| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.303 | | leniency | 0.606 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1076 | | 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) | |
| 34.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1076 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "quivered" | | 1 | "etched" | | 2 | "pulsed" | | 3 | "stark" | | 4 | "flicked" | | 5 | "tracing" | | 6 | "fluttered" | | 7 | "chill" | | 8 | "echoed" | | 9 | "vibrated" | | 10 | "echo" | | 11 | "glistening" |
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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 | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1070 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 677 | | uniqueNames | 14 | | maxNameDensity | 2.36 | | worstName | "Harlow" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 1 | | Khalid | 8 | | Harlow | 16 | | Shade | 2 | | Kowalski | 1 | | Eva | 14 | | Oxford | 1 | | Veil | 1 | | Market | 1 | | Camden | 1 | | Tube | 1 | | Enochian | 1 | | Initials | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Khalid" | | 2 | "Harlow" | | 3 | "Shade" | | 4 | "Kowalski" | | 5 | "Eva" | | 6 | "Market" | | 7 | "Initials" | | 8 | "Morris" |
| | places | | | globalScore | 0.318 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.935 | | wordCount | 1070 | | matches | | 0 | "not north, but etched sigils on the face pulsed faintly, as if alive" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 28.92 | | std | 16.4 | | cv | 0.567 | | sampleLengths | | 0 | 23 | | 1 | 38 | | 2 | 47 | | 3 | 41 | | 4 | 38 | | 5 | 32 | | 6 | 90 | | 7 | 43 | | 8 | 46 | | 9 | 29 | | 10 | 37 | | 11 | 54 | | 12 | 43 | | 13 | 23 | | 14 | 35 | | 15 | 36 | | 16 | 7 | | 17 | 17 | | 18 | 23 | | 19 | 19 | | 20 | 51 | | 21 | 19 | | 22 | 15 | | 23 | 11 | | 24 | 31 | | 25 | 9 | | 26 | 14 | | 27 | 27 | | 28 | 21 | | 29 | 27 | | 30 | 26 | | 31 | 14 | | 32 | 16 | | 33 | 5 | | 34 | 35 | | 35 | 10 | | 36 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 158 | | matches | (empty) | |
| 62.75% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 3 | | flaggedSentences | 3 | | totalSentences | 107 | | ratio | 0.028 | | matches | | 0 | "Curly red strands escaped her hasty ponytail; she tucked one behind her left ear, freckles stark under the gas lamps' jaundiced glow." | | 1 | "Arched ceilings dripped condensation; rails long rusted twisted into vendor hooks displaying shrivelled herbs and bone charms." | | 2 | "Mandrake crates shifted easy under push; dust puffed, revealing faint scratches." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 536 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.018656716417910446 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0037313432835820895 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 10 | | std | 7.37 | | cv | 0.737 | | sampleLengths | | 0 | 8 | | 1 | 15 | | 2 | 13 | | 3 | 25 | | 4 | 15 | | 5 | 32 | | 6 | 6 | | 7 | 6 | | 8 | 16 | | 9 | 3 | | 10 | 10 | | 11 | 16 | | 12 | 22 | | 13 | 10 | | 14 | 22 | | 15 | 8 | | 16 | 17 | | 17 | 7 | | 18 | 29 | | 19 | 17 | | 20 | 12 | | 21 | 7 | | 22 | 36 | | 23 | 9 | | 24 | 15 | | 25 | 8 | | 26 | 3 | | 27 | 4 | | 28 | 7 | | 29 | 10 | | 30 | 19 | | 31 | 4 | | 32 | 8 | | 33 | 14 | | 34 | 3 | | 35 | 8 | | 36 | 10 | | 37 | 20 | | 38 | 5 | | 39 | 11 | | 40 | 8 | | 41 | 4 | | 42 | 39 | | 43 | 5 | | 44 | 5 | | 45 | 13 | | 46 | 11 | | 47 | 24 | | 48 | 7 | | 49 | 19 |
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| 92.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5607476635514018 | | totalSentences | 107 | | uniqueOpeners | 60 | |
| 86.58% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 77 | | matches | | 0 | "Just that dark smear under" | | 1 | "Just bare brick, graffiti-scratched, flickering" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 77 | | matches | | 0 | "She flipped it." | | 1 | "Her worn leather watch ticked" | | 2 | "She rose with precision, boots" | | 3 | "She holstered the compass in" | | 4 | "She knelt again, tracing the" | | 5 | "She stood, bearing ramrod straight." | | 6 | "She snapped it shut, eyes" | | 7 | "She pressed palm flat." | | 8 | "She glanced down." | | 9 | "She jabbed the ledger at" |
| | ratio | 0.13 | |
| 50.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 77 | | matches | | 0 | "Harlow Quinn wrenched the victim's" | | 1 | "The brass compass tumbled free," | | 2 | "DS Khalid straightened from his" | | 3 | "Khalid muttered, nodding at the" | | 4 | "Harlow ignored him, retrieving the" | | 5 | "Verdigris patina flaked under her" | | 6 | "The needle quivered, not north," | | 7 | "She flipped it." | | 8 | "Back bore Shade runes, artisan" | | 9 | "Eva Kowalski hovered at the" | | 10 | "Eva's voice carried Oxford polish," | | 11 | "Harlow's brown eyes flicked up," | | 12 | "Her worn leather watch ticked" | | 13 | "She rose with precision, boots" | | 14 | "The Veil Market sprawled around" | | 15 | "Air reeked of ozone and" | | 16 | "Khalid snorted, wiping sweat from" | | 17 | "Eva stepped closer, peering past" | | 18 | "The victim, a gaunt Shade" | | 19 | "Throat gaped ragged, yet the" |
| | ratio | 0.818 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 1 | | matches | | 0 | "Uniformed constables herded back the gawking vendors, their whispers buzzing like disturbed wasps amid the market's haze of incense and sizzling fat from unseen…" |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "Harlow echoed, voice low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Khalid muttered (mutter)" |
| | dialogueSentences | 33 | | tagDensity | 0.061 | | leniency | 0.121 | | rawRatio | 0.5 | | effectiveRatio | 0.061 | |