| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1187 | | totalAiIsmAdverbs | 2 | | 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) | |
| 7.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1187 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "weight" | | 1 | "profound" | | 2 | "silence" | | 3 | "echo" | | 4 | "rhythmic" | | 5 | "throb" | | 6 | "pulse" | | 7 | "scanned" | | 8 | "chill" | | 9 | "reminder" | | 10 | "effortless" | | 11 | "familiar" | | 12 | "crystalline" | | 13 | "velvet" | | 14 | "marble" | | 15 | "pristine" | | 16 | "lilt" | | 17 | "enigmatic" | | 18 | "measured" | | 19 | "shimmered" |
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| 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 | 50 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 50 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 59 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1182 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 940 | | uniqueNames | 13 | | maxNameDensity | 1.81 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 17 | | Richmond | 1 | | Park | 1 | | London | 1 | | Heartstone | 2 | | Fae-forged | 1 | | Cardiff | 2 | | Varga | 1 | | Nyx | 6 | | Isolde | 8 | | University | 1 | | Fae | 5 | | Veil | 1 |
| | persons | | 0 | "Rory" | | 1 | "Varga" | | 2 | "Nyx" | | 3 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Cardiff" |
| | globalScore | 0.596 | | windowScore | 0.333 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 1 | | matches | | 0 | "lilt that seemed to vibrate in the marrow of Rory's bones" |
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| 30.80% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.692 | | wordCount | 1182 | | matches | | 0 | "not with clear liquid, but with something" | | 1 | "not birdsong, but something crystalline" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 81.69% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 47.28 | | std | 20.61 | | cv | 0.436 | | sampleLengths | | 0 | 82 | | 1 | 81 | | 2 | 58 | | 3 | 21 | | 4 | 53 | | 5 | 20 | | 6 | 88 | | 7 | 72 | | 8 | 22 | | 9 | 52 | | 10 | 34 | | 11 | 31 | | 12 | 51 | | 13 | 33 | | 14 | 41 | | 15 | 55 | | 16 | 27 | | 17 | 59 | | 18 | 65 | | 19 | 39 | | 20 | 73 | | 21 | 37 | | 22 | 28 | | 23 | 43 | | 24 | 17 |
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| 98.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 50 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 136 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 59 | | ratio | 0.068 | | matches | | 0 | "She kept her right hand close to the pocket of her jacket, where the Fae-forged blade rested—its slender, leaf-shaped moonsilver form sending a persistent, icy chill through the heavy denim." | | 1 | "A faint, musical chime drifted on the breeze—not birdsong, but something crystalline and deliberate, like tiny bells rung in an empty hall." | | 2 | "The small crescent-shaped scar on her left wrist—a lingering souvenir from a childhood bicycle crash back in Cardiff—itched faintly, a dull ghost pain she always felt when the adrenaline spiked." | | 3 | "Let the Fae play with words; she had a job to do." |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 952 | | adjectiveStacks | 3 | | stackExamples | | 0 | "slender, leaf-shaped moonsilver" | | 1 | "small crescent-shaped scar" | | 2 | "slender, long-fingered hand," |
| | adverbCount | 24 | | adverbRatio | 0.025210084033613446 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.012605042016806723 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 59 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 59 | | mean | 20.03 | | std | 8.83 | | cv | 0.441 | | sampleLengths | | 0 | 28 | | 1 | 30 | | 2 | 24 | | 3 | 19 | | 4 | 21 | | 5 | 18 | | 6 | 23 | | 7 | 19 | | 8 | 22 | | 9 | 17 | | 10 | 21 | | 11 | 7 | | 12 | 29 | | 13 | 17 | | 14 | 10 | | 15 | 10 | | 16 | 17 | | 17 | 30 | | 18 | 41 | | 19 | 14 | | 20 | 26 | | 21 | 32 | | 22 | 22 | | 23 | 22 | | 24 | 30 | | 25 | 7 | | 26 | 27 | | 27 | 16 | | 28 | 15 | | 29 | 18 | | 30 | 33 | | 31 | 10 | | 32 | 23 | | 33 | 21 | | 34 | 20 | | 35 | 5 | | 36 | 32 | | 37 | 18 | | 38 | 17 | | 39 | 10 | | 40 | 36 | | 41 | 23 | | 42 | 32 | | 43 | 5 | | 44 | 12 | | 45 | 16 | | 46 | 14 | | 47 | 17 | | 48 | 8 | | 49 | 29 |
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| 69.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4576271186440678 | | totalSentences | 59 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 50 | | matches | | 0 | "She reached up instinctively, her" | | 1 | "Their faintly glowing violet eyes" | | 2 | "She kept her right hand" | | 3 | "They moved deeper into the" | | 4 | "They crested a low, rolling" | | 5 | "Her silver hair cascaded down" | | 6 | "Her bare feet hovered a" | | 7 | "She was used to dealing" | | 8 | "She looked past Isolde, deep" |
| | ratio | 0.18 | |
| 30.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 50 | | matches | | 0 | "The boundary of the grove" | | 1 | "The next step carried her" | | 2 | "Rory stopped, her breath catching" | | 3 | "The bike clattered against the" | | 4 | "She reached up instinctively, her" | | 5 | "The deep crimson gemstone was" | | 6 | "Nyx stepped through the ripple," | | 7 | "Their faintly glowing violet eyes" | | 8 | "Nyx murmured, their voice sounding" | | 9 | "Rory blinked against the sudden" | | 10 | "Year-round wildflowers painted the forest" | | 11 | "The air tasted of crushed" | | 12 | "Nyx advised, already gliding forward" | | 13 | "Rory followed, her boots sinking" | | 14 | "She kept her right hand" | | 15 | "The dagger was always cold," | | 16 | "They moved deeper into the" | | 17 | "Trees that looked fifty yards" | | 18 | "A small brook babbled nearby," | | 19 | "A faint, musical chime drifted" |
| | ratio | 0.86 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 7.72% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 7 | | matches | | 0 | "The bike clattered against the mossy earth, but the sound was strangely muted, as if the soil itself refused to echo." | | 1 | "The deep crimson gemstone was warm, pulsing against her skin with a steady, rhythmic throb that matched the nervous spike of her pulse." | | 2 | "Year-round wildflowers painted the forest floor in impossible hues of indigo, violet, and gold, glowing softly in the dim, pearlescent light that filtered throu…" | | 3 | "The dagger was always cold, but here, surrounded by the pulsing vitality of the grove, the chill felt sharper, a reminder that they were walking in a pocket dim…" | | 4 | "Trees that looked fifty yards away were reached in a single, effortless stride, while familiar constellations of ferns seemed to shift the moment Rory looked aw…" | | 5 | "A small brook babbled nearby, its water running not with clear liquid, but with something that caught the light like spun glass and spilled drops of liquid silv…" | | 6 | "She was used to dealing with eccentric customers on her delivery routes, but centuries-old half-Fae seers who spoke in riddles were a distinct step up from anno…" |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "Nyx replied, not slowing their pace" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 5 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "Nyx advised (advise)" | | 2 | "Rory whispered (whisper)" | | 3 | "Isolde murmured (murmur)" | | 4 | "Isolde whispered (whisper)" |
| | dialogueSentences | 18 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.556 | | effectiveRatio | 0.556 | |