| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 94.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1892 | | 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) | |
| 28.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1892 | | totalAiIsms | 27 | | found | | | highlights | | 0 | "tracing" | | 1 | "weight" | | 2 | "flickered" | | 3 | "crystal" | | 4 | "magnetic" | | 5 | "whisper" | | 6 | "scanned" | | 7 | "perfect" | | 8 | "echoed" | | 9 | "pulsed" | | 10 | "silence" | | 11 | "calculate" | | 12 | "long shadow" | | 13 | "pulse" | | 14 | "vibrated" | | 15 | "shattered" |
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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 | 297 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 3 | | narrationSentences | 297 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 297 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 20 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 4 | | totalWords | 1892 | | ratio | 0.002 | | matches | | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 6 | | matches | | 0 | "I am not late, Rory replied." | | 1 | "I know, Rory said." | | 2 | "You brought the stone, it said." | | 3 | "I brought nothing but my curiosity, Rory lied." | | 4 | "It is dead, Rory said." | | 5 | "I do not know you, Rory said." |
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| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1892 | | uniqueNames | 8 | | maxNameDensity | 1.85 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 2 | | Pendant | 1 | | Grove | 5 | | Rory | 35 | | Hel | 1 | | You | 6 |
| | persons | | 0 | "Pendant" | | 1 | "Grove" | | 2 | "Rory" | | 3 | "You" |
| | places | | | globalScore | 0.575 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 148 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a human voice distorted, stre" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.529 | | wordCount | 1892 | | matches | | 0 | "Not a sound, but a vibration" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 297 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 95 | | mean | 19.92 | | std | 17.71 | | cv | 0.889 | | sampleLengths | | 0 | 83 | | 1 | 73 | | 2 | 49 | | 3 | 65 | | 4 | 37 | | 5 | 56 | | 6 | 11 | | 7 | 36 | | 8 | 3 | | 9 | 42 | | 10 | 14 | | 11 | 17 | | 12 | 11 | | 13 | 47 | | 14 | 26 | | 15 | 32 | | 16 | 33 | | 17 | 27 | | 18 | 1 | | 19 | 4 | | 20 | 50 | | 21 | 29 | | 22 | 5 | | 23 | 37 | | 24 | 36 | | 25 | 6 | | 26 | 13 | | 27 | 11 | | 28 | 41 | | 29 | 20 | | 30 | 43 | | 31 | 2 | | 32 | 1 | | 33 | 3 | | 34 | 48 | | 35 | 27 | | 36 | 22 | | 37 | 50 | | 38 | 11 | | 39 | 2 | | 40 | 7 | | 41 | 43 | | 42 | 3 | | 43 | 12 | | 44 | 22 | | 45 | 10 | | 46 | 4 | | 47 | 48 | | 48 | 14 | | 49 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 297 | | matches | | 0 | "were gone" | | 1 | "was gone" | | 2 | "were gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 366 | | matches | | 0 | "was breaking" | | 1 | "was dissolving" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 297 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1893 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 52 | | adverbRatio | 0.02746962493396725 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.005810882197569995 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 297 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 297 | | mean | 6.37 | | std | 3.56 | | cv | 0.558 | | sampleLengths | | 0 | 20 | | 1 | 11 | | 2 | 15 | | 3 | 20 | | 4 | 17 | | 5 | 5 | | 6 | 11 | | 7 | 10 | | 8 | 2 | | 9 | 10 | | 10 | 4 | | 11 | 10 | | 12 | 5 | | 13 | 2 | | 14 | 14 | | 15 | 4 | | 16 | 15 | | 17 | 2 | | 18 | 4 | | 19 | 12 | | 20 | 12 | | 21 | 4 | | 22 | 20 | | 23 | 8 | | 24 | 12 | | 25 | 3 | | 26 | 6 | | 27 | 12 | | 28 | 7 | | 29 | 6 | | 30 | 14 | | 31 | 10 | | 32 | 3 | | 33 | 14 | | 34 | 6 | | 35 | 7 | | 36 | 7 | | 37 | 6 | | 38 | 5 | | 39 | 8 | | 40 | 6 | | 41 | 3 | | 42 | 2 | | 43 | 2 | | 44 | 11 | | 45 | 10 | | 46 | 13 | | 47 | 3 | | 48 | 3 | | 49 | 5 |
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| 32.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 51 | | diversityRatio | 0.16161616161616163 | | totalSentences | 297 | | uniqueOpeners | 48 | |
| 37.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 270 | | matches | | 0 | "Just the swaying shadow of" | | 1 | "Then, a footstep." | | 2 | "Only a swirling vortex of" |
| | ratio | 0.011 | |
| 65.93% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 104 | | totalSentences | 270 | | matches | | 0 | "She pulled the Heartstone Pendant" | | 1 | "She checked her watch." | | 2 | "She tapped the crystal face." | | 3 | "She shoved the device into" | | 4 | "She knew the season." | | 5 | "She inhaled through her mouth," | | 6 | "Her breath plumed before her," | | 7 | "She heard the crunch of" | | 8 | "She spun around." | | 9 | "She needed to find the" | | 10 | "It pointed her forward, a" | | 11 | "She turned a corner and" | | 12 | "She looked at her watch" | | 13 | "She strained her ears against" | | 14 | "It came from her right," | | 15 | "You are late." | | 16 | "Her muscles tightened." | | 17 | "She did not answer immediately." | | 18 | "She scanned the shadows, her" | | 19 | "She adjusted her grip on" |
| | ratio | 0.385 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 249 | | totalSentences | 270 | | matches | | 0 | "The iron gates of Richmond" | | 1 | "Rory stood at the threshold," | | 2 | "She pulled the Heartstone Pendant" | | 3 | "The gem rested against her" | | 4 | "The glow of the crimson" | | 5 | "Aurora pulled her coat tighter." | | 6 | "The boundary markers stood ten" | | 7 | "She checked her watch." | | 8 | "The second hand spun backward" | | 9 | "She tapped the crystal face." | | 10 | "She shoved the device into" | | 11 | "Wildflowers carpeted the ground." | | 12 | "Snowdrops and crocuses pushed through" | | 13 | "She knew the season." | | 14 | "The earth smelled wrong, too" | | 15 | "She inhaled through her mouth," | | 16 | "The air grew heavy." | | 17 | "Every step required more effort" | | 18 | "Her breath plumed before her," | | 19 | "She heard the crunch of" |
| | ratio | 0.922 | |
| 18.52% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 270 | | matches | | | ratio | 0.004 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | 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 | |