| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 93.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1455 | | 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) | |
| 51.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1455 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "perfect" | | 1 | "silence" | | 2 | "echo" | | 3 | "scanned" | | 4 | "whisper" | | 5 | "could feel" | | 6 | "pulsed" | | 7 | "warmth" | | 8 | "footsteps" | | 9 | "vibrated" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "knuckles turned white" | | 1 | "clenched her fists" | | 2 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 304 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 304 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 310 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1454 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1447 | | uniqueNames | 8 | | maxNameDensity | 0.97 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Park | 1 | | London | 1 | | Heartstone | 2 | | Pendant | 1 | | Grove | 3 | | Fae | 1 | | Aurora | 14 | | Thump | 3 |
| | persons | | | places | | 0 | "Park" | | 1 | "London" | | 2 | "Grove" | | 3 | "Fae" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 94 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like fabric dragging over dry leav" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1454 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 310 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 111 | | mean | 13.1 | | std | 11.85 | | cv | 0.905 | | sampleLengths | | 0 | 71 | | 1 | 62 | | 2 | 7 | | 3 | 35 | | 4 | 36 | | 5 | 1 | | 6 | 18 | | 7 | 44 | | 8 | 41 | | 9 | 10 | | 10 | 24 | | 11 | 18 | | 12 | 10 | | 13 | 32 | | 14 | 2 | | 15 | 9 | | 16 | 42 | | 17 | 28 | | 18 | 25 | | 19 | 37 | | 20 | 10 | | 21 | 5 | | 22 | 9 | | 23 | 36 | | 24 | 11 | | 25 | 1 | | 26 | 16 | | 27 | 21 | | 28 | 17 | | 29 | 24 | | 30 | 6 | | 31 | 12 | | 32 | 14 | | 33 | 19 | | 34 | 7 | | 35 | 21 | | 36 | 19 | | 37 | 9 | | 38 | 17 | | 39 | 7 | | 40 | 7 | | 41 | 10 | | 42 | 13 | | 43 | 14 | | 44 | 22 | | 45 | 7 | | 46 | 9 | | 47 | 20 | | 48 | 8 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 304 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 294 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 310 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1448 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.025552486187845305 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.008977900552486187 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 310 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 310 | | mean | 4.69 | | std | 2.91 | | cv | 0.621 | | sampleLengths | | 0 | 10 | | 1 | 10 | | 2 | 17 | | 3 | 7 | | 4 | 27 | | 5 | 5 | | 6 | 12 | | 7 | 11 | | 8 | 5 | | 9 | 2 | | 10 | 11 | | 11 | 8 | | 12 | 8 | | 13 | 7 | | 14 | 2 | | 15 | 17 | | 16 | 5 | | 17 | 6 | | 18 | 2 | | 19 | 3 | | 20 | 8 | | 21 | 10 | | 22 | 4 | | 23 | 7 | | 24 | 7 | | 25 | 1 | | 26 | 6 | | 27 | 3 | | 28 | 9 | | 29 | 4 | | 30 | 5 | | 31 | 4 | | 32 | 7 | | 33 | 4 | | 34 | 7 | | 35 | 2 | | 36 | 11 | | 37 | 5 | | 38 | 6 | | 39 | 8 | | 40 | 2 | | 41 | 7 | | 42 | 13 | | 43 | 5 | | 44 | 5 | | 45 | 2 | | 46 | 5 | | 47 | 6 | | 48 | 4 | | 49 | 4 |
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| 37.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 39 | | diversityRatio | 0.23225806451612904 | | totalSentences | 310 | | uniqueOpeners | 72 | |
| 66.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 250 | | matches | | 0 | "Only the ancient oaks." | | 1 | "Just a void in the" | | 2 | "Only the empty space where" | | 3 | "Just white spheres." | | 4 | "Only the sound of her" |
| | ratio | 0.02 | |
| 95.20% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 78 | | totalSentences | 250 | | matches | | 0 | "She adjusted the collar of" | | 1 | "She walked into the clearing." | | 2 | "They glowed under the moonlight." | | 3 | "Her breath plumed in front" | | 4 | "She touched the scar on" | | 5 | "She continued toward the center" | | 6 | "She slipped her fingers around" | | 7 | "She checked her watch." | | 8 | "She tapped the glass." | | 9 | "She needed to find the" | | 10 | "Her bright blue eyes scanned" | | 11 | "She took a step back." | | 12 | "She rubbed her eyes." | | 13 | "She released it." | | 14 | "Their bark resembled twisted faces," | | 15 | "She walked toward the nearest" | | 16 | "Her voice sounded thin." | | 17 | "She moved deeper into the" | | 18 | "Her own tracks behind her" | | 19 | "She looked down." |
| | ratio | 0.312 | |
| 10.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 225 | | totalSentences | 250 | | matches | | 0 | "Aurora pushed through the barrier" | | 1 | "The air shifted instantly, heavy" | | 2 | "Richmond Park lay behind her," | | 3 | "She adjusted the collar of" | | 4 | "The silver chain of the" | | 5 | "She walked into the clearing." | | 6 | "Wildflowers bloomed in the mud," | | 7 | "Bluebells and foxgloves stood tall," | | 8 | "They glowed under the moonlight." | | 9 | "Her breath plumed in front" | | 10 | "She touched the scar on" | | 11 | "The crescent shape felt tight," | | 12 | "A branch snapped somewhere to" | | 13 | "The trees stood in a" | | 14 | "The silence pressed against her" | | 15 | "The stillness held." | | 16 | "She continued toward the center" | | 17 | "The ground felt spongy, absorbing" | | 18 | "The pendant burned hotter." | | 19 | "She slipped her fingers around" |
| | ratio | 0.9 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 250 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 1 | | matches | | 0 | "The silver chain of the Heartstone Pendant rested against her skin, the deep crimson gemstone pulsing with a heat that had nothing to do with body temperature." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |