| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1347 | | 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) | |
| 33.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1347 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "flickered" | | 1 | "chilled" | | 2 | "throbbed" | | 3 | "pulsed" | | 4 | "pulse" | | 5 | "silence" | | 6 | "perfect" | | 7 | "fragmented" | | 8 | "lurch" | | 9 | "blown wide" | | 10 | "trembled" |
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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 | 176 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 176 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 184 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 26 | | totalWords | 1328 | | ratio | 0.02 | | matches | | 0 | "Rory, come find me. It’s urgent. The Grove. They’re taking more people." | | 1 | "Wear it. Trust the pull." | | 2 | "...ties not held... flesh... sleep..." | | 3 | "away" | | 4 | "hungered" | | 5 | "Too" | | 6 | "still" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1248 | | uniqueNames | 9 | | maxNameDensity | 1.6 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Eva" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Eva | 18 | | Grove | 1 | | Evan | 1 | | Heartstone | 2 | | Aurora | 20 | | Ava | 1 | | Like | 3 |
| | persons | | 0 | "Eva" | | 1 | "Evan" | | 2 | "Aurora" | | 3 | "Ava" | | 4 | "Like" |
| | places | | | globalScore | 0.699 | | windowScore | 0.5 | |
| 65.73% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 3 | | matches | | 0 | "as though breathing" | | 1 | "felt like living skin, warm and slick" | | 2 | "looked like woven shadows" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.753 | | wordCount | 1328 | | matches | | 0 | "not from pain, but from knowing" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 184 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 24.15 | | std | 20.57 | | cv | 0.852 | | sampleLengths | | 0 | 98 | | 1 | 6 | | 2 | 59 | | 3 | 69 | | 4 | 22 | | 5 | 45 | | 6 | 18 | | 7 | 58 | | 8 | 4 | | 9 | 32 | | 10 | 2 | | 11 | 36 | | 12 | 48 | | 13 | 32 | | 14 | 4 | | 15 | 2 | | 16 | 26 | | 17 | 49 | | 18 | 10 | | 19 | 20 | | 20 | 5 | | 21 | 6 | | 22 | 31 | | 23 | 4 | | 24 | 27 | | 25 | 19 | | 26 | 22 | | 27 | 13 | | 28 | 15 | | 29 | 21 | | 30 | 18 | | 31 | 4 | | 32 | 71 | | 33 | 60 | | 34 | 30 | | 35 | 35 | | 36 | 6 | | 37 | 24 | | 38 | 18 | | 39 | 15 | | 40 | 10 | | 41 | 40 | | 42 | 12 | | 43 | 20 | | 44 | 6 | | 45 | 3 | | 46 | 43 | | 47 | 29 | | 48 | 23 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 176 | | matches | | 0 | "were blown" | | 1 | "was layered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 242 | | matches | | 0 | "was turning" | | 1 | "was screaming" | | 2 | "was talking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 23 | | semicolonCount | 0 | | flaggedSentences | 21 | | totalSentences | 184 | | ratio | 0.114 | | matches | | 0 | "She pulled her phone from her pocket—no signal." | | 1 | "But Eva had left that voicemail at 3 a.m.—*Rory, come find me." | | 2 | "They’re taking more people.*—and now her voice carried the ghost of static, as if recorded through a crack in the world itself." | | 3 | "Not just cold—dense." | | 4 | "She shoved it back into her pocket, ignoring the ache of a twinge in her wrist—old scar from a playground swing gone wrong, long before Evan’s temper got its hooks into her." | | 5 | "She reached the boundary stones—four gnarled oaks, their trunks wrapped in ivy that pulsed faintly, as though breathing." | | 6 | "Her pulse pendant—the Heartstone—rested cool against her sternum, drilled into the silence." | | 7 | "Not the sickly glow of her dying phone—purer." | | 8 | "The moon steadied—smooth again." | | 9 | "Not all at once—like a marionette jerked by invisible strings." | | 10 | "Not warm—hot." | | 11 | "The pendant pulsed once, twice—a heartbeat that wasn’t hers." | | 12 | "Light erupted from the Heartstone—deep crimson fire that seared the air." | | 13 | "A scream tore out—not hers." | | 14 | "Eva’s ribs began to twist—slow at first, then faster, like gears in a broken clock." | | 15 | "Aurora could see outlines beneath the skin—thin, white bones bending, reforming, elongating." | | 16 | "Shadows detached from tree trunks, now solid and shifting—limbs, torsos, faces not meant to be seen." | | 17 | "Its face was a shifting mask—sometimes smooth, sometimes split down the middle with too many eyes." | | 18 | "The crimson glow flared—once, twice—then guttered out." | | 19 | "And above her, suspended in the air, hung Eva—entire." | | 20 | "The screen lit up—full battery." |
