| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "The woman waved dismissively [dismissively]" | | 1 | "eye blinked independently [independently]" |
| | dialogueSentences | 36 | | tagDensity | 0.472 | | leniency | 0.944 | | rawRatio | 0.118 | | effectiveRatio | 0.111 | |
| 82.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1414 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "carefully" | | 2 | "very" | | 3 | "really" |
| |
| 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) | |
| 57.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1414 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | word | "practiced ease" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | |
| | highlights | | 0 | "shattered" | | 1 | "practiced ease" | | 2 | "echoing" | | 3 | "footsteps" | | 4 | "echoed" | | 5 | "sense of" | | 6 | "shimmered" | | 7 | "chill" | | 8 | "chilled" | | 9 | "could feel" | | 10 | "loomed" | | 11 | "perfect" |
| |
| 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 | 111 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 111 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | 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 | 1398 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1065 | | uniqueNames | 19 | | maxNameDensity | 2.54 | | worstName | "Quinn" | | maxWindowNameDensity | 6 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 27 | | London | 2 | | Victorian | 1 | | Morris | 5 | | Greek | 1 | | University | 1 | | Tube | 1 | | October | 1 | | Veil | 2 | | Market | 5 | | Met | 1 | | Movement | 1 | | Tomás | 1 | | Raven | 1 | | Nest | 1 | | Burnt | 1 | | Bridge | 1 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "University" | | 4 | "October" | | 5 | "Market" | | 6 | "Met" | | 7 | "Tomás" | | 8 | "Raven" |
| | places | | 0 | "London" | | 1 | "Burnt" | | 2 | "Bridge" |
| | globalScore | 0.232 | | windowScore | 0 | |
| 48.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like old maintenance tunnels" | | 1 | "quite candles" | | 2 | "forehead that seemed to track Quinn's movements independently" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1398 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 24.1 | | std | 15.61 | | cv | 0.648 | | sampleLengths | | 0 | 18 | | 1 | 3 | | 2 | 48 | | 3 | 39 | | 4 | 21 | | 5 | 11 | | 6 | 58 | | 7 | 1 | | 8 | 40 | | 9 | 8 | | 10 | 35 | | 11 | 6 | | 12 | 9 | | 13 | 45 | | 14 | 65 | | 15 | 16 | | 16 | 24 | | 17 | 51 | | 18 | 29 | | 19 | 38 | | 20 | 7 | | 21 | 2 | | 22 | 37 | | 23 | 20 | | 24 | 25 | | 25 | 32 | | 26 | 8 | | 27 | 19 | | 28 | 16 | | 29 | 4 | | 30 | 35 | | 31 | 8 | | 32 | 3 | | 33 | 40 | | 34 | 13 | | 35 | 29 | | 36 | 24 | | 37 | 28 | | 38 | 11 | | 39 | 37 | | 40 | 16 | | 41 | 33 | | 42 | 45 | | 43 | 23 | | 44 | 9 | | 45 | 38 | | 46 | 31 | | 47 | 30 | | 48 | 39 | | 49 | 27 |
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| 98.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 111 | | matches | | 0 | "been carved" | | 1 | "been transformed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 211 | | matches | | 0 | "was playing" | | 1 | "was seeing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 130 | | ratio | 0.054 | | matches | | 0 | "The suspect—male, five-ten, dark hoodie—had thirty yards on her." | | 1 | "The air tasted of rust and something else—incense?" | | 2 | "Those symbols the fraud squad had been asking about—reverse Greek, they'd said—started appearing in the torch's sweep." | | 3 | "People moved between the stalls—dozens of them." | | 4 | "Normal enough looking—business suit, sensible shoes—except for the third eye tattooed on her forehead that seemed to track Quinn's movements independently." | | 5 | "The sound was wrong—too deep, too long, vibrating through Quinn's bones." | | 6 | "The lights—not candles, never were candles—began extinguishing one by one." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1079 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.03707136237256719 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006487488415199258 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 10.75 | | std | 7.12 | | cv | 0.662 | | sampleLengths | | 0 | 4 | | 1 | 14 | | 2 | 3 | | 3 | 10 | | 4 | 12 | | 5 | 26 | | 6 | 9 | | 7 | 21 | | 8 | 9 | | 9 | 21 | | 10 | 3 | | 11 | 8 | | 12 | 12 | | 13 | 15 | | 14 | 18 | | 15 | 6 | | 16 | 7 | | 17 | 1 | | 18 | 18 | | 19 | 11 | | 20 | 11 | | 21 | 4 | | 22 | 4 | | 23 | 8 | | 24 | 3 | | 25 | 9 | | 26 | 7 | | 27 | 8 | | 28 | 6 | | 29 | 9 | | 30 | 6 | | 31 | 23 | | 32 | 8 | | 33 | 4 | | 34 | 2 | | 35 | 2 | | 36 | 8 | | 37 | 21 | | 38 | 19 | | 39 | 17 | | 40 | 7 | | 41 | 5 | | 42 | 4 | | 43 | 8 | | 44 | 16 | | 45 | 9 | | 46 | 13 | | 47 | 19 | | 48 | 10 | | 49 | 7 |
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| 78.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.5153846153846153 | | totalSentences | 130 | | uniqueOpeners | 67 | |
| 64.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 103 | | matches | | 0 | "Then he dove left into" | | 1 | "At least until the next" |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 103 | | matches | | 0 | "He moved like someone who" | | 1 | "She keyed her radio, struggling" | | 2 | "She followed, lungs burning, and" | | 3 | "She crouched at the entrance," | | 4 | "Her radio hissed again." | | 5 | "Her shoulders brushed damp brick" | | 6 | "she muttered, remembering the briefing" | | 7 | "She'd heard whispers at crime" | | 8 | "Her suspect had vanished into" | | 9 | "She hadn't given her name." | | 10 | "She gestured to a archway" | | 11 | "They'd found him three days" | | 12 | "She ran for the Burnt" | | 13 | "She thought of Morris." |
| | ratio | 0.136 | |
| 37.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 103 | | matches | | 0 | "Glass shattered against brick." | | 1 | "Detective Harlow Quinn ducked as" | | 2 | "The figure ahead vaulted a" | | 3 | "Quinn cursed, her leather watch" | | 4 | "The rain had turned London's" | | 5 | "The suspect—male, five-ten, dark hoodie—had" | | 6 | "He moved like someone who" | | 7 | "She keyed her radio, struggling" | | 8 | "Static crackled back." | | 9 | "The storm was playing havoc" | | 10 | "The man ahead glanced back," | | 11 | "She followed, lungs burning, and" | | 12 | "The opening led down into" | | 13 | "She crouched at the entrance," | | 14 | "The kind that honeycombed beneath" | | 15 | "Water dripped steadily from above," | | 16 | "Her radio hissed again." | | 17 | "The smart play was to" | | 18 | "That's what DS Morris would" | | 19 | "Morris always played it safe," |
| | ratio | 0.845 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 103 | | matches | (empty) | | ratio | 0 | |
| 57.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 5 | | matches | | 0 | "The kind that honeycombed beneath London, forgotten arteries from Victorian times." | | 1 | "Quinn picked up her pace, following the sound through a maze of passages that shouldn't exist on any city planning map." | | 2 | "Normal enough looking—business suit, sensible shoes—except for the third eye tattooed on her forehead that seemed to track Quinn's movements independently." | | 3 | "Quinn watched the Market dissolve around her, vendors vanishing into passages that shouldn't exist, carrying wares that couldn't be real." | | 4 | "Of the case files that made no sense, the evidence that disappeared, the witnesses who forgot everything overnight." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "the woman continued (continue)" | | 2 | "The woman sighed (sigh)" | | 3 | "the woman added (add)" |
| | dialogueSentences | 36 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.444 | | effectiveRatio | 0.222 | |