| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Herrera said quietly [quietly]" |
| | dialogueSentences | 26 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.1 | | effectiveRatio | 0.077 | |
| 95.94% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1233 | | 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) | |
| 91.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1233 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1241 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1047 | | uniqueNames | 20 | | maxNameDensity | 0.86 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Old | 1 | | Compton | 1 | | Street | 3 | | Harlow | 1 | | Quinn | 9 | | Raven | 1 | | Nest | 1 | | Herrera | 8 | | Wardour | 1 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Static | 1 | | Mornington | 1 | | Crescent | 1 | | Camden | 1 | | High | 1 | | Saint | 1 | | Christopher | 1 | | Rain | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Herrera" | | 5 | "Static" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Rain" |
| | places | | 0 | "Old" | | 1 | "Compton" | | 2 | "Street" | | 3 | "Wardour" | | 4 | "Charing" | | 5 | "Cross" | | 6 | "Road" | | 7 | "Mornington" | | 8 | "Crescent" | | 9 | "Camden" | | 10 | "High" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1241 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 94 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 26.98 | | std | 26.11 | | cv | 0.968 | | sampleLengths | | 0 | 57 | | 1 | 10 | | 2 | 33 | | 3 | 5 | | 4 | 8 | | 5 | 2 | | 6 | 48 | | 7 | 8 | | 8 | 10 | | 9 | 6 | | 10 | 3 | | 11 | 66 | | 12 | 43 | | 13 | 8 | | 14 | 21 | | 15 | 70 | | 16 | 6 | | 17 | 28 | | 18 | 10 | | 19 | 42 | | 20 | 116 | | 21 | 50 | | 22 | 8 | | 23 | 55 | | 24 | 8 | | 25 | 59 | | 26 | 61 | | 27 | 17 | | 28 | 11 | | 29 | 10 | | 30 | 3 | | 31 | 9 | | 32 | 13 | | 33 | 3 | | 34 | 4 | | 35 | 45 | | 36 | 61 | | 37 | 6 | | 38 | 71 | | 39 | 8 | | 40 | 16 | | 41 | 50 | | 42 | 50 | | 43 | 5 | | 44 | 15 | | 45 | 3 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 173 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 94 | | ratio | 0.074 | | matches | | 0 | "Grease and onions and something sharper underneath — a chemical tang she couldn't place, the same tang she'd logged twice before at scenes she wasn't supposed to remember." | | 1 | "He stumbled, righted himself, and the satchel swung around to his side — and for one stride the flap hung open and she saw the contents gleam: glass vials in foam slots, a steel case, things that had no business in any pharmacy she'd ever signed off." | | 2 | "He cut right, down a service road beside a brick face she'd never noticed — dead windows, a faded roundel half-scraped from the wall, the ghost of a station name beneath layers of grime." | | 3 | "Herrera slapped a second token on the counter — carved bone, finger-length, worn smooth." | | 4 | "Beyond it, stairs descended toward a glow the colour of embers, and a sound came up from below — voices, dozens of them, a market's murmur rising out of the earth." | | 5 | "It arced through her torch beam — bone, white, still warm from his hand." | | 6 | "Everything she'd built her career on — procedure, chain of command, the clean bright line between the living city and whatever this was — stopped at that gate." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1046 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.022944550669216062 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0038240917782026767 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 13.2 | | std | 9.81 | | cv | 0.743 | | sampleLengths | | 0 | 22 | | 1 | 35 | | 2 | 6 | | 3 | 4 | | 4 | 15 | | 5 | 18 | | 6 | 5 | | 7 | 8 | | 8 | 2 | | 9 | 20 | | 10 | 28 | | 11 | 8 | | 12 | 10 | | 13 | 6 | | 14 | 3 | | 15 | 21 | | 16 | 12 | | 17 | 5 | | 18 | 28 | | 19 | 28 | | 20 | 15 | | 21 | 8 | | 22 | 2 | | 23 | 6 | | 24 | 13 | | 25 | 10 | | 26 | 13 | | 27 | 47 | | 28 | 6 | | 29 | 15 | | 30 | 13 | | 31 | 10 | | 32 | 7 | | 33 | 1 | | 34 | 2 | | 35 | 12 | | 36 | 20 | | 37 | 36 | | 38 | 21 | | 39 | 22 | | 40 | 3 | | 41 | 34 | | 42 | 34 | | 43 | 4 | | 44 | 12 | | 45 | 8 | | 46 | 9 | | 47 | 18 | | 48 | 8 | | 49 | 20 |
| |
| 71.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.44680851063829785 | | totalSentences | 94 | | uniqueOpeners | 42 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 67.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 68 | | matches | | 0 | "He scanned the street left," | | 1 | "His boots threw water as" | | 2 | "he threw over his shoulder" | | 3 | "He jinked into a service" | | 4 | "She hurdled it, shoulder checking" | | 5 | "she barked into her radio" | | 6 | "She hammered the transmit button" | | 7 | "He stumbled, righted himself, and" | | 8 | "His voice cracked with laughter" | | 9 | "Her boot hit a pothole" | | 10 | "He was two hundred yards" | | 11 | "He crossed the canal at" | | 12 | "It never had." | | 13 | "She gained on the straight" | | 14 | "He cut right, down a" | | 15 | "Her radio crackled once and" | | 16 | "She slowed at the mouth" | | 17 | "He stopped on the threshold" | | 18 | "He looked at her the" | | 19 | "He tipped his chin at" |
| | ratio | 0.382 | |
| 26.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 68 | | matches | | 0 | "Rain came down in ropes," | | 1 | "Detective Harlow Quinn stood beneath" | | 2 | "Tonight it finally opened." | | 3 | "Tomás Herrera stepped out at" | | 4 | "He scanned the street left," | | 5 | "Quinn stepped off the kerb." | | 6 | "His boots threw water as" | | 7 | "Quinn gave chase, her breath" | | 8 | "he threw over his shoulder" | | 9 | "He jinked into a service" | | 10 | "She hurdled it, shoulder checking" | | 11 | "Kitchen steam rolled over her." | | 12 | "Grease and onions and something" | | 13 | "Herrera burst out onto Charing" | | 14 | "Quinn took the same gap" | | 15 | "she barked into her radio" | | 16 | "She hammered the transmit button" | | 17 | "Nothing but that dead-air hiss," | | 18 | "Rain sheeted off a fire" | | 19 | "He stumbled, righted himself, and" |
| | ratio | 0.868 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 2 | | matches | | 0 | "He was two hundred yards ahead now, a dark shape flowing through the traffic lights of Mornington Crescent, and the city was opening up around him the way it di…" | | 1 | "Three years of a sealed file, a superintendent's shut door, a riverbank with no body of water nearby and no explanation that survived a second reading." |
| |
| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "His voice cracked, hard to tell" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 26 | | tagDensity | 0.192 | | leniency | 0.385 | | rawRatio | 0.2 | | effectiveRatio | 0.077 | |