| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn said again [again]" | | 1 | "Eva said quietly [quietly]" |
| | dialogueSentences | 66 | | tagDensity | 0.258 | | leniency | 0.515 | | rawRatio | 0.118 | | effectiveRatio | 0.061 | |
| 94.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1763 | | totalAiIsmAdverbs | 2 | | 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) | |
| 77.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1763 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "magnetic" | | 1 | "etched" | | 2 | "processed" | | 3 | "traced" | | 4 | "tracing" | | 5 | "blown wide" | | 6 | "flickered" | | 7 | "racing" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 126 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 126 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 174 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1763 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1176 | | uniqueNames | 6 | | maxNameDensity | 1.53 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Mortimer | 9 | | Quinn | 18 | | Northern | 1 | | Line | 1 | | Ashworth | 8 | | Eva | 7 |
| | persons | | 0 | "Mortimer" | | 1 | "Quinn" | | 2 | "Ashworth" | | 3 | "Eva" |
| | places | (empty) | | globalScore | 0.735 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | 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 | 1763 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 174 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 22.9 | | std | 19.53 | | cv | 0.853 | | sampleLengths | | 0 | 8 | | 1 | 33 | | 2 | 29 | | 3 | 53 | | 4 | 30 | | 5 | 2 | | 6 | 2 | | 7 | 93 | | 8 | 1 | | 9 | 54 | | 10 | 50 | | 11 | 1 | | 12 | 24 | | 13 | 53 | | 14 | 2 | | 15 | 3 | | 16 | 5 | | 17 | 18 | | 18 | 9 | | 19 | 15 | | 20 | 39 | | 21 | 3 | | 22 | 21 | | 23 | 1 | | 24 | 19 | | 25 | 54 | | 26 | 12 | | 27 | 40 | | 28 | 5 | | 29 | 4 | | 30 | 5 | | 31 | 55 | | 32 | 45 | | 33 | 16 | | 34 | 52 | | 35 | 3 | | 36 | 20 | | 37 | 2 | | 38 | 33 | | 39 | 20 | | 40 | 30 | | 41 | 38 | | 42 | 2 | | 43 | 44 | | 44 | 7 | | 45 | 21 | | 46 | 2 | | 47 | 26 | | 48 | 41 | | 49 | 21 |
| |
| 91.34% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 126 | | matches | | 0 | "was frozen" | | 1 | "been crushed" | | 2 | "was outlined" | | 3 | "were untied" | | 4 | "been given" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 196 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 174 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1187 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same silver-grey residue" |
| | adverbCount | 27 | | adverbRatio | 0.02274641954507161 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004212299915754001 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 174 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 174 | | mean | 10.13 | | std | 8.28 | | cv | 0.817 | | sampleLengths | | 0 | 8 | | 1 | 2 | | 2 | 2 | | 3 | 6 | | 4 | 23 | | 5 | 14 | | 6 | 15 | | 7 | 6 | | 8 | 22 | | 9 | 14 | | 10 | 11 | | 11 | 9 | | 12 | 21 | | 13 | 2 | | 14 | 2 | | 15 | 11 | | 16 | 6 | | 17 | 1 | | 18 | 2 | | 19 | 20 | | 20 | 23 | | 21 | 7 | | 22 | 23 | | 23 | 1 | | 24 | 7 | | 25 | 47 | | 26 | 10 | | 27 | 13 | | 28 | 20 | | 29 | 3 | | 30 | 4 | | 31 | 1 | | 32 | 24 | | 33 | 8 | | 34 | 16 | | 35 | 20 | | 36 | 4 | | 37 | 5 | | 38 | 2 | | 39 | 3 | | 40 | 5 | | 41 | 4 | | 42 | 14 | | 43 | 9 | | 44 | 8 | | 45 | 7 | | 46 | 5 | | 47 | 7 | | 48 | 17 | | 49 | 2 |
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| 56.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3850574712643678 | | totalSentences | 174 | | uniqueOpeners | 67 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 109 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 109 | | matches | | 0 | "Her worn leather watch caught" | | 1 | "She stopped three feet from" | | 2 | "His face was frozen in" | | 3 | "They were wide and searching" | | 4 | "She could see the bruising" | | 5 | "His lips were split." | | 6 | "His tongue swollen and dark." | | 7 | "She approached the body slowly," | | 8 | "It was a seam." | | 9 | "She pulled out her phone" | | 10 | "His fingers resisted, rigor mortis" | | 11 | "It pointed toward the far" | | 12 | "She wore a cardigan that" | | 13 | "Her trainer laces were untied." | | 14 | "She nodded toward the circle" | | 15 | "She crouched, her freckled face" | | 16 | "She traced the air above" | | 17 | "She stood, tucking a curl" | | 18 | "She followed his gaze." | | 19 | "They'd been staring upward, frozen" |
| | ratio | 0.266 | |
| 33.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 109 | | matches | | 0 | "The body hung six inches" | | 1 | "The man just hung there" | | 2 | "Quinn ducked under the police" | | 3 | "Her worn leather watch caught" | | 4 | "The underground air tasted of" | | 5 | "Something that prickled at the" | | 6 | "She stopped three feet from" | | 7 | "The man wore a grey" | | 8 | "The kind of shoes that" | | 9 | "His face was frozen in" | | 10 | "They were wide and searching" | | 11 | "Mortimer flipped open his notebook" | | 12 | "Quinn looked at the object" | | 13 | "A small brass compass with" | | 14 | "The casing had the green" | | 15 | "Quinn crouched, bringing herself eye-level" | | 16 | "She could see the bruising" | | 17 | "His lips were split." | | 18 | "His tongue swollen and dark." | | 19 | "Mortimer leaned in, squinting." |
| | ratio | 0.853 | |
| 45.87% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 109 | | matches | | 0 | "Now they pointed toward the" |
| | ratio | 0.009 | |
| 31.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 7 | | matches | | 0 | "Something that prickled at the back of her throat like static." | | 1 | "The kind of shoes that announced their owner had never stood on a crowded Northern Line carriage at rush hour." | | 2 | "His face was frozen in an expression Quinn had seen before, that particular rictus of surprise that came from death arriving without warning." | | 3 | "They were wide and searching and hungry, the look of a man who'd found what he was looking for and wished he hadn't." | | 4 | "The casing had the green patina of great age, and the needle, which should have pointed north, pointed straight down." | | 5 | "A door that was outlined in the same silver-grey residue that coated the dead man's fingers." | | 6 | "The metal buckled inward, then outward, then split down the middle with a shriek that drove the forensics tech to his knees, hands over his ears." |
| |
| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva turned, her thumb tracing the sigils on the back" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 66 | | tagDensity | 0.045 | | leniency | 0.091 | | rawRatio | 0 | | effectiveRatio | 0 | |