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| 94.94% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1267 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 58 | | adverbRatio | 0.04577742699289661 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0055248618784530384 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 184 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 184 | | mean | 7.22 | | std | 5.05 | | cv | 0.699 | | sampleLengths | | 0 | 25 | | 1 | 22 | | 2 | 8 | | 3 | 4 | | 4 | 11 | | 5 | 5 | | 6 | 23 | | 7 | 6 | | 8 | 12 | | 9 | 2 | | 10 | 2 | | 11 | 22 | | 12 | 6 | | 13 | 15 | | 14 | 11 | | 15 | 3 | | 16 | 3 | | 17 | 5 | | 18 | 15 | | 19 | 32 | | 20 | 10 | | 21 | 12 | | 22 | 18 | | 23 | 10 | | 24 | 4 | | 25 | 5 | | 26 | 8 | | 27 | 5 | | 28 | 11 | | 29 | 2 | | 30 | 12 | | 31 | 14 | | 32 | 2 | | 33 | 8 | | 34 | 2 | | 35 | 20 | | 36 | 4 | | 37 | 5 | | 38 | 8 | | 39 | 1 | | 40 | 12 | | 41 | 6 | | 42 | 2 | | 43 | 6 | | 44 | 15 | | 45 | 5 | | 46 | 2 | | 47 | 4 | | 48 | 4 | | 49 | 4 |
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| 42.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.2717391304347826 | | totalSentences | 184 | | uniqueOpeners | 50 | |
| 67.11% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 149 | | matches | | 0 | "Of course there wasn’t." | | 1 | "Then curled into claws." | | 2 | "Then she tucked the pendant" |
| | ratio | 0.02 | |
| 93.83% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 149 | | matches | | 0 | "She pulled her phone from" | | 1 | "She tapped the flashlight icon." | | 2 | "She didn’t want to be" | | 3 | "They’re taking more people.*—and now" | | 4 | "She called with certainty, like" | | 5 | "She shoved it back into" | | 6 | "She reached the boundary stones—four" | | 7 | "She touched the bark." | | 8 | "It didn’t feel like wood." | | 9 | "It felt like living skin," | | 10 | "Her pulse pendant—the Heartstone—rested cool" | | 11 | "She lowered the collar." | | 12 | "It flickered between the trees" | | 13 | "Its edge looked chewed, irregular." | | 14 | "Her breathing grew shallow." | | 15 | "She stood motionless, arms at" | | 16 | "Her eyes were open." | | 17 | "She stepped forward." | | 18 | "It was words, fragmented and" | | 19 | "She looked at Aurora with" |
| | ratio | 0.315 | |
| 74.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 115 | | totalSentences | 149 | | matches | | 0 | "Aurora yanked the collar of" | | 1 | "The streetlamp flickered out behind" | | 2 | "She pulled her phone from" | | 3 | "Richmond Park at night was" | | 4 | "She tapped the flashlight icon." | | 5 | "The beam stuttered to life," | | 6 | "She didn’t want to be" | | 7 | "They’re taking more people.*—and now" | | 8 | "Eva didn’t just beg for" | | 9 | "She called with certainty, like" | | 10 | "Aurora’s boots scuffed fallen leaves" | | 11 | "The air thickened." | | 12 | "The light from her phone" | | 13 | "She shoved it back into" | | 14 | "That scar throbbed now, not" | | 15 | "She reached the boundary stones—four" | | 16 | "Moss glistened like wet moss" | | 17 | "She touched the bark." | | 18 | "It didn’t feel like wood." | | 19 | "It felt like living skin," |
| | ratio | 0.772 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 149 | | matches | (empty) | | ratio | 0 | |
| 79.37% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 4 | | matches | | 0 | "Aurora yanked the collar of her bomber jacket higher, as if that small adjustment could mask the ragged rhythm of her breath against the cold." | | 1 | "The beam stuttered to life, weak and yellow, cutting a narrow tunnel through the mist that coiled over the pavement like lazy smoke." | | 2 | "She reached the boundary stones—four gnarled oaks, their trunks wrapped in ivy that pulsed faintly, as though breathing." | | 3 | "Eva’s body convulsed, limbs jerking as if pulled by invisible wires." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "Eva whispered (whisper)" |
| | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.333 | | effectiveRatio | 0.286 | |