| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1868 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "very" | | 2 | "quickly" |
| |
| 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) | |
| 67.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1868 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulse" | | 1 | "throbbed" | | 2 | "trembled" | | 3 | "silence" | | 4 | "whisper" | | 5 | "familiar" | | 6 | "warmth" | | 7 | "pounding" |
| |
| 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 | 205 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 205 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 215 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1868 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.02% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1811 | | uniqueNames | 5 | | maxNameDensity | 1.16 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Park | 1 | | Eva | 2 | | Yu-Fei | 1 | | London | 1 | | Rory | 21 |
| | persons | | | places | | | globalScore | 0.92 | | windowScore | 1 | |
| 67.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 121 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like it had been forced through pa" | | 1 | "sounded like someone smiling with too many" | | 2 | "looked like Eva in the first brutal secon" | | 3 | "as if bowing" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.535 | | wordCount | 1868 | | matches | | 0 | "not a word but the shape of one, countless mouths speaking around her at on" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 215 | | matches | | 0 | "knew that mark" | | 1 | "knew that voice" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 110 | | mean | 16.98 | | std | 18.85 | | cv | 1.11 | | sampleLengths | | 0 | 15 | | 1 | 76 | | 2 | 6 | | 3 | 2 | | 4 | 39 | | 5 | 21 | | 6 | 10 | | 7 | 40 | | 8 | 29 | | 9 | 34 | | 10 | 20 | | 11 | 9 | | 12 | 2 | | 13 | 1 | | 14 | 51 | | 15 | 5 | | 16 | 1 | | 17 | 30 | | 18 | 31 | | 19 | 3 | | 20 | 10 | | 21 | 12 | | 22 | 2 | | 23 | 56 | | 24 | 1 | | 25 | 26 | | 26 | 9 | | 27 | 41 | | 28 | 8 | | 29 | 7 | | 30 | 5 | | 31 | 13 | | 32 | 5 | | 33 | 75 | | 34 | 3 | | 35 | 4 | | 36 | 8 | | 37 | 26 | | 38 | 16 | | 39 | 13 | | 40 | 2 | | 41 | 5 | | 42 | 5 | | 43 | 42 | | 44 | 14 | | 45 | 4 | | 46 | 42 | | 47 | 1 | | 48 | 2 | | 49 | 6 |
| |
| 98.42% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 205 | | matches | | 0 | "been crushed" | | 1 | "been scratched" | | 2 | "been forced" | | 3 | "been painted" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 279 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 215 | | ratio | 0 | | matches | (empty) | |
| 95.82% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 268 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.04477611940298507 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.007462686567164179 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 215 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 215 | | mean | 8.69 | | std | 7.53 | | cv | 0.867 | | sampleLengths | | 0 | 15 | | 1 | 10 | | 2 | 29 | | 3 | 27 | | 4 | 10 | | 5 | 6 | | 6 | 2 | | 7 | 9 | | 8 | 12 | | 9 | 18 | | 10 | 8 | | 11 | 2 | | 12 | 2 | | 13 | 9 | | 14 | 2 | | 15 | 3 | | 16 | 5 | | 17 | 20 | | 18 | 5 | | 19 | 5 | | 20 | 10 | | 21 | 12 | | 22 | 2 | | 23 | 2 | | 24 | 2 | | 25 | 3 | | 26 | 8 | | 27 | 34 | | 28 | 20 | | 29 | 9 | | 30 | 2 | | 31 | 1 | | 32 | 11 | | 33 | 4 | | 34 | 22 | | 35 | 14 | | 36 | 5 | | 37 | 1 | | 38 | 2 | | 39 | 2 | | 40 | 15 | | 41 | 3 | | 42 | 8 | | 43 | 9 | | 44 | 6 | | 45 | 7 | | 46 | 2 | | 47 | 7 | | 48 | 3 | | 49 | 10 |
| |
| 39.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.2744186046511628 | | totalSentences | 215 | | uniqueOpeners | 59 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 11 | | totalSentences | 168 | | matches | | 0 | "Only the small sounds, the" | | 1 | "Just a smooth, blank front" | | 2 | "Then the torch light slid" | | 3 | "Then another sound, close to" | | 4 | "Too quick to make out" | | 5 | "Slowly, she turned her head." | | 6 | "Too many knuckles." | | 7 | "Then a face pushed into" | | 8 | "Then the features slid, as" | | 9 | "Only smooth skin and a" | | 10 | "Only a shape made of" |
