| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 389 | | totalAiIsmAdverbs | 1 | | 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 | 389 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "flickered" | | 3 | "pulsed" | | 4 | "throb" | | 5 | "stomach" | | 6 | "weight" | | 7 | "whisper" |
| |
| 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 | 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 | 33 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 381 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 370 | | uniqueNames | 7 | | maxNameDensity | 0.81 | | worstName | "Carter" | | maxWindowNameDensity | 1 | | worstWindowName | "Carter" | | discoveredNames | | Heartstone | 1 | | Carter | 3 | | Rory | 3 | | Laila | 1 | | Aurora | 3 | | London | 1 | | Cardiff | 1 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Laila" | | 3 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 27 | | glossingSentenceCount | 1 | | matches | | 0 | "something like iron and decay" |
| |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 2.625 | | wordCount | 381 | | matches | | 0 | "not with a crunch, but with a wet, sucking sound" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 33 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 15 | | mean | 25.4 | | std | 23.33 | | cv | 0.919 | | sampleLengths | | 0 | 67 | | 1 | 4 | | 2 | 69 | | 3 | 54 | | 4 | 6 | | 5 | 46 | | 6 | 23 | | 7 | 5 | | 8 | 32 | | 9 | 7 | | 10 | 41 | | 11 | 8 | | 12 | 7 | | 13 | 3 | | 14 | 9 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 33 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 56 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 33 | | ratio | 0.152 | | matches | | 0 | "Aurora Carter—Rory, Laila, Aurora, Carter—paused mid-step, her boots crunching on the gravel of the old railway path." | | 1 | "The railway tracks stretched endlessly, but the trees lining them were wrong—too still, their branches twisting unnaturally, as if something had been pulling them this way for decades." | | 2 | "She’d felt it before—once, in the back of a taxi on the way to London from Cardiff—but this time, it was different." | | 3 | "She could almost see them—shapes moving just beyond the light, too still, too silent." | | 4 | "The ground beneath her boots gave way—not with a crunch, but with a wet, sucking sound." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 45 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 0 | | adverbRatio | 0 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 33 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 33 | | mean | 11.55 | | std | 6.5 | | cv | 0.563 | | sampleLengths | | 0 | 20 | | 1 | 17 | | 2 | 16 | | 3 | 14 | | 4 | 4 | | 5 | 12 | | 6 | 28 | | 7 | 29 | | 8 | 6 | | 9 | 14 | | 10 | 22 | | 11 | 12 | | 12 | 6 | | 13 | 9 | | 14 | 16 | | 15 | 14 | | 16 | 7 | | 17 | 12 | | 18 | 11 | | 19 | 5 | | 20 | 16 | | 21 | 10 | | 22 | 6 | | 23 | 7 | | 24 | 4 | | 25 | 3 | | 26 | 14 | | 27 | 6 | | 28 | 14 | | 29 | 8 | | 30 | 7 | | 31 | 3 | | 32 | 9 |
| |
| 37.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3333333333333333 | | totalSentences | 33 | | uniqueOpeners | 11 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 33 | | matches | | 0 | "Then it flared brighter, as" |
| | ratio | 0.03 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 6 | | totalSentences | 33 | | matches | | 0 | "She shouldn’t be here." | | 1 | "Her fingers tightened around the" | | 2 | "It pulsed again, deeper now," | | 3 | "She’d felt it before—once, in" | | 4 | "She could almost see them—shapes" | | 5 | "She took another step forward." |
| | ratio | 0.182 | |
| 35.76% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 28 | | totalSentences | 33 | | matches | | 0 | "The silver chain of the" | | 1 | "Aurora Carter—Rory, Laila, Aurora, Carter—paused" | | 2 | "The lantern she’d grabbed from" | | 3 | "The air smelled of damp" | | 4 | "She shouldn’t be here." | | 5 | "The moment she stepped through" | | 6 | "The railway tracks stretched endlessly," | | 7 | "The lantern’s light caught the" | | 8 | "Her fingers tightened around the" | | 9 | "It pulsed again, deeper now," | | 10 | "She’d felt it before—once, in" | | 11 | "The weight of it pressed" | | 12 | "A whisper slithered along her" | | 13 | "Rory exhaled sharply, her breath" | | 14 | "The path ahead was clear," | | 15 | "She could almost see them—shapes" | | 16 | "The kind of shapes that" | | 17 | "The lantern flickered again, and" | | 18 | "She took another step forward." | | 19 | "The ground beneath her boots" |
| | ratio | 0.848 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 33 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 2 | | matches | | 0 | "The silver chain of the Heartstone pendant hummed against her wrist, a pulse of warmth that shouldn’t have been there." | | 1 | "The railway tracks stretched endlessly, but the trees lining them were wrong—too still, their branches twisting unnaturally, as if something had been pulling th…" |
| |
| 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 | |