| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.419 | | leniency | 0.839 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1416 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 32.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1416 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "scanning" | | 2 | "fluttered" | | 3 | "profound" | | 4 | "shimmered" | | 5 | "swept away" | | 6 | "perfect" | | 7 | "weight" | | 8 | "glint" | | 9 | "etched" | | 10 | "intricate" | | 11 | "racing" | | 12 | "chill" | | 13 | "dance" | | 14 | "could feel" | | 15 | "normalcy" |
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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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1409 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.36% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1041 | | uniqueNames | 10 | | maxNameDensity | 1.15 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Tube | 1 | | Detective | 1 | | Harlow | 12 | | Quinn | 2 | | Miller | 7 | | Morris | 1 | | North | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" |
| | places | | | globalScore | 0.924 | | windowScore | 1 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like obsidian but shimmered with a" | | 1 | "seemed unnaturally solid" | | 2 | "seemed thicker here, more textured, as if they were composed of more than just an absence of light" |
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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 | 1409 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 42.7 | | std | 27.86 | | cv | 0.652 | | sampleLengths | | 0 | 92 | | 1 | 55 | | 2 | 103 | | 3 | 49 | | 4 | 17 | | 5 | 12 | | 6 | 84 | | 7 | 49 | | 8 | 31 | | 9 | 59 | | 10 | 5 | | 11 | 6 | | 12 | 78 | | 13 | 70 | | 14 | 14 | | 15 | 33 | | 16 | 48 | | 17 | 64 | | 18 | 16 | | 19 | 44 | | 20 | 61 | | 21 | 48 | | 22 | 27 | | 23 | 4 | | 24 | 16 | | 25 | 88 | | 26 | 55 | | 27 | 39 | | 28 | 1 | | 29 | 17 | | 30 | 14 | | 31 | 46 | | 32 | 64 |
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| 63.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 9 | | totalSentences | 76 | | matches | | 0 | "being robbed" | | 1 | "being beaten" | | 2 | "been disturbed" | | 3 | "been swept" | | 4 | "been placed" | | 5 | "been submerged" | | 6 | "was etched" | | 7 | "being watched" | | 8 | "were composed" | | 9 | "was bought" | | 10 | "was layered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 160 | | matches | | 0 | "was sleeping" | | 1 | "was vibrating" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 4 | | flaggedSentences | 9 | | totalSentences | 93 | | ratio | 0.097 | | matches | | 0 | "There was blood, yes—a dark, viscous pool that had begun to coagulate—but it didn't sit right in her gut." | | 1 | "She didn't look at the victim's face first; she looked at the surroundings." | | 2 | "“It’s too heavy for glass. And it’s too sharp. It didn't shatter; it chipped.” She paused, her mind drifting back to the files she’d kept hidden in her desk—the ones concerning DS Morris." | | 3 | "Instead, it was etched with intricate, swirling sigils—protective symbols that felt heavy with a purpose she couldn't name." | | 4 | "It was a sensation she had learned to recognize—the feeling of being watched by something that didn't have eyes." | | 5 | "She thought of the rumors she’d heard in the corners of the precinct—whispers of a market that moved like a ghost through the city, a place where the impossible was bought and sold for the price of a soul." | | 6 | "The victim wasn't a transient; he was a waypoint." | | 7 | "And the compass—it was a tracker." | | 8 | "The hunt wasn't over; it had simply changed shape." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1051 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.02664129400570885 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009514747859181731 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 15.15 | | std | 8.79 | | cv | 0.58 | | sampleLengths | | 0 | 14 | | 1 | 35 | | 2 | 16 | | 3 | 27 | | 4 | 23 | | 5 | 18 | | 6 | 1 | | 7 | 13 | | 8 | 18 | | 9 | 21 | | 10 | 19 | | 11 | 45 | | 12 | 4 | | 13 | 11 | | 14 | 15 | | 15 | 19 | | 16 | 17 | | 17 | 12 | | 18 | 11 | | 19 | 13 | | 20 | 23 | | 21 | 5 | | 22 | 20 | | 23 | 12 | | 24 | 13 | | 25 | 36 | | 26 | 10 | | 27 | 21 | | 28 | 13 | | 29 | 13 | | 30 | 11 | | 31 | 22 | | 32 | 5 | | 33 | 2 | | 34 | 4 | | 35 | 33 | | 36 | 17 | | 37 | 6 | | 38 | 14 | | 39 | 8 | | 40 | 5 | | 41 | 16 | | 42 | 16 | | 43 | 33 | | 44 | 14 | | 45 | 15 | | 46 | 18 | | 47 | 12 | | 48 | 18 | | 49 | 8 |
