| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.8 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1963 | | 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) | |
| 28.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1963 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "etched" | | 1 | "aligned" | | 2 | "footsteps" | | 3 | "loomed" | | 4 | "weight" | | 5 | "silence" | | 6 | "echo" | | 7 | "sense of" | | 8 | "flickered" | | 9 | "warmth" | | 10 | "footfall" | | 11 | "pulse" | | 12 | "stomach" | | 13 | "scanned" | | 14 | "pulsed" | | 15 | "chill" | | 16 | "silk" | | 17 | "perfect" | | 18 | "glistening" | | 19 | "reminder" | | 20 | "shimmered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 179 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 179 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 180 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1963 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1898 | | uniqueNames | 21 | | maxNameDensity | 0.68 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "London" | | discoveredNames | | Carter | 3 | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Pendant | 1 | | Golden | 1 | | Empress | 1 | | Silas | 1 | | Hel | 2 | | London | 3 | | Cardiff | 3 | | Fae | 2 | | Grove | 1 | | Pre-Law | 1 | | Evan | 3 | | Laila | 2 | | Malphora | 2 | | Rory | 2 | | Isolde | 1 | | Earth | 1 | | Aurora | 13 |
| | persons | | 0 | "Carter" | | 1 | "Pendant" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Laila" | | 5 | "Rory" | | 6 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Hel" | | 3 | "London" | | 4 | "Cardiff" | | 5 | "Fae" | | 6 | "Grove" | | 7 | "Isolde" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 121 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like Malphora, Carter, Rory, each" |
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| 98.12% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.019 | | wordCount | 1963 | | matches | | 0 | "Not a snap this time but a long exhale, close enough" | | 1 | "No mark remained on her skin but" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 180 | | matches | (empty) | |
| 44.76% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 85.35 | | std | 26.17 | | cv | 0.307 | | sampleLengths | | 0 | 160 | | 1 | 103 | | 2 | 99 | | 3 | 96 | | 4 | 62 | | 5 | 60 | | 6 | 112 | | 7 | 74 | | 8 | 84 | | 9 | 10 | | 10 | 88 | | 11 | 99 | | 12 | 78 | | 13 | 81 | | 14 | 87 | | 15 | 82 | | 16 | 72 | | 17 | 113 | | 18 | 77 | | 19 | 84 | | 20 | 99 | | 21 | 72 | | 22 | 71 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 179 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 298 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 180 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1900 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 68 | | adverbRatio | 0.035789473684210524 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.004210526315789474 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 180 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 180 | | mean | 10.91 | | std | 8.07 | | cv | 0.74 | | sampleLengths | | 0 | 17 | | 1 | 14 | | 2 | 23 | | 3 | 33 | | 4 | 35 | | 5 | 5 | | 6 | 33 | | 7 | 6 | | 8 | 20 | | 9 | 4 | | 10 | 11 | | 11 | 17 | | 12 | 17 | | 13 | 9 | | 14 | 3 | | 15 | 5 | | 16 | 11 | | 17 | 8 | | 18 | 18 | | 19 | 2 | | 20 | 5 | | 21 | 18 | | 22 | 19 | | 23 | 14 | | 24 | 15 | | 25 | 30 | | 26 | 4 | | 27 | 17 | | 28 | 19 | | 29 | 26 | | 30 | 6 | | 31 | 2 | | 32 | 13 | | 33 | 5 | | 34 | 16 | | 35 | 7 | | 36 | 13 | | 37 | 17 | | 38 | 3 | | 39 | 13 | | 40 | 11 | | 41 | 4 | | 42 | 12 | | 43 | 16 | | 44 | 4 | | 45 | 18 | | 46 | 3 | | 47 | 6 | | 48 | 19 | | 49 | 6 |
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| 44.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3055555555555556 | | totalSentences | 180 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 164 | | matches | | 0 | "Just her own footsteps and" | | 1 | "Instead the flowers nearest her" | | 2 | "Even the flowers held still," | | 3 | "Then one stone creaked." | | 4 | "Instead she studied the ripple," |
| | ratio | 0.03 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 164 | | matches | | 0 | "Her boots sank into damp" | | 1 | "She kept one hand wrapped" | | 2 | "She crossed the boundary." | | 3 | "Their stems bent in her" | | 4 | "She swept the flashlight in" | | 5 | "Her bright blue eyes narrowed." | | 6 | "She swung the light back" | | 7 | "She rubbed at it with" | | 8 | "She had come for the" | | 9 | "She took a step forward." | | 10 | "Her black hair slid across" | | 11 | "She tucked it back with" | | 12 | "She batted it aside." | | 13 | "She moved to the center" | | 14 | "Its inner glow cast red" | | 15 | "Her fingers brushed a flower" | | 16 | "She wiped it on her" | | 17 | "She shook her head to" | | 18 | "It started as a prickle" | | 19 | "She rose and turned in" |
| | ratio | 0.299 | |
| 20.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 144 | | totalSentences | 164 | | matches | | 0 | "Aurora Carter pushed through the" | | 1 | "Her boots sank into damp" | | 2 | "The scooter waited back on" | | 3 | "She kept one hand wrapped" | | 4 | "The artifact had dragged her" | | 5 | "Answers waited in this place." | | 6 | "The benefactor who left the" | | 7 | "The trees gave way without" | | 8 | "She crossed the boundary." | | 9 | "The air thickened around her" | | 10 | "Wildflowers spread across the ground" | | 11 | "Their stems bent in her" | | 12 | "The park noises from beyond" | | 13 | "She swept the flashlight in" | | 14 | "The beam caught movement at" | | 15 | "Her bright blue eyes narrowed." | | 16 | "She swung the light back" | | 17 | "The wrongness hit her then," | | 18 | "The small crescent mark from" | | 19 | "She rubbed at it with" |
| | ratio | 0.878 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 164 | | matches | (empty) | | ratio | 0 | |
| 74.01% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 83 | | technicalSentenceCount | 8 | | matches | | 0 | "She kept one hand wrapped around the Heartstone Pendant, its silver chain warm between her fingers and the crimson gemstone throbbing in steady beats that match…" | | 1 | "Ancient oak standing stones rose in a ragged circle ahead, their surfaces etched with grooves that swallowed her flashlight beam." | | 2 | "The wrongness hit her then, a pressure behind her sternum that made her scar itch on her left wrist." | | 3 | "Their heads formed a tunnel that funneled her gaze back to the stones." | | 4 | "The words bounced back changed, stretched into syllables that sounded like Malphora, Carter, Rory, each name spoken by mouths that had never learned human shape…" | | 5 | "Her mind sorted options with the quick thinking that had kept her alive through Evan's rages and the move to London." | | 6 | "She drew in a breath that tasted of metal and night-blooming flowers." | | 7 | "The grove waited with her, flowers aligned, stones leaning inward, the certainty of company now a living thing that shared her every inhale." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 1 | | effectiveRatio | 0.4 | |