| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn’s voice cracked like [like]" |
| | dialogueSentences | 13 | | tagDensity | 0.538 | | leniency | 1 | | rawRatio | 0.143 | | effectiveRatio | 0.143 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 808 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 808 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "shattered" | | 1 | "measured" | | 2 | "flickered" | | 3 | "beacon" | | 4 | "footsteps" | | 5 | "tangible" | | 6 | "echoes" | | 7 | "pulse" | | 8 | "throbbed" | | 9 | "clandestine" | | 10 | "gleaming" | | 11 | "flicker" | | 12 | "quickened" | | 13 | "sanctuary" | | 14 | "whisper" | | 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 | 55 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 55 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 61 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 811 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 55.53% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 741 | | uniqueNames | 14 | | maxNameDensity | 1.89 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 14 | | Raven | 2 | | Nest | 2 | | Leather-slicked | 1 | | Soho | 1 | | Veil | 1 | | Market | 1 | | Tube | 1 | | Camden | 1 | | Tommy | 4 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Tommy" | | 4 | "Saint" | | 5 | "Christopher" |
| | places | | | globalScore | 0.555 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 76.70% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.233 | | wordCount | 811 | | matches | | 0 | "not just the risk she embraced nightly on the force, but something more primal, something unnamed" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 24.58 | | std | 18.02 | | cv | 0.733 | | sampleLengths | | 0 | 90 | | 1 | 17 | | 2 | 57 | | 3 | 29 | | 4 | 37 | | 5 | 49 | | 6 | 9 | | 7 | 38 | | 8 | 33 | | 9 | 38 | | 10 | 16 | | 11 | 35 | | 12 | 37 | | 13 | 13 | | 14 | 29 | | 15 | 6 | | 16 | 4 | | 17 | 36 | | 18 | 7 | | 19 | 20 | | 20 | 39 | | 21 | 21 | | 22 | 5 | | 23 | 18 | | 24 | 12 | | 25 | 25 | | 26 | 28 | | 27 | 12 | | 28 | 7 | | 29 | 20 | | 30 | 12 | | 31 | 4 | | 32 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 122 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 3 | | flaggedSentences | 16 | | totalSentences | 61 | | ratio | 0.262 | | matches | | 0 | "The suspect — lithe, quick — ducked into an alley slick with rain and refuse, the stench of damp cardboard rising in the humid night air." | | 1 | "Quinn’s mind snapped to the missing pieces of her last case — fragments she’d buried in favour of tangible leads." | | 2 | "Every instinct screamed caution—not just the risk she embraced nightly on the force, but something more primal, something unnamed." | | 3 | "The underground pulse throbbed faintly — a low hum vibrating off the walls, carrying the scent of smoke, spilled spirits, and something faintly metallic." | | 4 | "Quinn’s gaze found the faded graffiti and peeling posters plastered around a rusted gate; this wasn’t just a forgotten service corridor." | | 5 | "The faint scrape of shifted crates and muffled voices mingled with distant, discordant music — a twisted lullaby for the forgotten." | | 6 | "Footsteps ahead — sharp, erratic." | | 7 | "Ahead, a faint shimmer caught her eye—a greenish, claw-marked token lying at the base of a broken pillar." | | 8 | "The market wasn’t just any black market — it was a secret realm of the outlawed, a clandestine haven for the supernatural and those desperate enough to deal with them." | | 9 | "Flickering, faded signs warned of danger in multi-lingual scripts; peeling maps pointed nowhere." | | 10 | "Crowds ghosted through dim light — stunted figures wrapped in cloaks, some human, others..." | | 11 | "The place had an atmosphere thick like old bruises; bartering whispered between cracked tiles, the currency measured in bones, blood, secrets." | | 12 | "“There,” a flicker of movement — Tommy — emerged from the crowd." | | 13 | "Ahead, the market’s pulse quickened—loud voices spat in forgotten languages, measured footsteps closed fast, and the scent of iron burned sharp beneath the putrid air." | | 14 | "The suspect’s silhouette emerged near the hidden back room of The Raven’s Nest — that sanctuary turned battleground." | | 15 | "“Quinn!” Tommy’s call sliced through the thick air, but the chase was a whisper now—a one-sided race toward the inevitable." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 737 | | adjectiveStacks | 1 | | stackExamples | | 0 | "greenish, claw-marked token lying" |
| | adverbCount | 24 | | adverbRatio | 0.032564450474898234 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.013568521031207599 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 61 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 61 | | mean | 13.3 | | std | 7.16 | | cv | 0.538 | | sampleLengths | | 0 | 14 | | 1 | 26 | | 2 | 19 | | 3 | 31 | | 4 | 17 | | 5 | 15 | | 6 | 20 | | 7 | 22 | | 8 | 16 | | 9 | 13 | | 10 | 18 | | 11 | 19 | | 12 | 24 | | 13 | 21 | | 14 | 4 | | 15 | 9 | | 16 | 21 | | 17 | 12 | | 18 | 5 | | 19 | 18 | | 20 | 1 | | 21 | 6 | | 22 | 4 | | 23 | 4 | | 24 | 8 | | 25 | 30 | | 26 | 16 | | 27 | 22 | | 28 | 13 | | 29 | 14 | | 30 | 2 | | 31 | 21 | | 32 | 13 | | 33 | 14 | | 34 | 15 | | 35 | 6 | | 36 | 4 | | 37 | 12 | | 38 | 17 | | 39 | 7 | | 40 | 7 | | 41 | 15 | | 42 | 5 | | 43 | 9 | | 44 | 25 | | 45 | 5 | | 46 | 10 | | 47 | 11 | | 48 | 5 | | 49 | 8 |
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| 72.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.47540983606557374 | | totalSentences | 61 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 53 | | matches | | 0 | "It was a gateway." | | 1 | "She forced herself forward, muscles" | | 2 | "She swallowed dry air." | | 3 | "Her beat cop instincts hollered" | | 4 | "His olive skin glistened faintly" | | 5 | "she hissed, stepping forward, muscles" | | 6 | "He shoved a worn leather" |
| | ratio | 0.132 | |
| 16.60% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 53 | | matches | | 0 | "Glass shattered under protest as" | | 1 | "The suspect — lithe, quick" | | 2 | "Quinn’s breath came in hard," | | 3 | "The neon green glow of" | | 4 | "Quinn’s voice cracked like a" | | 5 | "Quinn’s mind snapped to the" | | 6 | "This time, however, the instinct" | | 7 | "The alley narrowed into a" | | 8 | "The suspect’s silhouette crouched at" | | 9 | "Quinn’s boots struck cold stone," | | 10 | "Every instinct screamed caution—not just" | | 11 | "The underground pulse throbbed faintly" | | 12 | "Quinn’s gaze found the faded" | | 13 | "It was a gateway." | | 14 | "She forced herself forward, muscles" | | 15 | "The faint scrape of shifted" | | 16 | "Quinn’s hand tightened on her" | | 17 | "Footsteps ahead — sharp, erratic." | | 18 | "A token from the Veil" | | 19 | "She swallowed dry air." |
| | ratio | 0.887 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "Quinn’s boots struck cold stone, her ears adjusting to the muted echoes that swallowed the city’s nocturnal roar." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn muttered, the name of the suspect burning on her tongue" | | 1 | "Tommy’s call sliced, but the chase was a whisper now—a one-sided race toward the inevitable" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn muttered (mutter)" | | 1 | "she hissed (hiss)" |
| | dialogueSentences | 13 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 1 | | effectiveRatio | 0.308 | |