| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2120 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2120 | | totalAiIsms | 47 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "fractured" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "chill" | | 4 | "calibrated" | | 5 | "silence" | | 6 | "echoed" | | 7 | "footsteps" | | 8 | "flickered" | | 9 | "parameters" | | 10 | "vibrated" | | 11 | "trembled" | | 12 | "scanned" | | 13 | "loomed" | | 14 | "familiar" | | 15 | "resonance" | | 16 | "weight" | | 17 | "pulse" | | 18 | "resonated" | | 19 | "shattered" | | 20 | "perfect" | | 21 | "aligned" |
| |
| 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 | 313 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 6 | | hedgeCount | 1 | | narrationSentences | 313 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 313 | | 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 | 2120 | | 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 | 21 | | wordCount | 2114 | | uniqueNames | 7 | | maxNameDensity | 0.43 | | worstName | "You" | | maxWindowNameDensity | 1.5 | | worstWindowName | "You" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Bottle | 1 | | You | 9 | | Heat | 3 | | Time | 3 | | Frost | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Bottle" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 174 | | 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 | 2120 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 313 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 108 | | mean | 19.63 | | std | 15.88 | | cv | 0.809 | | sampleLengths | | 0 | 65 | | 1 | 88 | | 2 | 3 | | 3 | 33 | | 4 | 3 | | 5 | 39 | | 6 | 3 | | 7 | 36 | | 8 | 7 | | 9 | 2 | | 10 | 7 | | 11 | 42 | | 12 | 7 | | 13 | 6 | | 14 | 51 | | 15 | 8 | | 16 | 23 | | 17 | 44 | | 18 | 5 | | 19 | 38 | | 20 | 4 | | 21 | 9 | | 22 | 34 | | 23 | 15 | | 24 | 7 | | 25 | 49 | | 26 | 5 | | 27 | 12 | | 28 | 11 | | 29 | 4 | | 30 | 31 | | 31 | 11 | | 32 | 33 | | 33 | 6 | | 34 | 8 | | 35 | 43 | | 36 | 9 | | 37 | 30 | | 38 | 9 | | 39 | 38 | | 40 | 8 | | 41 | 9 | | 42 | 36 | | 43 | 6 | | 44 | 7 | | 45 | 23 | | 46 | 11 | | 47 | 33 | | 48 | 8 | | 49 | 8 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 313 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 370 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 313 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 212 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 0 | | adverbRatio | 0 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 313 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 313 | | mean | 6.77 | | std | 3.53 | | cv | 0.522 | | sampleLengths | | 0 | 12 | | 1 | 15 | | 2 | 16 | | 3 | 22 | | 4 | 9 | | 5 | 13 | | 6 | 14 | | 7 | 16 | | 8 | 10 | | 9 | 15 | | 10 | 11 | | 11 | 3 | | 12 | 7 | | 13 | 9 | | 14 | 4 | | 15 | 1 | | 16 | 1 | | 17 | 11 | | 18 | 3 | | 19 | 10 | | 20 | 7 | | 21 | 9 | | 22 | 2 | | 23 | 2 | | 24 | 9 | | 25 | 3 | | 26 | 3 | | 27 | 2 | | 28 | 10 | | 29 | 3 | | 30 | 18 | | 31 | 7 | | 32 | 2 | | 33 | 3 | | 34 | 4 | | 35 | 7 | | 36 | 4 | | 37 | 15 | | 38 | 16 | | 39 | 7 | | 40 | 6 | | 41 | 6 | | 42 | 12 | | 43 | 4 | | 44 | 5 | | 45 | 10 | | 46 | 14 | | 47 | 3 | | 48 | 5 | | 49 | 5 |
| |
| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 94 | | diversityRatio | 0.1757188498402556 | | totalSentences | 313 | | uniqueOpeners | 55 | |
| 44.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 299 | | matches | | 0 | "Only a dense absence of" | | 1 | "Only the hollow voice remained," | | 2 | "Only a smooth, unbroken void" | | 3 | "Only the smooth, unbroken black" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 89 | | totalSentences | 299 | | matches | | 0 | "She adjusted the silver chain" | | 1 | "She came to map the" | | 2 | "She carried a calibrated geophone" | | 3 | "She turned a quarter circle," | | 4 | "You hear that?" | | 5 | "I hear it." | | 6 | "It sounds like boots on" | | 7 | "She pulled the geophone from" | | 8 | "She dropped to one knee," | | 9 | "She watched the second hand" | | 10 | "I route a drone down" | | 11 | "She released the connector and" | | 12 | "She scanned the perimeter." | | 13 | "It bypassed the headset." | | 14 | "I hear the anomaly." | | 15 | "She wiped a smear of" | | 16 | "We pull this in." | | 17 | "It flowed across the earth," | | 18 | "She shifted her weight, planting" | | 19 | "You follow the warmth." |
| | ratio | 0.298 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 279 | | totalSentences | 299 | | matches | | 0 | "The ancient oak standing stones" | | 1 | "Moonlight pooled in the hollows" | | 2 | "Rory stepped past the boundary" | | 3 | "The wildflowers bloomed out of" | | 4 | "She adjusted the silver chain" | | 5 | "The deep crimson gem pulsed" | | 6 | "A faint inner glow seeped" | | 7 | "She came to map the" | | 8 | "The frequency readings bled into" | | 9 | "She carried a calibrated geophone" | | 10 | "The paperwork sat in a" | | 11 | "The silence fractured." | | 12 | "A soft scrape echoed from" | | 13 | "The rhythm matched footsteps." | | 14 | "She turned a quarter circle," | | 15 | "You hear that?" | | 16 | "A crackle hissed through the" | | 17 | "Eva’s voice strained against the" | | 18 | "Background noise from" | | 19 | "The mundane sounds of her" |
| | ratio | 0.933 | |
| 16.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 299 | | matches | | 0 | "If the distortion widens, you" |
| | ratio | 0.003 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 4 | | matches | | 0 | "The wildflowers bloomed out of season, their stems bowing under a heavy, unseasonal frost that clung to the petals like glass dust." | | 1 | "The display screen flickered, numbers rolling backward before settling on values that defied the baseline parameters." | | 2 | "The standing stones loomed taller than before, their carvings shifting into patterns that refused to settle into familiar runes." | | 3 | "The carvings along the stone surface slid into new positions, realigning into a circle that mirrored the pendant’s shape." |
| |
| 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 | |