| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1141 | | 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) | |
| 47.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1141 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "scanning" | | 1 | "tracing" | | 2 | "weight" | | 3 | "resonance" | | 4 | "silence" | | 5 | "calculated" | | 6 | "measured" | | 7 | "footfall" | | 8 | "warmth" | | 9 | "flickered" | | 10 | "pulse" |
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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 | 90 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 90 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1137 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 1061 | | uniqueNames | 9 | | maxNameDensity | 0.66 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Park | 1 | | Heathrow | 1 | | Heartstone | 2 | | Pendant | 1 | | Speaking | 1 | | Hel | 1 | | Aurora | 7 | | London | 1 |
| | persons | | 0 | "Carter" | | 1 | "Heartstone" | | 2 | "Pendant" | | 3 | "Speaking" | | 4 | "Hel" | | 5 | "Aurora" |
| | places | | 0 | "Park" | | 1 | "Heathrow" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | 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 | 1137 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 27.73 | | std | 20.42 | | cv | 0.737 | | sampleLengths | | 0 | 12 | | 1 | 12 | | 2 | 19 | | 3 | 15 | | 4 | 35 | | 5 | 53 | | 6 | 61 | | 7 | 36 | | 8 | 21 | | 9 | 62 | | 10 | 3 | | 11 | 46 | | 12 | 30 | | 13 | 1 | | 14 | 33 | | 15 | 33 | | 16 | 9 | | 17 | 8 | | 18 | 65 | | 19 | 37 | | 20 | 5 | | 21 | 4 | | 22 | 65 | | 23 | 3 | | 24 | 48 | | 25 | 12 | | 26 | 27 | | 27 | 5 | | 28 | 78 | | 29 | 14 | | 30 | 21 | | 31 | 46 | | 32 | 31 | | 33 | 10 | | 34 | 26 | | 35 | 9 | | 36 | 56 | | 37 | 11 | | 38 | 13 | | 39 | 30 | | 40 | 32 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 160 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 3 | | flaggedSentences | 6 | | totalSentences | 97 | | ratio | 0.062 | | matches | | 0 | "The dull hum of the A3, the drone of night planes descending toward Heathrow, the wet hiss of black cabs on damp asphalt—all severed in a single stride over the boundary." | | 1 | "Old habits died hard; pain from twelve years ago still offered the quickest proof that she was awake." | | 2 | "The shadows between the stones did not taper toward the ground; they pooled at shoulder height, narrow and impossibly long." | | 3 | "It was faint at first—the dry, papery friction of two wasp nests grinding together inside a hollow wall." | | 4 | "The ancient oak stones—slabs of petrified wood older than the city thirty miles east—no longer stood vertical." | | 5 | "They lacked the cold white prick of winter constellations over London; they flickered like yellow grease burning in a dish." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1073 | | adjectiveStacks | 1 | | stackExamples | | 0 | "dull, blood-colored glow" |
| | adverbCount | 27 | | adverbRatio | 0.02516309412861137 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005591798695246971 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 11.72 | | std | 7.6 | | cv | 0.648 | | sampleLengths | | 0 | 12 | | 1 | 12 | | 2 | 19 | | 3 | 15 | | 4 | 11 | | 5 | 5 | | 6 | 19 | | 7 | 6 | | 8 | 31 | | 9 | 16 | | 10 | 7 | | 11 | 20 | | 12 | 16 | | 13 | 18 | | 14 | 7 | | 15 | 16 | | 16 | 13 | | 17 | 15 | | 18 | 6 | | 19 | 2 | | 20 | 21 | | 21 | 21 | | 22 | 18 | | 23 | 3 | | 24 | 24 | | 25 | 11 | | 26 | 11 | | 27 | 2 | | 28 | 8 | | 29 | 20 | | 30 | 1 | | 31 | 2 | | 32 | 5 | | 33 | 26 | | 34 | 11 | | 35 | 8 | | 36 | 14 | | 37 | 9 | | 38 | 8 | | 39 | 2 | | 40 | 4 | | 41 | 11 | | 42 | 28 | | 43 | 20 | | 44 | 23 | | 45 | 14 | | 46 | 5 | | 47 | 4 | | 48 | 18 | | 49 | 18 |
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| 60.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.422680412371134 | | totalSentences | 97 | | uniqueOpeners | 41 | |
| 42.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 79 | | matches | | | ratio | 0.013 | |
| 73.16% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 79 | | matches | | 0 | "Her voice dissolved against the" | | 1 | "She thumbed the screen off," | | 2 | "She touched the front of" | | 3 | "she muttered, scanning the black" | | 4 | "Her voice gave the clearing" | | 5 | "She pulled her sleeves down" | | 6 | "It was not the dry" | | 7 | "It carried a wet, tearing" | | 8 | "Her bright blue eyes widened," | | 9 | "She took one measured pace" | | 10 | "Her boot sank two inches" | | 11 | "She did not breathe." | | 12 | "She tilted her chin, watching" | | 13 | "she pitched her voice clear," | | 14 | "It was faint at first—the" | | 15 | "It drifted from above, then" | | 16 | "It carried a rhythm." | | 17 | "she whispered to the gemstone," | | 18 | "It recognized the rot of" | | 19 | "They leaned inward, their crowns" |
| | ratio | 0.367 | |
| 54.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 79 | | matches | | 0 | "The call decayed into static" | | 1 | "Aurora Carter tapped the screen" | | 2 | "Her voice dissolved against the" | | 3 | "Nothing returned from the speaker." | | 4 | "She thumbed the screen off," | | 5 | "Richmond Park had vanished behind" | | 6 | "The dull hum of the" | | 7 | "Underfoot, the season had lost" | | 8 | "October frost coated the road" | | 9 | "Dog-roses and pale blue cranesbill" | | 10 | "The smell rose sweet, thick," | | 11 | "She touched the front of" | | 12 | "The thumbnail-sized jewel sat flat" | | 13 | "she muttered, scanning the black" | | 14 | "Her voice gave the clearing" | | 15 | "She pulled her sleeves down" | | 16 | "A twig snapped." | | 17 | "The sound did not come" | | 18 | "It was not the dry" | | 19 | "It carried a wet, tearing" |
| | ratio | 0.81 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 82.07% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 4 | | matches | | 0 | "The moon gave off a tallow-colored light that pooled on the leaves, turning the upper boughs into slabs of pewter." | | 1 | "The absence of birds felt calculated, as if the local fauna had cleared the precinct hours ago to make room for an occupant with worse manners." | | 2 | "They leaned inward, their crowns nodding toward the center of the moss where Aurora stood, closing the aperture of the sky like the iris of a dying eye." | | 3 | "They crushed in sequence, pressed flat by an invisible weight that displaced no air, stirred no leaves, threw no shadow across the moss." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora whispered, her pulse hammering against her teeth" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "Aurora whispered (whisper)" |
| | dialogueSentences | 12 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |