| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 2 | | adverbTags | | 0 | "Herrera shouted back [back]" | | 1 | "the man said softly [softly]" |
| | dialogueSentences | 32 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0.2 | | effectiveRatio | 0.125 | |
| 90.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1505 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "suddenly" | | 1 | "really" | | 2 | "softly" |
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| 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) | |
| 40.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1505 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "thundered" | | 1 | "flickered" | | 2 | "footsteps" | | 3 | "rhythmic" | | 4 | "echoing" | | 5 | "standard" | | 6 | "gloom" | | 7 | "pulsed" | | 8 | "glinting" | | 9 | "leveraging" | | 10 | "chilling" | | 11 | "porcelain" | | 12 | "silk" | | 13 | "weight" | | 14 | "grave" |
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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) | |
| 72.14% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 101 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 122 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1494 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1207 | | uniqueNames | 19 | | maxNameDensity | 1.57 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 19 | | Soho | 1 | | Raven | 2 | | Nest | 2 | | London | 1 | | Earth | 1 | | Morris | 1 | | Victorian | 1 | | Underground | 1 | | Veil | 1 | | Market | 1 | | Herrera | 6 | | Saint | 1 | | Christopher | 1 | | One | 1 | | Arbiters | 2 | | Arbiter | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Morris" | | 5 | "Market" | | 6 | "Herrera" | | 7 | "Saint" | | 8 | "Christopher" | | 9 | "Arbiters" | | 10 | "Arbiter" |
| | places | | | globalScore | 0.713 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 5 | | matches | | 0 | "jacket that seemed to swallow the dim light of Soho’s neon district" | | 1 | "tasted like iron on her tongue" | | 2 | "looked like he’d been carved from a block" | | 3 | "looked like a man who hadn't slept in a w" | | 4 | "coats that seemed to absorb the ambient light" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.669 | | wordCount | 1494 | | matches | | 0 | "not the usual London subterranean funk of sewage and wet Earth, but something sharper" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 122 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 27.67 | | std | 16.66 | | cv | 0.602 | | sampleLengths | | 0 | 44 | | 1 | 2 | | 2 | 51 | | 3 | 67 | | 4 | 11 | | 5 | 32 | | 6 | 30 | | 7 | 44 | | 8 | 39 | | 9 | 2 | | 10 | 2 | | 11 | 52 | | 12 | 52 | | 13 | 6 | | 14 | 42 | | 15 | 1 | | 16 | 16 | | 17 | 13 | | 18 | 39 | | 19 | 31 | | 20 | 15 | | 21 | 8 | | 22 | 51 | | 23 | 58 | | 24 | 24 | | 25 | 16 | | 26 | 45 | | 27 | 19 | | 28 | 44 | | 29 | 29 | | 30 | 9 | | 31 | 27 | | 32 | 24 | | 33 | 2 | | 34 | 45 | | 35 | 18 | | 36 | 27 | | 37 | 32 | | 38 | 36 | | 39 | 20 | | 40 | 13 | | 41 | 22 | | 42 | 39 | | 43 | 44 | | 44 | 38 | | 45 | 19 | | 46 | 8 | | 47 | 47 | | 48 | 38 | | 49 | 10 |
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| 87.89% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 101 | | matches | | 0 | "been carved" | | 1 | "been transformed" | | 2 | "were packed" | | 3 | "were hidden" | | 4 | "being cocked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 203 | | matches | | 0 | "was hawking" | | 1 | "was weaving" | | 2 | "were approaching" |
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| 72.60% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 122 | | ratio | 0.025 | | matches | | 0 | "The smell hit her then—not the usual London subterranean funk of sewage and wet Earth, but something sharper." | | 1 | "A vendor to her left was hawking jars of swirling, bioluminescent mist; another sat behind a table covered in teeth of varying sizes, meticulously labelled in a script Quinn didn't recognise." | | 2 | "They didn't walk; they drifted, their movements synchronous and unsettlingly silent." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1218 | | adjectiveStacks | 1 | | stackExamples | | 0 | "long, charcoal-grey coats" |
