| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | 0 | "He glanced around [around]" |
| | dialogueSentences | 10 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.5 | | effectiveRatio | 0.2 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1259 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 28.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1259 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "measured" | | 1 | "pulsed" | | 2 | "beacon" | | 3 | "glint" | | 4 | "pulse" | | 5 | "weight" | | 6 | "familiar" | | 7 | "echo" | | 8 | "echoed" | | 9 | "gloom" | | 10 | "scanning" | | 11 | "velvet" | | 12 | "flickered" | | 13 | "loomed" | | 14 | "footsteps" |
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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 | 117 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 117 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 14 | | totalWords | 1243 | | ratio | 0.011 | | matches | | 0 | "sure" | | 1 | "bone, it was bone" | | 2 | "Drugs. Had to be." | | 3 | "moved" | | 4 | "wrong" | | 5 | "ripped" | | 6 | "peeled" | | 7 | "hungry" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.24% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1187 | | uniqueNames | 10 | | maxNameDensity | 1.1 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 1 | | Greek | 1 | | Street | 1 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Veil | 1 | | Market | 1 | | Tube | 1 | | Harlow | 13 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Market" | | 3 | "Harlow" |
| | places | | | globalScore | 0.952 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like human teeth strung on wire" |
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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 | 1243 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 25.37 | | std | 24.67 | | cv | 0.972 | | sampleLengths | | 0 | 80 | | 1 | 2 | | 2 | 6 | | 3 | 82 | | 4 | 69 | | 5 | 7 | | 6 | 84 | | 7 | 28 | | 8 | 5 | | 9 | 7 | | 10 | 61 | | 11 | 58 | | 12 | 5 | | 13 | 2 | | 14 | 86 | | 15 | 36 | | 16 | 38 | | 17 | 2 | | 18 | 54 | | 19 | 17 | | 20 | 44 | | 21 | 9 | | 22 | 5 | | 23 | 34 | | 24 | 42 | | 25 | 4 | | 26 | 16 | | 27 | 46 | | 28 | 9 | | 29 | 5 | | 30 | 17 | | 31 | 17 | | 32 | 25 | | 33 | 35 | | 34 | 20 | | 35 | 4 | | 36 | 7 | | 37 | 3 | | 38 | 31 | | 39 | 8 | | 40 | 41 | | 41 | 5 | | 42 | 29 | | 43 | 6 | | 44 | 6 | | 45 | 30 | | 46 | 7 | | 47 | 3 | | 48 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 117 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 208 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 125 | | ratio | 0.056 | | matches | | 0 | "The suspect—tall, lanky, dressed in a hooded jacket that flapped like a crow’s wings—ducked left, then right, weaving through the late-night stragglers with the ease of a man who knew these streets better than his own reflection." | | 1 | "The suspect glanced back—just for a second—and she caught the glint of something metallic in his hand." | | 2 | "The way he moved—too quick, too *sure*—told her enough." | | 3 | "The air changed instantly—thicker, warmer, laced with the scent of burning herbs and something metallic, like old blood." | | 4 | "The walls were lined with graffiti—symbols, not tags." | | 5 | "Then the suspect handed over the token—*bone, it was bone*—and the vendor slid a small, cloth-wrapped package across the table." | | 6 | "The hood had fallen back, revealing a young man—early twenties, maybe—with hollow cheeks and eyes that gleamed like polished obsidian." |
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| 91.91% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1203 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, cloth-wrapped package" |
| | adverbCount | 51 | | adverbRatio | 0.04239401496259352 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0033250207813798837 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 9.94 | | std | 6.97 | | cv | 0.701 | | sampleLengths | | 0 | 16 | | 1 | 4 | | 2 | 23 | | 3 | 37 | | 4 | 2 | | 5 | 6 | | 6 | 17 | | 7 | 17 | | 8 | 17 | | 9 | 3 | | 10 | 2 | | 11 | 3 | | 12 | 23 | | 13 | 4 | | 14 | 17 | | 15 | 20 | | 16 | 12 | | 17 | 2 | | 18 | 2 | | 19 | 12 | | 20 | 2 | | 21 | 3 | | 22 | 2 | | 23 | 22 | | 24 | 17 | | 25 | 21 | | 26 | 3 | | 27 | 9 | | 28 | 5 | | 29 | 7 | | 30 | 13 | | 31 | 15 | | 32 | 2 | | 33 | 2 | | 34 | 1 | | 35 | 7 | | 36 | 16 | | 37 | 12 | | 38 | 18 | | 39 | 15 | | 40 | 8 | | 41 | 15 | | 42 | 8 | | 43 | 10 | | 44 | 17 | | 45 | 5 | | 46 | 2 | | 47 | 18 | | 48 | 17 | | 49 | 27 |
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| 41.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.312 | | totalSentences | 125 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 99 | | matches | | 0 | "Just the rain, the dark," | | 1 | "Then she holstered her gun" | | 2 | "Then the tunnel opened up." | | 3 | "Then the suspect handed over" | | 4 | "Then the lights flickered." | | 5 | "Even the hissing thing in" | | 6 | "Then he turned and ran." | | 7 | "Then the ground dropped out" |
| | ratio | 0.081 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 99 | | matches | | 0 | "Her breath came steady, measured," | | 1 | "His fingers clenched around it" | | 2 | "She slowed, pressing her back" | | 3 | "She drew her sidearm, the" | | 4 | "His shoulders tensed as he" | | 5 | "He dropped down, the clang" | | 6 | "She descended fast, boots hitting" | | 7 | "She pulled her torch, sweeping" | | 8 | "They exchanged words, too low" | | 9 | "She took a step forward," | | 10 | "She didn’t break stride." | | 11 | "His hand shot out, gripping" | | 12 | "She twisted, driving her elbow" | | 13 | "He gasped, stumbling back, and" | | 14 | "He held up the package," | | 15 | "His voice was smooth, too" | | 16 | "He glanced around, slow and" | | 17 | "She didn’t slow down." | | 18 | "She hit the stairs hard," | | 19 | "She skidded to a halt." |
| | ratio | 0.222 | |
| 50.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 99 | | matches | | 0 | "Harlow Quinn didn’t flinch." | | 1 | "Her breath came steady, measured," | | 2 | "The suspect—tall, lanky, dressed in" | | 3 | "The Raven’s Nest pulsed green" | | 4 | "The suspect glanced back—just for" | | 5 | "A token, maybe." | | 6 | "His fingers clenched around it" | | 7 | "Harlow’s pulse kicked up." | | 8 | "She slowed, pressing her back" | | 9 | "The alley was a gullet," | | 10 | "She drew her sidearm, the" | | 11 | "Metal on concrete." | | 12 | "The alley spat her out" | | 13 | "The suspect was already at" | | 14 | "His shoulders tensed as he" | | 15 | "The way he moved—too quick," | | 16 | "This wasn’t some two-bit thief." | | 17 | "This was someone who’d done" | | 18 | "The hatch groaned as it" | | 19 | "He dropped down, the clang" |
| | ratio | 0.818 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 3 | | matches | | 0 | "The suspect—tall, lanky, dressed in a hooded jacket that flapped like a crow’s wings—ducked left, then right, weaving through the late-night stragglers with the…" | | 1 | "Circles within circles, jagged sigils that made her skin prickle." | | 2 | "The hood had fallen back, revealing a young man—early twenties, maybe—with hollow cheeks and eyes that gleamed like polished obsidian." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |