| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 96.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1290 | | totalAiIsmAdverbs | 1 | | 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) | |
| 45.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1290 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "footsteps" | | 1 | "navigating" | | 2 | "pulse" | | 3 | "throbbed" | | 4 | "weight" | | 5 | "reminder" | | 6 | "flickered" | | 7 | "electric" | | 8 | "shattered" | | 9 | "dancing" | | 10 | "constructed" | | 11 | "scanning" | | 12 | "depths" |
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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 | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 134 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 134 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1274 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1274 | | uniqueNames | 21 | | maxNameDensity | 0.71 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Quinn | 9 | | November | 1 | | Raven | 3 | | Nest | 3 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Fitzrovia | 1 | | Tube | 1 | | Camden | 1 | | High | 1 | | Street | 1 | | Met | 1 | | Morris | 4 | | Hendon | 1 | | Underground | 1 | | London | 2 | | Veil | 1 | | Market | 2 | | Three | 5 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Morris" |
| | places | | 0 | "Soho" | | 1 | "Charing" | | 2 | "Cross" | | 3 | "Road" | | 4 | "Fitzrovia" | | 5 | "Camden" | | 6 | "High" | | 7 | "Street" | | 8 | "Hendon" | | 9 | "London" | | 10 | "Market" | | 11 | "Three" |
| | globalScore | 1 | | windowScore | 1 | |
| 92.53% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 87 | | glossingSentenceCount | 2 | | matches | | 0 | "quite hide what lurked beneath—skin that rippled like water, eyes that caught the candlelight and threw it back in colours no human iris should produce" | | 1 | "quite see" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1274 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 99.99% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 38.61 | | std | 19.3 | | cv | 0.5 | | sampleLengths | | 0 | 57 | | 1 | 71 | | 2 | 16 | | 3 | 33 | | 4 | 29 | | 5 | 46 | | 6 | 44 | | 7 | 78 | | 8 | 37 | | 9 | 32 | | 10 | 13 | | 11 | 65 | | 12 | 54 | | 13 | 42 | | 14 | 22 | | 15 | 78 | | 16 | 62 | | 17 | 46 | | 18 | 46 | | 19 | 31 | | 20 | 47 | | 21 | 50 | | 22 | 48 | | 23 | 34 | | 24 | 26 | | 25 | 36 | | 26 | 25 | | 27 | 22 | | 28 | 6 | | 29 | 16 | | 30 | 46 | | 31 | 10 | | 32 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 53.80% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 228 | | matches | | 0 | "was running" | | 1 | "wasn't listening" | | 2 | "were selling" | | 3 | "were still watching" | | 4 | "was escaping" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 134 | | ratio | 0.097 | | matches | | 0 | "And there—below the city noise—a metallic clang." | | 1 | "Not electric light—something warmer." | | 2 | "The smell hit her immediately—not the stale damp and rodent droppings she expected from an abandoned Underground station, but something else." | | 3 | "Not tags, not gang signs—something older." | | 4 | "Music that had no business existing—reedy and discordant, played on instruments she couldn't name." | | 5 | "Traders hunched over tables laden with merchandise she couldn't—wouldn't—identify." | | 6 | "Others wore hoods that couldn't quite hide what lurked beneath—skin that rippled like water, eyes that caught the candlelight and threw it back in colours no human iris should produce." | | 7 | "She counted the crowd—forty, maybe fifty bodies moving through the market." | | 8 | "His eyes—she refused to process what was wrong with his eyes—narrowed." | | 9 | "The suspect had received something metallic from that woman—had he just bought his way out?" | | 10 | "He glanced over his shoulder once—scanning, not searching—then stepped into the darkness and disappeared." | | 11 | "The tunnel would lead somewhere—another exit, another part of London." | | 12 | "But if she didn't go in—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1295 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.029343629343629343 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.0069498069498069494 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 134 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 134 | | mean | 9.51 | | std | 7.15 | | cv | 0.752 | | sampleLengths | | 0 | 15 | | 1 | 20 | | 2 | 22 | | 3 | 3 | | 4 | 32 | | 5 | 9 | | 6 | 27 | | 7 | 2 | | 8 | 5 | | 9 | 9 | | 10 | 15 | | 11 | 6 | | 12 | 1 | | 13 | 2 | | 14 | 5 | | 15 | 4 | | 16 | 6 | | 17 | 7 | | 18 | 7 | | 19 | 7 | | 20 | 2 | | 21 | 19 | | 22 | 14 | | 23 | 13 | | 24 | 3 | | 25 | 4 | | 26 | 7 | | 27 | 3 | | 28 | 2 | | 29 | 4 | | 30 | 21 | | 31 | 6 | | 32 | 4 | | 33 | 21 | | 34 | 15 | | 35 | 11 | | 36 | 21 | | 37 | 5 | | 38 | 3 | | 39 | 29 | | 40 | 14 | | 41 | 5 | | 42 | 13 | | 43 | 3 | | 44 | 4 | | 45 | 1 | | 46 | 5 | | 47 | 7 | | 48 | 23 | | 49 | 21 |
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| 79.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.5149253731343284 | | totalSentences | 134 | | uniqueOpeners | 69 | |
| 84.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 119 | | matches | | 0 | "Somewhere in its depths, the" | | 1 | "Somewhere in its depths, answers" | | 2 | "Then she stepped onto the" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 119 | | matches | | 0 | "She pushed harder." | | 1 | "Her worn leather watch bounced" | | 2 | "Her brown eyes swept the" | | 3 | "She slowed, chest heaving, and" | | 4 | "She knew this station." | | 5 | "Her pulse throbbed in her" | | 6 | "She should call for backup." | | 7 | "Her phone sat heavy in" | | 8 | "She blinked it away and" | | 9 | "Her feet carried her through" | | 10 | "She kept her hand on" | | 11 | "He tucked it into his" | | 12 | "Her fingers found the grip" | | 13 | "She counted the crowd—forty, maybe" | | 14 | "His eyes—she refused to process" | | 15 | "He said something to his" | | 16 | "She pulled back behind the" | | 17 | "Her heart slammed against her" | | 18 | "She'd heard the phrase whispered" | | 19 | "You needed one to get" |
| | ratio | 0.227 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 119 | | matches | | 0 | "Harlow Quinn's boots slapped through" | | 1 | "She pushed harder." | | 2 | "Her worn leather watch bounced" | | 3 | "The same man she'd watched" | | 4 | "The same man who met" | | 5 | "Another stretch of wet cobblestones." | | 6 | "The suspect's footsteps splashed ahead" | | 7 | "Quinn's hand found the wall," | | 8 | "Her brown eyes swept the" | | 9 | "Steam rising from a grate." | | 10 | "She slowed, chest heaving, and" | | 11 | "Traffic rumbled distantly on Charing" | | 12 | "A siren wailed somewhere over" | | 13 | "The abandoned Tube entrance on" | | 14 | "A shadow slipped through the" | | 15 | "Quinn's jaw tightened." | | 16 | "She knew this station." | | 17 | "Everyone in the Met knew" | | 18 | "Her pulse throbbed in her" | | 19 | "The case file still sat" |
| | ratio | 0.689 | |
| 84.03% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 119 | | matches | | 0 | "If she lost him now," | | 1 | "If she went in, she'd" |
| | ratio | 0.017 | |
| 50.26% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 7 | | matches | | 0 | "The same man who met with known associates of the clique in that dim bar with its green neon sign and its walls covered in old maps." | | 1 | "Shapes that made her eyes want to slide away, that left afterimages dancing in her peripheral vision." | | 2 | "Stalls constructed from salvaged wood and salvaged stranger things lined the platform, their canvas awnings dyed in colours that shifted when she looked directl…" | | 3 | "Some looked human enough, if you ignored the slight wrongness in their proportions, the way their shadows fell at angles that didn't match the light sources." | | 4 | "This was the thing that had taken Morris, the world that existed beneath the one she'd spent forty-one years believing was the only one." | | 5 | "The vendors who'd noticed her were still watching the tunnel entrance." | | 6 | "The market breathed around her, alive in ways that made her skin prickle." |
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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 | |