| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 2 | | adverbTags | | 0 | "She turned back [back]" | | 1 | "she asked suddenly [suddenly]" |
| | dialogueSentences | 46 | | tagDensity | 0.174 | | leniency | 0.348 | | rawRatio | 0.25 | | effectiveRatio | 0.087 | |
| 89.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1395 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "lazily" | | 1 | "suddenly" | | 2 | "sharply" |
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| 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) | |
| 24.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1395 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "gloom" | | 1 | "flicker" | | 2 | "furrowed" | | 3 | "traced" | | 4 | "etching" | | 5 | "etched" | | 6 | "standard" | | 7 | "glint" | | 8 | "stomach" | | 9 | "flickered" | | 10 | "pulsed" | | 11 | "pulse" | | 12 | "quickened" | | 13 | "wavered" | | 14 | "echoed" | | 15 | "silence" | | 16 | "whisper" | | 17 | "racing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 153 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 153 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 191 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1386 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 55.57% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1059 | | uniqueNames | 7 | | maxNameDensity | 1.89 | | worstName | "Whitaker" | | maxWindowNameDensity | 3 | | worstWindowName | "Whitaker" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Harlow | 1 | | Quinn | 11 | | Tom | 1 | | Whitaker | 20 | | Morris | 1 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Tom" | | 4 | "Whitaker" | | 5 | "Morris" |
| | places | (empty) | | globalScore | 0.556 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 55.70% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.443 | | wordCount | 1386 | | matches | | 0 | "not north, not south, but straight at the corpse" | | 1 | "not south, but straight at the corpse" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 191 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 20.69 | | std | 14.2 | | cv | 0.686 | | sampleLengths | | 0 | 59 | | 1 | 35 | | 2 | 9 | | 3 | 13 | | 4 | 18 | | 5 | 61 | | 6 | 33 | | 7 | 3 | | 8 | 14 | | 9 | 25 | | 10 | 4 | | 11 | 8 | | 12 | 10 | | 13 | 12 | | 14 | 50 | | 15 | 6 | | 16 | 28 | | 17 | 4 | | 18 | 23 | | 19 | 7 | | 20 | 43 | | 21 | 49 | | 22 | 8 | | 23 | 29 | | 24 | 45 | | 25 | 29 | | 26 | 6 | | 27 | 8 | | 28 | 7 | | 29 | 16 | | 30 | 37 | | 31 | 10 | | 32 | 12 | | 33 | 21 | | 34 | 30 | | 35 | 17 | | 36 | 38 | | 37 | 8 | | 38 | 18 | | 39 | 6 | | 40 | 23 | | 41 | 28 | | 42 | 7 | | 43 | 3 | | 44 | 24 | | 45 | 27 | | 46 | 54 | | 47 | 10 | | 48 | 7 | | 49 | 4 |
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| 93.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 153 | | matches | | 0 | "was carved" | | 1 | "was smudged" | | 2 | "was contained" | | 3 | "been drained" | | 4 | "was fixed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 175 | | matches | | |
| 8.23% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 191 | | ratio | 0.047 | | matches | | 0 | "The body lay sprawled near the edge, one arm outstretched as if he’d been reaching for something—or someone." | | 1 | "The victim’s clothes were odd—too fine for a dosser." | | 2 | "But something else caught her eye—a symbol, barely visible beneath layers of grime." | | 3 | "The victim’s fingers were clean—no dirt under the nails, no callouses." | | 4 | "Her torch caught something else—a glint of white near the body’s outstretched hand." | | 5 | "Then she saw it—the faintest imprint in the dust near the body’s feet." | | 6 | "Something glinted in the dark—a scrap of fabric, maybe." | | 7 | "The same symbol again—the circle, the jagged line." | | 8 | "For a second, she thought she saw movement—a shift in the dark, a pair of eyes reflecting the light." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1070 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.038317757009345796 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005607476635514018 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 191 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 191 | | mean | 7.26 | | std | 5.04 | | cv | 0.694 | | sampleLengths | | 0 | 11 | | 1 | 15 | | 2 | 20 | | 3 | 13 | | 4 | 5 | | 5 | 20 | | 6 | 10 | | 7 | 9 | | 8 | 6 | | 9 | 7 | | 10 | 6 | | 11 | 12 | | 12 | 16 | | 13 | 12 | | 14 | 18 | | 15 | 15 | | 16 | 8 | | 17 | 9 | | 18 | 5 | | 19 | 5 | | 20 | 6 | | 21 | 3 | | 22 | 2 | | 23 | 12 | | 24 | 3 | | 25 | 9 | | 26 | 5 | | 27 | 8 | | 28 | 4 | | 29 | 4 | | 30 | 4 | | 31 | 5 | | 32 | 5 | | 33 | 2 | | 34 | 10 | | 35 | 8 | | 36 | 12 | | 37 | 13 | | 38 | 7 | | 39 | 10 | | 40 | 4 | | 41 | 2 | | 42 | 9 | | 43 | 7 | | 44 | 6 | | 45 | 6 | | 46 | 4 | | 47 | 12 | | 48 | 11 | | 49 | 4 |
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| 43.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2931937172774869 | | totalSentences | 191 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 129 | | matches | | 0 | "Just the single, precise cut" | | 1 | "Just the blood from the" | | 2 | "Then she saw it." | | 3 | "Then she saw it—the faintest" | | 4 | "Too large, too…" | | 5 | "Then the radio crackled again." |
| | ratio | 0.047 | |
| 80.47% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 129 | | matches | | 0 | "He turned as she approached," | | 1 | "She didn’t rise to the" | | 2 | "She stepped past him, the" | | 3 | "She crouched, careful not to" | | 4 | "She reached for the man’s" | | 5 | "She glanced up at him." | | 6 | "She stepped closer, brushing away" | | 7 | "She traced the lines with" | | 8 | "She turned back to the" | | 9 | "She ignored him, crouching again." | | 10 | "She pried open his coat," | | 11 | "She tugged it free." | | 12 | "It spun lazily, as if" | | 13 | "She stood, tucking the compass" | | 14 | "Her torch caught something else—a" | | 15 | "She knelt again, picking up" | | 16 | "It was carved with the" | | 17 | "She shook her head." | | 18 | "She thought of Morris, of" | | 19 | "She turned the token over" |
| | ratio | 0.349 | |
| 45.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 129 | | matches | | 0 | "The abandoned Tube station beneath" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The beam of her torch" | | 3 | "The air hung thick, as" | | 4 | "DS Tom Whitaker stood by" | | 5 | "He turned as she approached," | | 6 | "She didn’t rise to the" | | 7 | "Whitaker gestured to the platform" | | 8 | "Quinn adjusted the strap of" | | 9 | "She stepped past him, the" | | 10 | "The body lay sprawled near" | | 11 | "The blood had pooled black" | | 12 | "She crouched, careful not to" | | 13 | "The victim’s clothes were odd—too" | | 14 | "A tailored overcoat, polished shoes." | | 15 | "Quinn’s brow furrowed." | | 16 | "She reached for the man’s" | | 17 | "She glanced up at him." | | 18 | "Quinn stood, her torch flicking" | | 19 | "The station was older than" |
| | ratio | 0.829 | |
| 38.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 129 | | matches | | 0 | "As if the wound hadn’t" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 1 | | matches | | 0 | "The body lay sprawled near the edge, one arm outstretched as if he’d been reaching for something—or someone." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 46 | | tagDensity | 0.087 | | leniency | 0.174 | | rawRatio | 0.25 | | effectiveRatio | 0.043 | |