| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn said flatly [flatly]" |
| | dialogueSentences | 58 | | tagDensity | 0.483 | | leniency | 0.966 | | rawRatio | 0.036 | | effectiveRatio | 0.034 | |
| 85.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1424 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "sharply" | | 1 | "tightly" | | 2 | "slightly" | | 3 | "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) | |
| 57.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1424 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "shattered" | | 1 | "rhythmic" | | 2 | "etched" | | 3 | "intricate" | | 4 | "velvet" | | 5 | "vibrated" | | 6 | "flickered" | | 7 | "echoed" | | 8 | "flicked" |
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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 | 1 | | narrationSentences | 74 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1424 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 822 | | uniqueNames | 15 | | maxNameDensity | 2.55 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 21 | | Camden | 1 | | Tube | 1 | | Blitz | 1 | | Sergeant | 1 | | Miller | 11 | | Victorian | 1 | | Soho | 1 | | North | 2 | | South | 1 | | East | 1 | | West | 1 | | Spilled | 1 | | Eva | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Miller" | | 4 | "Eva" |
| | places | | | globalScore | 0.223 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | 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 | 1424 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 28.48 | | std | 18.82 | | cv | 0.661 | | sampleLengths | | 0 | 15 | | 1 | 68 | | 2 | 6 | | 3 | 51 | | 4 | 66 | | 5 | 21 | | 6 | 7 | | 7 | 31 | | 8 | 31 | | 9 | 5 | | 10 | 36 | | 11 | 70 | | 12 | 26 | | 13 | 7 | | 14 | 26 | | 15 | 56 | | 16 | 1 | | 17 | 31 | | 18 | 6 | | 19 | 36 | | 20 | 10 | | 21 | 13 | | 22 | 15 | | 23 | 64 | | 24 | 20 | | 25 | 45 | | 26 | 18 | | 27 | 25 | | 28 | 42 | | 29 | 17 | | 30 | 17 | | 31 | 41 | | 32 | 24 | | 33 | 43 | | 34 | 7 | | 35 | 65 | | 36 | 32 | | 37 | 44 | | 38 | 21 | | 39 | 9 | | 40 | 43 | | 41 | 15 | | 42 | 11 | | 43 | 18 | | 44 | 27 | | 45 | 15 | | 46 | 56 | | 47 | 15 | | 48 | 42 | | 49 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 147 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 104 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 833 | | adjectiveStacks | 2 | | stackExamples | | 0 | "cavernous tile-lined platform" | | 1 | "dangerous, razor-thin edge." |
| | adverbCount | 27 | | adverbRatio | 0.03241296518607443 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.01680672268907563 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 13.69 | | std | 8.18 | | cv | 0.597 | | sampleLengths | | 0 | 15 | | 1 | 23 | | 2 | 18 | | 3 | 27 | | 4 | 6 | | 5 | 23 | | 6 | 13 | | 7 | 15 | | 8 | 31 | | 9 | 22 | | 10 | 13 | | 11 | 21 | | 12 | 7 | | 13 | 22 | | 14 | 9 | | 15 | 4 | | 16 | 22 | | 17 | 1 | | 18 | 2 | | 19 | 2 | | 20 | 5 | | 21 | 18 | | 22 | 18 | | 23 | 5 | | 24 | 20 | | 25 | 23 | | 26 | 22 | | 27 | 5 | | 28 | 21 | | 29 | 7 | | 30 | 9 | | 31 | 17 | | 32 | 15 | | 33 | 7 | | 34 | 16 | | 35 | 18 | | 36 | 1 | | 37 | 19 | | 38 | 5 | | 39 | 7 | | 40 | 6 | | 41 | 11 | | 42 | 25 | | 43 | 10 | | 44 | 10 | | 45 | 3 | | 46 | 15 | | 47 | 27 | | 48 | 23 | | 49 | 14 |
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| 82.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5288461538461539 | | totalSentences | 104 | | uniqueOpeners | 55 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 65 | | matches | | 0 | "He adjusted his coat, nodding" | | 1 | "She pulled back her sleeve," | | 2 | "Her dark brown eyes swept" | | 3 | "Her military precision showed in" | | 4 | "She reached into her coat" | | 5 | "It spun violently, a blurred" | | 6 | "She squinted at the calligraphy." | | 7 | "She dropped the parchment" | | 8 | "She wore a heavy woolen" | | 9 | "She froze, tucking a stray" | | 10 | "Her green eyes darted from" | | 11 | "She shifted her satchel, her" | | 12 | "Her voice dropped low, carrying" | | 13 | "She reached slowly into her" | | 14 | "She flicked on her heavy-duty" |
| | ratio | 0.231 | |
| 21.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 65 | | matches | | 0 | "Detective Harlow Quinn shoved her" | | 1 | "Detective Sergeant Miller muttered, stepping" | | 2 | "He adjusted his coat, nodding" | | 3 | "Quinn crouched beside a shattered" | | 4 | "She pulled back her sleeve," | | 5 | "The hands tick-tocked with rhythmic" | | 6 | "Quinn stood up, her sharp" | | 7 | "Her dark brown eyes swept" | | 8 | "The place smelled wrong." | | 9 | "Miller said, gesturing toward a" | | 10 | "Quinn walked toward the outline." | | 11 | "Her military precision showed in" | | 12 | "She reached into her coat" | | 13 | "The casing held a greenish" | | 14 | "The needle didn't point North." | | 15 | "It spun violently, a blurred" | | 16 | "Miller folded his arms, his" | | 17 | "Quinn walked past the yellow" | | 18 | "Quinn picked up a scorched" | | 19 | "She squinted at the calligraphy." |
| | ratio | 0.877 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 65 | | matches | | 0 | "Now, it hosted a blood" | | 1 | "Before Miller could respond, a" |
| | ratio | 0.031 | |
| 4.61% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 6 | | matches | | 0 | "Beneath the Camden street level, tucked inside the guts of a long-abandoned Tube station, lay a cavernous tile-lined platform that hadn't seen a commuter since …" | | 1 | "Her military precision showed in every deliberate step, dodging blood spatters that sprayed impossibly high up the arched tiled ceiling." | | 2 | "Dried roots, glittering powders that didn't look like cocaine, and delicate silver vials strewed the filth." | | 3 | "The needle was vibrating now, humming with a low, unnatural tone that vibrated through the metal casing into Quinn's palm." | | 4 | "She reached slowly into her pocket, her fingers twitching with a nervous habit that couldn't hide her terror." | | 5 | "She flicked on her heavy-duty torch with her left hand, the beam cutting through the sudden fog that rolled off the tracks." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 4 | | matches | | 0 | "Miller folded, his posture defensive" | | 1 | "She shifted, her fingers knuckling white around the strap" | | 2 | "Quinn ordered, her voice calm, hard, and precise" | | 3 | "Miller breathed, his voice cracking as he drew his own firearm" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 9 | | fancyTags | | 0 | "Detective Sergeant Miller muttered (mutter)" | | 1 | "Miller barked (bark)" | | 2 | "the girl stammered (stammer)" | | 3 | "Quinn noted (note)" | | 4 | "Eva whispered (whisper)" | | 5 | "Miller demanded (demand)" | | 6 | "Quinn snapped (snap)" | | 7 | "Quinn ordered (order)" | | 8 | "Miller breathed (breathe)" |
| | dialogueSentences | 58 | | tagDensity | 0.293 | | leniency | 0.586 | | rawRatio | 0.529 | | effectiveRatio | 0.31 | |