| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.8 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1245 | | 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) | |
| 47.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1245 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "echo" | | 1 | "silence" | | 2 | "whisper" | | 3 | "racing" | | 4 | "throb" | | 5 | "trembled" | | 6 | "searing" | | 7 | "rhythmic" | | 8 | "weight" | | 9 | "gloom" | | 10 | "silk" | | 11 | "flickered" |
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| 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 | 130 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 130 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 5 | | totalWords | 1244 | | ratio | 0.004 | | matches | | 0 | "Snip-snap." | | 1 | "Pitter-patter." | | 2 | "Tick-tock." | | 3 | "Click. Click." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.90% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1224 | | uniqueNames | 15 | | maxNameDensity | 1.06 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Yu-Fei | 1 | | Rory | 13 | | London | 2 | | November | 1 | | Evan | 1 | | Cardiff | 1 | | Silence | 1 | | Heartstone | 2 | | Pendant | 2 | | Hel | 2 | | Fae | 3 | | Bare | 1 | | Two | 2 |
| | persons | | 0 | "Yu-Fei" | | 1 | "Rory" | | 2 | "Evan" | | 3 | "Silence" | | 4 | "Pendant" | | 5 | "Two" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Cardiff" |
| | globalScore | 0.969 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like garden shears closing on bone" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1244 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 131 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 30.34 | | std | 21.5 | | cv | 0.709 | | sampleLengths | | 0 | 37 | | 1 | 39 | | 2 | 50 | | 3 | 4 | | 4 | 13 | | 5 | 68 | | 6 | 17 | | 7 | 65 | | 8 | 30 | | 9 | 1 | | 10 | 24 | | 11 | 34 | | 12 | 5 | | 13 | 37 | | 14 | 13 | | 15 | 45 | | 16 | 13 | | 17 | 39 | | 18 | 21 | | 19 | 49 | | 20 | 5 | | 21 | 1 | | 22 | 14 | | 23 | 39 | | 24 | 21 | | 25 | 3 | | 26 | 46 | | 27 | 1 | | 28 | 37 | | 29 | 27 | | 30 | 52 | | 31 | 3 | | 32 | 69 | | 33 | 32 | | 34 | 2 | | 35 | 18 | | 36 | 77 | | 37 | 49 | | 38 | 70 | | 39 | 41 | | 40 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 192 | | matches | | 0 | "was clicking" | | 1 | "was dragging" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 131 | | ratio | 0.008 | | matches | | 0 | "Rory raised the heavy torch, ready to swing, and took a step back toward the standing stones—right as cold, wet fingers clamped from behind over her mouth and dragged her off her feet." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1236 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "starless, plum-coloured sky." |
| | adverbCount | 29 | | adverbRatio | 0.023462783171521034 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0056634304207119745 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 9.5 | | std | 8 | | cv | 0.843 | | sampleLengths | | 0 | 17 | | 1 | 20 | | 2 | 9 | | 3 | 30 | | 4 | 6 | | 5 | 21 | | 6 | 8 | | 7 | 3 | | 8 | 12 | | 9 | 4 | | 10 | 7 | | 11 | 6 | | 12 | 18 | | 13 | 4 | | 14 | 12 | | 15 | 4 | | 16 | 27 | | 17 | 2 | | 18 | 1 | | 19 | 6 | | 20 | 1 | | 21 | 10 | | 22 | 5 | | 23 | 1 | | 24 | 8 | | 25 | 12 | | 26 | 11 | | 27 | 23 | | 28 | 5 | | 29 | 23 | | 30 | 2 | | 31 | 2 | | 32 | 3 | | 33 | 1 | | 34 | 7 | | 35 | 17 | | 36 | 9 | | 37 | 3 | | 38 | 6 | | 39 | 16 | | 40 | 5 | | 41 | 2 | | 42 | 3 | | 43 | 22 | | 44 | 5 | | 45 | 5 | | 46 | 13 | | 47 | 10 | | 48 | 5 | | 49 | 30 |
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| 98.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6076923076923076 | | totalSentences | 130 | | uniqueOpeners | 79 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 104 | | matches | | 0 | "Somewhere close, the skin of" | | 1 | "Just tangled black wood twisting" | | 2 | "Then she smelled it." | | 3 | "Only crushed stems remained, oozing" | | 4 | "Nowhere to run." | | 5 | "Then another hand." | | 6 | "Then a third, grasping the" |
| | ratio | 0.067 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 104 | | matches | | 0 | "She stepped past the boundary" | | 1 | "she called out" | | 2 | "Her voice dropped flat against" | | 3 | "It was late November." | | 4 | "She checked her cheap digital" | | 5 | "She pulled her phone from" | | 6 | "Her father had taught her" | | 7 | "She unzipped the red nylon" | | 8 | "Her fingers brushed the small" | | 9 | "It sounded like garden shears" | | 10 | "They looked carved from wax." | | 11 | "She pivoted, backing away from" | | 12 | "She mapped the exit in" | | 13 | "She took one step backward." | | 14 | "She clicked the beam on." | | 15 | "Her torch beam trembled a" | | 16 | "She locked her wrist to" | | 17 | "Her breath plumed white." |
| | ratio | 0.173 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 104 | | matches | | 0 | "Rory ripped the greasy yellow" | | 1 | "Nobody ordered takeaway to a" | | 2 | "She stepped past the boundary" | | 3 | "The roar of distant city" | | 4 | "she called out" | | 5 | "Her voice dropped flat against" | | 6 | "Rory adjusted the heavy strap" | | 7 | "Wildflowers choked the turf." | | 8 | "Bluebells, foxgloves, and pale meadowsweet" | | 9 | "It was late November." | | 10 | "Frost had coated the handlebars" | | 11 | "She checked her cheap digital" | | 12 | "The little black colon between" | | 13 | "Rory tapped the plastic face." | | 14 | "She pulled her phone from" | | 15 | "Time had a nasty habit" | | 16 | "Her father had taught her" | | 17 | "She unzipped the red nylon" | | 18 | "Rory froze, crouched low over" | | 19 | "Her fingers brushed the small" |
| | ratio | 0.548 | |
| 96.15% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 104 | | matches | | 0 | "As if someone had slammed" | | 1 | "If it was a trap," |
| | ratio | 0.019 | |
| 82.07% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 4 | | matches | | 0 | "The thumbnail-sized crimson gem rested against her sternum on its thin silver chain, pulsing with a slow, feverish beat that didn't match her racing heart." | | 1 | "Someone was clicking their tongue against the roof of their mouth, mimicking a grandfather clock." | | 2 | "The white paper takeaway bag crinkled on its own, folding inward as if an invisible hand had resting weight upon the greaseproof paper." | | 3 | "The ground simply parted like rotten silk, yawning into a jagged, lightless fissure that exhaled a low, rattling wheeze." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.5 | | effectiveRatio | 0.4 | |