| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn said quietly [quietly]" | | 1 | "She turned back [back]" |
| | dialogueSentences | 29 | | tagDensity | 0.345 | | leniency | 0.69 | | rawRatio | 0.2 | | effectiveRatio | 0.138 | |
| 85.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1017 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "slowly" |
| |
| 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) | |
| 80.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1017 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "charm" | | 1 | "etched" | | 2 | "trembled" | | 3 | "firmly" |
| |
| 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 | 60 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 60 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1017 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 1 | | matches | | 0 | "For the first time that night, he said nothing at all." |
| |
| 89.68% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 746 | | uniqueNames | 7 | | maxNameDensity | 1.21 | | worstName | "Hale" | | maxWindowNameDensity | 2 | | worstWindowName | "Hale" | | discoveredNames | | Camden | 1 | | Quinn | 8 | | Sergeant | 1 | | Dennis | 1 | | Hale | 9 | | Morris | 1 | | Walthamstow | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Sergeant" | | 2 | "Dennis" | | 3 | "Hale" | | 4 | "Morris" |
| | places | | | globalScore | 0.897 | | windowScore | 1 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1017 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 30.82 | | std | 26.85 | | cv | 0.871 | | sampleLengths | | 0 | 55 | | 1 | 19 | | 2 | 50 | | 3 | 65 | | 4 | 59 | | 5 | 4 | | 6 | 22 | | 7 | 53 | | 8 | 3 | | 9 | 54 | | 10 | 4 | | 11 | 4 | | 12 | 5 | | 13 | 64 | | 14 | 4 | | 15 | 58 | | 16 | 7 | | 17 | 4 | | 18 | 65 | | 19 | 8 | | 20 | 75 | | 21 | 4 | | 22 | 12 | | 23 | 2 | | 24 | 73 | | 25 | 14 | | 26 | 5 | | 27 | 75 | | 28 | 27 | | 29 | 4 | | 30 | 60 | | 31 | 16 | | 32 | 43 |
| |
| 87.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 60 | | matches | | 0 | "been pressed" | | 1 | "were rimed" | | 2 | "been snapped" | | 3 | "been closed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 122 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 78 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 751 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.03195739014647137 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007989347536617843 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 13.04 | | std | 9.81 | | cv | 0.753 | | sampleLengths | | 0 | 15 | | 1 | 25 | | 2 | 2 | | 3 | 2 | | 4 | 11 | | 5 | 14 | | 6 | 5 | | 7 | 3 | | 8 | 24 | | 9 | 14 | | 10 | 9 | | 11 | 21 | | 12 | 15 | | 13 | 11 | | 14 | 8 | | 15 | 10 | | 16 | 12 | | 17 | 21 | | 18 | 26 | | 19 | 4 | | 20 | 8 | | 21 | 14 | | 22 | 5 | | 23 | 22 | | 24 | 26 | | 25 | 3 | | 26 | 29 | | 27 | 25 | | 28 | 4 | | 29 | 4 | | 30 | 5 | | 31 | 17 | | 32 | 18 | | 33 | 12 | | 34 | 17 | | 35 | 3 | | 36 | 1 | | 37 | 20 | | 38 | 11 | | 39 | 5 | | 40 | 7 | | 41 | 15 | | 42 | 7 | | 43 | 4 | | 44 | 16 | | 45 | 14 | | 46 | 35 | | 47 | 8 | | 48 | 5 | | 49 | 14 |
| |
| 88.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5641025641025641 | | totalSentences | 78 | | uniqueOpeners | 44 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 51 | | matches | | 0 | "She minded it." | | 1 | "His eyes were half lidded" | | 2 | "He was thirty-two, sandy-haired, and" | | 3 | "She looked at her own" | | 4 | "They were neat, the heel-and-toe" | | 5 | "Its face was crowded with" | | 6 | "It trembled, swung in a" | | 7 | "She had seen a compass" | | 8 | "She turned back to the" |
| | ratio | 0.176 | |
| 67.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 51 | | matches | | 0 | "The Camden platform had been" | | 1 | "Harlow Quinn stepped down from" | | 2 | "Something sweeter underneath, like lilies" | | 3 | "She minded it." | | 4 | "The tiles had buckled in" | | 5 | "Quinn noted it, then noted" | | 6 | "The body lay at the" | | 7 | "A man in his fifties," | | 8 | "His eyes were half lidded" | | 9 | "Hale said, coming up beside" | | 10 | "He was thirty-two, sandy-haired, and" | | 11 | "Quinn crouched beside the body." | | 12 | "The dead man's left wrist" | | 13 | "She looked at her own" | | 14 | "Hale flipped a page" | | 15 | "Hale hesitated, then took out" | | 16 | "The grime lay thick and" | | 17 | "A single line of footprints" | | 18 | "They were neat, the heel-and-toe" | | 19 | "Quinn stood and walked the" |
| | ratio | 0.784 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 4 | | matches | | 0 | "He was thirty-two, sandy-haired, and had the eager, slightly sweaty look of a man who wanted a case to be simple." | | 1 | "They were neat, the heel-and-toe pattern of a man who had stepped carefully over the cracked tiles." | | 2 | "Four concentric arcs with a short bar through the centre, cut deep and rounded at the edges, as if worn by time, or made by something with more patience than a …" | | 3 | "She had seen a compass do that once before, three years ago, on a case that had ended with DS Morris lying in a stairwell in Walthamstow, his eyes open, his fac…" |
| |
| 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 | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.207 | | leniency | 0.414 | | rawRatio | 0 | | effectiveRatio | 0 | |