| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 1 | | adverbTags | | 0 | "Torres said quietly [quietly]" |
| | dialogueSentences | 51 | | tagDensity | 0.451 | | leniency | 0.902 | | rawRatio | 0.043 | | effectiveRatio | 0.039 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1315 | | 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) | |
| 54.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1315 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "scanning" | | 1 | "chill" | | 2 | "traced" | | 3 | "flickered" | | 4 | "standard" | | 5 | "etched" | | 6 | "perfect" | | 7 | "pulse" | | 8 | "trembled" |
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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 | 101 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 101 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1304 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 974 | | uniqueNames | 11 | | maxNameDensity | 2.67 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Detective | 2 | | Harlow | 1 | | Quinn | 26 | | Ray | 1 | | Torres | 18 | | Leather | 1 | | Veil | 2 | | Market | 1 | | Unless | 1 | | Compass | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Ray" | | 3 | "Torres" | | 4 | "Compass" |
| | places | | | globalScore | 0.165 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | 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 | 1304 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 128 | | matches | | 0 | "seen that look" | | 1 | "knew that compass" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 22.1 | | std | 16.43 | | cv | 0.743 | | sampleLengths | | 0 | 64 | | 1 | 39 | | 2 | 12 | | 3 | 15 | | 4 | 41 | | 5 | 6 | | 6 | 30 | | 7 | 15 | | 8 | 16 | | 9 | 25 | | 10 | 43 | | 11 | 24 | | 12 | 29 | | 13 | 4 | | 14 | 40 | | 15 | 6 | | 16 | 20 | | 17 | 4 | | 18 | 57 | | 19 | 8 | | 20 | 56 | | 21 | 6 | | 22 | 12 | | 23 | 17 | | 24 | 2 | | 25 | 16 | | 26 | 40 | | 27 | 4 | | 28 | 13 | | 29 | 4 | | 30 | 43 | | 31 | 4 | | 32 | 35 | | 33 | 7 | | 34 | 6 | | 35 | 47 | | 36 | 7 | | 37 | 35 | | 38 | 44 | | 39 | 23 | | 40 | 25 | | 41 | 22 | | 42 | 42 | | 43 | 3 | | 44 | 4 | | 45 | 34 | | 46 | 2 | | 47 | 30 | | 48 | 1 | | 49 | 40 |
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| 94.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 101 | | matches | | 0 | "been assigned" | | 1 | "was clenched" | | 2 | "been left" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 189 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 128 | | ratio | 0.086 | | matches | | 0 | "The abandoned Tube platform reeked of damp concrete and something else—ozone, sharp and metallic, clinging to the back of Detective Harlow Quinn’s throat." | | 1 | "Quinn had seen that look before—in the mirror, twenty years ago." | | 2 | "Each scene identical—no signs of entry or exit, no witnesses, no explanation." | | 3 | "The Veil Market was one of them—a legend among occult researchers, a place that moved with the full moon, trading in enchanted goods and stolen secrets." | | 4 | "But when Quinn pried them open, there was a mark—a bruise shaped like a sigil, dark purple against the pale skin." | | 5 | "Unless—" | | 6 | "But then his beam caught something—a slight indentation, barely visible, where the wall curved inward just a fraction more than it should." | | 7 | "The air that escaped smelled of dust and old magic, carrying with it fragments of memory—whispers in languages she didn’t know, promises of power and knowledge." | | 8 | "She recognized some of them—wards, protections, warnings." | | 9 | "But something else caught her eye—scorch marks on the table, radiating outward from the compass like spokes on a wheel." | | 10 | "The puddles weren’t random—they formed a path, leading away from the table, toward the far wall." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 985 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.03248730964467005 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007106598984771574 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 10.19 | | std | 5.96 | | cv | 0.585 | | sampleLengths | | 0 | 23 | | 1 | 17 | | 2 | 24 | | 3 | 9 | | 4 | 18 | | 5 | 6 | | 6 | 6 | | 7 | 12 | | 8 | 4 | | 9 | 11 | | 10 | 16 | | 11 | 14 | | 12 | 11 | | 13 | 6 | | 14 | 20 | | 15 | 10 | | 16 | 6 | | 17 | 9 | | 18 | 4 | | 19 | 12 | | 20 | 16 | | 21 | 9 | | 22 | 3 | | 23 | 11 | | 24 | 12 | | 25 | 7 | | 26 | 6 | | 27 | 4 | | 28 | 6 | | 29 | 18 | | 30 | 3 | | 31 | 11 | | 32 | 15 | | 33 | 4 | | 34 | 23 | | 35 | 6 | | 36 | 11 | | 37 | 6 | | 38 | 11 | | 39 | 9 | | 40 | 2 | | 41 | 2 | | 42 | 18 | | 43 | 13 | | 44 | 26 | | 45 | 8 | | 46 | 14 | | 47 | 10 | | 48 | 11 | | 49 | 21 |
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| 58.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3671875 | | totalSentences | 128 | | uniqueOpeners | 47 | |
| 37.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 90 | | matches | | 0 | "Just stillness that felt wrong" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 90 | | matches | | 0 | "Her flashlight beam cut through" | | 1 | "He’d been assigned as backup," | | 2 | "She pointed to the woman’s" | | 3 | "She’d spent months buried in" | | 4 | "She pulled out her phone," | | 5 | "She looked back at the" | | 6 | "He moved to the tiled" | | 7 | "he called out" | | 8 | "She traced the edges with" | | 9 | "She pulled out her multitool," | | 10 | "She recognized some of them—wards," | | 11 | "She knew that compass." | | 12 | "It was cold to the" | | 13 | "She thought of her partner," | | 14 | "She thought of the three" |
| | ratio | 0.167 | |
| 48.89% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 90 | | matches | | 0 | "The abandoned Tube platform reeked" | | 1 | "Her flashlight beam cut through" | | 2 | "The woman wore a long" | | 3 | "Quinn knelt, gloved hands already" | | 4 | "The victim’s face was pale," | | 5 | "Quinn didn’t look up." | | 6 | "Detective Ray Torres stepped into" | | 7 | "He’d been assigned as backup," | | 8 | "Quinn had seen that look" | | 9 | "Quinn gestured to the platform" | | 10 | "Torres frowned, scanning the tunnels" | | 11 | "Quinn shook her head." | | 12 | "Torres crouched beside her, his" | | 13 | "Quinn’s jaw tightened." | | 14 | "Each scene identical—no signs of" | | 15 | "The press called it a" | | 16 | "Quinn called it something else" | | 17 | "Something that didn’t exist." | | 18 | "She pointed to the woman’s" | | 19 | "Torres leaned closer." |
| | ratio | 0.822 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 94.16% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 3 | | matches | | 0 | "The Veil Market was one of them—a legend among occult researchers, a place that moved with the full moon, trading in enchanted goods and stolen secrets." | | 1 | "The woman’s coat was still damp, water seeping through the fabric even now, forming small puddles that spread across the platform tiles." | | 2 | "Shelves lined the walls, filled with books and artifacts that made Torres’s eyes widen." |
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| 59.78% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 3 | | matches | | 0 | "Torres crouched, his breath fogging in the chill" | | 1 | "the phone had, dry" | | 2 | "Quinn stepped, her flashlight cutting through the darkness" |
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| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "Torres suggested (suggest)" | | 1 | "Quinn muttered (mutter)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 51 | | tagDensity | 0.216 | | leniency | 0.431 | | rawRatio | 0.273 | | effectiveRatio | 0.118 | |