| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1312 | | 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) | |
| 46.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1312 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "silence" | | 1 | "flickered" | | 2 | "throbbed" | | 3 | "pulsed" | | 4 | "pulse" | | 5 | "echo" | | 6 | "weight" | | 7 | "measured" | | 8 | "pristine" | | 9 | "searing" | | 10 | "synchronized" | | 11 | "traced" |
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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 | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1311 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 93.46% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1238 | | uniqueNames | 9 | | maxNameDensity | 1.13 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 3 | | Cardiff | 1 | | Silence | 1 | | Welsh | 2 | | Rory | 14 | | Evan | 1 | | Silas | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Silence" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "Silas" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" |
| | globalScore | 0.935 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 95 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.763 | | wordCount | 1311 | | matches | | 0 | "Not behind her this time, but directly overhead in the interlocking branches" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 23.41 | | std | 16.7 | | cv | 0.713 | | sampleLengths | | 0 | 30 | | 1 | 32 | | 2 | 23 | | 3 | 35 | | 4 | 51 | | 5 | 19 | | 6 | 43 | | 7 | 60 | | 8 | 17 | | 9 | 2 | | 10 | 20 | | 11 | 52 | | 12 | 15 | | 13 | 1 | | 14 | 2 | | 15 | 15 | | 16 | 21 | | 17 | 41 | | 18 | 2 | | 19 | 38 | | 20 | 15 | | 21 | 27 | | 22 | 5 | | 23 | 56 | | 24 | 6 | | 25 | 12 | | 26 | 22 | | 27 | 6 | | 28 | 58 | | 29 | 38 | | 30 | 7 | | 31 | 9 | | 32 | 28 | | 33 | 11 | | 34 | 26 | | 35 | 2 | | 36 | 35 | | 37 | 9 | | 38 | 36 | | 39 | 3 | | 40 | 57 | | 41 | 40 | | 42 | 7 | | 43 | 25 | | 44 | 27 | | 45 | 12 | | 46 | 15 | | 47 | 39 | | 48 | 29 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 184 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 124 | | ratio | 0.008 | | matches | | 0 | "A sound started in the canopy—a soft, collective rustle that wasn't wind." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1243 | | adjectiveStacks | 2 | | stackExamples | | 0 | "absolute quiet settled like" | | 1 | "under sudden, concentrated mass." |
| | adverbCount | 34 | | adverbRatio | 0.027353177795655673 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.008849557522123894 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 10.57 | | std | 6.25 | | cv | 0.591 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 9 | | 3 | 14 | | 4 | 9 | | 5 | 7 | | 6 | 2 | | 7 | 14 | | 8 | 21 | | 9 | 14 | | 10 | 16 | | 11 | 18 | | 12 | 17 | | 13 | 6 | | 14 | 13 | | 15 | 6 | | 16 | 27 | | 17 | 10 | | 18 | 5 | | 19 | 7 | | 20 | 14 | | 21 | 12 | | 22 | 22 | | 23 | 6 | | 24 | 11 | | 25 | 2 | | 26 | 12 | | 27 | 8 | | 28 | 12 | | 29 | 13 | | 30 | 2 | | 31 | 10 | | 32 | 15 | | 33 | 15 | | 34 | 1 | | 35 | 2 | | 36 | 12 | | 37 | 3 | | 38 | 9 | | 39 | 4 | | 40 | 8 | | 41 | 15 | | 42 | 26 | | 43 | 2 | | 44 | 4 | | 45 | 19 | | 46 | 15 | | 47 | 15 | | 48 | 3 | | 49 | 12 |
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| 47.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3548387096774194 | | totalSentences | 124 | | uniqueOpeners | 44 | |
| 90.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 110 | | matches | | 0 | "Usually cool as river gravel," | | 1 | "Instead, two parallel depressions sank" | | 2 | "Instead, she heard the synchronized" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 110 | | matches | | 0 | "She tapped the screen of" | | 1 | "Her fingers closed around the" | | 2 | "She let go of the" | | 3 | "It burned a small circle" | | 4 | "Her voice struck the clearing" | | 5 | "She took three paces toward" | | 6 | "She kept her tone flat," | | 7 | "She lowered the beam." | | 8 | "It pooled between the massive" | | 9 | "She tipped the light up." | | 10 | "She turned toward the gap" | | 11 | "She marched toward the perimeter." | | 12 | "Her steps were deliberate, measured" | | 13 | "It was sharp, the clacking" | | 14 | "Her knuckles struck nothing." | | 15 | "She demanded, the words rattling" | | 16 | "It matched her own timbre," | | 17 | "She kept the flashlight trained" | | 18 | "It swung against her ribs," | | 19 | "She retreated, her heels catching" |
| | ratio | 0.245 | |
| 69.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 110 | | matches | | 0 | "The perimeter of Richmond Park" | | 1 | "Rory stepped over the roots," | | 2 | "Here, inside the pocket, summer" | | 3 | "Bluebells and pale anemones choked" | | 4 | "The air smelled of crushed" | | 5 | "She tapped the screen of" | | 6 | "The voice memo app recorded" | | 7 | "Rory held the microphone close" | | 8 | "The digital counter on the" | | 9 | "Rory pinched the bridge of" | | 10 | "A dull ache throbbed along" | | 11 | "The air clung to her" | | 12 | "Leaves hung motionless from the" | | 13 | "Here, absolute quiet settled like" | | 14 | "Rory reached under her collar." | | 15 | "Her fingers closed around the" | | 16 | "The thumbnail-sized crimson jewel sat" | | 17 | "The dull red glimmer beneath" | | 18 | "She let go of the" | | 19 | "It burned a small circle" |
| | ratio | 0.782 | |
| 45.45% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 110 | | matches | | 0 | "Now it carried the cadence" |
| | ratio | 0.009 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory gasped, tearing at her collar, hooking two fingers under the silver chain to pull the crimson gem off her chest." | | 1 | "Something long and low to the earth crouched just beyond the edge of the visible spectrum, its mass displacing physical space without reflecting light." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "She demanded, the words rattling in her throat" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "She demanded (demand)" | | 1 | "she muttered (mutter)" | | 2 | "the grass whispered (whisper)" |
| | dialogueSentences | 13 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 1 | | effectiveRatio | 0.462 | |