| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "She walked around [around]" | | 1 | "Eva pulled away [away]" |
| | dialogueSentences | 56 | | tagDensity | 0.339 | | leniency | 0.679 | | rawRatio | 0.105 | | effectiveRatio | 0.071 | |
| 81.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1322 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "carefully" | | 2 | "nervously" | | 3 | "gently" | | 4 | "suddenly" |
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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) | |
| 73.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1322 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "echoing" | | 1 | "scanning" | | 2 | "measured" | | 3 | "etched" | | 4 | "intricate" | | 5 | "chill" |
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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 | 78 | | matches | | |
| 69.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 16 | | totalWords | 1329 | | ratio | 0.012 | | matches | | 0 | "Need to talk about the symbols. BP corner at Camden Lock, 20 mins. Come alone. -E" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 749 | | uniqueNames | 11 | | maxNameDensity | 3.2 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 24 | | Tube | 2 | | Detective | 2 | | Sergeant | 1 | | Palmer | 6 | | Camden | 2 | | Lock | 1 | | Twenty | 1 | | Morris | 2 | | Eva | 12 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Detective" | | 3 | "Sergeant" | | 4 | "Palmer" | | 5 | "Morris" | | 6 | "Eva" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1329 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 113 | | matches | | 0 | "lights that cast" | | 1 | "feeling that this" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 24.61 | | std | 15.24 | | cv | 0.619 | | sampleLengths | | 0 | 69 | | 1 | 30 | | 2 | 38 | | 3 | 13 | | 4 | 18 | | 5 | 48 | | 6 | 3 | | 7 | 25 | | 8 | 39 | | 9 | 42 | | 10 | 8 | | 11 | 25 | | 12 | 27 | | 13 | 6 | | 14 | 21 | | 15 | 3 | | 16 | 10 | | 17 | 26 | | 18 | 37 | | 19 | 20 | | 20 | 29 | | 21 | 8 | | 22 | 46 | | 23 | 10 | | 24 | 20 | | 25 | 25 | | 26 | 26 | | 27 | 6 | | 28 | 4 | | 29 | 33 | | 30 | 2 | | 31 | 40 | | 32 | 14 | | 33 | 18 | | 34 | 24 | | 35 | 2 | | 36 | 42 | | 37 | 8 | | 38 | 49 | | 39 | 44 | | 40 | 24 | | 41 | 45 | | 42 | 18 | | 43 | 31 | | 44 | 46 | | 45 | 10 | | 46 | 42 | | 47 | 6 | | 48 | 25 | | 49 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 145 | | matches | (empty) | |
| 41.72% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 113 | | ratio | 0.035 | | matches | | 0 | "Three uniformed officers stood huddled near what appeared to be the center of investigation – a chalk outline surrounded by numbered evidence markers." | | 1 | "Something caught her eye – a small mark etched into the concrete beside the booth." | | 2 | "While waiting, Quinn photographed the symbol with her phone – a circle with lines radiating outward, like a crude compass." | | 3 | "Quinn scrolled through the images from the previous crime scenes – one in an abandoned warehouse, another in a sealed-off section of sewer tunnels." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 746 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.024128686327077747 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.012064343163538873 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 11.76 | | std | 7.8 | | cv | 0.663 | | sampleLengths | | 0 | 24 | | 1 | 16 | | 2 | 29 | | 3 | 12 | | 4 | 12 | | 5 | 6 | | 6 | 11 | | 7 | 23 | | 8 | 4 | | 9 | 13 | | 10 | 18 | | 11 | 11 | | 12 | 19 | | 13 | 11 | | 14 | 7 | | 15 | 3 | | 16 | 25 | | 17 | 11 | | 18 | 6 | | 19 | 22 | | 20 | 10 | | 21 | 10 | | 22 | 9 | | 23 | 13 | | 24 | 8 | | 25 | 4 | | 26 | 21 | | 27 | 4 | | 28 | 17 | | 29 | 6 | | 30 | 3 | | 31 | 3 | | 32 | 18 | | 33 | 3 | | 34 | 3 | | 35 | 10 | | 36 | 2 | | 37 | 24 | | 38 | 3 | | 39 | 10 | | 40 | 9 | | 41 | 15 | | 42 | 20 | | 43 | 20 | | 44 | 9 | | 45 | 5 | | 46 | 3 | | 47 | 24 | | 48 | 8 | | 49 | 11 |
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| 74.34% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.45132743362831856 | | totalSentences | 113 | | uniqueOpeners | 51 | |
| 46.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 72 | | matches | | 0 | "Instead, she moved toward the" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 72 | | matches | | 0 | "she asked, her gaze fixed" | | 1 | "She crouched down, careful not" | | 2 | "She checked her worn leather" | | 3 | "She stepped back, taking in" | | 4 | "She walked around the outline," | | 5 | "she said, kneeling to examine" | | 6 | "She'd seen something similar before," | | 7 | "She stopped on photos of" | | 8 | "she said, pointing to barely" | | 9 | "Her phone buzzed." | | 10 | "Her hand rested near her" | | 11 | "Its face was etched with" | | 12 | "His last case had ended" | | 13 | "She unwrapped it, revealing what" | | 14 | "She glanced at her watch" |
| | ratio | 0.208 | |
| 29.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 72 | | matches | | 0 | "Detective Harlow Quinn stepped under" | | 1 | "Water dripped somewhere in the" | | 2 | "The forensics team had set" | | 3 | "Detective Sergeant Palmer approached, offering" | | 4 | "Quinn took the cup without" | | 5 | "she asked, her gaze fixed" | | 6 | "Quinn approached the outline slowly," | | 7 | "She crouched down, careful not" | | 8 | "The outline indicated a body" | | 9 | "Palmer trailed off" | | 10 | "Quinn finished, rising to her" | | 11 | "She checked her worn leather" | | 12 | "She stepped back, taking in" | | 13 | "The abandoned station platform stretched" | | 14 | "A disused ticket booth stood" | | 15 | "The younger detective shrugged." | | 16 | "Quinn shook her head." | | 17 | "She walked around the outline," | | 18 | "Palmer stepped closer." | | 19 | "Quinn pointed to a circular" |
| | ratio | 0.861 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 72 | | matches | | 0 | "While waiting, Quinn photographed the" | | 1 | "Before he disappeared, he'd mentioned" |
| | ratio | 0.028 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "Detective Harlow Quinn stepped under the crumbling archway of the abandoned Tube station, her shoes crunching on the debris that littered the concrete floor." | | 1 | "Quinn took the cup without drinking, her eyes scanning the scene." |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, kneeling to examine the mark more closely" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 56 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.125 | | effectiveRatio | 0.036 | |