| | adverbCount | 33 | | adverbRatio | 0.027093596059113302 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008210180623973728 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 122 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 122 | | mean | 12.25 | | std | 7.25 | | cv | 0.592 | | sampleLengths | | 0 | 22 | | 1 | 22 | | 2 | 2 | | 3 | 11 | | 4 | 21 | | 5 | 19 | | 6 | 24 | | 7 | 10 | | 8 | 22 | | 9 | 11 | | 10 | 11 | | 11 | 7 | | 12 | 16 | | 13 | 9 | | 14 | 30 | | 15 | 11 | | 16 | 10 | | 17 | 18 | | 18 | 1 | | 19 | 2 | | 20 | 2 | | 21 | 5 | | 22 | 1 | | 23 | 33 | | 24 | 2 | | 25 | 2 | | 26 | 12 | | 27 | 5 | | 28 | 13 | | 29 | 5 | | 30 | 17 | | 31 | 14 | | 32 | 19 | | 33 | 4 | | 34 | 15 | | 35 | 6 | | 36 | 25 | | 37 | 17 | | 38 | 1 | | 39 | 10 | | 40 | 6 | | 41 | 4 | | 42 | 9 | | 43 | 15 | | 44 | 24 | | 45 | 12 | | 46 | 19 | | 47 | 7 | | 48 | 8 | | 49 | 8 |
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| 50.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.35537190082644626 | | totalSentences | 121 | | uniqueOpeners | 43 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 94 | | matches | | 0 | "Instead, he dove toward a" | | 1 | "Then, the walls changed." | | 2 | "Instead of commuters, the platforms" |
| | ratio | 0.032 | |
| 88.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 94 | | matches | | 0 | "She followed, her hand instinctively" | | 1 | "They passed a small cornershop," | | 2 | "She skidded to a halt" | | 3 | "Her partner, Morris, had disappeared" | | 4 | "She didn't wait to recover." | | 5 | "She followed the sound, her" | | 6 | "She rounded a corner and" | | 7 | "He wore a high-collared coat" | | 8 | "She stepped into his space," | | 9 | "He stepped aside, a slow," | | 10 | "He gripped a heavy iron" | | 11 | "It smelled of cinnamon, old" | | 12 | "She spotted the waxed jacket." | | 13 | "she yelled, the name she’d" | | 14 | "He wasn't the monster she’d" | | 15 | "He looked like a man" | | 16 | "She pushed past a woman" | | 17 | "His gaze shifted to a" | | 18 | "They wore long, charcoal-grey coats" | | 19 | "They didn't walk; they drifted," |
| | ratio | 0.33 | |
| 2.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 94 | | matches | | 0 | "Lungs burning, Detective Harlow Quinn" | | 1 | "The suspect was fast, a" | | 2 | "The command was useless, a" | | 3 | "The figure didn't even flinch," | | 4 | "She followed, her hand instinctively" | | 5 | "The chase led them away" | | 6 | "Here, the air tasted of" | | 7 | "They passed a small cornershop," | | 8 | "A cat hissed from atop" | | 9 | "The suspect didn't head for" | | 10 | "Quinn lunged, her fingers brushing" | | 11 | "She skidded to a halt" | | 12 | "A vertical shaft dropped ten" | | 13 | "The smell hit her then—not" | | 14 | "Quinn checked her leather watch." | | 15 | "Her partner, Morris, had disappeared" | | 16 | "The impact rattled her teeth," | | 17 | "She didn't wait to recover." | | 18 | "The suspect’s footsteps were a" | | 19 | "This wasn't a standard sewer." |
| | ratio | 0.915 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 51.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 7 | | matches | | 0 | "Lungs burning, Detective Harlow Quinn skidded around a stack of rotting wooden crates, her boots losing purchase on the slick, oil-streaked cobblestones." | | 1 | "The figure didn't even flinch, vaulting over a low brick wall with a fluid, practiced grace that made Quinn’s teeth ache." | | 2 | "They passed a small cornershop, its windows barred and its interior glowing with a sickly yellow fluorescence that spilled onto the pavement." | | 3 | "The brickwork was too old, the mortar crumbling into dust that tasted like iron on her tongue." | | 4 | "They wore long, charcoal-grey coats that seemed to absorb the ambient light." | | 5 | "The air in the station began to vibrate, a low-frequency hum that made Quinn’s vision blur." | | 6 | "She slammed into the man with the cane, tumbling into a small, cramped room that smelled of old maps and stale beer." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "Herrera shouted back, his voice strained" | | 1 | "Herrera whispered, his voice trembling" |
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| 56.25% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "she yelled (yell)" | | 1 | "Herrera shouted back (shout)" | | 2 | "Herrera whispered (whisper)" |
| | dialogueSentences | 32 | | tagDensity | 0.219 | | leniency | 0.438 | | rawRatio | 0.429 | | effectiveRatio | 0.188 | |