| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.545 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 837 | | 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 | 837 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "footsteps" | | 1 | "whisper" | | 2 | "echo" | | 3 | "weight" | | 4 | "sense of" | | 5 | "warmth" | | 6 | "pulsed" | | 7 | "throb" | | 8 | "racing" | | 9 | "vibrated" | | 10 | "shimmered" | | 11 | "beacon" | | 12 | "resonance" | | 13 | "pulse" |
| |
| 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 | 1 | | narrationSentences | 53 | | matches | | |
| 88.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 53 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 833 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 712 | | uniqueNames | 10 | | maxNameDensity | 0.98 | | worstName | "Nyx" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Nyx | 7 | | Aurora | 7 | | Isolde | 5 | | Heartstone | 2 | | Helish | 4 | | Veil | 2 | | Belphegor | 1 | | Gluttony | 2 | | Fae-Forged | 2 | | Blade | 2 |
| | persons | | 0 | "Nyx" | | 1 | "Aurora" | | 2 | "Isolde" | | 3 | "Veil" | | 4 | "Belphegor" | | 5 | "Gluttony" | | 6 | "Blade" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 43.62% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 2 | | matches | | 0 | "whisper that seemed to come from the trees themselves" | | 1 | "seemed empty" |
| |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.401 | | wordCount | 833 | | matches | | 0 | "not with your eyes, but with your heart,\" she advised, her gaze distant" | | 1 | "not with heat, but with a faint, silvery distortion" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 56.89% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 41.65 | | std | 14.54 | | cv | 0.349 | | sampleLengths | | 0 | 68 | | 1 | 53 | | 2 | 45 | | 3 | 64 | | 4 | 14 | | 5 | 34 | | 6 | 38 | | 7 | 41 | | 8 | 51 | | 9 | 10 | | 10 | 40 | | 11 | 30 | | 12 | 29 | | 13 | 40 | | 14 | 48 | | 15 | 37 | | 16 | 39 | | 17 | 42 | | 18 | 44 | | 19 | 66 |
| |
| 92.02% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 53 | | matches | | 0 | "was dappled" | | 1 | "was sealed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 112 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 63 | | ratio | 0.063 | | matches | | 0 | "\"The boundary between realms is permeable. Be mindful of your thoughts; the Fae hear all.\"" | | 1 | "Wildflowers bloomed in impossible profusion – stars of blue, bells of gold, and petals like crushed rubies." | | 2 | "The air shimmered, not with heat, but with a faint, silvery distortion – the Veil tearing." | | 3 | "She looked at her companions – Isolde, her silver hair streaked with sweat, the Fae-Forged Blade still glowing faintly; Nyx, their shadow form coalescing back into a distinct silhouette, watching the closed rift with wary eyes." |
| |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 716 | | adjectiveStacks | 2 | | stackExamples | | 0 | "half-visible, half-echo." | | 1 | "slender, leaf-shaped dagger" |
| | adverbCount | 24 | | adverbRatio | 0.0335195530726257 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.01675977653631285 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 13.22 | | std | 6.08 | | cv | 0.46 | | sampleLengths | | 0 | 15 | | 1 | 23 | | 2 | 16 | | 3 | 14 | | 4 | 19 | | 5 | 19 | | 6 | 15 | | 7 | 12 | | 8 | 10 | | 9 | 12 | | 10 | 11 | | 11 | 5 | | 12 | 13 | | 13 | 17 | | 14 | 13 | | 15 | 16 | | 16 | 10 | | 17 | 4 | | 18 | 8 | | 19 | 14 | | 20 | 12 | | 21 | 19 | | 22 | 9 | | 23 | 10 | | 24 | 12 | | 25 | 9 | | 26 | 8 | | 27 | 12 | | 28 | 12 | | 29 | 16 | | 30 | 23 | | 31 | 7 | | 32 | 3 | | 33 | 18 | | 34 | 22 | | 35 | 16 | | 36 | 14 | | 37 | 12 | | 38 | 13 | | 39 | 4 | | 40 | 19 | | 41 | 21 | | 42 | 3 | | 43 | 9 | | 44 | 9 | | 45 | 10 | | 46 | 17 | | 47 | 25 | | 48 | 8 | | 49 | 4 |
| |
| 30.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2857142857142857 | | totalSentences | 63 | | uniqueOpeners | 18 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 99.25% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 53 | | matches | | 0 | "Her companions followed, their footsteps" | | 1 | "she murmured, her voice a" | | 2 | "Their voice was a faint" | | 3 | "She felt a prickle of" | | 4 | "she advised, her gaze distant" | | 5 | "they said, their voice a" | | 6 | "It pulsed faintly, a warm" | | 7 | "she asked, her mind racing" | | 8 | "It was Belphegor’s herald, a" | | 9 | "she cried, drawing the slender," | | 10 | "She drew the Heartstone pendant," | | 11 | "she shouted, thrusting it towards" | | 12 | "she demanded, her voice ringing" | | 13 | "It dissolved into the mist," | | 14 | "They stood in the clearing," | | 15 | "She looked at her companions" |
| | ratio | 0.302 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 53 | | matches | | 0 | "The air thickened,heavy with the" | | 1 | "Aurora’s boots sank slightly into" | | 2 | "The light filtering through the" | | 3 | "Her companions followed, their footsteps" | | 4 | "Isolde walked beside her, her" | | 5 | "she murmured, her voice a" | | 6 | "Nyx drifted beside them, a" | | 7 | "Their voice was a faint" | | 8 | "Nyx said, their form flickering" | | 9 | "Aurora’s gaze swept the clearing." | | 10 | "The standing stones, ancient and" | | 11 | "Wildflowers bloomed in impossible profusion" | | 12 | "The air hummed with an" | | 13 | "She felt a prickle of" | | 14 | "Aurora said, her voice low" | | 15 | "Isolde turned, her silver hair" | | 16 | "she advised, her gaze distant" | | 17 | "Nyx shifted, solidifying briefly into" | | 18 | "they said, their voice a" | | 19 | "Aurora’s hand drifted to the" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 56.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 4 | | matches | | 0 | "A rift, a gaping wound in the fabric of reality, yawned open nearby, spewing tendrils of cold, dark mist that curled like smoke." | | 1 | "The mist coalesced, forming a vaguely humanoid shape, towering and gaunt, its form flickering like a dying flame." | | 2 | "The creature shrieked, a sound like grinding stone, and recoiled, its form flickering violently as the blade’s power met its essence." | | 3 | "It dissolved into the mist, retreating into the rift, which began to close, the silvery distortion fading like a dream." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 7 | | matches | | 0 | "Nyx said, their form flickering like a candle flame" | | 1 | "Aurora said, her voice low" | | 2 | "she advised, her gaze distant" | | 3 | "they said, their voice a rustling leaf" | | 4 | "she asked, her mind racing" | | 5 | "Aurora breathed, her eyes wide" | | 6 | "Nyx commanded, their voice a low rumble" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 7 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she advised (advise)" | | 2 | "Aurora breathed (breathe)" | | 3 | "Nyx hissed (hiss)" | | 4 | "she cried (cry)" | | 5 | "she shouted (shout)" | | 6 | "she demanded (demand)" |
| | dialogueSentences | 22 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.636 | | effectiveRatio | 0.636 | |