| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1144 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 3.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1144 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "throb" | | 3 | "rhythmic" | | 4 | "silence" | | 5 | "echoed" | | 6 | "gloom" | | 7 | "weight" | | 8 | "flicked" | | 9 | "trembled" | | 10 | "pulse" | | 11 | "stomach" | | 12 | "lurching" | | 13 | "predator" | | 14 | "fluttered" | | 15 | "searing" | | 16 | "maw" |
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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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1144 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1132 | | uniqueNames | 15 | | maxNameDensity | 1.24 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 3 | | Kingston | 1 | | Gate | 1 | | Rory | 14 | | London | 2 | | Heartstone | 2 | | Earth | 1 | | Hel | 3 | | Fae | 1 | | Plantagenets | 1 | | Park | 1 | | Heathrow | 1 | | Barnes | 1 | | Welsh | 1 | | Isolde | 3 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Hel" | | 3 | "Plantagenets" | | 4 | "Barnes" | | 5 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Kingston" | | 2 | "London" | | 3 | "Park" |
| | globalScore | 0.882 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1144 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 28.6 | | std | 20.73 | | cv | 0.725 | | sampleLengths | | 0 | 14 | | 1 | 43 | | 2 | 45 | | 3 | 46 | | 4 | 61 | | 5 | 6 | | 6 | 48 | | 7 | 38 | | 8 | 14 | | 9 | 61 | | 10 | 14 | | 11 | 8 | | 12 | 50 | | 13 | 16 | | 14 | 54 | | 15 | 13 | | 16 | 8 | | 17 | 43 | | 18 | 18 | | 19 | 50 | | 20 | 37 | | 21 | 9 | | 22 | 14 | | 23 | 56 | | 24 | 4 | | 25 | 12 | | 26 | 49 | | 27 | 8 | | 28 | 13 | | 29 | 86 | | 30 | 32 | | 31 | 2 | | 32 | 43 | | 33 | 14 | | 34 | 43 | | 35 | 16 | | 36 | 3 | | 37 | 5 | | 38 | 32 | | 39 | 16 |
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| 93.44% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 89 | | matches | | 0 | "was supposed" | | 1 | "was gone" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 170 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 89 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 138 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.028985507246376812 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 12.85 | | std | 8.4 | | cv | 0.653 | | sampleLengths | | 0 | 14 | | 1 | 22 | | 2 | 8 | | 3 | 13 | | 4 | 14 | | 5 | 6 | | 6 | 25 | | 7 | 15 | | 8 | 10 | | 9 | 21 | | 10 | 7 | | 11 | 18 | | 12 | 18 | | 13 | 18 | | 14 | 6 | | 15 | 18 | | 16 | 3 | | 17 | 27 | | 18 | 4 | | 19 | 17 | | 20 | 12 | | 21 | 5 | | 22 | 14 | | 23 | 3 | | 24 | 7 | | 25 | 35 | | 26 | 16 | | 27 | 7 | | 28 | 7 | | 29 | 8 | | 30 | 8 | | 31 | 21 | | 32 | 21 | | 33 | 5 | | 34 | 11 | | 35 | 23 | | 36 | 15 | | 37 | 16 | | 38 | 13 | | 39 | 8 | | 40 | 4 | | 41 | 25 | | 42 | 14 | | 43 | 18 | | 44 | 26 | | 45 | 3 | | 46 | 21 | | 47 | 6 | | 48 | 17 | | 49 | 14 |
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| 52.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.38202247191011235 | | totalSentences | 89 | | uniqueOpeners | 34 | |
| 80.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 83 | | matches | | 0 | "Instead, she drove her heel" | | 1 | "Instead, the clicking came from" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 83 | | matches | | 0 | "She lifted her wrist to" | | 1 | "Her boot sank into lush," | | 2 | "Her bright blue eyes swept" | | 3 | "She stepped toward the northern" | | 4 | "Her fingers slid into her" | | 5 | "Her thumb flicked the steel" | | 6 | "Her Welsh mother had always" | | 7 | "Her crescent scar on her" | | 8 | "She approached the northern standing" | | 9 | "Her fingers probed the narrow" | | 10 | "Her fingertips brushed something cold," | | 11 | "She yanked her hand back." | | 12 | "It possessed the general shape" | | 13 | "Its flesh was the grey-white" | | 14 | "It produced no sound from" | | 15 | "Her back hit solid timber." |
| | ratio | 0.193 | |
| 56.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 83 | | matches | | 0 | "Rory counted twelve paces past" | | 1 | "The threshold between the Richmond" | | 2 | "She lifted her wrist to" | | 3 | "The second hand ticked backwards" | | 4 | "Here, the number ceased to" | | 5 | "The grove kept its own" | | 6 | "Isolde had promised the dead-drop" | | 7 | "Rory took three steps onto" | | 8 | "Her boot sank into lush," | | 9 | "The scent hit her nose" | | 10 | "The pendant stirred against her" | | 11 | "Rory reached through the unzipped" | | 12 | "The Heartstone pulsed." | | 13 | "A faint, prickling warmth radiated" | | 14 | "That made no sense." | | 15 | "Richmond was Fae ground, ancient" | | 16 | "Isolde’s warding stones had stood" | | 17 | "Hel had no purchase here." | | 18 | "The stone pulsed again, harder" | | 19 | "Rory stopped dead." |
| | ratio | 0.807 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 30.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 8 | | matches | | 0 | "Her boot sank into lush, damp turf that had no business existing after a fortnight of London frost." | | 1 | "A faint, prickling warmth radiated into the hollow of her throat, identical to the feverish throb that occurred whenever the skin between Earth and Hel frayed t…" | | 2 | "Her bright blue eyes swept the perimeter, tracking the five massive oak stones that jutted from the earth like rotting teeth." | | 3 | "Deep inside the fissure, fresh gouges scored the ancient heartwood, long, parallel furrows that tore through the grain like chisel marks." | | 4 | "Its flesh was the grey-white colour of turned lard, slick with the same black fluid that fouled the timber cleft." | | 5 | "Where its face should have rested, a flat plane of seamless, hairless skin stretched taut from brow to jaw, interrupted only by two vertical slits that fluttere…" | | 6 | "The skin across its blank face stretched violently, tenting outward as if a set of long, needle-sharp teeth were chewing their way through from the inside, desp…" | | 7 | "The southern gap between the boundary stones had vanished, replaced by an unbroken wall of petrified, black oak that smelled of brimstone and old graves." |
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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 | |