| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 92.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1303 | | 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) | |
| 19.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1303 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "weight" | | 1 | "rhythmic" | | 2 | "warmth" | | 3 | "pulse" | | 4 | "silence" | | 5 | "depths" | | 6 | "resolve" | | 7 | "echoed" | | 8 | "gloom" | | 9 | "vibrated" | | 10 | "familiar" | | 11 | "pulsed" | | 12 | "symphony" | | 13 | "flicker" | | 14 | "velvet" | | 15 | "shimmered" | | 16 | "whisper" |
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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 | 71 | | matches | (empty) | |
| 82.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1297 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1078 | | uniqueNames | 14 | | maxNameDensity | 0.74 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Harlow" | | discoveredNames | | Soho | 1 | | Quinn | 1 | | London | 2 | | Raven | 1 | | Nest | 1 | | Camden | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Metropolitan | 1 | | Police | 1 | | Underground | 1 | | Harlow | 8 | | Herrera | 8 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Market" | | 3 | "Underground" | | 4 | "Harlow" | | 5 | "Herrera" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Camden" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.75% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like people, others wore hoods tha" | | 1 | "sounded like grinding glass" | | 2 | "clicking that seemed to vibrate directly inside Harlow's jaw" | | 3 | "felt like a serrated edge against her e" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.771 | | wordCount | 1297 | | matches | | 0 | "not like wool, but like dried, brittle skin" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 40.53 | | std | 28.39 | | cv | 0.7 | | sampleLengths | | 0 | 60 | | 1 | 8 | | 2 | 80 | | 3 | 63 | | 4 | 50 | | 5 | 11 | | 6 | 45 | | 7 | 18 | | 8 | 25 | | 9 | 58 | | 10 | 94 | | 11 | 9 | | 12 | 15 | | 13 | 22 | | 14 | 96 | | 15 | 20 | | 16 | 21 | | 17 | 19 | | 18 | 87 | | 19 | 81 | | 20 | 68 | | 21 | 80 | | 22 | 4 | | 23 | 35 | | 24 | 9 | | 25 | 12 | | 26 | 40 | | 27 | 25 | | 28 | 62 | | 29 | 13 | | 30 | 44 | | 31 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 178 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 85 | | ratio | 0.071 | | matches | | 0 | "She watched the way he favored his left arm—a protective instinct shielding that jagged scar—and cursed the distance growing between them." | | 1 | "Below, the silence wasn't empty; it hummed with the scrape of unseen movement and the low, dissonant chanting of things that had no business walking on two legs." | | 2 | "Before her, the Veil Market waited—a sprawl of forbidden commerce and impossible architectures that defied the physics of the Metropolitan Police rulebook." | | 3 | "Stalls lined the jagged walls, selling wares that pulsed with their own rhythmic light—vials of shimmering liquid, masks carved from bone, and obsidian blades that hummed with a low, predatory threat." | | 4 | "The entity let out a sound—a soft, wet clicking that seemed to vibrate directly inside Harlow's jaw." | | 5 | "The fabric felt wrong—not like wool, but like dried, brittle skin." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1087 | | adjectiveStacks | 1 | | stackExamples | | 0 | "own rhythmic light—vials" |
| | adverbCount | 19 | | adverbRatio | 0.017479300827966882 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005519779208831647 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 15.26 | | std | 6.19 | | cv | 0.405 | | sampleLengths | | 0 | 14 | | 1 | 17 | | 2 | 14 | | 3 | 15 | | 4 | 8 | | 5 | 15 | | 6 | 12 | | 7 | 14 | | 8 | 18 | | 9 | 21 | | 10 | 11 | | 11 | 10 | | 12 | 4 | | 13 | 16 | | 14 | 22 | | 15 | 21 | | 16 | 16 | | 17 | 13 | | 18 | 11 | | 19 | 22 | | 20 | 10 | | 21 | 13 | | 22 | 18 | | 23 | 25 | | 24 | 6 | | 25 | 23 | | 26 | 14 | | 27 | 15 | | 28 | 13 | | 29 | 28 | | 30 | 10 | | 31 | 7 | | 32 | 14 | | 33 | 22 | | 34 | 9 | | 35 | 15 | | 36 | 22 | | 37 | 19 | | 38 | 6 | | 39 | 15 | | 40 | 6 | | 41 | 18 | | 42 | 11 | | 43 | 21 | | 44 | 5 | | 45 | 15 | | 46 | 21 | | 47 | 19 | | 48 | 3 | | 49 | 15 |
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| 45.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.27058823529411763 | | totalSentences | 85 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 50.99% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 71 | | matches | | 0 | "Her breath hitched, sharp and" | | 1 | "He swerved into a narrow" | | 2 | "She matched his speed, her" | | 3 | "She watched the way he" | | 4 | "They surged past the flickering" | | 5 | "He scrambled over a rusted" | | 6 | "He led her toward Camden," | | 7 | "He reached into his pocket" | | 8 | "He turned, his face illuminated" | | 9 | "His brown eyes were wide," | | 10 | "He didn't wait for a" | | 11 | "He pressed the bone token" | | 12 | "She glanced at the worn" | | 13 | "She threw the question into" | | 14 | "She stared down into the" | | 15 | "Her heart hammered against her" | | 16 | "She took a step down." | | 17 | "She didn't answer." | | 18 | "She pulled her torch, the" | | 19 | "She was descending into a" |
| | ratio | 0.423 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 71 | | matches | | 0 | "Rain lashed against the asphalt," | | 1 | "Harlow Quinn pushed through the" | | 2 | "Her breath hitched, sharp and" | | 3 | "Herrera kept his head down," | | 4 | "The detective’s voice cut through" | | 5 | "He swerved into a narrow" | | 6 | "Harlow tightened her grip on" | | 7 | "She matched his speed, her" | | 8 | "She watched the way he" | | 9 | "They surged past the flickering" | | 10 | "The bar’s light cast long," | | 11 | "Herrera didn't look back." | | 12 | "He scrambled over a rusted" | | 13 | "Harlow crested the barrier a" | | 14 | "He led her toward Camden," | | 15 | "The suspect slowed, his movements" | | 16 | "He reached into his pocket" | | 17 | "Herrera stood at the mouth" | | 18 | "He turned, his face illuminated" | | 19 | "His brown eyes were wide," |
| | ratio | 0.944 | |
| 70.42% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 71 | | matches | | 0 | "Before her, the Veil Market" |
| | ratio | 0.014 | |
| 49.18% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 8 | | matches | | 0 | "She matched his speed, her stride mirroring the military precision that defined her eighteen years on the force." | | 1 | "Below, the silence wasn't empty; it hummed with the scrape of unseen movement and the low, dissonant chanting of things that had no business walking on two legs…" | | 2 | "Before her, the Veil Market waited—a sprawl of forbidden commerce and impossible architectures that defied the physics of the Metropolitan Police rulebook." | | 3 | "The man's voice echoed back, hollow and fading, as if he were already blocks away in some impossible expanse." | | 4 | "The reports remained sealed, the logs redacted, the truth buried somewhere in the wet, suffocating gloom of tunnels that shouldn't exist." | | 5 | "Stalls lined the jagged walls, selling wares that pulsed with their own rhythmic light—vials of shimmering liquid, masks carved from bone, and obsidian blades t…" | | 6 | "They moved with a fluidity that shouldn't be human, their voices a discordant symphony of languages she didn't recognize." | | 7 | "He leaned in, his voice a whisper that felt like a serrated edge against her ear." |
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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 | |