| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1364 | | 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) | |
| 81.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1364 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "blown wide" | | 1 | "pulsed" | | 2 | "footsteps" | | 3 | "intricate" | | 4 | "churned" |
| |
| 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 | 162 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 162 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 178 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 20 | | totalWords | 1366 | | ratio | 0.015 | | matches | | 0 | "Inquiry into disappearance of DS A. Morris – last seen near abandoned station, Camden – bone token recovered from pocket." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1220 | | uniqueNames | 18 | | maxNameDensity | 1.39 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Charing | 1 | | Cross | 2 | | Road | 2 | | Tottenham | 1 | | Court | 1 | | Quinn | 17 | | Camden | 4 | | Morris | 4 | | Delaney | 1 | | Pratt | 1 | | Street | 1 | | Tube | 3 | | Accent | 1 | | Manchester | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Camden" | | 2 | "Morris" | | 3 | "Tube" | | 4 | "Market" |
| | places | | 0 | "Raven" | | 1 | "Charing" | | 2 | "Cross" | | 3 | "Road" | | 4 | "Tottenham" | | 5 | "Court" | | 6 | "Pratt" | | 7 | "Street" | | 8 | "Manchester" |
| | globalScore | 0.803 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like gravel rolling in a tin" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1366 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 178 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 19.24 | | std | 15.9 | | cv | 0.826 | | sampleLengths | | 0 | 13 | | 1 | 4 | | 2 | 49 | | 3 | 16 | | 4 | 6 | | 5 | 10 | | 6 | 57 | | 7 | 2 | | 8 | 3 | | 9 | 45 | | 10 | 28 | | 11 | 3 | | 12 | 46 | | 13 | 27 | | 14 | 36 | | 15 | 51 | | 16 | 17 | | 17 | 35 | | 18 | 35 | | 19 | 23 | | 20 | 3 | | 21 | 51 | | 22 | 12 | | 23 | 11 | | 24 | 7 | | 25 | 28 | | 26 | 2 | | 27 | 3 | | 28 | 6 | | 29 | 17 | | 30 | 11 | | 31 | 20 | | 32 | 18 | | 33 | 12 | | 34 | 6 | | 35 | 7 | | 36 | 34 | | 37 | 4 | | 38 | 28 | | 39 | 47 | | 40 | 11 | | 41 | 26 | | 42 | 3 | | 43 | 55 | | 44 | 7 | | 45 | 5 | | 46 | 2 | | 47 | 11 | | 48 | 6 | | 49 | 8 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 162 | | matches | | 0 | "been, rusted" | | 1 | "were filed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 225 | | matches | | 0 | "was heading" | | 1 | "were just doing" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 178 | | ratio | 0.006 | | matches | | 0 | "Morris – last seen near abandoned station, Camden – bone token recovered from pocket.*" |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1221 | | adjectiveStacks | 1 | | stackExamples | | 0 | "single small white object." |
| | adverbCount | 38 | | adverbRatio | 0.031122031122031123 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004095004095004095 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 178 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 178 | | mean | 7.67 | | std | 5.6 | | cv | 0.729 | | sampleLengths | | 0 | 13 | | 1 | 4 | | 2 | 10 | | 3 | 7 | | 4 | 32 | | 5 | 2 | | 6 | 2 | | 7 | 2 | | 8 | 10 | | 9 | 6 | | 10 | 2 | | 11 | 8 | | 12 | 7 | | 13 | 13 | | 14 | 22 | | 15 | 7 | | 16 | 1 | | 17 | 1 | | 18 | 6 | | 19 | 2 | | 20 | 3 | | 21 | 9 | | 22 | 12 | | 23 | 12 | | 24 | 12 | | 25 | 8 | | 26 | 1 | | 27 | 8 | | 28 | 8 | | 29 | 3 | | 30 | 3 | | 31 | 3 | | 32 | 2 | | 33 | 14 | | 34 | 4 | | 35 | 3 | | 36 | 4 | | 37 | 16 | | 38 | 14 | | 39 | 2 | | 40 | 11 | | 41 | 5 | | 42 | 4 | | 43 | 17 | | 44 | 5 | | 45 | 5 | | 46 | 10 | | 47 | 4 | | 48 | 10 | | 49 | 11 |
| |
| 79.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.5112359550561798 | | totalSentences | 178 | | uniqueOpeners | 91 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 141 | | matches | | 0 | "Only the slap of trainers" | | 1 | "Too fast for someone who" | | 2 | "Just a half-step, his foot" | | 3 | "Then he stopped." | | 4 | "Even the squatters left it" | | 5 | "Then back at her." | | 6 | "Once from a junkie informant" | | 7 | "Once from the file on" | | 8 | "Everywhere, stalls lit by gas" |
| | ratio | 0.064 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 141 | | matches | | 0 | "He vaulted the railing and" | | 1 | "Her boots hit the wet" | | 2 | "She'd clocked him outside The" | | 3 | "He'd stood under that distinctive" | | 4 | "He'd held something in his" | | 5 | "Her breath burned." | | 6 | "He cut down a service" | | 7 | "He was heading for Camden." | | 8 | "She knew that route." | | 9 | "She'd walked it with Morris" | | 10 | "She knew the script." | | 11 | "Her chest heaved." | | 12 | "He turned again, down Pratt" | | 13 | "She held it low." | | 14 | "He lifted his hands." | | 15 | "He breathed hard, his hoodie" | | 16 | "He looked sixteen in that" | | 17 | "Her grip tightened." | | 18 | "His voice cracked" | | 19 | "She took a step forward." |
| | ratio | 0.241 | |
| 91.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 141 | | matches | | 0 | "He vaulted the railing and" | | 1 | "Quinn didn't break stride." | | 2 | "Her boots hit the wet" | | 3 | "The impact rattled up through" | | 4 | "The leather of her watch" | | 5 | "She'd clocked him outside The" | | 6 | "He'd stood under that distinctive" | | 7 | "He'd held something in his" | | 8 | "That was enough." | | 9 | "The alley spat them out" | | 10 | "Buses hissed past and threw" | | 11 | "The smell of fried onions" | | 12 | "The boy cut left, toward" | | 13 | "Quinn pumped her arms and" | | 14 | "Her breath burned." | | 15 | "Pedestrians peeled away." | | 16 | "The boy glanced back and" | | 17 | "Eyes blown wide." | | 18 | "Fear of what happened if" | | 19 | "He cut down a service" |
| | ratio | 0.738 | |
| 35.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 141 | | matches | | | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 2 | | matches | | 0 | "Just a half-step, his foot catching on a raised paving stone, but Quinn ate up the distance." | | 1 | "A vaulted tunnel of soot-black brick that stretched away farther than Camden had any right to contain." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.136 | | leniency | 0.273 | | rawRatio | 0 | | effectiveRatio | 0 | |