| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.368 | | leniency | 0.737 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1940 | | 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) | |
| 51.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1940 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "pulsed" | | 1 | "rhythmic" | | 2 | "warmth" | | 3 | "chill" | | 4 | "vibrated" | | 5 | "throbbed" | | 6 | "scanned" | | 7 | "silence" | | 8 | "loomed" | | 9 | "crystallized" | | 10 | "shattered" | | 11 | "stomach" | | 12 | "resonated" |
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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 | 1 | | narrationSentences | 298 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 298 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 322 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1940 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1794 | | uniqueNames | 13 | | maxNameDensity | 0.78 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 3 | | Pendant | 1 | | London | 1 | | Grove | 3 | | Aurora | 14 | | Hole | 1 | | Pale | 3 | | Stone | 3 | | Darkness | 3 | | Gliding | 3 | | Dust | 3 |
| | persons | | 0 | "Grove" | | 1 | "Aurora" | | 2 | "Stone" | | 3 | "Dust" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Pendant" | | 3 | "London" | | 4 | "Darkness" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 125 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like lungs filled with water, gulp" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1940 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 322 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 81 | | mean | 23.95 | | std | 19.92 | | cv | 0.832 | | sampleLengths | | 0 | 77 | | 1 | 78 | | 2 | 30 | | 3 | 75 | | 4 | 71 | | 5 | 6 | | 6 | 59 | | 7 | 56 | | 8 | 52 | | 9 | 23 | | 10 | 40 | | 11 | 41 | | 12 | 49 | | 13 | 25 | | 14 | 6 | | 15 | 44 | | 16 | 38 | | 17 | 14 | | 18 | 8 | | 19 | 40 | | 20 | 40 | | 21 | 30 | | 22 | 37 | | 23 | 32 | | 24 | 39 | | 25 | 20 | | 26 | 29 | | 27 | 40 | | 28 | 13 | | 29 | 24 | | 30 | 9 | | 31 | 17 | | 32 | 22 | | 33 | 4 | | 34 | 3 | | 35 | 3 | | 36 | 39 | | 37 | 3 | | 38 | 18 | | 39 | 16 | | 40 | 34 | | 41 | 8 | | 42 | 4 | | 43 | 34 | | 44 | 15 | | 45 | 1 | | 46 | 31 | | 47 | 32 | | 48 | 9 | | 49 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 298 | | matches | | 0 | "being pulled" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 332 | | matches | | 0 | "wasn’t coming" | | 1 | "was coming" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 322 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1796 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 47 | | adverbRatio | 0.026169265033407572 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.004454342984409799 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 322 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 322 | | mean | 6.02 | | std | 4.13 | | cv | 0.686 | | sampleLengths | | 0 | 22 | | 1 | 5 | | 2 | 13 | | 3 | 21 | | 4 | 16 | | 5 | 9 | | 6 | 14 | | 7 | 15 | | 8 | 3 | | 9 | 12 | | 10 | 25 | | 11 | 4 | | 12 | 4 | | 13 | 22 | | 14 | 4 | | 15 | 9 | | 16 | 4 | | 17 | 6 | | 18 | 18 | | 19 | 10 | | 20 | 1 | | 21 | 4 | | 22 | 19 | | 23 | 4 | | 24 | 16 | | 25 | 11 | | 26 | 15 | | 27 | 12 | | 28 | 10 | | 29 | 3 | | 30 | 6 | | 31 | 9 | | 32 | 5 | | 33 | 17 | | 34 | 2 | | 35 | 1 | | 36 | 11 | | 37 | 7 | | 38 | 3 | | 39 | 4 | | 40 | 10 | | 41 | 5 | | 42 | 9 | | 43 | 2 | | 44 | 5 | | 45 | 3 | | 46 | 1 | | 47 | 10 | | 48 | 11 | | 49 | 4 |
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| 39.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 34 | | diversityRatio | 0.2236024844720497 | | totalSentences | 322 | | uniqueOpeners | 72 | |
| 63.61% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 262 | | matches | | 0 | "Just the stone face of" | | 1 | "Unnaturally warm for stone." | | 2 | "Then the breathing started." | | 3 | "Just the wet inhalation." | | 4 | "Too far to the left." |
| | ratio | 0.019 | |
| 73.44% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 96 | | totalSentences | 262 | | matches | | 0 | "She tucked the silver chain" | | 1 | "She stepped forward." | | 2 | "Her boots crunched on dead" | | 3 | "Her voice didn’t carry." | | 4 | "She checked her watch." | | 5 | "She counted them one by" | | 6 | "She adjusted the flow, pulling" | | 7 | "She rubbed the back of" | | 8 | "It felt raw." | | 9 | "She pressed her hand against" | | 10 | "It felt warm." | | 11 | "She took three steps into" | | 12 | "They held her." | | 13 | "She looked down at a" | | 14 | "It was thick as her" | | 15 | "She scanned the dark corners." | | 16 | "They detached themselves from the" | | 17 | "She spoke to the empty" | | 18 | "Her throat felt dry." | | 19 | "She licked her lips and" |
| | ratio | 0.366 | |
| 1.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 240 | | totalSentences | 262 | | matches | | 0 | "The oak standing stones rose" | | 1 | "Aurora stopped at the threshold." | | 2 | "The air tasted of copper" | | 3 | "She tucked the silver chain" | | 4 | "The gemstone pulsed against her" | | 5 | "The wildflowers at her feet" | | 6 | "She stepped forward." | | 7 | "Her boots crunched on dead" | | 8 | "The texture of the leaves" | | 9 | "Her voice didn’t carry." | | 10 | "The sound swallowed itself before" | | 11 | "She checked her watch." | | 12 | "The second hand jittered, fighting" | | 13 | "She counted them one by" | | 14 | "A minute ticked away like" | | 15 | "Midnight felt like yesterday." | | 16 | "The sun was never supposed" | | 17 | "The Heartstone pulsed again." | | 18 | "Warmth radiated through her skin," | | 19 | "The crimson gemstone vibrated against" |
| | ratio | 0.916 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 262 | | matches | (empty) | | ratio | 0 | |
| 84.55% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 4 | | matches | | 0 | "The gemstone pulsed against her skin, a slow, rhythmic thrum that set her teeth on edge." | | 1 | "Pale petals opened wide, glowing with a faint, bioluminescent hum that made her squint." | | 2 | "Blue irises caught the light, reflecting a spectrum that didn’t exist outside the park gates." | | 3 | "Warmth radiated through her skin, seeping into the fabric of her coat, burning away the chill." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 6 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "She spoke (speak)" | | 2 | "Aurora pressed (press)" | | 3 | "A voice croaked (croak)" | | 4 | "She screamed (scream)" | | 5 | "She screamed (scream)" |
| | dialogueSentences | 38 | | tagDensity | 0.237 | | leniency | 0.474 | | rawRatio | 0.667 | | effectiveRatio | 0.316 | |