| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.422 | | leniency | 0.844 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 954 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 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 | 954 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "furrowed" | | 1 | "echoed" | | 2 | "flicked" | | 3 | "chaotic" | | 4 | "racing" | | 5 | "whisper" | | 6 | "scanning" | | 7 | "glint" | | 8 | "etched" | | 9 | "raced" | | 10 | "charged" | | 11 | "unwavering" | | 12 | "furrowing" | | 13 | "resolve" | | 14 | "determined" | | 15 | "anticipation" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 94.14% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 54 | | matches | | 0 | "a thrill of anticipation" | | 1 | "felt a thrill" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 54 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 949 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 522 | | uniqueNames | 8 | | maxNameDensity | 3.45 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 18 | | Tube | 1 | | Camden | 1 | | Mark | 1 | | Thompson | 11 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Mark" | | 3 | "Thompson" | | 4 | "Market" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like dried blood" |
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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 | 949 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 95.15% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 26.36 | | std | 12.73 | | cv | 0.483 | | sampleLengths | | 0 | 53 | | 1 | 59 | | 2 | 24 | | 3 | 9 | | 4 | 25 | | 5 | 18 | | 6 | 26 | | 7 | 49 | | 8 | 19 | | 9 | 20 | | 10 | 22 | | 11 | 31 | | 12 | 16 | | 13 | 24 | | 14 | 26 | | 15 | 28 | | 16 | 53 | | 17 | 13 | | 18 | 24 | | 19 | 16 | | 20 | 22 | | 21 | 19 | | 22 | 29 | | 23 | 22 | | 24 | 37 | | 25 | 11 | | 26 | 15 | | 27 | 41 | | 28 | 29 | | 29 | 9 | | 30 | 25 | | 31 | 11 | | 32 | 30 | | 33 | 19 | | 34 | 26 | | 35 | 49 |
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| 85.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 54 | | matches | | 0 | "were scrawled" | | 1 | "was etched" | | 2 | "was determined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 111 | | matches | (empty) | |
| 35.71% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 80 | | ratio | 0.038 | | matches | | 0 | "Detective Harlow Quinn stepped into the dimly lit chamber of the abandoned Tube station beneath Camden, the air thick with the scent of damp concrete and something else—something metallic." | | 1 | "A glint caught her eye—a small brass compass, half-buried in the dirt beside the victim’s hand." | | 2 | "The beam caught on something—a torn piece of fabric snagged on a jagged edge of concrete." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 526 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.02091254752851711 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0076045627376425855 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 11.86 | | std | 5.46 | | cv | 0.46 | | sampleLengths | | 0 | 29 | | 1 | 9 | | 2 | 15 | | 3 | 12 | | 4 | 14 | | 5 | 11 | | 6 | 22 | | 7 | 7 | | 8 | 11 | | 9 | 6 | | 10 | 5 | | 11 | 4 | | 12 | 5 | | 13 | 20 | | 14 | 6 | | 15 | 12 | | 16 | 5 | | 17 | 21 | | 18 | 17 | | 19 | 19 | | 20 | 13 | | 21 | 11 | | 22 | 8 | | 23 | 9 | | 24 | 11 | | 25 | 8 | | 26 | 14 | | 27 | 10 | | 28 | 21 | | 29 | 6 | | 30 | 10 | | 31 | 6 | | 32 | 18 | | 33 | 16 | | 34 | 10 | | 35 | 9 | | 36 | 19 | | 37 | 16 | | 38 | 16 | | 39 | 6 | | 40 | 15 | | 41 | 13 | | 42 | 7 | | 43 | 17 | | 44 | 7 | | 45 | 9 | | 46 | 3 | | 47 | 19 | | 48 | 12 | | 49 | 7 |
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| 80.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4875 | | totalSentences | 80 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 54 | | matches | | 0 | "Her sharp jaw tightened as" | | 1 | "She noted the jagged cut" | | 2 | "It was DS Mark Thompson," | | 3 | "He gestured toward the body." | | 4 | "She reached for her notepad," | | 5 | "he interrupted, his voice rising" | | 6 | "She turned her attention back" | | 7 | "She knelt again, carefully lifting" | | 8 | "She pocketed the compass and" | | 9 | "She noticed a faint trail" | | 10 | "she replied, her focus unwavering" | | 11 | "They crept toward the corner," | | 12 | "she said, crouching to examine" | | 13 | "he warned, his voice low" |
| | ratio | 0.259 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 54 | | matches | | 0 | "Detective Harlow Quinn stepped into" | | 1 | "Her sharp jaw tightened as" | | 2 | "A body lay sprawled on" | | 3 | "Quinn knelt beside it, her" | | 4 | "The victim’s face, pale and" | | 5 | "She noted the jagged cut" | | 6 | "a voice called from behind" | | 7 | "It was DS Mark Thompson," | | 8 | "Quinn straightened, her eyes narrowing." | | 9 | "He gestured toward the body." | | 10 | "Quinn echoed, her voice low" | | 11 | "Thompson shrugged, his expression skeptical." | | 12 | "Quinn’s gaze flicked to the" | | 13 | "She reached for her notepad," | | 14 | "Thompson suggested, crossing his arms" | | 15 | "Quinn shot him a look," | | 16 | "he interrupted, his voice rising" | | 17 | "Quinn pointed at the symbols" | | 18 | "Thompson frowned, glancing around the" | | 19 | "Quinn stood, her mind racing" |
| | ratio | 0.944 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "She noted the jagged cut across the throat, a deep crimson line that contrasted starkly with the gray of the station floor." | | 1 | "She turned her attention back to the body, scanning for anything that might provide a clue." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 12 | | matches | | 0 | "Quinn echoed, her voice low" | | 1 | "he interrupted, his voice rising" | | 2 | "Quinn stood, her mind racing" | | 3 | "Thompson suggested, his voice dropping to a whisper" | | 4 | "Quinn confirmed, her heart racing" | | 5 | "Thompson added, his voice low" | | 6 | "Thompson said, his voice tense" | | 7 | "she replied, her focus unwavering" | | 8 | "she said, crouching to examine it" | | 9 | "Thompson asked, his brow furrowing" | | 10 | "Quinn replied, her mind racing" | | 11 | "he warned, his voice low" |
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| 16.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 6 | | fancyTags | | 0 | "Thompson suggested (suggest)" | | 1 | "he interrupted (interrupt)" | | 2 | "Thompson suggested (suggest)" | | 3 | "Quinn confirmed (confirm)" | | 4 | "Thompson added (add)" | | 5 | "he warned (warn)" |
| | dialogueSentences | 45 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.4 | | effectiveRatio | 0.267 | |