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| 55.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3695652173913043 | | totalSentences | 92 | | uniqueOpeners | 34 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 72 | | matches | | 0 | "Instead, it had been swept" | | 1 | "Instead, it was etched with" |
| | ratio | 0.028 | |
| 70.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 72 | | matches | | 0 | "It was a heavy, stagnant" | | 1 | "She stepped over a discarded" | | 2 | "Her gaze lingered for a" | | 3 | "He was a man who" | | 4 | "He gestured vaguely toward the" | | 5 | "She walked toward the center" | | 6 | "She didn't look at the" | | 7 | "She leaned closer, her brown" | | 8 | "It wasn't a shard of" | | 9 | "It was a sliver of" | | 10 | "She paused, her mind drifting" | | 11 | "She pushed the memory down," | | 12 | "She pointed to the dust." | | 13 | "She moved further into the" | | 14 | "Her eyes caught a glint" | | 15 | "She knelt again, her movements" | | 16 | "It was a compass." | | 17 | "It spun erratically for a" | | 18 | "She turned the device over." | | 19 | "She felt a sudden, sharp" |
| | ratio | 0.375 | |
| 29.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 72 | | matches | | 0 | "The air in the abandoned" | | 1 | "It was a heavy, stagnant" | | 2 | "She stepped over a discarded" | | 3 | "Harlow adjusted her coat, her" | | 4 | "Her gaze lingered for a" | | 5 | "The city above was sleeping," | | 6 | "Sergeant Miller said, stepping into" | | 7 | "He was a man who" | | 8 | "He gestured vaguely toward the" | | 9 | "Harlow didn't answer immediately." | | 10 | "She walked toward the center" | | 11 | "The victim lay sprawled near" | | 12 | "Harlow said, her voice low" | | 13 | "Harlow knelt beside the body," | | 14 | "She didn't look at the" | | 15 | "The victim was a man" | | 16 | "That was the first discrepancy." | | 17 | "A man being robbed, being" | | 18 | "This man looked as though" | | 19 | "She leaned closer, her brown" |
| | ratio | 0.861 | |
| 69.44% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 72 | | matches | | 0 | "Even in the dim, flickering" |
| | ratio | 0.014 | |
| 18.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 8 | | matches | | 0 | "It was a heavy, stagnant scent that clung to the back of Detective Harlow Quinn’s throat, refusing to be washed away by the rhythmic drip of water from a rusted…" | | 1 | "Harlow adjusted her coat, her eyes scanning the perimeter with a military precision that had become second nature over eighteen years of service." | | 2 | "He was a man who preferred the comfort of a neat, closed file to the messy uncertainty of an open investigation." | | 3 | "It was a sliver of something that looked like obsidian but shimmered with an oily, iridescent sheen when the light hit it." | | 4 | "Instead, it had been swept away in a perfect, concentric circle, as if a heavy weight had been placed there and then lifted, leaving a void of cleanliness in a …" | | 5 | "It spun erratically for a moment before trembling toward the darkness of the deep tunnel, pointing toward a section of the wall that seemed unnaturally solid." | | 6 | "Instead, it was etched with intricate, swirling sigils—protective symbols that felt heavy with a purpose she couldn't name." | | 7 | "Someone had been hunting something through these tunnels, something that didn't belong in the world of sunlight and concrete." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 4 | | matches | | 0 | "Harlow said, her voice low and steady" | | 1 | "Miller suggested, though his voice lacked its earlier conviction" | | 2 | "Miller said, his tone shifting to one of impatience" | | 3 | "Harlow ordered, her voice regaining its command" |
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| 53.23% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "Miller suggested (suggest)" | | 1 | "Harlow whispered (whisper)" | | 2 | "Harlow ordered (order)" |
| | dialogueSentences | 31 | | tagDensity | 0.258 | | leniency | 0.516 | | rawRatio | 0.375 | | effectiveRatio | 0.194 | |