| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.314 | | leniency | 0.627 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 958 | | totalAiIsmAdverbs | 3 | | 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) | |
| 68.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 958 | | totalAiIsms | 6 | | found | | 0 | | | 1 | | word | "down my spine" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "weight" | | 1 | "down my spine" | | 2 | "glint" | | 3 | "etched" | | 4 | "footsteps" | | 5 | "whisper" |
| |
| 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 | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 54 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 948 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 39.78% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 499 | | uniqueNames | 5 | | maxNameDensity | 2.2 | | worstName | "Davies" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Davies" | | discoveredNames | | Tube | 1 | | Camden | 1 | | North | 1 | | Line | 1 | | Davies | 11 |
| | persons | | | places | (empty) | | globalScore | 0.398 | | windowScore | 0.5 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 1 | | matches | | 0 | "as if clutching something" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 948 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 23.7 | | std | 17.99 | | cv | 0.759 | | sampleLengths | | 0 | 80 | | 1 | 18 | | 2 | 17 | | 3 | 26 | | 4 | 34 | | 5 | 43 | | 6 | 50 | | 7 | 3 | | 8 | 16 | | 9 | 8 | | 10 | 15 | | 11 | 13 | | 12 | 14 | | 13 | 41 | | 14 | 37 | | 15 | 28 | | 16 | 44 | | 17 | 11 | | 18 | 13 | | 19 | 19 | | 20 | 6 | | 21 | 33 | | 22 | 31 | | 23 | 1 | | 24 | 3 | | 25 | 72 | | 26 | 5 | | 27 | 7 | | 28 | 44 | | 29 | 9 | | 30 | 21 | | 31 | 15 | | 32 | 45 | | 33 | 27 | | 34 | 19 | | 35 | 29 | | 36 | 4 | | 37 | 25 | | 38 | 9 | | 39 | 13 |
| |
| 98.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 54 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 91 | | matches | (empty) | |
| 15.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 90 | | ratio | 0.044 | | matches | | 0 | "A single bone token—carved with sigils I didn’t recognise—rested in the hollow of his throat." | | 1 | "The station—Camden’s abandoned North Line spur—was a relic, its walls covered in peeling posters and graffiti that looked more like desperate pleas than art." | | 2 | "I’d heard whispers—rumours from informants, the kind of stories cops traded over pints when the job got too heavy." | | 3 | "The object was small, no bigger than my palm—a brass compass, its face etched with the same sigils as the token." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 541 | | adjectiveStacks | 1 | | stackExamples | | 0 | "unseen, pressing against my" |
| | adverbCount | 13 | | adverbRatio | 0.024029574861367836 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0073937153419593345 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 10.53 | | std | 7.63 | | cv | 0.725 | | sampleLengths | | 0 | 20 | | 1 | 20 | | 2 | 25 | | 3 | 15 | | 4 | 12 | | 5 | 6 | | 6 | 4 | | 7 | 13 | | 8 | 16 | | 9 | 10 | | 10 | 5 | | 11 | 22 | | 12 | 7 | | 13 | 3 | | 14 | 21 | | 15 | 19 | | 16 | 7 | | 17 | 24 | | 18 | 19 | | 19 | 3 | | 20 | 2 | | 21 | 14 | | 22 | 8 | | 23 | 12 | | 24 | 3 | | 25 | 5 | | 26 | 8 | | 27 | 7 | | 28 | 7 | | 29 | 8 | | 30 | 19 | | 31 | 11 | | 32 | 3 | | 33 | 15 | | 34 | 22 | | 35 | 9 | | 36 | 5 | | 37 | 6 | | 38 | 8 | | 39 | 37 | | 40 | 7 | | 41 | 8 | | 42 | 3 | | 43 | 13 | | 44 | 12 | | 45 | 7 | | 46 | 2 | | 47 | 4 | | 48 | 16 | | 49 | 17 |
| |
| 60.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.37777777777777777 | | totalSentences | 90 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 46 | | matches | (empty) | | ratio | 0 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 46 | | matches | | 0 | "I crouched beside the body," | | 1 | "I didn’t look up." | | 2 | "He stepped closer, the beam" | | 3 | "I finally lifted my gaze." | | 4 | "He gestured to the body" | | 5 | "I stood, brushing dust from" | | 6 | "I shot him a look." | | 7 | "He lowered his voice" | | 8 | "I’d heard whispers—rumours from informants," | | 9 | "I took the phone, zooming" | | 10 | "He pocketed his phone" | | 11 | "I handed the phone back," | | 12 | "I turned back to the" | | 13 | "I pointed to the victim’s" | | 14 | "He reached for it, but" | | 15 | "I pulled a pair of" | | 16 | "I turned the compass over" | | 17 | "I stood, the compass heavy" | | 18 | "I shook my head." | | 19 | "I pocketed the compass, ignoring" |
| | ratio | 0.5 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 46 | | matches | | 0 | "The air smelled of damp" | | 1 | "I crouched beside the body," | | 2 | "The victim lay sprawled across" | | 3 | "A single bone token—carved with" | | 4 | "I didn’t look up." | | 5 | "He stepped closer, the beam" | | 6 | "I finally lifted my gaze." | | 7 | "The victim’s eyes were open," | | 8 | "Davies exhaled sharply." | | 9 | "He gestured to the body" | | 10 | "I stood, brushing dust from" | | 11 | "The station—Camden’s abandoned North Line" | | 12 | "The air was thick with" | | 13 | "Davies adjusted his glasses, his" | | 14 | "I shot him a look." | | 15 | "He lowered his voice" | | 16 | "The name sent a prickle" | | 17 | "I’d heard whispers—rumours from informants," | | 18 | "A black market for the" | | 19 | "Davies pulled out his phone," |
| | ratio | 0.978 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 46 | | matches | (empty) | | ratio | 0 | |
| 8.93% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 16 | | technicalSentenceCount | 3 | | matches | | 0 | "The air smelled of damp stone and something older, something that clung to the back of my throat like copper." | | 1 | "The victim lay sprawled across the tracks, limbs arranged in an unnatural symmetry, fingers curled as if still reaching for something just out of grasp." | | 2 | "The station—Camden’s abandoned North Line spur—was a relic, its walls covered in peeling posters and graffiti that looked more like desperate pleas than art." |
| |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "He stepped, the beam of his torch flickering over the victim’s face" | | 1 | "Davies adjusted, his usual smirk absent" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "I repeated (repeat)" | | 1 | "I murmured (murmur)" |
| | dialogueSentences | 51 | | tagDensity | 0.039 | | leniency | 0.078 | | rawRatio | 1 | | effectiveRatio | 0.078 | |