| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "the voice said again [again]" |
| | dialogueSentences | 30 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.1 | | effectiveRatio | 0.067 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1278 | | 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) | |
| 76.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1278 | | totalAiIsms | 6 | | found | | 0 | | word | "down her spine" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "down her spine" | | 1 | "weight" | | 2 | "flickered" | | 3 | "silence" | | 4 | "glinting" | | 5 | "familiar" |
| |
| 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 | 96 | | matches | (empty) | |
| 98.21% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1278 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1029 | | uniqueNames | 13 | | maxNameDensity | 0.78 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 8 | | Soho | 1 | | Herrera | 7 | | Camden | 1 | | High | 1 | | Street | 1 | | Protocol | 2 | | Morris | 4 | | Way | 1 | | East | 1 | | End | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Protocol" | | 3 | "Morris" | | 4 | "Way" | | 5 | "Saint" | | 6 | "Christopher" |
| | places | | 0 | "Soho" | | 1 | "Camden" | | 2 | "High" | | 3 | "Street" | | 4 | "East" | | 5 | "End" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | 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 | 1278 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 26.08 | | std | 24.97 | | cv | 0.957 | | sampleLengths | | 0 | 23 | | 1 | 6 | | 2 | 37 | | 3 | 53 | | 4 | 83 | | 5 | 4 | | 6 | 12 | | 7 | 12 | | 8 | 52 | | 9 | 46 | | 10 | 26 | | 11 | 4 | | 12 | 23 | | 13 | 11 | | 14 | 15 | | 15 | 6 | | 16 | 2 | | 17 | 3 | | 18 | 32 | | 19 | 11 | | 20 | 52 | | 21 | 59 | | 22 | 6 | | 23 | 3 | | 24 | 11 | | 25 | 87 | | 26 | 84 | | 27 | 14 | | 28 | 3 | | 29 | 15 | | 30 | 65 | | 31 | 17 | | 32 | 4 | | 33 | 67 | | 34 | 29 | | 35 | 5 | | 36 | 3 | | 37 | 7 | | 38 | 42 | | 39 | 9 | | 40 | 44 | | 41 | 7 | | 42 | 72 | | 43 | 54 | | 44 | 3 | | 45 | 1 | | 46 | 18 | | 47 | 25 | | 48 | 11 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 167 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 116 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1029 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.023323615160349854 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.001943634596695821 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 11.02 | | std | 8.96 | | cv | 0.814 | | sampleLengths | | 0 | 23 | | 1 | 6 | | 2 | 3 | | 3 | 14 | | 4 | 7 | | 5 | 7 | | 6 | 6 | | 7 | 21 | | 8 | 19 | | 9 | 7 | | 10 | 6 | | 11 | 12 | | 12 | 43 | | 13 | 9 | | 14 | 19 | | 15 | 4 | | 16 | 12 | | 17 | 8 | | 18 | 4 | | 19 | 11 | | 20 | 5 | | 21 | 19 | | 22 | 4 | | 23 | 13 | | 24 | 13 | | 25 | 1 | | 26 | 4 | | 27 | 28 | | 28 | 8 | | 29 | 18 | | 30 | 4 | | 31 | 15 | | 32 | 3 | | 33 | 5 | | 34 | 11 | | 35 | 4 | | 36 | 11 | | 37 | 6 | | 38 | 2 | | 39 | 3 | | 40 | 21 | | 41 | 11 | | 42 | 11 | | 43 | 26 | | 44 | 26 | | 45 | 5 | | 46 | 3 | | 47 | 1 | | 48 | 2 | | 49 | 10 |
| |
| 83.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5344827586206896 | | totalSentences | 116 | | uniqueOpeners | 62 | |
| 79.37% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 84 | | matches | | 0 | "Then, past the far arch," | | 1 | "Then a dozen at once," |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 84 | | matches | | 0 | "He glanced back." | | 1 | "She had shown him her" | | 2 | "He had shown her his" | | 3 | "His sleeve rode up as" | | 4 | "She went after him through" | | 5 | "She ignored the paperwork." | | 6 | "He turned into an alley" | | 7 | "He had a face like" | | 8 | "He looked her over the" | | 9 | "He held the door open" | | 10 | "Her phone showed no signal." | | 11 | "She put it away before" | | 12 | "She stayed up top, shouldering" | | 13 | "She caught the chain and" | | 14 | "He didn't struggle" | | 15 | "Her hand went to the" |
| | ratio | 0.19 | |
| 49.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 84 | | matches | | 0 | "Herrera's left trainer skidded on" | | 1 | "He glanced back." | | 2 | "Olive skin, dark curls plastered" | | 3 | "That troubled her more than" | | 4 | "Tomás Herrera, person of interest," | | 5 | "She had shown him her" | | 6 | "He had shown her his" | | 7 | "Rain worked under her collar" | | 8 | "The coolbox swung from his" | | 9 | "His sleeve rode up as" | | 10 | "A scar ran pale along" | | 11 | "Quinn thumbed her radio." | | 12 | "Static answered, then a voice" | | 13 | "Herrera cut across the road" | | 14 | "The horn swallowed her reply." | | 15 | "She went after him through" | | 16 | "She ignored the paperwork." | | 17 | "He turned into an alley" | | 18 | "Steam off a vent." | | 19 | "Herrera dug into his pocket" |
| | ratio | 0.821 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 55.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 5 | | matches | | 0 | "The coolbox swung from his fist like a wrecking ball, and still he pulled away up Camden High Street, past shuttered stalls and a kebab shop where two men watch…" | | 1 | "Beyond the dead turnstiles, the platforms ran long and lit wrong, strung with cables that held hundreds of glass jars, each jar cupping its own pale blue flame." | | 2 | "A butcher in a stained apron sold bottles of lightning that flickered as Quinn passed, and under his table something with too many legs shifted in its crate." | | 3 | "She stayed up top, shouldering through a curtain of charms that chimed against her hair, past a stall where a man was sewing shut the lips of something that obj…" | | 4 | "That calm again, paramedic calm, the calm of a man who had held worse things than a detective's forearm." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "Somebody muttered (mutter)" |
| | dialogueSentences | 30 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.2 | | effectiveRatio | 0.067 | |