| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 2 | | adverbTags | | 0 | "Nyx stood abruptly [abruptly]" | | 1 | "they whispered directly [directly]" |
| | dialogueSentences | 20 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0.286 | | effectiveRatio | 0.2 | |
| 77.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 891 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "tightly" | | 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) | |
| 21.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 891 | | totalAiIsms | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | word | "down her spine" | | count | 1 |
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| | highlights | | 0 | "shimmered" | | 1 | "pulsed" | | 2 | "flickered" | | 3 | "whisper" | | 4 | "resonance" | | 5 | "perfect" | | 6 | "resolved" | | 7 | "gleaming" | | 8 | "affection" | | 9 | "pulse" | | 10 | "structure" | | 11 | "fleeting" | | 12 | "down her spine" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 66 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 66 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 876 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 62.28% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 741 | | uniqueNames | 5 | | maxNameDensity | 1.75 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 13 | | Heartstone | 1 | | Isolde | 7 | | Nyx | 7 | | Fae | 4 |
| | persons | | | places | (empty) | | globalScore | 0.623 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 4.566 | | wordCount | 876 | | matches | | 0 | "not an animal sound, but the deliberate movement of something large parting ferns" | | 1 | "not a beast, but a mass of vines" | | 2 | "not a shadow-being, but a dark-haired man with hollow cheeks" | | 3 | "not a fish, but a shape too large" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 28.26 | | std | 14.3 | | cv | 0.506 | | sampleLengths | | 0 | 41 | | 1 | 21 | | 2 | 51 | | 3 | 37 | | 4 | 54 | | 5 | 34 | | 6 | 19 | | 7 | 44 | | 8 | 6 | | 9 | 38 | | 10 | 27 | | 11 | 19 | | 12 | 50 | | 13 | 25 | | 14 | 28 | | 15 | 46 | | 16 | 17 | | 17 | 43 | | 18 | 3 | | 19 | 18 | | 20 | 45 | | 21 | 8 | | 22 | 32 | | 23 | 36 | | 24 | 21 | | 25 | 13 | | 26 | 27 | | 27 | 15 | | 28 | 37 | | 29 | 9 | | 30 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 128 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 79 | | ratio | 0.076 | | matches | | 0 | "Something rustled in the undergrowth—not an animal sound, but the deliberate movement of something large parting ferns." | | 1 | "A shape resolved itself—not a beast, but a mass of vines and thorns woven into something approximating a stag's form." | | 2 | "Deeper in, the trees gave way to a clearing where wildflowers bloomed in impossible colors—petals shifting from violet to indigo as they watched, stems twining around each other in slow, deliberate spirals." | | 3 | "Something moved beneath the surface—not a fish, but a shape too large and wrong to belong in any pond." | | 4 | "The runes resolved into clarity for one fleeting second—a twisted helix pattern that made her vision swim—before shifting again." | | 5 | "Something laughed—a sound like branches scraping glass." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 756 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.031746031746031744 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.01455026455026455 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 11.09 | | std | 6.31 | | cv | 0.569 | | sampleLengths | | 0 | 15 | | 1 | 18 | | 2 | 8 | | 3 | 18 | | 4 | 3 | | 5 | 13 | | 6 | 38 | | 7 | 17 | | 8 | 8 | | 9 | 12 | | 10 | 16 | | 11 | 16 | | 12 | 22 | | 13 | 17 | | 14 | 10 | | 15 | 7 | | 16 | 8 | | 17 | 11 | | 18 | 3 | | 19 | 20 | | 20 | 12 | | 21 | 9 | | 22 | 4 | | 23 | 2 | | 24 | 12 | | 25 | 4 | | 26 | 9 | | 27 | 13 | | 28 | 12 | | 29 | 15 | | 30 | 12 | | 31 | 7 | | 32 | 32 | | 33 | 18 | | 34 | 6 | | 35 | 16 | | 36 | 3 | | 37 | 7 | | 38 | 9 | | 39 | 12 | | 40 | 7 | | 41 | 10 | | 42 | 19 | | 43 | 10 | | 44 | 13 | | 45 | 4 | | 46 | 14 | | 47 | 15 | | 48 | 14 | | 49 | 3 |
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| 61.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3924050632911392 | | totalSentences | 79 | | uniqueOpeners | 31 | |
| 51.28% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 65 | | matches | | 0 | "Only the altar remained, its" |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 65 | | matches | | 0 | "Her skin tingled where the" | | 1 | "She pressed her palm to" | | 2 | "Their whisper-voice carried an odd" | | 3 | "It lowered its head, antlers" | | 4 | "She bit her tongue hard" | | 5 | "Their reflection showed not a" | | 6 | "They bent toward her touch" | | 7 | "She yanked the chain away" | | 8 | "She clenched her fist until" | | 9 | "they whispered directly into her" |
| | ratio | 0.154 | |
| 6.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 65 | | matches | | 0 | "The air shimmered like heat" | | 1 | "Her skin tingled where the" | | 2 | "The Heartstone pendant pulsed warm" | | 3 | "She pressed her palm to" | | 4 | "The tree hummed." | | 5 | "Nyx's form flickered between corporeal" | | 6 | "Their whisper-voice carried an odd" | | 7 | "Isolde walked ahead without looking" | | 8 | "Aurora's boots sank slightly into" | | 9 | "The trees arched overhead in" | | 10 | "Bioluminescent fungi clung to the" | | 11 | "Something rustled in the undergrowth—not" | | 12 | "Aurora's hand went to the" | | 13 | "The metal seared cold through" | | 14 | "Isolde held up a hand" | | 15 | "The ferns shivered." | | 16 | "A shape resolved itself—not a" | | 17 | "It lowered its head, antlers" | | 18 | "Nyx went perfectly still." | | 19 | "The creature exhaled, and the" |
| | ratio | 0.908 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "Isolde walked ahead without looking back, her silver hair catching light that shouldn't exist beneath the canopy." | | 1 | "Bioluminescent fungi clung to the trunks in swirling patterns, casting a blue-green glow that made Nyx's shadow-form ripple like oil on water." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 5 | | matches | | 0 | "She pressed, its bark unnaturally smooth under her fingers" | | 1 | "Their whisper-voice carried, as if the air itself absorbed and amplified the sound" | | 2 | "Nyx stood abruptly, their form bleeding back into solidity" | | 3 | "Aurora circled, the Fae blade humming in its sheath" | | 4 | "they whispered directly, the words vibrating down her spine" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "She pressed (press)" | | 1 | "Aurora muttered (mutter)" | | 2 | "they whispered directly (whisper)" |
| | dialogueSentences | 20 | | tagDensity | 0.15 | | leniency | 0.3 | | rawRatio | 1 | | effectiveRatio | 0.3 | |