| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 89.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1423 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "perfectly" | | 1 | "very" | | 2 | "slowly" |
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| 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 | 1423 | | totalAiIsms | 31 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "oppressive" | | 1 | "weight" | | 2 | "rhythmic" | | 3 | "navigated" | | 4 | "pulse" | | 5 | "loomed" | | 6 | "gloom" | | 7 | "silence" | | 8 | "scanned" | | 9 | "otherworldly" | | 10 | "echoed" | | 11 | "pulsed" | | 12 | "searing" | | 13 | "footsteps" | | 14 | "dance" | | 15 | "predator" | | 16 | "maw" | | 17 | "perfect" | | 18 | "shattered" | | 19 | "chaotic" | | 20 | "warmth" |
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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 | 1 | | hedgeCount | 0 | | narrationSentences | 176 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 182 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1413 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1392 | | uniqueNames | 17 | | maxNameDensity | 0.65 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | London | 1 | | Heartstone | 4 | | Cheung | 1 | | Golden | 1 | | Empress | 1 | | Hel | 2 | | November | 1 | | Heathrow | 1 | | Fae | 2 | | Grove | 5 | | Irish | 1 | | Earth | 1 | | Eva | 1 | | Evan | 2 | | Rory | 9 |
| | persons | | 0 | "Heartstone" | | 1 | "Cheung" | | 2 | "Eva" | | 3 | "Evan" | | 4 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Golden" | | 4 | "Hel" | | 5 | "Heathrow" | | 6 | "Fae" | | 7 | "Grove" | | 8 | "Earth" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 115 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like dragging a stone through mud" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.708 | | wordCount | 1413 | | matches | | 0 | "not on her schedule, but the artifact awoke during her final route" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 182 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 23.55 | | std | 21.52 | | cv | 0.914 | | sampleLengths | | 0 | 78 | | 1 | 62 | | 2 | 35 | | 3 | 23 | | 4 | 6 | | 5 | 34 | | 6 | 5 | | 7 | 61 | | 8 | 51 | | 9 | 3 | | 10 | 10 | | 11 | 42 | | 12 | 2 | | 13 | 36 | | 14 | 3 | | 15 | 21 | | 16 | 7 | | 17 | 10 | | 18 | 37 | | 19 | 5 | | 20 | 2 | | 21 | 67 | | 22 | 4 | | 23 | 53 | | 24 | 18 | | 25 | 3 | | 26 | 3 | | 27 | 45 | | 28 | 3 | | 29 | 34 | | 30 | 7 | | 31 | 8 | | 32 | 6 | | 33 | 49 | | 34 | 5 | | 35 | 1 | | 36 | 50 | | 37 | 19 | | 38 | 7 | | 39 | 26 | | 40 | 9 | | 41 | 56 | | 42 | 18 | | 43 | 4 | | 44 | 1 | | 45 | 34 | | 46 | 4 | | 47 | 12 | | 48 | 2 | | 49 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 176 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 217 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 182 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 623 | | adjectiveStacks | 2 | | stackExamples | | 0 | "faint, blood-red inner glow." | | 1 | "small crescent-shaped scar" |
| | adverbCount | 21 | | adverbRatio | 0.033707865168539325 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.012841091492776886 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 182 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 182 | | mean | 7.76 | | std | 4.51 | | cv | 0.581 | | sampleLengths | | 0 | 10 | | 1 | 7 | | 2 | 23 | | 3 | 8 | | 4 | 9 | | 5 | 3 | | 6 | 18 | | 7 | 11 | | 8 | 12 | | 9 | 12 | | 10 | 14 | | 11 | 8 | | 12 | 5 | | 13 | 3 | | 14 | 9 | | 15 | 8 | | 16 | 8 | | 17 | 7 | | 18 | 10 | | 19 | 10 | | 20 | 3 | | 21 | 6 | | 22 | 7 | | 23 | 18 | | 24 | 9 | | 25 | 5 | | 26 | 7 | | 27 | 8 | | 28 | 15 | | 29 | 23 | | 30 | 8 | | 31 | 6 | | 32 | 10 | | 33 | 10 | | 34 | 4 | | 35 | 6 | | 36 | 15 | | 37 | 3 | | 38 | 10 | | 39 | 5 | | 40 | 9 | | 41 | 12 | | 42 | 10 | | 43 | 6 | | 44 | 2 | | 45 | 5 | | 46 | 4 | | 47 | 13 | | 48 | 14 | | 49 | 3 |
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| 34.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 29 | | diversityRatio | 0.2857142857142857 | | totalSentences | 182 | | uniqueOpeners | 52 | |
| 40.65% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 164 | | matches | | 0 | "Pale, grey flesh stretched taut" | | 1 | "Just deep, ragged concavities where" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 164 | | matches | | 0 | "She clutched the silver chain" | | 1 | "She navigated the slope, tracking" | | 2 | "Their gnarled roots coiled into" | | 3 | "She stepped between the ancient" | | 4 | "She stood anchored to the" | | 5 | "Her bright blue eyes scanned" | | 6 | "She spun toward the noise." | | 7 | "Her straight, shoulder-length black hair" | | 8 | "She dropped her hand, letting" | | 9 | "She squinted into the impenetrable" | | 10 | "Her voice lacked any tremble." | | 11 | "Her Irish barrister father taught" | | 12 | "She stepped forward." | | 13 | "Her sneaker crushed a patch" | | 14 | "Her hand drifted to her" | | 15 | "She moved parallel to the" | | 16 | "It lingered at the very" | | 17 | "She backed away slowly." | | 18 | "She entered minutes ago, but" | | 19 | "She reached out blindly to" |
| | ratio | 0.232 | |
| 14.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 146 | | totalSentences | 164 | | matches | | 0 | "Rory pushed through the dense," | | 1 | "Briers caught the denim of" | | 2 | "The city lights of London" | | 3 | "A heavy, oppressive weight settled" | | 4 | "She clutched the silver chain" | | 5 | "The Heartstone burned." | | 6 | "The deep crimson gem, roughly" | | 7 | "She navigated the slope, tracking" | | 8 | "Yu-Fei Cheung expected her back" | | 9 | "The thermal delivery bags sat" | | 10 | "Overtime was not on her" | | 11 | "The pulse became a frantic" | | 12 | "A Hel portal opened nearby." | | 13 | "The air shifted." | | 14 | "The damp, earthy smell of" | | 15 | "A sickeningly sweet fragrance washed" | | 16 | "Jasmine, foxgloves, and something sharp" | | 17 | "Wildflowers blooming in the dead" | | 18 | "Their gnarled roots coiled into" | | 19 | "The boundary markers." |
| | ratio | 0.89 | |
| 30.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 164 | | matches | | 0 | "To her right, a cluster" |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 1 | | matches | | 0 | "The pendant surged, radiating a heat that blistered the skin beneath her shirt." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |