| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.071 | | leniency | 0.143 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1185 | | 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) | |
| 24.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1185 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "carried the weight" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "silence" | | 1 | "velvet" | | 2 | "pulse" | | 3 | "warmth" | | 4 | "carried the weight" | | 5 | "resonated" | | 6 | "vibrated" | | 7 | "charged" | | 8 | "crystalline" | | 9 | "shattered" | | 10 | "scanned" | | 11 | "comforting" | | 12 | "stomach" | | 13 | "chilled" | | 14 | "pulsed" | | 15 | "grave" |
| |
| 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 | 122 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 122 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 136 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1184 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 88.65% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1141 | | uniqueNames | 12 | | maxNameDensity | 1.23 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Pendant | 1 | | Hel | 1 | | Shade | 5 | | Fae-Forged | 2 | | Blade | 2 | | Nyx | 7 | | Rory | 14 | | Golden | 1 | | Empress | 1 |
| | persons | | 0 | "Pendant" | | 1 | "Shade" | | 2 | "Nyx" | | 3 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Hel" | | 3 | "Golden" |
| | globalScore | 0.887 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 31.08% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.689 | | wordCount | 1184 | | matches | | 0 | "neither heartbeat nor" | | 1 | "neither warm nor" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 136 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 26.31 | | std | 28.39 | | cv | 1.079 | | sampleLengths | | 0 | 68 | | 1 | 38 | | 2 | 37 | | 3 | 7 | | 4 | 1 | | 5 | 10 | | 6 | 31 | | 7 | 123 | | 8 | 13 | | 9 | 3 | | 10 | 27 | | 11 | 2 | | 12 | 52 | | 13 | 2 | | 14 | 2 | | 15 | 94 | | 16 | 3 | | 17 | 42 | | 18 | 2 | | 19 | 24 | | 20 | 3 | | 21 | 68 | | 22 | 73 | | 23 | 29 | | 24 | 3 | | 25 | 1 | | 26 | 10 | | 27 | 9 | | 28 | 3 | | 29 | 5 | | 30 | 44 | | 31 | 17 | | 32 | 35 | | 33 | 4 | | 34 | 24 | | 35 | 5 | | 36 | 65 | | 37 | 47 | | 38 | 5 | | 39 | 4 | | 40 | 67 | | 41 | 14 | | 42 | 1 | | 43 | 48 | | 44 | 19 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 122 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 197 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 136 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 590 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.025423728813559324 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.001694915254237288 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 136 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 136 | | mean | 8.71 | | std | 6.87 | | cv | 0.789 | | sampleLengths | | 0 | 8 | | 1 | 4 | | 2 | 28 | | 3 | 6 | | 4 | 6 | | 5 | 16 | | 6 | 8 | | 7 | 15 | | 8 | 2 | | 9 | 2 | | 10 | 11 | | 11 | 4 | | 12 | 6 | | 13 | 7 | | 14 | 20 | | 15 | 7 | | 16 | 1 | | 17 | 10 | | 18 | 3 | | 19 | 4 | | 20 | 14 | | 21 | 5 | | 22 | 5 | | 23 | 3 | | 24 | 30 | | 25 | 7 | | 26 | 18 | | 27 | 14 | | 28 | 5 | | 29 | 24 | | 30 | 2 | | 31 | 20 | | 32 | 2 | | 33 | 11 | | 34 | 3 | | 35 | 9 | | 36 | 18 | | 37 | 2 | | 38 | 2 | | 39 | 20 | | 40 | 21 | | 41 | 5 | | 42 | 4 | | 43 | 2 | | 44 | 2 | | 45 | 3 | | 46 | 13 | | 47 | 7 | | 48 | 6 | | 49 | 22 |
| |
| 42.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.2867647058823529 | | totalSentences | 136 | | uniqueOpeners | 39 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 108 | | matches | | 0 | "Then she heard everything." | | 1 | "Just leaves the size of" | | 2 | "Then the trees moved." |
| | ratio | 0.028 | |
| 90.37% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 108 | | matches | | 0 | "They looked like teeth." | | 1 | "She touched the silver chain" | | 2 | "Their form held the shape" | | 3 | "Their voice carried the weight" | | 4 | "It vibrated in her molars." | | 5 | "She stepped across the threshold." | | 6 | "Her exhale misted, though the" | | 7 | "She watched a stem inflate" | | 8 | "Her fingers hovered above a" | | 9 | "She had not drawn it," | | 10 | "It hungered for it." | | 11 | "They walked deeper." | | 12 | "Her boots sank without sound." | | 13 | "She glanced back." | | 14 | "Her footprints remained, small disturbances" | | 15 | "She scanned the canopy." | | 16 | "Their violet eyes remained distinct," | | 17 | "She stared into the spaces" | | 18 | "She caught a shape, tall" | | 19 | "It moved between two oaks" |
| | ratio | 0.324 | |
| 6.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 108 | | matches | | 0 | "The ancient oaks did not" | | 1 | "They looked like teeth." | | 2 | "Rory stood before the outermost" | | 3 | "The silence owned a texture," | | 4 | "She touched the silver chain" | | 5 | "The Heartstone Pendant hung inert" | | 6 | "Whatever doorway yawned before her," | | 7 | "Nyx coalesced beside her." | | 8 | "The Shade's silhouette sharpened into" | | 9 | "Violet eyes glowed like embers" | | 10 | "Their form held the shape" | | 11 | "Nyx tilted their head toward" | | 12 | "Their voice carried the weight" | | 13 | "Rory heard nothing." | | 14 | "A low thrum resonated from" | | 15 | "It vibrated in her molars." | | 16 | "She stepped across the threshold." | | 17 | "The temperature dropped." | | 18 | "Her exhale misted, though the" | | 19 | "The grove swallowed the path" |
| | ratio | 0.907 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 7 | | matches | | 0 | "Rory stood before the outermost ring, her breath shallow, her shoulder-length black hair plastered to her forehead by a drizzle that had soaked Richmond Park me…" | | 1 | "London's distant traffic vanished, replaced by a high, crystalline chiming that had no source." | | 2 | "Wildflowers carpeted the earth in impossible hues, petals of bruised violet and feverish gold that opened and closed with an indifference to any sun." | | 3 | "Moss gave way to polished obsidian pebbles that clicked beneath her boots, then to loam so dark it glistened like wet earth." | | 4 | "The ripples spread outward, and with them came sound: a chorus of voices speaking in unison, none of them human, each word overlapping into a chord that made he…" | | 5 | "The leaf-shaped dagger vibrated in her grip, singing a single clear note that clashed with the humming stones." | | 6 | "The trunks themselves, ancient oaks with faces hidden in their bark, rotated on roots that groaned like shifting tectonics." |
| |
| 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 | |