| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "Harlow walked around [around]" |
| | dialogueSentences | 46 | | tagDensity | 0.239 | | leniency | 0.478 | | rawRatio | 0.091 | | effectiveRatio | 0.043 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1025 | | 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) | |
| 80.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1025 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "quivered" | | 1 | "weight" | | 2 | "etched" | | 3 | "structure" |
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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 | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1021 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 37.46% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 622 | | uniqueNames | 7 | | maxNameDensity | 2.25 | | worstName | "Pike" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | High | 1 | | Street | 1 | | Tube | 1 | | Pike | 14 | | Morris | 2 | | Harlow | 14 |
| | persons | | 0 | "Pike" | | 1 | "Morris" | | 2 | "Harlow" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" |
| | globalScore | 0.375 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | 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 | 1021 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 22.69 | | std | 20.53 | | cv | 0.905 | | sampleLengths | | 0 | 54 | | 1 | 15 | | 2 | 9 | | 3 | 35 | | 4 | 88 | | 5 | 24 | | 6 | 2 | | 7 | 13 | | 8 | 42 | | 9 | 4 | | 10 | 4 | | 11 | 32 | | 12 | 5 | | 13 | 27 | | 14 | 6 | | 15 | 51 | | 16 | 12 | | 17 | 27 | | 18 | 7 | | 19 | 74 | | 20 | 21 | | 21 | 26 | | 22 | 3 | | 23 | 1 | | 24 | 12 | | 25 | 7 | | 26 | 2 | | 27 | 61 | | 28 | 15 | | 29 | 5 | | 30 | 12 | | 31 | 50 | | 32 | 5 | | 33 | 31 | | 34 | 4 | | 35 | 32 | | 36 | 8 | | 37 | 27 | | 38 | 3 | | 39 | 51 | | 40 | 23 | | 41 | 41 | | 42 | 18 | | 43 | 7 | | 44 | 25 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 82 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 107 | | matches | (empty) | |
| 69.60% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 117 | | ratio | 0.026 | | matches | | 0 | "The victim's shoes—black oxfords—gleamed under the work lamps." | | 1 | "A faint draft carried the smell of wet stone and something else—burning fat, maybe, and spice." | | 2 | "Harlow pulled the compass from her coat pocket—the brass one from the victim's jacket, bagged and tagged, but she'd signed it out before the techs arrived." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 628 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.014331210191082803 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 8.73 | | std | 7.08 | | cv | 0.811 | | sampleLengths | | 0 | 17 | | 1 | 10 | | 2 | 11 | | 3 | 16 | | 4 | 12 | | 5 | 3 | | 6 | 6 | | 7 | 3 | | 8 | 7 | | 9 | 28 | | 10 | 5 | | 11 | 21 | | 12 | 7 | | 13 | 10 | | 14 | 6 | | 15 | 12 | | 16 | 10 | | 17 | 17 | | 18 | 5 | | 19 | 19 | | 20 | 2 | | 21 | 13 | | 22 | 3 | | 23 | 10 | | 24 | 2 | | 25 | 6 | | 26 | 8 | | 27 | 11 | | 28 | 1 | | 29 | 1 | | 30 | 4 | | 31 | 3 | | 32 | 1 | | 33 | 32 | | 34 | 5 | | 35 | 27 | | 36 | 2 | | 37 | 4 | | 38 | 9 | | 39 | 7 | | 40 | 2 | | 41 | 8 | | 42 | 2 | | 43 | 23 | | 44 | 2 | | 45 | 10 | | 46 | 10 | | 47 | 6 | | 48 | 7 | | 49 | 4 |
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| 72.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.452991452991453 | | totalSentences | 117 | | uniqueOpeners | 53 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 73 | | matches | | 0 | "Somewhere behind the wall, a" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 73 | | matches | | 0 | "She ducked under the tape" | | 1 | "She touched the sole of" | | 2 | "She picked up the bone" | | 3 | "It had a notch on" | | 4 | "She'd seen one before, in" | | 5 | "Her jaw tightened." | | 6 | "She set the token down." | | 7 | "She put her palm against" | | 8 | "He pressed his hand to" | | 9 | "His mouth opened, then closed." | | 10 | "She flipped the lid." | | 11 | "She stepped right." | | 12 | "It followed again." | | 13 | "She held the compass against" | | 14 | "She looked at the victim's" | | 15 | "She thought of Morris, of" | | 16 | "She didn't say his name." |
| | ratio | 0.233 | |
| 21.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 73 | | matches | | 0 | "The access shaft dropped from" | | 1 | "Harlow climbed down steel rungs," | | 2 | "Police work lamps stood on" | | 3 | "DS Pike waited by the" | | 4 | "She ducked under the tape" | | 5 | "Pike jerked his chin toward" | | 6 | "Harlow walked the platform edge." | | 7 | "Dust lay thick on the" | | 8 | "Uniforms had already trampled a" | | 9 | "The victim lay on his" | | 10 | "Blood had gathered beneath his" | | 11 | "A bone token rested in" | | 12 | "Pike crouched at the circle." | | 13 | "Harlow leaned closer." | | 14 | "The chalk lines crossed the" | | 15 | "The victim's shoes—black oxfords—gleamed under" | | 16 | "She touched the sole of" | | 17 | "Pike looked up." | | 18 | "Harlow walked around the circle" | | 19 | "The chalk lines ran under" |
| | 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 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Harlow pressed (press)" |
| | dialogueSentences | 46 | | tagDensity | 0.022 | | leniency | 0.043 | | rawRatio | 1 | | effectiveRatio | 0.043 | |