| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1120 | | 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) | |
| 37.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1120 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "chill" | | 1 | "absolutely" | | 2 | "looming" | | 3 | "silence" | | 4 | "searing" | | 5 | "scanning" | | 6 | "stomach" | | 7 | "gloom" | | 8 | "echoed" | | 9 | "could feel" | | 10 | "whisper" |
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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 | 117 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 117 | | filterMatches | (empty) | | hedgeMatches | | |
| 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 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1113 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1025 | | uniqueNames | 7 | | maxNameDensity | 0.68 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Rory | 7 | | Heartstone | 4 | | Grove | 3 | | London | 1 | | Silence | 1 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Silence" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 59.64% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 3 | | matches | | 0 | "quite look like oak or ash" | | 1 | "sounded like dry skin rubbing together" | | 2 | "smelled like copper and old pennies" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.898 | | wordCount | 1113 | | matches | | 0 | "not the chill of a wind, but a static dampness" |
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| 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 | 45 | | mean | 24.73 | | std | 15.57 | | cv | 0.63 | | sampleLengths | | 0 | 54 | | 1 | 12 | | 2 | 60 | | 3 | 58 | | 4 | 35 | | 5 | 3 | | 6 | 22 | | 7 | 13 | | 8 | 38 | | 9 | 6 | | 10 | 15 | | 11 | 49 | | 12 | 28 | | 13 | 10 | | 14 | 26 | | 15 | 24 | | 16 | 5 | | 17 | 37 | | 18 | 13 | | 19 | 18 | | 20 | 30 | | 21 | 3 | | 22 | 15 | | 23 | 41 | | 24 | 12 | | 25 | 6 | | 26 | 17 | | 27 | 18 | | 28 | 20 | | 29 | 20 | | 30 | 47 | | 31 | 33 | | 32 | 26 | | 33 | 3 | | 34 | 31 | | 35 | 43 | | 36 | 18 | | 37 | 30 | | 38 | 49 | | 39 | 8 | | 40 | 18 | | 41 | 38 | | 42 | 34 | | 43 | 24 | | 44 | 3 |
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| 90.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 117 | | matches | | 0 | "was supposed" | | 1 | "was carpeted" | | 2 | "was gone" | | 3 | "was gone" | | 4 | "were elongated" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 189 | | matches | | 0 | "was shedding" | | 1 | "weren't moving" | | 2 | "were listening" | | 3 | "wasn't looking" | | 4 | "was beating" | | 5 | "was throbbing" |
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| 55.62% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 131 | | ratio | 0.031 | | matches | | 0 | "Snowdrops, bluebells, poppies—a riot of colour that had no business blooming in the same season, let alone at midnight." | | 1 | "The grass here wasn't green; it was a dark, bruised purple." | | 2 | "She pulled a small folding knife from her pocket—the only weapon she carried for late city deliveries—and flipped the blade open." | | 3 | "The realization didn't come as a fright; it settled in her gut like a heavy stone." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1033 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 33 | | adverbRatio | 0.031945788964181994 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.010648596321393998 | |
| 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 | 8.5 | | std | 5.25 | | cv | 0.618 | | sampleLengths | | 0 | 10 | | 1 | 13 | | 2 | 12 | | 3 | 19 | | 4 | 10 | | 5 | 2 | | 6 | 17 | | 7 | 19 | | 8 | 21 | | 9 | 3 | | 10 | 7 | | 11 | 7 | | 12 | 18 | | 13 | 7 | | 14 | 19 | | 15 | 9 | | 16 | 19 | | 17 | 7 | | 18 | 3 | | 19 | 10 | | 20 | 12 | | 21 | 7 | | 22 | 6 | | 23 | 8 | | 24 | 7 | | 25 | 7 | | 26 | 4 | | 27 | 7 | | 28 | 5 | | 29 | 3 | | 30 | 3 | | 31 | 7 | | 32 | 8 | | 33 | 6 | | 34 | 11 | | 35 | 1 | | 36 | 7 | | 37 | 6 | | 38 | 1 | | 39 | 17 | | 40 | 15 | | 41 | 13 | | 42 | 6 | | 43 | 4 | | 44 | 5 | | 45 | 15 | | 46 | 6 | | 47 | 18 | | 48 | 6 | | 49 | 5 |
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| 52.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.35877862595419846 | | totalSentences | 131 | | uniqueOpeners | 47 | |
| 91.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 109 | | matches | | 0 | "Just shadows cast by old" | | 1 | "Just an oak tree, gnarled" | | 2 | "Only leaves falling, swirling around" |
| | ratio | 0.028 | |
| 43.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 109 | | matches | | 0 | "It dropped in temperature, not" | | 1 | "she muttered, zipping her jacket" | | 2 | "She gripped the silver chain" | | 3 | "she said, glancing down at" | | 4 | "she told the silence" | | 5 | "She took a step deeper" | | 6 | "It sounded like dry skin" | | 7 | "She stopped, looking down." | | 8 | "She hissed, clutching it, but" | | 9 | "She moved forward, scanning the" | | 10 | "she said, the sound of" | | 11 | "It was tall, pale, and" | | 12 | "she called out, her voice" | | 13 | "It was probably just a" | | 14 | "She stared at it, willing" | | 15 | "It had the texture of..." | | 16 | "She blinked, and it was" | | 17 | "she said, a tremor sneaking" | | 18 | "She reached into her pocket" | | 19 | "She pulled it out." |
| | ratio | 0.44 | |
| 19.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 109 | | matches | | 0 | "The darkness in Richmond Park" | | 1 | "It dropped in temperature, not" | | 2 | "she muttered, zipping her jacket" | | 3 | "She gripped the silver chain" | | 4 | "The stone had been humming" | | 5 | "The clearing opened up, swallowing" | | 6 | "Here, the rules of London" | | 7 | "The canopy above was too" | | 8 | "Snowdrops, bluebells, poppies—a riot of" | | 9 | "she said, glancing down at" | | 10 | "The crimson gem was shedding" | | 11 | "A twig snapped." | | 12 | "Rory spun around, her boots" | | 13 | "Nothing but the standing stones" | | 14 | "she told the silence" | | 15 | "She took a step deeper" | | 16 | "The flowers brushed against her" | | 17 | "It sounded like dry skin" | | 18 | "She stopped, looking down." | | 19 | "The petals weren't moving in" |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 109 | | matches | (empty) | | ratio | 0 | |
| 35.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 6 | | matches | | 0 | "It dropped in temperature, not the chill of a wind, but a static dampness that clung to her skin." | | 1 | "Why she had let whatever instinct that drove her convince her this was a good idea, she didn't know." | | 2 | "Snowdrops, bluebells, poppies—a riot of colour that had no business blooming in the same season, let alone at midnight." | | 3 | "The crimson gem was shedding a faint, bloody light, pulsing in a rhythm that felt uncomfortably like a heartbeat." | | 4 | "It snapped with a brittle crunch, oozing a thick, dark sap that smelled like copper and old pennies." | | 5 | "It was throbbing, the old injury waking up as if it had just happened." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, a tremor sneaking into the edge of the word" | | 1 | "she shouted, the knife trembling in her grip" | | 2 | "she said, her voice dropping to a harsh whisper" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 6 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she breathed (breathe)" | | 2 | "she called out (call out)" | | 3 | "she whispered (whisper)" | | 4 | "she demanded (demand)" | | 5 | "she shouted (shout)" |
| | dialogueSentences | 26 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.5 | | effectiveRatio | 0.462 | |