| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1621 | | 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) | |
| 44.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1621 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "familiar" | | 1 | "silence" | | 2 | "intensity" | | 3 | "perfect" | | 4 | "pulsed" | | 5 | "scanned" | | 6 | "chill" | | 7 | "pristine" | | 8 | "echoed" | | 9 | "navigate" | | 10 | "vibrated" | | 11 | "shattered" | | 12 | "warmth" | | 13 | "churned" | | 14 | "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 | 207 | | matches | (empty) | |
| 94.55% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 3 | | narrationSentences | 207 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 214 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1618 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1580 | | uniqueNames | 10 | | maxNameDensity | 0.32 | | worstName | "Heartstone" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Heartstone | 5 | | October | 1 | | Richmond | 2 | | Park | 1 | | Fae | 1 | | Grove | 3 | | Yu | 1 | | Fei | 1 | | London | 2 | | Carter | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "Yu" | | 5 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 120 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like it was sucking the marrow fro" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.618 | | wordCount | 1618 | | matches | | 0 | "Not the glass, but the feeling" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 214 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 91 | | mean | 17.78 | | std | 13.34 | | cv | 0.75 | | sampleLengths | | 0 | 58 | | 1 | 1 | | 2 | 11 | | 3 | 9 | | 4 | 43 | | 5 | 55 | | 6 | 39 | | 7 | 4 | | 8 | 23 | | 9 | 2 | | 10 | 44 | | 11 | 45 | | 12 | 31 | | 13 | 35 | | 14 | 7 | | 15 | 1 | | 16 | 21 | | 17 | 17 | | 18 | 14 | | 19 | 22 | | 20 | 16 | | 21 | 12 | | 22 | 48 | | 23 | 33 | | 24 | 2 | | 25 | 3 | | 26 | 5 | | 27 | 8 | | 28 | 25 | | 29 | 26 | | 30 | 34 | | 31 | 16 | | 32 | 25 | | 33 | 4 | | 34 | 30 | | 35 | 25 | | 36 | 3 | | 37 | 1 | | 38 | 15 | | 39 | 23 | | 40 | 1 | | 41 | 12 | | 42 | 9 | | 43 | 2 | | 44 | 15 | | 45 | 16 | | 46 | 4 | | 47 | 16 | | 48 | 32 | | 49 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 207 | | matches | | 0 | "was gone" | | 1 | "was gone" | | 2 | "was surrounded" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 10 | | totalVerbs | 284 | | matches | | 0 | "was twitching" | | 1 | "was glowing" | | 2 | "were definitely moving" | | 3 | "were gathering" | | 4 | "was glowing" | | 5 | "was going" | | 6 | "wasn't coming" | | 7 | "was coming" | | 8 | "was sucking" | | 9 | "was tensing" |
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| 89.45% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 3 | | flaggedSentences | 4 | | totalSentences | 214 | | ratio | 0.019 | | matches | | 0 | "One moment I was cutting across the park to make a delivery to the Richmond estates—Yu-Fei didn't tolerate cold dim sum—and the next, the pendant had dragged me off the path like a dog on a lead." | | 1 | "It wasn't a lack of GPS signal; it was a fundamental rejection of physics." | | 2 | "The grass wasn't grass; it was a thick, spongy moss that springed back instantly, erasing my footprints." | | 3 | "The ground didn't crunch; it shrieked." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1588 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 49 | | adverbRatio | 0.030856423173803528 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.005037783375314861 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 214 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 214 | | mean | 7.56 | | std | 5.3 | | cv | 0.701 | | sampleLengths | | 0 | 18 | | 1 | 17 | | 2 | 23 | | 3 | 1 | | 4 | 8 | | 5 | 3 | | 6 | 7 | | 7 | 2 | | 8 | 6 | | 9 | 37 | | 10 | 20 | | 11 | 22 | | 12 | 13 | | 13 | 6 | | 14 | 3 | | 15 | 15 | | 16 | 15 | | 17 | 4 | | 18 | 4 | | 19 | 5 | | 20 | 3 | | 21 | 7 | | 22 | 1 | | 23 | 3 | | 24 | 2 | | 25 | 4 | | 26 | 3 | | 27 | 19 | | 28 | 4 | | 29 | 14 | | 30 | 9 | | 31 | 4 | | 32 | 22 | | 33 | 5 | | 34 | 5 | | 35 | 6 | | 36 | 8 | | 37 | 17 | | 38 | 5 | | 39 | 18 | | 40 | 7 | | 41 | 3 | | 42 | 2 | | 43 | 7 | | 44 | 1 | | 45 | 4 | | 46 | 4 | | 47 | 13 | | 48 | 5 | | 49 | 12 |
