| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 924 | | 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) | |
| 45.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 924 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulse" | | 1 | "stomach" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "echoing" | | 5 | "flicker" | | 6 | "unreadable" | | 7 | "familiar" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
| | 1 | | label | "without second thought" | | count | 1 |
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| | highlights | | 0 | "stomach dropped" | | 1 | "without a second thought" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 104 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 104 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 10 | | markdownWords | 19 | | totalWords | 913 | | ratio | 0.021 | | matches | | 0 | "The Raven’s Nest" | | 1 | "never let a suspect out of your sight." | | 2 | "wrong" | | 3 | "were" | | 4 | "desperation." | | 5 | "detective." | | 6 | "are." | | 7 | "crack" | | 8 | "Now." | | 9 | "look!" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.04% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 848 | | uniqueNames | 9 | | maxNameDensity | 1.18 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Tomás" | | discoveredNames | | Soho | 1 | | Quinn | 10 | | Raven | 1 | | London | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Tomás | 4 | | Herrera | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Tube" | | 2 | "Tomás" | | 3 | "Herrera" |
| | places | | | globalScore | 0.91 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | |
| 90.47% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.095 | | wordCount | 913 | | matches | | 0 | "Not the harsh glow of a police-issue flashlight, but something softer, warmer" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 18.63 | | std | 18.36 | | cv | 0.985 | | sampleLengths | | 0 | 76 | | 1 | 10 | | 2 | 67 | | 3 | 46 | | 4 | 7 | | 5 | 31 | | 6 | 35 | | 7 | 29 | | 8 | 10 | | 9 | 6 | | 10 | 64 | | 11 | 5 | | 12 | 33 | | 13 | 1 | | 14 | 4 | | 15 | 37 | | 16 | 3 | | 17 | 3 | | 18 | 56 | | 19 | 30 | | 20 | 16 | | 21 | 33 | | 22 | 13 | | 23 | 5 | | 24 | 6 | | 25 | 24 | | 26 | 3 | | 27 | 10 | | 28 | 7 | | 29 | 25 | | 30 | 34 | | 31 | 3 | | 32 | 18 | | 33 | 9 | | 34 | 14 | | 35 | 7 | | 36 | 36 | | 37 | 12 | | 38 | 7 | | 39 | 12 | | 40 | 3 | | 41 | 13 | | 42 | 10 | | 43 | 3 | | 44 | 21 | | 45 | 2 | | 46 | 4 | | 47 | 5 | | 48 | 5 |
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| 91.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 104 | | matches | | 0 | "got dismissed" | | 1 | "was gone" | | 2 | "were overturned" | | 3 | "was gone" |
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| 40.32% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 167 | | matches | | 0 | "was weaving" | | 1 | "was handing" | | 2 | "were arguing" | | 3 | "wasn’t breathing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 112 | | ratio | 0.089 | | matches | | 0 | "The suspect—lean, hooded, moving with the kind of urgency that screamed guilt—had bolted the second she’d flashed her badge outside *The Raven’s Nest*." | | 1 | "Eighteen years on the force had taught her how to chase—when to push, when to conserve." | | 2 | "Unless—" | | 3 | "She knew what lay beneath London’s streets—sewers, abandoned Tube tunnels, the kind of places that swallowed people whole." | | 4 | "Then—voices." | | 5 | "She’d heard the whispers—rumours among the night shift, the kind of stories that got dismissed as urban legend." | | 6 | "And the people—if they *were* people." | | 7 | "She could read the body language—*desperation.*" | | 8 | "The suspect was still there, but the cloaked figure was handing them something—a small, wrapped package." | | 9 | "She could—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 859 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.02677532013969732 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004656577415599534 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 8.15 | | std | 5.36 | | cv | 0.658 | | sampleLengths | | 0 | 14 | | 1 | 23 | | 2 | 23 | | 3 | 2 | | 4 | 2 | | 5 | 12 | | 6 | 4 | | 7 | 6 | | 8 | 17 | | 9 | 3 | | 10 | 11 | | 11 | 16 | | 12 | 6 | | 13 | 14 | | 14 | 3 | | 15 | 20 | | 16 | 11 | | 17 | 8 | | 18 | 3 | | 19 | 1 | | 20 | 3 | | 21 | 4 | | 22 | 22 | | 23 | 9 | | 24 | 3 | | 25 | 18 | | 26 | 14 | | 27 | 22 | | 28 | 7 | | 29 | 6 | | 30 | 4 | | 31 | 6 | | 32 | 7 | | 33 | 14 | | 34 | 13 | | 35 | 16 | | 36 | 14 | | 37 | 5 | | 38 | 8 | | 39 | 10 | | 40 | 15 | | 41 | 1 | | 42 | 4 | | 43 | 6 | | 44 | 12 | | 45 | 2 | | 46 | 17 | | 47 | 3 | | 48 | 3 | | 49 | 18 |
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| 38.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.2767857142857143 | | totalSentences | 112 | | uniqueOpeners | 31 | |
| 35.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 95 | | matches | | 0 | "Just the instinctive flight of" |
| | ratio | 0.011 | |
| 93.68% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 95 | | matches | | 0 | "She didn’t call out." | | 1 | "She followed, her breath steady" | | 2 | "They took a sharp left" | | 3 | "She lunged, her fingers brushing" | | 4 | "She cursed under her breath," | | 5 | "She spun just in time" | | 6 | "They dropped into the darkness" | | 7 | "She knew what lay beneath" | | 8 | "She crouched at the edge" | | 9 | "She gripped the ladder and" | | 10 | "Her boots hit the ground" | | 11 | "She steadied herself, her hand" | | 12 | "She could hear water dripping" | | 13 | "She killed the torch." | | 14 | "She pressed herself against the" | | 15 | "Her breath caught." | | 16 | "She’d heard the whispers—rumours among" | | 17 | "She could read the body" | | 18 | "She took a step forward." | | 19 | "She spun, her fist already" |
| | ratio | 0.316 | |
| 38.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 95 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Harlow Quinn’s boots splashed through" | | 2 | "The suspect—lean, hooded, moving with" | | 3 | "She didn’t call out." | | 4 | "Words would only slow her" | | 5 | "A taxi horn blared as" | | 6 | "Quinn didn’t flinch." | | 7 | "She followed, her breath steady" | | 8 | "The suspect was fast, but" | | 9 | "They took a sharp left" | | 10 | "Quinn didn’t hesitate." | | 11 | "She lunged, her fingers brushing" | | 12 | "She cursed under her breath," | | 13 | "The alley dead-ended at a" | | 14 | "A grating sound." | | 15 | "Metal scraping against stone." | | 16 | "She spun just in time" | | 17 | "They dropped into the darkness" | | 18 | "Quinn’s stomach twisted." | | 19 | "She knew what lay beneath" |
| | ratio | 0.842 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 43.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 5 | | matches | | 0 | "The suspect—lean, hooded, moving with the kind of urgency that screamed guilt—had bolted the second she’d flashed her badge outside *The Raven’s Nest*." | | 1 | "She lunged, her fingers brushing the suspect’s jacket before they twisted away, vanishing into the shadows of a narrow passage." | | 2 | "She knew what lay beneath London’s streets—sewers, abandoned Tube tunnels, the kind of places that swallowed people whole." | | 3 | "She’d heard the whispers—rumours among the night shift, the kind of stories that got dismissed as urban legend." | | 4 | "She spun, her fist already raised, but the man who’d grabbed her didn’t flinch." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 11 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0.5 | | effectiveRatio | 0.182 | |