| 33.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.2 | | effectiveRatio | 0.167 | |
| 81.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2201 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "very" | | 1 | "sweetly" | | 2 | "suddenly" | | 3 | "perfectly" | | 4 | "slowly" | | 5 | "sharply" |
| |
| 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) | |
| 61.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2201 | | totalAiIsms | 17 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "the last thing" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "pulsed" | | 1 | "silence" | | 2 | "chill" | | 3 | "the last thing" | | 4 | "etched" | | 5 | "flickered" | | 6 | "familiar" | | 7 | "velvet" | | 8 | "throbbed" | | 9 | "whisper" | | 10 | "stomach" | | 11 | "footsteps" | | 12 | "grave" | | 13 | "loomed" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 265 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 265 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 271 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2193 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 2167 | | uniqueNames | 10 | | maxNameDensity | 1.29 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Heartstone | 6 | | Silas | 1 | | October | 1 | | London | 1 | | Aurora | 28 | | Cardiff | 1 | | Evan | 2 | | One | 6 |
| | persons | | 0 | "Heartstone" | | 1 | "Silas" | | 2 | "Aurora" | | 3 | "Evan" | | 4 | "One" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Cardiff" |
| | globalScore | 0.854 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 152 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed farther across than it had from the threshold" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.912 | | wordCount | 2193 | | matches | | 0 | "not soil, not stone, but a yawning passage lined with shapes like roots" | | 1 | "not stone, but a yawning passage lined with shapes like roots" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 271 | | matches | | 0 | "learning that unease weakness; that the" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 169 | | mean | 12.98 | | std | 14.88 | | cv | 1.147 | | sampleLengths | | 0 | 11 | | 1 | 40 | | 2 | 8 | | 3 | 56 | | 4 | 14 | | 5 | 10 | | 6 | 52 | | 7 | 3 | | 8 | 1 | | 9 | 1 | | 10 | 6 | | 11 | 20 | | 12 | 62 | | 13 | 4 | | 14 | 8 | | 15 | 4 | | 16 | 68 | | 17 | 4 | | 18 | 9 | | 19 | 32 | | 20 | 5 | | 21 | 46 | | 22 | 29 | | 23 | 4 | | 24 | 21 | | 25 | 5 | | 26 | 5 | | 27 | 11 | | 28 | 5 | | 29 | 50 | | 30 | 4 | | 31 | 2 | | 32 | 2 | | 33 | 3 | | 34 | 3 | | 35 | 51 | | 36 | 5 | | 37 | 31 | | 38 | 2 | | 39 | 6 | | 40 | 23 | | 41 | 43 | | 42 | 5 | | 43 | 5 | | 44 | 4 | | 45 | 46 | | 46 | 5 | | 47 | 4 | | 48 | 6 | | 49 | 40 |
| |
| 97.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 265 | | matches | | 0 | "was covered" | | 1 | "been sewn" | | 2 | "was gone" | | 3 | "was gone" | | 4 | "was turned" | | 5 | "was flattened" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 345 | | matches | | 0 | "was following" | | 1 | "was burning" |
| |
| 79.60% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 271 | | ratio | 0.022 | | matches | | 0 | "Her phone light caught grooves in the rock—spirals, perhaps, or roots carved by an old hand—and then seemed to lose them when she blinked." | | 1 | "Wildflowers grew in the grass despite the season—bluebells, foxgloves, white stars of something she could not name—all nodding under the rain." | | 2 | "She had spent too many years learning that unease was information, not weakness; that the body often noticed danger before the mind had gathered enough facts to make a case." | | 3 | "But the pendant was burning against her chest, and the last thing the unknown benefactor had told her—on a scrap of paper folded beneath her door—had been four words." | | 4 | "For a moment, she saw depth beneath it—not soil, not stone, but a yawning passage lined with shapes like roots." | | 5 | "The ordinary world roared back all at once—the hiss of tyres from a distant road, wind through bare branches, her own ragged breathing." |
| |
| 95.34% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2184 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 99 | | adverbRatio | 0.04532967032967033 | | lyAdverbCount | 24 | | lyAdverbRatio | 0.01098901098901099 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 271 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 271 | | mean | 8.09 | | std | 6.06 | | cv | 0.749 | | sampleLengths | | 0 | 11 | | 1 | 26 | | 2 | 9 | | 3 | 5 | | 4 | 8 | | 5 | 21 | | 6 | 11 | | 7 | 24 | | 8 | 9 | | 9 | 5 | | 10 | 10 | | 11 | 13 | | 12 | 20 | | 13 | 19 | | 14 | 3 | | 15 | 1 | | 16 | 1 | | 17 | 6 | | 18 | 18 | | 19 | 2 | | 20 | 7 | | 21 | 12 | | 22 | 19 | | 23 | 12 | | 24 | 12 | | 25 | 4 | | 26 | 8 | | 27 | 4 | | 28 | 4 | | 29 | 34 | | 30 | 9 | | 31 | 21 | | 32 | 4 | | 33 | 9 | | 34 | 17 | | 35 | 8 | | 36 | 7 | | 37 | 5 | | 38 | 5 | | 39 | 11 | | 40 | 30 | | 41 | 29 | | 42 | 4 | | 43 | 2 | | 44 | 2 | | 45 | 17 | | 46 | 5 | | 47 | 5 | | 48 | 2 | | 49 | 4 |
| |
| 42.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.2730627306273063 | | totalSentences | 271 | | uniqueOpeners | 74 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 14 | | totalSentences | 234 | | matches | | 0 | "Just those words, inked in" | | 1 | "Then the rain." | | 2 | "Then the soft wet hiss" | | 3 | "Then 8:43 again." | | 4 | "Then the doll’s red-thread mouth" | | 5 | "Only a handful of people" | | 6 | "Then it was gone." | | 7 | "Instead, the puddle held the" | | 8 | "Just smooth, white skin and" | | 9 | "Then she noticed the rain." | | 10 | "Then the ground gave way." | | 11 | "Only the open seam." | | 12 | "Only trees, rain, and a" | | 13 | "Then, at the edge of" |
| | ratio | 0.06 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 66 | | totalSentences | 234 | | matches | | 0 | "She swore under her breath" | | 1 | "Her phone light caught grooves" | | 2 | "She had passed this way" | | 3 | "she said, because the sound" | | 4 | "Her breath fogged faintly in" | | 5 | "It was late October, but" | | 6 | "It smelled of crushed green" | | 7 | "It was not large." | | 8 | "She should have gone home." | | 9 | "She had spent too many" | | 10 | "She could hear her breathing," | | 11 | "Her light reached only a" | | 12 | "She could not see their" | | 13 | "Their lower branches twisted together" | | 14 | "She walked toward the center." | | 15 | "Her fingers closed hard over" | | 16 | "It might once have been" | | 17 | "It was covered in moss," | | 18 | "Her first thought was bird." | | 19 | "Her second was doll." |
| | ratio | 0.282 | |
| 90.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 173 | | totalSentences | 234 | | matches | | 0 | "Aurora found the first standing" | | 1 | "The next, her shoulder struck" | | 2 | "Pain ran down her arm." | | 3 | "She swore under her breath" | | 4 | "The stone rose out of" | | 5 | "Oak leaves clung to its" | | 6 | "Her phone light caught grooves" | | 7 | "She had passed this way" | | 8 | "There had been no stone." | | 9 | "Aurora put one hand around" | | 10 | "The pendant had been warm" | | 11 | "she said, because the sound" | | 12 | "Her breath fogged faintly in" | | 13 | "It was late October, but" | | 14 | "The park beyond the stone" | | 15 | "It smelled of crushed green" | | 16 | "Aurora raised her phone." | | 17 | "The torch beam reached between" | | 18 | "A clearing waited beyond." | | 19 | "It was not large." |
| | ratio | 0.739 | |
| 42.74% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 234 | | matches | | 0 | "By the time she reached" | | 1 | "Now it pulsed." |
| | ratio | 0.009 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 83 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.2 | | effectiveRatio | 0.167 | |