| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1259 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "sharply" | | 1 | "carefully" | | 2 | "softly" | | 3 | "lazily" |
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| 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) | |
| 40.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1259 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "echoing" | | 1 | "profound" | | 2 | "gloom" | | 3 | "dancing" | | 4 | "chill" | | 5 | "tracing" | | 6 | "shattered" | | 7 | "etched" | | 8 | "complex" | | 9 | "throb" | | 10 | "familiar" | | 11 | "weight" | | 12 | "echo" |
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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 | 0 | | narrationSentences | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 83 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | 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 | 17 | | totalWords | 1250 | | ratio | 0.014 | | matches | | 0 | "It doesn't point north, Harlow. It points to the bits that are peeling back. The worn spots." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.30% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1005 | | uniqueNames | 6 | | maxNameDensity | 1.19 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 12 | | Camden | 1 | | Evans | 9 | | Etched | 1 | | Morris | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Evans" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 0.903 | | windowScore | 1 | |
| 73.08% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like collapsed market stalls" | | 1 | "lines that seemed to throb at the edge of her vision" |
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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 | 1250 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 40.32 | | std | 25.6 | | cv | 0.635 | | sampleLengths | | 0 | 91 | | 1 | 55 | | 2 | 33 | | 3 | 9 | | 4 | 31 | | 5 | 44 | | 6 | 80 | | 7 | 35 | | 8 | 56 | | 9 | 93 | | 10 | 31 | | 11 | 51 | | 12 | 20 | | 13 | 55 | | 14 | 20 | | 15 | 73 | | 16 | 19 | | 17 | 14 | | 18 | 8 | | 19 | 33 | | 20 | 31 | | 21 | 52 | | 22 | 4 | | 23 | 50 | | 24 | 74 | | 25 | 14 | | 26 | 49 | | 27 | 34 | | 28 | 77 | | 29 | 1 | | 30 | 13 |
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| 88.35% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 83 | | matches | | 0 | "been hardened" | | 1 | "were angled" | | 2 | "was lined" | | 3 | "was clenched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 142 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 96 | | ratio | 0.01 | | matches | | 0 | "And it hadn't gone wrong; it had gone exactly as intended for one of the parties." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1014 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.01972386587771203 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.011834319526627219 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 13.02 | | std | 7.72 | | cv | 0.593 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 23 | | 3 | 30 | | 4 | 10 | | 5 | 18 | | 6 | 11 | | 7 | 16 | | 8 | 16 | | 9 | 17 | | 10 | 9 | | 11 | 14 | | 12 | 8 | | 13 | 9 | | 14 | 9 | | 15 | 33 | | 16 | 2 | | 17 | 10 | | 18 | 13 | | 19 | 15 | | 20 | 12 | | 21 | 21 | | 22 | 4 | | 23 | 5 | | 24 | 13 | | 25 | 22 | | 26 | 19 | | 27 | 37 | | 28 | 14 | | 29 | 12 | | 30 | 14 | | 31 | 32 | | 32 | 21 | | 33 | 18 | | 34 | 13 | | 35 | 3 | | 36 | 9 | | 37 | 11 | | 38 | 7 | | 39 | 21 | | 40 | 6 | | 41 | 14 | | 42 | 18 | | 43 | 25 | | 44 | 12 | | 45 | 20 | | 46 | 5 | | 47 | 13 | | 48 | 5 | | 49 | 15 |
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| 58.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.40625 | | totalSentences | 96 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 90.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 80 | | matches | | 0 | "He was young, his face" | | 1 | "He gestured with his cup" | | 2 | "He was a man in" | | 3 | "His limbs were angled unnaturally," | | 4 | "His eyes were wide open," | | 5 | "She didn't look at the" | | 6 | "It did not match the" | | 7 | "She ran her torch beam" | | 8 | "Her attention drifted from the" | | 9 | "It felt familiar, a half-remembered" | | 10 | "She paced the edge of" | | 11 | "She pressed her palm against" | | 12 | "She turned back to the" | | 13 | "It wasn't the lax curl" | | 14 | "It was a grip." | | 15 | "It gleamed with a dull," | | 16 | "It was a small brass" | | 17 | "It spun lazily for a" | | 18 | "She felt the ghost of" | | 19 | "*It doesn't point north, Harlow." |
| | ratio | 0.325 | |
| 28.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 80 | | matches | | 0 | "The air grew heavy and" | | 1 | "Detective Harlow Quinn descended the" | | 2 | "The beam of her torch" | | 3 | "A temporary floodlight cast a" | | 4 | "A forensics team, clad in" | | 5 | "DS Evans met her by" | | 6 | "He was young, his face" | | 7 | "Quinn's gaze swept the scene," | | 8 | "The sharp line of her" | | 9 | "Evans took a sip of" | | 10 | "He gestured with his cup" | | 11 | "Quinn ducked under the tape," | | 12 | "The body lay on the" | | 13 | "He was a man in" | | 14 | "His limbs were angled unnaturally," | | 15 | "His eyes were wide open," | | 16 | "Quinn crouched, her knees barely" | | 17 | "She didn't look at the" | | 18 | "Evans crouched beside her, his" | | 19 | "Quinn extended a gloved finger," |
| | ratio | 0.863 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 79.37% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 4 | | matches | | 0 | "Strange, metallic objects, twisted into unrecognisable shapes, littered the ground amongst shattered glass vials that smelled faintly of cinnamon and ozone." | | 1 | "Etched into the brick behind it was a complex symbol, a spiral of interlocking lines that seemed to throb at the edge of her vision." | | 2 | "Like the ones who used to visit her old partner, DS Morris, with their arcane theories and dusty tomes." | | 3 | "The coldness from the wall seemed to seep into the metal, a deep, unnatural chill that had nothing to do with the temperature of the tunnel." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn crouched, her knees barely making a sound on the concrete" | | 1 | "Evans shrugged, a gesture of easy dismissal" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.04 | | leniency | 0.08 | | rawRatio | 0 | | effectiveRatio | 0 | |