| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 86.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1831 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "perfectly" |
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| 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) | |
| 4.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1831 | | totalAiIsms | 35 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "carried the weight" | | count | 1 |
| | 11 | | word | "down her spine" | | count | 1 |
| | 12 | | | 13 | | | 14 | |
| | highlights | | 0 | "flickered" | | 1 | "weight" | | 2 | "echo" | | 3 | "pulsed" | | 4 | "traced" | | 5 | "echoed" | | 6 | "footsteps" | | 7 | "silence" | | 8 | "pulse" | | 9 | "measured" | | 10 | "carried the weight" | | 11 | "down her spine" | | 12 | "synchronized" | | 13 | "vibrated" | | 14 | "trembled" |
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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 | 361 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 361 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 361 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1831 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 1831 | | uniqueNames | 4 | | maxNameDensity | 0.44 | | worstName | "You" | | maxWindowNameDensity | 1.5 | | worstWindowName | "You" | | discoveredNames | | Surrey | 1 | | Richmond | 1 | | Rory | 3 | | You | 8 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 111 | | 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 | 1831 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 361 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 33.91 | | std | 54.13 | | cv | 1.596 | | sampleLengths | | 0 | 175 | | 1 | 139 | | 2 | 1 | | 3 | 14 | | 4 | 3 | | 5 | 33 | | 6 | 2 | | 7 | 15 | | 8 | 4 | | 9 | 17 | | 10 | 12 | | 11 | 50 | | 12 | 3 | | 13 | 71 | | 14 | 3 | | 15 | 150 | | 16 | 2 | | 17 | 12 | | 18 | 3 | | 19 | 63 | | 20 | 4 | | 21 | 14 | | 22 | 3 | | 23 | 15 | | 24 | 1 | | 25 | 84 | | 26 | 4 | | 27 | 4 | | 28 | 2 | | 29 | 90 | | 30 | 2 | | 31 | 5 | | 32 | 1 | | 33 | 59 | | 34 | 3 | | 35 | 8 | | 36 | 2 | | 37 | 8 | | 38 | 3 | | 39 | 50 | | 40 | 3 | | 41 | 14 | | 42 | 5 | | 43 | 4 | | 44 | 2 | | 45 | 29 | | 46 | 2 | | 47 | 129 | | 48 | 1 | | 49 | 254 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 361 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 384 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 361 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1831 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 58 | | adverbRatio | 0.031676679410158386 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.002730748225013654 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 361 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 361 | | mean | 5.07 | | std | 3.77 | | cv | 0.744 | | sampleLengths | | 0 | 11 | | 1 | 25 | | 2 | 4 | | 3 | 12 | | 4 | 15 | | 5 | 14 | | 6 | 4 | | 7 | 6 | | 8 | 4 | | 9 | 8 | | 10 | 11 | | 11 | 11 | | 12 | 14 | | 13 | 5 | | 14 | 22 | | 15 | 3 | | 16 | 6 | | 17 | 10 | | 18 | 9 | | 19 | 12 | | 20 | 2 | | 21 | 2 | | 22 | 5 | | 23 | 10 | | 24 | 4 | | 25 | 6 | | 26 | 2 | | 27 | 3 | | 28 | 2 | | 29 | 6 | | 30 | 5 | | 31 | 7 | | 32 | 2 | | 33 | 5 | | 34 | 6 | | 35 | 3 | | 36 | 16 | | 37 | 6 | | 38 | 11 | | 39 | 5 | | 40 | 1 | | 41 | 8 | | 42 | 2 | | 43 | 4 | | 44 | 3 | | 45 | 21 | | 46 | 2 | | 47 | 5 | | 48 | 3 | | 49 | 1 |
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| 35.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 52 | | diversityRatio | 0.17174515235457063 | | totalSentences | 361 | | uniqueOpeners | 62 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 278 | | matches | | 0 | "Just a flat, suffocating black." | | 1 | "Then a third, spaced just" | | 2 | "Just the sound of leather" | | 3 | "Then the pacing resumed, tighter" | | 4 | "Just the slow press of" | | 5 | "Then the space between them" | | 6 | "Then a single word." | | 7 | "Then stand still." | | 8 | "Just the steady rhythm of" |
| | ratio | 0.032 | |
| 70.36% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 104 | | totalSentences | 278 | | matches | | 0 | "She released the trunk." | | 1 | "Their scent hit her nose," | | 2 | "She checked her wrist." | | 3 | "She tapped the screen." | | 4 | "She frowned, thumb brushing the" | | 5 | "She had come for answers." | | 6 | "She stepped forward." | | 7 | "She walked the narrow track" | | 8 | "She kept her pace steady," | | 9 | "She took two steps right." | | 10 | "She didn’t spin." | | 11 | "She kept her eyes forward," | | 12 | "It lagged, then rushed, then" | | 13 | "She exhaled through her nose." | | 14 | "Her voice dropped flat against" | | 15 | "You’re tracking wrong." | | 16 | "Her fingers found the pendant." | | 17 | "She stepped left." | | 18 | "She brushed the fabric off" | | 19 | "I’m not playing tag." |
| | ratio | 0.374 | |
| 4.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 253 | | totalSentences | 278 | | matches | | 0 | "Rory stepped past the third" | | 1 | "The oak bark ran rough" | | 2 | "She released the trunk." | | 3 | "The grove opened ahead, a" | | 4 | "Wildflowers pushed through the loam" | | 5 | "Their scent hit her nose," | | 6 | "She checked her wrist." | | 7 | "The digital display read 2:14" | | 8 | "She tapped the screen." | | 9 | "The numbers flickered, then reset" | | 10 | "She frowned, thumb brushing the" | | 11 | "The silver chain at her" | | 12 | "The crimson stone caught the" | | 13 | "She had come for answers." | | 14 | "The file on her desk" | | 15 | "She stepped forward." | | 16 | "The gravel cracked beneath her" | | 17 | "She walked the narrow track" | | 18 | "The ground felt spongy, yielding" | | 19 | "Branches arched overhead, woven into" |
| | ratio | 0.91 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 278 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 2 | | matches | | 0 | "The file on her desk mentioned coordinate intersections, old parish records, whispers of a threshold that didn’t bleed time but folded it." | | 1 | "The light brightened, casting long shadows that stretched past her boots, merging with another shadow that walked beside her." |
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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 | |