| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1191 | | totalAiIsmAdverbs | 1 | | 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) | |
| 20.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1191 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "weight" | | 1 | "chill" | | 2 | "pulsed" | | 3 | "throbbed" | | 4 | "familiar" | | 5 | "perfect" | | 6 | "footsteps" | | 7 | "trembled" | | 8 | "pulse" | | 9 | "fractured" |
| |
| 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 | 239 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 239 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 239 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1191 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1191 | | uniqueNames | 9 | | maxNameDensity | 1.85 | | worstName | "You" | | maxWindowNameDensity | 5 | | worstWindowName | "You" | | discoveredNames | | October | 1 | | Heartstone | 3 | | Evan | 3 | | Rory | 2 | | Aurora | 3 | | You | 22 | | Stay | 3 | | Wake | 4 | | Listened | 3 |
| | persons | | 0 | "October" | | 1 | "Heartstone" | | 2 | "Evan" | | 3 | "Rory" | | 4 | "Aurora" | | 5 | "You" |
| | places | (empty) | | globalScore | 0.576 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | 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 | 1191 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 239 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 34.03 | | std | 23.8 | | cv | 0.699 | | sampleLengths | | 0 | 110 | | 1 | 47 | | 2 | 56 | | 3 | 10 | | 4 | 25 | | 5 | 26 | | 6 | 29 | | 7 | 10 | | 8 | 6 | | 9 | 10 | | 10 | 37 | | 11 | 11 | | 12 | 17 | | 13 | 48 | | 14 | 17 | | 15 | 42 | | 16 | 32 | | 17 | 25 | | 18 | 43 | | 19 | 52 | | 20 | 27 | | 21 | 48 | | 22 | 8 | | 23 | 19 | | 24 | 4 | | 25 | 82 | | 26 | 25 | | 27 | 12 | | 28 | 57 | | 29 | 42 | | 30 | 15 | | 31 | 12 | | 32 | 58 | | 33 | 59 | | 34 | 70 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 239 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 235 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 239 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1192 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.02181208053691275 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0050335570469798654 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 239 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 239 | | mean | 4.98 | | std | 3.47 | | cv | 0.696 | | sampleLengths | | 0 | 14 | | 1 | 5 | | 2 | 22 | | 3 | 4 | | 4 | 1 | | 5 | 1 | | 6 | 2 | | 7 | 5 | | 8 | 4 | | 9 | 6 | | 10 | 5 | | 11 | 15 | | 12 | 14 | | 13 | 9 | | 14 | 3 | | 15 | 9 | | 16 | 14 | | 17 | 6 | | 18 | 5 | | 19 | 7 | | 20 | 6 | | 21 | 6 | | 22 | 2 | | 23 | 11 | | 24 | 13 | | 25 | 2 | | 26 | 4 | | 27 | 8 | | 28 | 10 | | 29 | 2 | | 30 | 8 | | 31 | 9 | | 32 | 3 | | 33 | 12 | | 34 | 1 | | 35 | 2 | | 36 | 4 | | 37 | 11 | | 38 | 9 | | 39 | 5 | | 40 | 14 | | 41 | 4 | | 42 | 3 | | 43 | 3 | | 44 | 3 | | 45 | 4 | | 46 | 3 | | 47 | 3 | | 48 | 3 | | 49 | 4 |
| |
| 39.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 49 | | diversityRatio | 0.3598326359832636 | | totalSentences | 239 | | uniqueOpeners | 86 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 175 | | matches | | 0 | "All blooming out of season." | | 1 | "Just a hollow where eyes" | | 2 | "Always sign for receipt." | | 3 | "All sounding like her." | | 4 | "Just hollows and vertical splits." |
| | ratio | 0.029 | |
| 73.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 64 | | totalSentences | 175 | | matches | | 0 | "She checked her watch." | | 1 | "She didn’t bother resetting it." | | 2 | "She dropped her paper takeout" | | 3 | "It had been warm in" | | 4 | "It pulsed in time with" | | 5 | "She wiped it on her" | | 6 | "Her left wrist throbbed." | | 7 | "She pressed her thumb against" | | 8 | "I came for the key." | | 9 | "You don’t breathe." | | 10 | "You’re borrowing air." | | 11 | "We borrow everything here." | | 12 | "We keep it." | | 13 | "She unbuttoned two buttons and" | | 14 | "Your blood sings." | | 15 | "It stepped into a sliver" | | 16 | "You want the pendant." | | 17 | "I keep my deliveries." | | 18 | "I don’t leave things behind." | | 19 | "You run until the stones" |
| | ratio | 0.366 | |
| 48.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 144 | | totalSentences | 175 | | matches | | 0 | "The path through the ancient" | | 1 | "Aurora pulled her jacket tighter." | | 2 | "The grass beneath her boots" | | 3 | "Wildflowers carpeted the ground." | | 4 | "She checked her watch." | | 5 | "The second hand twitched, then" | | 6 | "She didn’t bother resetting it." | | 7 | "She dropped her paper takeout" | | 8 | "The Heartstone hung heavy against" | | 9 | "It had been warm in" | | 10 | "The air smelled of damp" | | 11 | "Aurora dragged her gloved fingers" | | 12 | "The wood felt slick, almost" | | 13 | "It pulsed in time with" | | 14 | "She wiped it on her" | | 15 | "A branch cracked to her" | | 16 | "Nothing but tall grass swaying" | | 17 | "The movement smoothed out too" | | 18 | "Her left wrist throbbed." | | 19 | "The crescent scar ached with" |
| | ratio | 0.823 | |
| 85.71% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 175 | | matches | | 0 | "Now it burned." | | 1 | "To the pocket." | | 2 | "To the grove." |
| | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | |