| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 18 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.125 | | effectiveRatio | 0.111 | |
| 67.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 916 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "sharply" | | 1 | "slightly" | | 2 | "cautiously" | | 3 | "softly" | | 4 | "really" | | 5 | "gently" |
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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) | |
| 23.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 916 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "clenching" | | 1 | "scanning" | | 2 | "traced" | | 3 | "echoing" | | 4 | "gloom" | | 5 | "electric" | | 6 | "dancing" | | 7 | "pulsed" | | 8 | "could feel" | | 9 | "determined" | | 10 | "velvet" | | 11 | "racing" | | 12 | "anticipation" | | 13 | "amidst" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 57 | | matches | | |
| 67.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 57 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 923 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 802 | | uniqueNames | 8 | | maxNameDensity | 0.87 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 7 | | London | 1 | | Raven | 1 | | Nest | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Tomás" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "vials that seemed to contain lightning, bound books that pulsed with a life of their own, masks that changed expressions with the wearer's thoughts" |
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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 | 923 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 32.96 | | std | 22.55 | | cv | 0.684 | | sampleLengths | | 0 | 73 | | 1 | 62 | | 2 | 69 | | 3 | 48 | | 4 | 40 | | 5 | 19 | | 6 | 41 | | 7 | 51 | | 8 | 47 | | 9 | 14 | | 10 | 28 | | 11 | 60 | | 12 | 65 | | 13 | 36 | | 14 | 21 | | 15 | 12 | | 16 | 6 | | 17 | 11 | | 18 | 20 | | 19 | 12 | | 20 | 11 | | 21 | 6 | | 22 | 12 | | 23 | 6 | | 24 | 31 | | 25 | 23 | | 26 | 19 | | 27 | 80 |
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| 86.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 57 | | matches | | 0 | "was plastered" | | 1 | "was gone" | | 2 | "were replaced" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 142 | | matches | | 0 | "was napping" | | 1 | "was avoiding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 68 | | ratio | 0.088 | | matches | | 0 | "Her sharp jaw ached from clenching it too tight, her brown eyes scanning the maze of London streets ahead for any sign of him – the man who'd slipped from her custody at The Raven's Nest." | | 1 | "No, not gone – there, at the edge of the street, a metal grate stood slightly ajar, revealing darkness beyond." | | 2 | "The air hung thick with the scent of incense, spilled ale, and something wild – the smell of the unknown." | | 3 | "Patrons of all descriptions haggled over items that couldn't be found anywhere else – vials that seemed to contain lightning, bound books that pulsed with a life of their own, masks that changed expressions with the wearer's thoughts." | | 4 | "A figure approached her – a man with warm brown eyes and olive skin, a Saint Christopher medallion around his neck." | | 5 | "She noticed the scar on his left forearm – the same mark she'd seen on her suspect just minutes ago." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 146 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.02054794520547945 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.00684931506849315 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 13.57 | | std | 7.14 | | cv | 0.526 | | sampleLengths | | 0 | 16 | | 1 | 21 | | 2 | 36 | | 3 | 29 | | 4 | 20 | | 5 | 13 | | 6 | 13 | | 7 | 21 | | 8 | 19 | | 9 | 16 | | 10 | 10 | | 11 | 10 | | 12 | 8 | | 13 | 20 | | 14 | 13 | | 15 | 19 | | 16 | 8 | | 17 | 14 | | 18 | 5 | | 19 | 7 | | 20 | 15 | | 21 | 12 | | 22 | 7 | | 23 | 15 | | 24 | 17 | | 25 | 19 | | 26 | 16 | | 27 | 7 | | 28 | 16 | | 29 | 8 | | 30 | 14 | | 31 | 17 | | 32 | 11 | | 33 | 12 | | 34 | 14 | | 35 | 14 | | 36 | 20 | | 37 | 9 | | 38 | 18 | | 39 | 38 | | 40 | 13 | | 41 | 23 | | 42 | 21 | | 43 | 8 | | 44 | 4 | | 45 | 3 | | 46 | 3 | | 47 | 11 | | 48 | 20 | | 49 | 12 |
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| 77.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5 | | totalSentences | 68 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 72.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 57 | | matches | | 0 | "Her sharp jaw ached from" | | 1 | "She had been watching the" | | 2 | "Her fingers had unconsciously traced" | | 3 | "He'd emerged into the stormy" | | 4 | "she muttered, crouching to inspect" | | 5 | "she stated to herself, though" | | 6 | "She took out her torch," | | 7 | "Her torch cut a path" | | 8 | "She cursed silently, remembering a" | | 9 | "She'd vowed then never to" | | 10 | "she whispered, her voice swallowed" | | 11 | "She chose the leftmost passage," | | 12 | "Her suspect was nowhere to" | | 13 | "She could feel it in" | | 14 | "he said softly" | | 15 | "She noticed the scar on" | | 16 | "she asked, nodding to his" | | 17 | "He studied her face, really" | | 18 | "he said, pointing toward a" | | 19 | "She shook off his grip" |
| | ratio | 0.368 | |
| 74.04% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 57 | | matches | | 0 | "Detective Harlow Quinn's boots splashed" | | 1 | "Her sharp jaw ached from" | | 2 | "She had been watching the" | | 3 | "Her fingers had unconsciously traced" | | 4 | "He'd emerged into the stormy" | | 5 | "Quinn increased her pace, ignoring" | | 6 | "The man disappeared down an" | | 7 | "Quinn followed, her leather soles" | | 8 | "she muttered, crouching to inspect" | | 9 | "The prancing about snuck in" | | 10 | "The area around the grate" | | 11 | "she stated to herself, though" | | 12 | "She took out her torch," | | 13 | "A ladder descended into what" | | 14 | "The air grew immediately colder" | | 15 | "The rain's muffled sounds above" | | 16 | "Her torch cut a path" | | 17 | "She cursed silently, remembering a" | | 18 | "She'd vowed then never to" | | 19 | "she whispered, her voice swallowed" |
| | ratio | 0.772 | |
| 87.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 57 | | matches | | | ratio | 0.018 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 9 | | matches | | 0 | "Detective Harlow Quinn's boots splashed through puddles that stretched like black lakes under the bleak streetlights." | | 1 | "Her sharp jaw ached from clenching it too tight, her brown eyes scanning the maze of London streets ahead for any sign of him – the man who'd slipped from her c…" | | 2 | "Quinn increased her pace, ignoring the burning in her muscles, ignoring how her light brown hair was plastered against her skull." | | 3 | "Her torch cut a path through the gloom, revealing walls of crumbling brick and cobwebs that sparkled with moisture." | | 4 | "She chose the leftmost passage, moving cautiously, her hand resting on the grip of her concealed weapon." | | 5 | "Stalls lined streets once occupied by train tracks, their owners moving between gas lamps that cast dancing shadows." | | 6 | "Patrons of all descriptions haggled over items that couldn't be found anywhere else – vials that seemed to contain lightning, bound books that pulsed with a lif…" | | 7 | "She could feel it in her bones, that same gut instinct that had missing persons getting their rightful returns and corroborating witness statements." | | 8 | "And with that, she walked toward the veil-stall, her mind racing with possibilities, her heart thudding with anticipation of what might await." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "she muttered, crouching to inspect the opening" | | 1 | "she said, her voice low" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she stated (state)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 18 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0.429 | | effectiveRatio | 0.333 | |