| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 956 | | 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) | |
| 5.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 956 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pounding" | | 1 | "measured" | | 2 | "flickered" | | 3 | "echoes" | | 4 | "tracing" | | 5 | "chill" | | 6 | "warmth" | | 7 | "echoed" | | 8 | "whisper" | | 9 | "etched" | | 10 | "gleaming" | | 11 | "cacophony" | | 12 | "silk" | | 13 | "unravel" | | 14 | "tension" | | 15 | "race" |
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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 | 61 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 61 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 64 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 943 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 893 | | uniqueNames | 15 | | maxNameDensity | 1.34 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 12 | | Raven | 1 | | Nest | 1 | | Herrera | 2 | | Navarro | 1 | | Metropolitan | 1 | | London | 1 | | Veil | 2 | | Market | 2 | | Morris | 1 | | Tomás | 3 | | Heads | 1 | | Tommy | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Herrera" | | 5 | "Navarro" | | 6 | "Market" | | 7 | "Morris" | | 8 | "Tomás" | | 9 | "Heads" | | 10 | "Tommy" |
| | places | | | globalScore | 0.828 | | windowScore | 1 | |
| 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 | 943 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 97.69% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 41 | | std | 20.17 | | cv | 0.492 | | sampleLengths | | 0 | 63 | | 1 | 70 | | 2 | 32 | | 3 | 45 | | 4 | 58 | | 5 | 17 | | 6 | 71 | | 7 | 54 | | 8 | 71 | | 9 | 62 | | 10 | 49 | | 11 | 11 | | 12 | 48 | | 13 | 39 | | 14 | 23 | | 15 | 35 | | 16 | 19 | | 17 | 17 | | 18 | 25 | | 19 | 40 | | 20 | 6 | | 21 | 63 | | 22 | 25 |
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| 99.51% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 61 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 151 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 64 | | ratio | 0.203 | | matches | | 0 | "The neon glow of the Raven’s Nest flickered ahead—green like an ominous eye, casting long, jittery shadows across the warped brick walls." | | 1 | "But tonight, something had tipped—a trail gone cold, a murmur of voice saved only in code." | | 2 | "She reached the alley, chest heaving, and caught sight of him slipping down a flight of grimy steps carved into the brick—a forgotten entrance that spilled away from the city’s heartbeat." | | 3 | "The underground air was instantly colder, laced with echoes—drips from cracked pipes, distant voices folded in shadow." | | 4 | "This wasn’t the usual turf for a Metropolitan detective—she’d chased criminals through many labyrinths, but nothing like what lay beneath London’s skin." | | 5 | "She heard muffled voices—bargaining in a language of nods and half-glimpses, the quick shuffle of feet on concrete and metal." | | 6 | "But her mind tightened around the memory of DS Morris—his smile the last warmth she’d ever seen before he was swallowed by something beyond her understanding." | | 7 | "Banned trinkets gleamed—a spiderweb of harsh runes etched in obsidian, jars of iridescent liquid breathing faintly in slow pulses, aged leather volumes inked in languages long dead." | | 8 | "Faces peered—some human, others less so, their eyes gleaming with wary intelligence, too many quick movements to count." | | 9 | "She held out a blackened, ivory bone token—engraved with cracking symbols, the kind did not appear in any registry Quinn had ever seen." | | 10 | "The market was no ordinary place—it was a hive built on shadows, barter, and secrets that could unravel a cop’s world." | | 11 | "The chase was no longer a race through city streets—this was deeper, darker, the endgame beginning beneath the city’s bones." | | 12 | "The night knew her now—and so did the Veil Market." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 674 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.017804154302670624 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005934718100890208 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 64 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 64 | | mean | 14.73 | | std | 7.36 | | cv | 0.499 | | sampleLengths | | 0 | 27 | | 1 | 14 | | 2 | 22 | | 3 | 3 | | 4 | 1 | | 5 | 15 | | 6 | 2 | | 7 | 19 | | 8 | 16 | | 9 | 14 | | 10 | 11 | | 11 | 6 | | 12 | 15 | | 13 | 15 | | 14 | 30 | | 15 | 31 | | 16 | 20 | | 17 | 7 | | 18 | 17 | | 19 | 17 | | 20 | 22 | | 21 | 15 | | 22 | 17 | | 23 | 14 | | 24 | 20 | | 25 | 20 | | 26 | 28 | | 27 | 26 | | 28 | 17 | | 29 | 14 | | 30 | 21 | | 31 | 27 | | 32 | 13 | | 33 | 18 | | 34 | 18 | | 35 | 11 | | 36 | 2 | | 37 | 13 | | 38 | 19 | | 39 | 10 | | 40 | 4 | | 41 | 16 | | 42 | 23 | | 43 | 5 | | 44 | 7 | | 45 | 11 | | 46 | 14 | | 47 | 21 | | 48 | 6 | | 49 | 11 |
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| 68.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.421875 | | totalSentences | 64 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 57 | | matches | | 0 | "Then he disappeared into the" | | 1 | "Somewhere ahead, the faint glow" |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 57 | | matches | | 0 | "Her breaths came hard and" | | 1 | "She didn’t slow." | | 2 | "She’d known that scarred forearm" | | 3 | "She couldn’t lose him now," | | 4 | "She reached the alley, chest" | | 5 | "Their eyes met just a" | | 6 | "Her hand brushed the stratified" | | 7 | "She heard muffled voices—bargaining in" | | 8 | "She could hear the clink" | | 9 | "Her boots echoed down the" | | 10 | "She felt the press of" | | 11 | "She was here now." | | 12 | "She held out a blackened," | | 13 | "Her voice was like gravel" | | 14 | "She stepped forward, token clenched" | | 15 | "she said, voice hardening like" |
| | ratio | 0.281 | |
| 56.49% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 57 | | matches | | 0 | "The rain hit the slick" | | 1 | "Her breaths came hard and" | | 2 | "The neon glow of the" | | 3 | "She didn’t slow." | | 4 | "She’d known that scarred forearm" | | 5 | "Tommy was the link, the" | | 6 | "Quinn’s fingers bent around the" | | 7 | "Time was folding in on" | | 8 | "She couldn’t lose him now," | | 9 | "Herrera’s silhouette jolted to the" | | 10 | "The scent of damp stone" | | 11 | "She reached the alley, chest" | | 12 | "Their eyes met just a" | | 13 | "The underground air was instantly" | | 14 | "Quinn paused at the top" | | 15 | "This wasn’t the usual turf" | | 16 | "An underground black market cloaked" | | 17 | "Her hand brushed the stratified" | | 18 | "She heard muffled voices—bargaining in" | | 19 | "She could hear the clink" |
| | ratio | 0.807 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 2 | | matches | | 0 | "She reached the alley, chest heaving, and caught sight of him slipping down a flight of grimy steps carved into the brick—a forgotten entrance that spilled away…" | | 1 | "Tomás had disappeared inside that shifting maze, and Quinn knew that stepping forward could mean crossing the line into a world that didn’t care about badges or…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, voice hardening like tempered steel" |
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| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "the woman warned (warn)" |
| | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.333 | | effectiveRatio | 0.286 | |