| 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 | 1317 | | 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) | |
| 39.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1317 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "tinge" | | 1 | "warmth" | | 2 | "silence" | | 3 | "weight" | | 4 | "flicked" | | 5 | "chill" | | 6 | "pulsed" | | 7 | "trembled" | | 8 | "pulse" | | 9 | "resolved" | | 10 | "stomach" |
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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 | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 116 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 123 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1315 | | 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 | 19 | | wordCount | 1253 | | uniqueNames | 12 | | maxNameDensity | 0.4 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | London | 2 | | Golden | 1 | | Empress | 1 | | Heartstone | 1 | | Pendant | 1 | | Hel | 2 | | Cardiff | 2 | | Evan | 1 | | Fae | 1 | | Rory | 5 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Hel" | | 4 | "Cardiff" | | 5 | "Fae" |
| | globalScore | 1 | | windowScore | 1 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a deer at first" | | 1 | "felt like a held knife" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.281 | | wordCount | 1315 | | matches | | 0 | "not damp but polished, like the handle of a door" | | 1 | "not a deer's click or a child's laugh, but a woman's voice, rough with worry, the voice of someone who" | | 2 | "Not the faint warmth of a distant Hel portal, but a hard, insistent heat, the kind" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 123 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 41.09 | | std | 34.01 | | cv | 0.828 | | sampleLengths | | 0 | 55 | | 1 | 100 | | 2 | 6 | | 3 | 16 | | 4 | 76 | | 5 | 4 | | 6 | 37 | | 7 | 135 | | 8 | 12 | | 9 | 53 | | 10 | 5 | | 11 | 74 | | 12 | 103 | | 13 | 58 | | 14 | 9 | | 15 | 68 | | 16 | 7 | | 17 | 68 | | 18 | 5 | | 19 | 48 | | 20 | 8 | | 21 | 36 | | 22 | 41 | | 23 | 1 | | 24 | 23 | | 25 | 15 | | 26 | 56 | | 27 | 64 | | 28 | 45 | | 29 | 9 | | 30 | 7 | | 31 | 71 |
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| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 116 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 179 | | matches | | |
| 96.40% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 123 | | ratio | 0.016 | | matches | | 0 | "Every sound from London—the rumble of the A3, the wail of a siren, the endless hum of traffic—had been cut off." | | 1 | "The silver chain bit with chill; the crimson gem, no bigger than her thumbnail, held a faint inner glow, like an ember sealed in glass." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1257 | | adjectiveStacks | 2 | | stackExamples | | 0 | "lay cold against her" | | 1 | "close, right behind her" |
| | adverbCount | 29 | | adverbRatio | 0.023070803500397773 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0031821797931583136 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 123 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 123 | | mean | 10.69 | | std | 8.56 | | cv | 0.801 | | sampleLengths | | 0 | 18 | | 1 | 23 | | 2 | 7 | | 3 | 7 | | 4 | 19 | | 5 | 23 | | 6 | 28 | | 7 | 21 | | 8 | 4 | | 9 | 5 | | 10 | 6 | | 11 | 16 | | 12 | 4 | | 13 | 6 | | 14 | 3 | | 15 | 8 | | 16 | 2 | | 17 | 3 | | 18 | 22 | | 19 | 25 | | 20 | 3 | | 21 | 4 | | 22 | 8 | | 23 | 17 | | 24 | 2 | | 25 | 2 | | 26 | 3 | | 27 | 5 | | 28 | 8 | | 29 | 3 | | 30 | 25 | | 31 | 28 | | 32 | 9 | | 33 | 27 | | 34 | 23 | | 35 | 12 | | 36 | 12 | | 37 | 10 | | 38 | 9 | | 39 | 13 | | 40 | 16 | | 41 | 1 | | 42 | 4 | | 43 | 5 | | 44 | 2 | | 45 | 4 | | 46 | 9 | | 47 | 7 | | 48 | 30 | | 49 | 3 |
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| 37.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.3170731707317073 | | totalSentences | 123 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 103 | | matches | | 0 | "Only flowers and shadow." | | 1 | "Then a child's laugh, bright" | | 2 | "Then the proportions resolved and" | | 3 | "Only the bag by the" | | 4 | "Then the reflection blinked a" |
| | ratio | 0.049 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 103 | | matches | | 0 | "They bloomed in a ring" | | 1 | "It pressed against her eardrums." | | 2 | "She hefted the Golden Empress" | | 3 | "Her voice went nowhere." | | 4 | "She thumbed the screen and" | | 5 | "She looked up." | | 6 | "She touched it." | | 7 | "It only ever did that" | | 8 | "She had followed the pull" | | 9 | "She turned in a slow" | | 10 | "She caught the movement at" | | 11 | "She swept the phone's torch" | | 12 | "She drew a breath through" | | 13 | "She let the breath out." | | 14 | "She had come here because" | | 15 | "She wasn't leaving with an" | | 16 | "She jerked away, the beam" | | 17 | "She backed up until her" | | 18 | "She pushed off it, kept" | | 19 | "It looked like a deer" |
| | ratio | 0.291 | |
| 76.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 103 | | matches | | 0 | "Rory ducked under the low" | | 1 | "The ancient bark felt slick" | | 2 | "Wildflowers spread in a pale" | | 3 | "They bloomed in a ring" | | 4 | "The air held the trapped" | | 5 | "Every sound from London—the rumble" | | 6 | "The silence had weight." | | 7 | "It pressed against her eardrums." | | 8 | "She hefted the Golden Empress" | | 9 | "Her voice went nowhere." | | 10 | "The words dropped at her" | | 11 | "The screen of her phone" | | 12 | "The phone disagreed." | | 13 | "She thumbed the screen and" | | 14 | "The blue dot sat at" | | 15 | "She looked up." | | 16 | "The moon had not moved." | | 17 | "The Heartstone Pendant lay cold" | | 18 | "She touched it." | | 19 | "The silver chain bit with" |
| | ratio | 0.767 | |
| 97.09% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 103 | | matches | | 0 | "Now, in the clearing, the" | | 1 | "If she got out." |
| | ratio | 0.019 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 4 | | matches | | 0 | "The ancient bark felt slick under her palm, not damp but polished, like the handle of a door that got used every day." | | 1 | "Wildflowers spread in a pale drift, their faces turned to a moon that hung too large over Richmond Park." | | 2 | "A stalk bent, then another, as if something pushed through them, circling wide." | | 3 | "Not the faint warmth of a distant Hel portal, but a hard, insistent heat, the kind that meant the portal was right here, right now, opening in a grove that belo…" |
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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 | |