| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.538 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1049 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1049 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | word | "down her spine" | | count | 1 |
| | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "unwavering" | | 1 | "scanned" | | 2 | "quickened" | | 3 | "predator" | | 4 | "treacherous" | | 5 | "depths" | | 6 | "racing" | | 7 | "amidst" | | 8 | "determined" | | 9 | "oppressive" | | 10 | "silence" | | 11 | "pulse" | | 12 | "etched" | | 13 | "footsteps" | | 14 | "echoing" | | 15 | "cacophony" | | 16 | "glinting" | | 17 | "down her spine" | | 18 | "raced" | | 19 | "could feel" | | 20 | "weight" | | 21 | "reminder" | | 22 | "anticipation" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "air was thick with" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" | | 1 | "sent a shiver down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 73 | | matches | | 0 | "e with fear" | | 1 | "g with unease" |
| |
| 45.01% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 73 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1047 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 58.07% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 979 | | uniqueNames | 7 | | maxNameDensity | 1.84 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 18 | | Morris | 1 | | Veil | 2 | | Market | 2 | | Tube | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | | | globalScore | 0.581 | | windowScore | 0.667 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 3 | | matches | | 0 | "buildings that seemed to lean in conspiratorially" | | 1 | "silence that seemed to pulse with its own life" | | 2 | "runes that seemed to pulse with hidden power" |
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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 | 1047 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 40.27 | | std | 20.79 | | cv | 0.516 | | sampleLengths | | 0 | 81 | | 1 | 57 | | 2 | 27 | | 3 | 61 | | 4 | 91 | | 5 | 38 | | 6 | 51 | | 7 | 62 | | 8 | 69 | | 9 | 46 | | 10 | 36 | | 11 | 33 | | 12 | 11 | | 13 | 28 | | 14 | 12 | | 15 | 11 | | 16 | 38 | | 17 | 38 | | 18 | 48 | | 19 | 17 | | 20 | 16 | | 21 | 24 | | 22 | 38 | | 23 | 23 | | 24 | 38 | | 25 | 53 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 167 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 79 | | ratio | 0.013 | | matches | | 0 | "The suspect—a wiry figure with a hood pulled low over his face—darted through the throng of pedestrians, his movements erratic and desperate." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 981 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.024464831804281346 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007135575942915392 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 99.59% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 13.25 | | std | 5.29 | | cv | 0.399 | | sampleLengths | | 0 | 18 | | 1 | 18 | | 2 | 22 | | 3 | 17 | | 4 | 6 | | 5 | 22 | | 6 | 19 | | 7 | 16 | | 8 | 10 | | 9 | 17 | | 10 | 9 | | 11 | 15 | | 12 | 17 | | 13 | 20 | | 14 | 8 | | 15 | 21 | | 16 | 13 | | 17 | 11 | | 18 | 18 | | 19 | 20 | | 20 | 16 | | 21 | 9 | | 22 | 13 | | 23 | 14 | | 24 | 19 | | 25 | 18 | | 26 | 17 | | 27 | 21 | | 28 | 24 | | 29 | 14 | | 30 | 17 | | 31 | 21 | | 32 | 17 | | 33 | 14 | | 34 | 12 | | 35 | 20 | | 36 | 9 | | 37 | 12 | | 38 | 6 | | 39 | 9 | | 40 | 10 | | 41 | 9 | | 42 | 14 | | 43 | 11 | | 44 | 9 | | 45 | 12 | | 46 | 7 | | 47 | 6 | | 48 | 6 | | 49 | 9 |
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| 42.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.27848101265822783 | | totalSentences | 79 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 88.49% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 73 | | matches | | 0 | "Her eyes, sharp and discerning," | | 1 | "They had never failed her" | | 2 | "Her heart thudded in her" | | 3 | "Her voice cut through the" | | 4 | "She rounded a corner just" | | 5 | "She knew of the Veil" | | 6 | "It was a place of" | | 7 | "Her hand brushed against the" | | 8 | "She had come too far" | | 9 | "Her eyes caught on a" | | 10 | "She spotted him then, slipping" | | 11 | "Her mind was a steel" | | 12 | "Her hand shot out, gripping" | | 13 | "she said, her voice low" | | 14 | "he gasped, his words tumbling" | | 15 | "He hesitated, fear and desperation" | | 16 | "She couldn't let him escape," | | 17 | "She sprinted after him, her" | | 18 | "she replied, nodding toward the" | | 19 | "She could feel the weight" |
| | ratio | 0.329 | |
| 21.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 73 | | matches | | 0 | "Rain pounded the streets of" | | 1 | "Detective Harlow Quinn moved with" | | 2 | "Her eyes, sharp and discerning," | | 3 | "The man was slippery, a" | | 4 | "They had never failed her" | | 5 | "The suspect—a wiry figure with" | | 6 | "Quinn quickened her pace, weaving" | | 7 | "Her heart thudded in her" | | 8 | "Her voice cut through the" | | 9 | "Quinn followed, her breath misting" | | 10 | "The alley was narrow, hemmed" | | 11 | "The rain had pooled in" | | 12 | "The suspect was fast, but" | | 13 | "She rounded a corner just" | | 14 | "Quinn hesitated for a fraction" | | 15 | "She knew of the Veil" | | 16 | "It was a place of" | | 17 | "Her hand brushed against the" | | 18 | "She had come too far" | | 19 | "The stairs spiraled downward, the" |
| | ratio | 0.877 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 11.66% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 9 | | matches | | 0 | "Quinn quickened her pace, weaving through the crowd with the agility of a predator honing in on its prey." | | 1 | "Her heart thudded in her chest, a steady rhythm that matched the urgency of the chase." | | 2 | "The alley was narrow, hemmed in by towering buildings that seemed to lean in conspiratorially." | | 3 | "The rain had pooled in the uneven cobblestones, creating treacherous patches that threatened to trip her up." | | 4 | "The Veil Market sprawled before her, a labyrinth of stalls and makeshift shops, each one offering wares that defied the imagination." | | 5 | "The air was thick with the scent of incense and something more primal, a hint of magic that tingled at the edges of perception." | | 6 | "Her eyes caught on a stall selling shimmering vials of liquid, their colors shifting like the surface of a soap bubble." | | 7 | "Her hand shot out, gripping his shoulder with a force that brooked no argument." | | 8 | "The suspect took advantage of her distraction, wrenching free and bolting down the passage." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, her voice low and steady" | | 1 | "he gasped, his words tumbling out in a rush" | | 2 | "them intoned, their voice smooth and unhurried" | | 3 | "she said, her voice firm" |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 13 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.2 | | effectiveRatio | 0.154 | |