| | ratio | 0.065 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 168 | | matches | | 0 | "Her pendant gave one small," | | 1 | "She caught it in her" | | 2 | "She loosened the chain from" | | 3 | "She shifted the rucksack on" | | 4 | "She had followed the instructions" | | 5 | "Her hand went to the" | | 6 | "She thumbed it on." | | 7 | "Her beam caught a white" | | 8 | "She swept the light lower." | | 9 | "She rubbed it between thumb" | | 10 | "She rose too fast, pendant" | | 11 | "They were not fox teeth." | | 12 | "It grew warm enough to" | | 13 | "She lifted it from her" | | 14 | "It wore a long dark" | | 15 | "She pivoted, light jerking, heart" | | 16 | "She moved to the centre" | | 17 | "Her pendant gave one sharp," | | 18 | "She looked down." | | 19 | "She knew that mark." |
| | ratio | 0.238 | |
| 67.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 132 | | totalSentences | 168 | | matches | | 0 | "Rory shoved through the curtain" | | 1 | "The clearing sat ahead of" | | 2 | "Wildflowers crowded every patch of" | | 3 | "Her pendant gave one small," | | 4 | "She caught it in her" | | 5 | "The crimson stone throbbed again," | | 6 | "She loosened the chain from" | | 7 | "The faint inner glow tightened," | | 8 | "Rory slipped her phone back" | | 9 | "She shifted the rucksack on" | | 10 | "A leaf turning over itself." | | 11 | "A branch ticking against stone." | | 12 | "Something wet, somewhere behind the" | | 13 | "She had followed the instructions" | | 14 | "The last part had made" | | 15 | "A shape moved at the" | | 16 | "Her hand went to the" | | 17 | "She thumbed it on." | | 18 | "A cone of pale light" | | 19 | "Her beam caught a white" |
| | ratio | 0.786 | |
| 59.52% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 168 | | matches | | 0 | "Now she stood with her" | | 1 | "Now the surface showed a" |
| | ratio | 0.012 | |
| 31.25% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 10 | | matches | | 0 | "Ancient oak standing stones ringed it in a loose crown, their bark split with age, their roots fused into the earth as if they had grown there by choice." | | 1 | "Wildflowers crowded every patch of open ground, white and blue and blood-red, too fresh for a place that should have been crushed flat by deer and mud." | | 2 | "The faint inner glow tightened, then dimmed, as if something inside the grove had noticed her noticing it." | | 3 | "Just a smooth, blank front where features should have been, as if skin had grown over everything and forgotten to stop." | | 4 | "It wore a long dark coat that hung limp from narrow shoulders, and its hands rested at its sides, fingers too long, joints bent the wrong way." | | 5 | "She had seen it once, in a ledger Eva had shoved under her nose after a long shift and too much coffee, in the margin beside the word portal, written in a hand …" | | 6 | "Now the surface showed a deep line where none had been, a seam splitting down the centre of the standing stone, as if something inside it had pressed outward an…" | | 7 | "The crimson stone glowed brighter than before, and beneath its surface something moved, a shadow passing through the gem as if a door had opened inside it." | | 8 | "The flowers around it bent low, petals folding inward as if bowing." | | 9 | "Flowers burst up around Rory’s boots in a frenzy of stems and petals, pressing at her ankles, climbing her shins like grasping hands." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 16.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 15 | | tagDensity | 0.267 | | leniency | 0.533 | | rawRatio | 0.5 | | effectiveRatio | 0.267 | |