 | | 14 | 5 | | 15 | 4 | | 16 | 12 | | 17 | 8 | | 18 | 9 | | 19 | 8 | | 20 | 7 | | 21 | 15 | | 22 | 14 | | 23 | 8 | | 24 | 9 | | 25 | 6 | | 26 | 10 | | 27 | 14 | | 28 | 6 | | 29 | 13 | | 30 | 10 | | 31 | 15 | | 32 | 4 | | 33 | 4 | | 34 | 7 | | 35 | 10 | | 36 | 2 | | 37 | 25 | | 38 | 5 | | 39 | 9 | | 40 | 5 | | 41 | 15 | | 42 | 9 | | 43 | 8 | | 44 | 2 | | 45 | 15 | | 46 | 8 | | 47 | 20 | | 48 | 7 | | 49 | 13 |
| |
| 56.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3793103448275862 | | totalSentences | 58 | | uniqueOpeners | 22 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 55 | | matches | | 0 | "More than one pair of" | | 1 | "Only then did she allow" |
| | ratio | 0.036 | |
| 89.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 55 | | matches | | 0 | "She reached up to touch" | | 1 | "she called, hating the quaver" | | 2 | "It carried a scent both" | | 3 | "She spun, heart pounding." | | 4 | "It did nothing to dispel" | | 5 | "She'd been foolish to come" | | 6 | "It set her teeth on" | | 7 | "Her skin prickled, some primal" | | 8 | "She should never have come" | | 9 | "She was not alone." | | 10 | "She'd never been alone." | | 11 | "They'd been there all along," | | 12 | "She didn't remember deciding to" | | 13 | "They all but screamed" | | 14 | "She gulped it down, scrubbing" | | 15 | "She didn't look back, didn't" | | 16 | "She'd come seeking power and" | | 17 | "She didn't know what she'd" |
| | ratio | 0.327 | |
| 32.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 55 | | matches | | 0 | "Aurora's footsteps echoed on the" | | 1 | "The ancient oak standing stones" | | 2 | "She reached up to touch" | | 3 | "The deep crimson gem pulsed" | | 4 | "A faint inner glow emanated" | | 5 | "a voice rasped from the" | | 6 | "Aurora whirled to face the" | | 7 | "The voice had been hoarse," | | 8 | "she called, hating the quaver" | | 9 | "The wind rose, rattling the" | | 10 | "It carried a scent both" | | 11 | "Aurora covered her nose, breathing" | | 12 | "A twig snapped behind her." | | 13 | "She spun, heart pounding." | | 14 | "The clearing remained empty, the" | | 15 | "The sense of wrongness she'd" | | 16 | "The pendant's glow brightened, turning" | | 17 | "It did nothing to dispel" | | 18 | "She'd been foolish to come" | | 19 | "The police couldn't help her," |
| | ratio | 0.855 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "She gulped it down, scrubbing at her face as if she could wipe away the lingering wrongness of the Grove." |
| |
| 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 | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |