| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "The woman descended further [further]" |
| | dialogueSentences | 21 | | tagDensity | 0.476 | | leniency | 0.952 | | rawRatio | 0.1 | | effectiveRatio | 0.095 | |
| 86.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 723 | | 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) | |
| 65.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 723 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "standard" | | 1 | "glint" | | 2 | "echoes" | | 3 | "cacophony" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 55 | | matches | (empty) | |
| 64.94% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 55 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 721 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 561 | | uniqueNames | 15 | | maxNameDensity | 2.85 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 4 | | Raven | 1 | | Nest | 2 | | Seven | 1 | | Dials | 1 | | Underground | 1 | | Quinn | 16 | | Morris | 5 | | Veil | 1 | | Market | 2 | | St | 1 | | Tomás | 1 | | Herrera | 1 | | Transport | 1 | | Westminster | 1 |
| | persons | | 0 | "Dials" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Tomás" | | 4 | "Herrera" |
| | places | | 0 | "London" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Market" | | 4 | "St" |
| | globalScore | 0.074 | | windowScore | 0 | |
| 85.90% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a yellowed bit of bone and sl" |
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| 61.30% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.387 | | wordCount | 721 | | matches | | 0 | "not the expected utility corridor but a steep staircase descending into darkness" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 70.53% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 27.73 | | std | 11.01 | | cv | 0.397 | | sampleLengths | | 0 | 32 | | 1 | 29 | | 2 | 45 | | 3 | 50 | | 4 | 40 | | 5 | 20 | | 6 | 13 | | 7 | 13 | | 8 | 22 | | 9 | 11 | | 10 | 31 | | 11 | 34 | | 12 | 11 | | 13 | 27 | | 14 | 21 | | 15 | 37 | | 16 | 30 | | 17 | 12 | | 18 | 32 | | 19 | 32 | | 20 | 32 | | 21 | 12 | | 22 | 40 | | 23 | 42 | | 24 | 28 | | 25 | 25 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 104 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 66 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 562 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.026690391459074734 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008896797153024912 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 10.92 | | std | 5.88 | | cv | 0.538 | | sampleLengths | | 0 | 13 | | 1 | 19 | | 2 | 15 | | 3 | 14 | | 4 | 17 | | 5 | 15 | | 6 | 13 | | 7 | 7 | | 8 | 16 | | 9 | 27 | | 10 | 8 | | 11 | 20 | | 12 | 12 | | 13 | 14 | | 14 | 6 | | 15 | 4 | | 16 | 5 | | 17 | 4 | | 18 | 4 | | 19 | 9 | | 20 | 13 | | 21 | 9 | | 22 | 1 | | 23 | 4 | | 24 | 6 | | 25 | 9 | | 26 | 15 | | 27 | 7 | | 28 | 3 | | 29 | 14 | | 30 | 17 | | 31 | 4 | | 32 | 7 | | 33 | 11 | | 34 | 16 | | 35 | 5 | | 36 | 6 | | 37 | 10 | | 38 | 27 | | 39 | 10 | | 40 | 6 | | 41 | 3 | | 42 | 6 | | 43 | 15 | | 44 | 7 | | 45 | 5 | | 46 | 4 | | 47 | 6 | | 48 | 22 | | 49 | 14 |
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| 77.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5 | | totalSentences | 66 | | uniqueOpeners | 33 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 53 | | matches | | 0 | "Sometimes the only way to" |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 6 | | totalSentences | 53 | | matches | | 0 | "Her lungs burned, but eighteen" | | 1 | "Her hand settled on her" | | 2 | "She hadn't identified herself by" | | 3 | "She nodded at Quinn's gun" | | 4 | "Her watch ticked louder, marking" | | 5 | "Her free hand brushed the" |
| | ratio | 0.113 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 53 | | matches | | 0 | "Quinn's boots splashed through grimy" | | 1 | "Her lungs burned, but eighteen" | | 2 | "The standard phrase felt hollow" | | 3 | "This suspect wasn't standard issue," | | 4 | "The figure darted left down" | | 5 | "Quinn vaulted over them, her" | | 6 | "Morris would have laughed at" | | 7 | "The alley opened into a" | | 8 | "The suspect hesitated at a" | | 9 | "Quinn seized her chance and" | | 10 | "A sound like breaking glass" | | 11 | "The door swung open with" | | 12 | "Shadows writhed at the bottom," | | 13 | "Her hand settled on her" | | 14 | "The figure turned slightly." | | 15 | "A woman's voice, accent untraceable." | | 16 | "Quinn's blood ran cold." | | 17 | "She hadn't identified herself by" | | 18 | "The woman's hood shifted" | | 19 | "Quinn drew her weapon." |
| | ratio | 0.943 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 6 | | matches | | 0 | "Shadows writhed at the bottom, carrying whispers that made Quinn's skin crawl." | | 1 | "An underground bazaar that moved like mercury through London's forgotten spaces, dealing in things that shouldn't exist." | | 2 | "The woman's voice drifted up from below, wrapped in echoes that shouldn't be possible in such a narrow space." | | 3 | "Music threaded through the dark, a cacophony of instruments that shouldn't exist played in keys that shouldn't be possible." | | 4 | "Stalls stretched into impossible distance, their vendors hidden behind masks that turned to track her movement." | | 5 | "A clock face bigger than the one at Westminster floated above it all, its hands moving in directions that hurt to watch." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.048 | | leniency | 0.095 | | rawRatio | 0 | | effectiveRatio | 0 | |