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| 34.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 34 | | diversityRatio | 0.27102803738317754 | | totalSentences | 214 | | uniqueOpeners | 58 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 181 | | matches | | 0 | "Just a fraction of an" | | 1 | "Just the swaying of the" | | 2 | "Then the temperature plummeted." | | 3 | "At least I was out" | | 4 | "Then I noticed the shadows." | | 5 | "Then another to my right." |
| | ratio | 0.033 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 100 | | totalSentences | 181 | | matches | | 0 | "I clutched the Heartstone pendant," | | 1 | "I stood on the edge" | | 2 | "I muttered, shaking my stinging" | | 3 | "I hadn't meant to find" | | 4 | "I took a step back," | | 5 | "I turned back to the" | | 6 | "It was wrong." | | 7 | "I checked my watch." | | 8 | "I tapped the glass, winding" | | 9 | "I’m a delivery girl." | | 10 | "I know London." | | 11 | "I know the grid, the" | | 12 | "It wasn't a lack of" | | 13 | "You always hear the distant" | | 14 | "It felt like being underwater." | | 15 | "I walked further into the" | | 16 | "My trainers made no sound" | | 17 | "I knelt by a patch" | | 18 | "They looked perfect." | | 19 | "I reached out to touch" |
| | ratio | 0.552 | |
| 31.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 155 | | totalSentences | 181 | | matches | | 0 | "The silver chain burned against" | | 1 | "I clutched the Heartstone pendant," | | 2 | "The air in front of" | | 3 | "I stood on the edge" | | 4 | "The Fae Grove." | | 5 | "I muttered, shaking my stinging" | | 6 | "I hadn't meant to find" | | 7 | "I took a step back," | | 8 | "The bark wasn't rough and" | | 9 | "I turned back to the" | | 10 | "It was wrong." | | 11 | "The light here was a" | | 12 | "The standing stones, jagged monoliths" | | 13 | "The pendant cooled instantly." | | 14 | "I checked my watch." | | 15 | "The second hand was dead." | | 16 | "I tapped the glass, winding" | | 17 | "I’m a delivery girl." | | 18 | "I know London." | | 19 | "I know the grid, the" |
| | ratio | 0.856 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 181 | | matches | (empty) | | ratio | 0 | |
| 70.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 6 | | matches | | 0 | "The silver chain burned against my skin, a sudden, biting heat that snapped me out of my stride." | | 1 | "The light here was a bruised purple, suspended in a sky that held no moon." | | 2 | "I know the grid, the one-way systems, the shortcuts through alleys that smell of stale wee and bin juice." | | 3 | "The grass wasn't grass; it was a thick, spongy moss that springed back instantly, erasing my footprints." | | 4 | "The Heartstone pendant seared my skin, a sudden explosion of heat that made me gasp." | | 5 | "It was glowing so bright it lit up the trees, casting long, twisting shadows that reached for me like grasping fingers." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "I whispered, my voice sounding tinny and small in the vast quiet" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "I muttered (mutter)" | | 1 | "I whispered (whisper)" | | 2 | "I breathed (breathe)" |
| | dialogueSentences | 12 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.75 | | effectiveRatio | 0.5 | |