| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1170 | | 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) | |
| 61.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1170 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "fractured" | | 1 | "gloom" | | 2 | "flickered" | | 3 | "electric" | | 4 | "familiar" | | 5 | "weight" | | 6 | "stomach" | | 7 | "scanning" |
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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 | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 87 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1162 | | ratio | 0.003 | | matches | | 0 | "missing, presumed dead" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.46% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1023 | | uniqueNames | 13 | | maxNameDensity | 1.27 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 13 | | Raven | 1 | | Nest | 1 | | London | 1 | | Tube | 1 | | Morris | 1 | | Veil | 1 | | Market | 1 | | Heads | 1 | | Tomás | 1 | | Rain | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Heads" | | 5 | "Tomás" | | 6 | "Rain" |
| | places | | | globalScore | 0.865 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.861 | | wordCount | 1162 | | matches | | 0 | "not recognition, but fear of recognition, the look of someone who knew more than" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 33.2 | | std | 24.27 | | cv | 0.731 | | sampleLengths | | 0 | 54 | | 1 | 3 | | 2 | 7 | | 3 | 97 | | 4 | 70 | | 5 | 27 | | 6 | 22 | | 7 | 3 | | 8 | 50 | | 9 | 40 | | 10 | 9 | | 11 | 13 | | 12 | 32 | | 13 | 77 | | 14 | 16 | | 15 | 9 | | 16 | 3 | | 17 | 59 | | 18 | 80 | | 19 | 26 | | 20 | 33 | | 21 | 4 | | 22 | 59 | | 23 | 40 | | 24 | 15 | | 25 | 54 | | 26 | 10 | | 27 | 48 | | 28 | 31 | | 29 | 21 | | 30 | 24 | | 31 | 32 | | 32 | 11 | | 33 | 51 | | 34 | 32 |
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| 93.16% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 87 | | matches | | 0 | "been sealed" | | 1 | "been, lit" | | 2 | "was pushed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 174 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 95 | | ratio | 0.074 | | matches | | 0 | "The man hit a gate at the bottom—an old iron thing, padlocked, rusted into the stone of a railway arch." | | 1 | "Tiled walls, the kind she recognised from disused Tube stations—white ceramic gone yellow with age, a fragment of old signage half-peeled." | | 2 | "The staircase curved, and the temperature changed with each step—colder, then suddenly warm, as if she'd passed through an invisible membrane." | | 3 | "Dozens of them, crammed along where the rails should have been, lit by lanterns that held no flame she could identify—just light, hanging captive in glass." | | 4 | "His face caught the lantern light—pale, sweating, scared of her in a place where she had every reason to be the one afraid." | | 5 | "A vendor shrieked something, and hands reached for Quinn from the dark beneath the stalls—she felt fingers brush her ankle and kicked free." | | 6 | "Something flickered across the man's face—not recognition, but fear of recognition, the look of someone who knew more than was safe." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1034 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.02804642166344294 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0019342359767891683 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 12.23 | | std | 8.84 | | cv | 0.723 | | sampleLengths | | 0 | 19 | | 1 | 16 | | 2 | 19 | | 3 | 3 | | 4 | 4 | | 5 | 3 | | 6 | 24 | | 7 | 27 | | 8 | 3 | | 9 | 16 | | 10 | 27 | | 11 | 11 | | 12 | 13 | | 13 | 25 | | 14 | 4 | | 15 | 6 | | 16 | 11 | | 17 | 20 | | 18 | 7 | | 19 | 6 | | 20 | 9 | | 21 | 7 | | 22 | 3 | | 23 | 11 | | 24 | 12 | | 25 | 27 | | 26 | 6 | | 27 | 21 | | 28 | 1 | | 29 | 12 | | 30 | 4 | | 31 | 2 | | 32 | 3 | | 33 | 10 | | 34 | 3 | | 35 | 10 | | 36 | 7 | | 37 | 3 | | 38 | 12 | | 39 | 4 | | 40 | 15 | | 41 | 10 | | 42 | 48 | | 43 | 7 | | 44 | 9 | | 45 | 6 | | 46 | 3 | | 47 | 3 | | 48 | 21 | | 49 | 18 |
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| 70.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4631578947368421 | | totalSentences | 95 | | uniqueOpeners | 44 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 80 | | matches | | 0 | "They never did." | | 1 | "She'd been tailing the man" | | 2 | "She'd watched that place long" | | 3 | "Her watch dug into her" | | 4 | "She kept the suspect's silhouette" | | 5 | "He pressed something to his" | | 6 | "She thumbed it." | | 7 | "She tried again." | | 8 | "She let it go." | | 9 | "Her thumb found the grip" | | 10 | "She'd promised herself she'd find" | | 11 | "She'd heard the name whispered" | | 12 | "Her suspect cut through the" | | 13 | "His face caught the lantern" | | 14 | "Her badge was useless here." | | 15 | "Her gun, maybe less so." | | 16 | "She kept her hand on" | | 17 | "He moved with her, hands" | | 18 | "He glanced over his shoulder," | | 19 | "Her hand tightened on the" |
| | ratio | 0.25 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 80 | | matches | | 0 | "Rain came down in sheets," | | 1 | "Detective Harlow Quinn ran through" | | 2 | "The figure didn't stop." | | 3 | "They never did." | | 4 | "Quinn cut the corner, shoulder" | | 5 | "She'd been tailing the man" | | 6 | "The Raven's Nest." | | 7 | "She'd watched that place long" | | 8 | "This one had clocked her" | | 9 | "Her watch dug into her" | | 10 | "She kept the suspect's silhouette" | | 11 | "The man hit a gate" | | 12 | "Quinn slowed, certain she had" | | 13 | "He pressed something to his" | | 14 | "A pale chip of something," | | 15 | "The padlock fell open on" | | 16 | "The gate swung wide, and" | | 17 | "Quinn reached the bottom of" | | 18 | "A staircase descended into the" | | 19 | "Quinn's hand went to the" |
| | ratio | 0.8 | |
| 62.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 80 | | matches | | | ratio | 0.013 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 6 | | matches | | 0 | "Cold air poured up from below, carrying smells that didn't belong under a London street: woodsmoke, something floral and rotten, the tang of metal she couldn't …" | | 1 | "The staircase curved, and the temperature changed with each step—colder, then suddenly warm, as if she'd passed through an invisible membrane." | | 2 | "The air thrummed with low conversation in languages that scraped at the inside of her skull." | | 3 | "She'd heard the name whispered by an informant who'd recanted everything the next morning, terrified, begging her to forget she'd ever heard it." | | 4 | "The coin-eyed woman tracked her with a smile that showed too many teeth." | | 5 | "Something flickered across the man's face—not recognition, but fear of recognition, the look of someone who knew more than was safe." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 16 | | tagDensity | 0.188 | | leniency | 0.375 | | rawRatio | 0.333 | | effectiveRatio | 0.125 | |