| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her voice carried strangely [strangely]" |
| | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |
| 88.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 879 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 879 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "loomed" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "throb" | | 4 | "navigated" | | 5 | "chill" | | 6 | "scanning" | | 7 | "whisper" | | 8 | "footsteps" | | 9 | "flickered" | | 10 | "silence" | | 11 | "pulse" | | 12 | "quickened" | | 13 | "flicker" | | 14 | "fluttered" | | 15 | "stomach" | | 16 | "familiar" | | 17 | "weight" |
| |
| 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 | 101 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 101 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | 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 | 878 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.86% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 863 | | uniqueNames | 7 | | maxNameDensity | 1.04 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | London | 2 | | Heartstone | 1 | | October | 2 | | Silence | 1 | | Aurora | 9 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.979 | | windowScore | 1 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed muffled as if the earth itself absorbed sound" | | 1 | "Not quite music, not quite voice" | | 2 | "not quite voice" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 878 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 23.73 | | std | 14.46 | | cv | 0.609 | | sampleLengths | | 0 | 40 | | 1 | 44 | | 2 | 60 | | 3 | 5 | | 4 | 41 | | 5 | 26 | | 6 | 6 | | 7 | 37 | | 8 | 8 | | 9 | 45 | | 10 | 10 | | 11 | 30 | | 12 | 9 | | 13 | 25 | | 14 | 17 | | 15 | 10 | | 16 | 43 | | 17 | 13 | | 18 | 42 | | 19 | 4 | | 20 | 13 | | 21 | 33 | | 22 | 20 | | 23 | 40 | | 24 | 30 | | 25 | 5 | | 26 | 22 | | 27 | 33 | | 28 | 28 | | 29 | 27 | | 30 | 9 | | 31 | 26 | | 32 | 19 | | 33 | 5 | | 34 | 31 | | 35 | 16 | | 36 | 6 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 154 | | matches | | 0 | "was playing" | | 1 | "wasn't looking" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 104 | | ratio | 0 | | matches | (empty) | |
| 96.52% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 864 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.04398148148148148 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013888888888888888 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 8.44 | | std | 5.72 | | cv | 0.678 | | sampleLengths | | 0 | 23 | | 1 | 13 | | 2 | 2 | | 3 | 2 | | 4 | 13 | | 5 | 18 | | 6 | 13 | | 7 | 20 | | 8 | 12 | | 9 | 6 | | 10 | 12 | | 11 | 10 | | 12 | 5 | | 13 | 5 | | 14 | 11 | | 15 | 25 | | 16 | 11 | | 17 | 2 | | 18 | 5 | | 19 | 8 | | 20 | 6 | | 21 | 5 | | 22 | 1 | | 23 | 5 | | 24 | 21 | | 25 | 5 | | 26 | 7 | | 27 | 1 | | 28 | 24 | | 29 | 17 | | 30 | 2 | | 31 | 2 | | 32 | 10 | | 33 | 3 | | 34 | 6 | | 35 | 9 | | 36 | 12 | | 37 | 9 | | 38 | 10 | | 39 | 12 | | 40 | 3 | | 41 | 13 | | 42 | 4 | | 43 | 3 | | 44 | 7 | | 45 | 14 | | 46 | 12 | | 47 | 7 | | 48 | 6 | | 49 | 4 |
| |
| 83.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5096153846153846 | | totalSentences | 104 | | uniqueOpeners | 53 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 86 | | matches | | 0 | "Even her footsteps seemed muffled," | | 1 | "Instead, she kept the torch" | | 2 | "Too many to count." | | 3 | "Too still to be living." | | 4 | "Even the time had stopped." |
| | ratio | 0.058 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 86 | | matches | | 0 | "She'd followed its pull here," | | 1 | "She'd need to trust the" | | 2 | "She pulled out her torch," | | 3 | "Her mind was playing tricks." | | 4 | "She followed its guidance deeper" | | 5 | "She spun towards it, torch" | | 6 | "Her voice carried strangely here," | | 7 | "She didn't turn her head." | | 8 | "It matched her pace, staying" | | 9 | "She risked a direct look." | | 10 | "It rose and fell in" | | 11 | "Her mouth went dry." | | 12 | "It wanted her to go" | | 13 | "She couldn't make out features" |
| | ratio | 0.163 | |
| 87.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 86 | | matches | | 0 | "The ancient oaks loomed against" | | 1 | "Aurora checked her phone one" | | 2 | "The Heartstone pendant pulsed against" | | 3 | "She'd followed its pull here," | | 4 | "Whatever drew her to this" | | 5 | "Wildflowers carpeted the clearing despite" | | 6 | "The air tasted of copper" | | 7 | "Time moved differently here, she" | | 8 | "An hour inside could stretch" | | 9 | "She'd need to trust the" | | 10 | "A twig snapped behind her." | | 11 | "Aurora turned, scanning the treeline." | | 12 | "Shadows pooled between the oaks" | | 13 | "The city's constant hum had" | | 14 | "She pulled out her torch," | | 15 | "Flowers swaying in the breeze." | | 16 | "The same gnarled oaks she'd" | | 17 | "Aurora blinked, shaking her head." | | 18 | "That had to be it." | | 19 | "The pendant's pull, the strange" |
| | ratio | 0.744 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "The ancient oaks loomed against the Richmond Park skyline, their branches twisted into shapes that belonged in fever dreams rather than London suburbs." | | 1 | "Wildflowers carpeted the clearing despite the October chill, their blooms glowing faintly in moonlight that seemed too bright, too cold." | | 2 | "It rose and fell in patterns that made her stomach clench with recognition she couldn't name." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |