| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "Tomás said softly [softly]" |
| | dialogueSentences | 34 | | tagDensity | 0.382 | | leniency | 0.765 | | rawRatio | 0.077 | | effectiveRatio | 0.059 | |
| 96.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1474 | | 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) | |
| 32.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1474 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "flickered" | | 1 | "maw" | | 2 | "shattered" | | 3 | "rhythmic" | | 4 | "throb" | | 5 | "echoed" | | 6 | "vibrated" | | 7 | "dance" | | 8 | "pulse" | | 9 | "scanning" | | 10 | "silk" | | 11 | "velvet" | | 12 | "silence" | | 13 | "stark" | | 14 | "echo" | | 15 | "whisper" |
| |
| 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 | 1 | | narrationSentences | 104 | | matches | | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1461 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 72.51% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1226 | | uniqueNames | 18 | | maxNameDensity | 1.55 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | London | 2 | | Quinn | 2 | | Soho | 2 | | Harlow | 19 | | Morris | 1 | | West | 1 | | End | 1 | | Victorian | 1 | | Raven | 1 | | Nest | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Herrera | 2 | | Saint | 1 | | Christopher | 1 | | Tomás | 10 | | Detective | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Harlow" | | 2 | "Morris" | | 3 | "Raven" | | 4 | "Nest" | | 5 | "Herrera" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Tomás" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "West" | | 3 | "End" | | 4 | "Market" |
| | globalScore | 0.725 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 1 | | matches | | 0 | "organs that seemed to pulse in time with her own heartbeat" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1461 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 124 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 24.76 | | std | 17.62 | | cv | 0.712 | | sampleLengths | | 0 | 56 | | 1 | 3 | | 2 | 79 | | 3 | 40 | | 4 | 79 | | 5 | 19 | | 6 | 7 | | 7 | 45 | | 8 | 38 | | 9 | 15 | | 10 | 29 | | 11 | 58 | | 12 | 38 | | 13 | 3 | | 14 | 41 | | 15 | 1 | | 16 | 23 | | 17 | 9 | | 18 | 22 | | 19 | 19 | | 20 | 26 | | 21 | 54 | | 22 | 11 | | 23 | 23 | | 24 | 28 | | 25 | 2 | | 26 | 49 | | 27 | 17 | | 28 | 7 | | 29 | 30 | | 30 | 25 | | 31 | 14 | | 32 | 26 | | 33 | 13 | | 34 | 22 | | 35 | 18 | | 36 | 3 | | 37 | 24 | | 38 | 51 | | 39 | 27 | | 40 | 12 | | 41 | 24 | | 42 | 10 | | 43 | 30 | | 44 | 17 | | 45 | 19 | | 46 | 30 | | 47 | 4 | | 48 | 11 | | 49 | 43 |
| |
| 98.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 104 | | matches | | 0 | "were gone" | | 1 | "being wrenched" |
| |
| 98.99% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 198 | | matches | | 0 | "were nearing" | | 1 | "were beginning" | | 2 | "was standing" |
| |
| 27.65% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 124 | | ratio | 0.04 | | matches | | 0 | "She reached the fence just as the suspect disappeared into a yawning concrete maw—a service entrance for the abandoned Tube expansion." | | 1 | "At the bottom of the stairs, the tunnel opened into a wide, vaulted chamber—the guts of an abandoned station." | | 2 | "She had heard the whispers in the precinct—stories told in low voices over lukewarm tea." | | 3 | "The wood didn't burn; it vanished, turned into a pile of fine, white ash in a heartbeat." | | 4 | "A scream echoed from the market—a long, agonizing sound that was cut short by a wet splash." |
| |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1239 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, leather-bound case." | | 1 | "long, slate-grey robes" |
| | adverbCount | 15 | | adverbRatio | 0.012106537530266344 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005649717514124294 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 11.78 | | std | 6.52 | | cv | 0.554 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 25 | | 3 | 3 | | 4 | 19 | | 5 | 15 | | 6 | 30 | | 7 | 15 | | 8 | 12 | | 9 | 11 | | 10 | 17 | | 11 | 24 | | 12 | 22 | | 13 | 13 | | 14 | 2 | | 15 | 18 | | 16 | 7 | | 17 | 12 | | 18 | 7 | | 19 | 21 | | 20 | 10 | | 21 | 14 | | 22 | 9 | | 23 | 29 | | 24 | 15 | | 25 | 10 | | 26 | 8 | | 27 | 11 | | 28 | 6 | | 29 | 17 | | 30 | 17 | | 31 | 18 | | 32 | 19 | | 33 | 19 | | 34 | 3 | | 35 | 2 | | 36 | 15 | | 37 | 20 | | 38 | 4 | | 39 | 1 | | 40 | 17 | | 41 | 6 | | 42 | 9 | | 43 | 5 | | 44 | 9 | | 45 | 8 | | 46 | 19 | | 47 | 26 | | 48 | 13 | | 49 | 6 |
| |
| 42.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.2903225806451613 | | totalSentences | 124 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 95 | | matches | | 0 | "Instead, they dived toward a" | | 1 | "Then she saw him." | | 2 | "Then came the heavy, rhythmic" |
| | ratio | 0.032 | |
| 97.89% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 95 | | matches | | 0 | "She kept her eyes locked" | | 1 | "She shoved the memory back" | | 2 | "She rounded the corner, her" | | 3 | "They tumbled with a clatter-clank," | | 4 | "They were nearing the edge" | | 5 | "She’d been chasing this ghost" | | 6 | "She reached the fence just" | | 7 | "She drew her baton, the" | | 8 | "It wasn't the sound of" | | 9 | "It was the sound of" | | 10 | "It was a violet hue," | | 11 | "She had heard the whispers" | | 12 | "She hadn't believed them." | | 13 | "She passed a table covered" | | 14 | "She ignored him, her eyes" | | 15 | "He was standing by a" | | 16 | "He was leaning over a" | | 17 | "He was younger than she’d" | | 18 | "He looked terrified." | | 19 | "He looked up, his warm" |
| | ratio | 0.305 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 95 | | matches | | 0 | "The silver heel of a" | | 1 | "Harlow Quinn didn't break stride," | | 2 | "She kept her eyes locked" | | 3 | "The command died in the" | | 4 | "The scent of raw beef" | | 5 | "She shoved the memory back" | | 6 | "She rounded the corner, her" | | 7 | "They tumbled with a clatter-clank," | | 8 | "The suspect was fast, unnaturally" | | 9 | "They were nearing the edge" | | 10 | "The distinctive green neon sign" | | 11 | "Harlow’s hand moved instinctively to" | | 12 | "She’d been chasing this ghost" | | 13 | "The suspect didn't head for" | | 14 | "She reached the fence just" | | 15 | "Harlow slowed, her boots crunching" | | 16 | "She drew her baton, the" | | 17 | "The air changed as she" | | 18 | "The roar of London’s surface" | | 19 | "A laugh echoed from the" |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 5 | | matches | | 0 | "The scent of raw beef and bleach stung Harlow’s nose, a sharp, metallic tang that reminded her too much of the basement where they’d found DS Morris three years…" | | 1 | "The suspect was fast, unnaturally so, moving with a fluid grace that defied the slick, uneven ground." | | 2 | "The roar of London’s surface traffic muffled into a low, rhythmic throb, replaced by a heavy, humid stillness that smelled of wet stone and something sweet, lik…" | | 3 | "It was the sound of someone who had reached their destination." | | 4 | "A scream echoed from the market—a long, agonizing sound that was cut short by a wet splash." |
| |
| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "Harlow asked, her hand tightening on her baton" | | 1 | "she demanded, her voice a sharp whisper" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 7 | | fancyTags | | 0 | "Harlow muttered (mutter)" | | 1 | "he hissed (hiss)" | | 2 | "Tomás whispered (whisper)" | | 3 | "Tomás shouted (shout)" | | 4 | "Herrera hissed (hiss)" | | 5 | "she demanded (demand)" | | 6 | "she whispered (whisper)" |
| | dialogueSentences | 34 | | tagDensity | 0.324 | | leniency | 0.647 | | rawRatio | 0.636 | | effectiveRatio | 0.412 | |