| 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 | 1092 | | 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) | |
| 40.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1092 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "perfect" | | 1 | "silk" | | 2 | "pulse" | | 3 | "silence" | | 4 | "whisper" | | 5 | "warmth" | | 6 | "chill" | | 7 | "echoes" | | 8 | "glistening" |
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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 | 93 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 93 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1085 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.10% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 939 | | uniqueNames | 15 | | maxNameDensity | 1.28 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Carter | 1 | | London | 1 | | Varga | 1 | | Aurora | 12 | | Nyx | 11 | | Hel | 1 | | Heartstone | 2 | | Isolde | 11 | | Evan | 1 | | Dymas | 1 | | Fae | 2 | | Prince | 1 | | Belphegor | 1 |
| | persons | | 0 | "Carter" | | 1 | "Varga" | | 2 | "Aurora" | | 3 | "Nyx" | | 4 | "Heartstone" | | 5 | "Isolde" | | 6 | "Evan" | | 7 | "Prince" | | 8 | "Belphegor" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.861 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | 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 | 1085 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 20.47 | | std | 20.7 | | cv | 1.011 | | sampleLengths | | 0 | 59 | | 1 | 60 | | 2 | 5 | | 3 | 4 | | 4 | 7 | | 5 | 15 | | 6 | 17 | | 7 | 8 | | 8 | 43 | | 9 | 56 | | 10 | 58 | | 11 | 5 | | 12 | 8 | | 13 | 14 | | 14 | 12 | | 15 | 40 | | 16 | 5 | | 17 | 3 | | 18 | 8 | | 19 | 6 | | 20 | 8 | | 21 | 7 | | 22 | 62 | | 23 | 3 | | 24 | 6 | | 25 | 8 | | 26 | 64 | | 27 | 10 | | 28 | 11 | | 29 | 37 | | 30 | 1 | | 31 | 11 | | 32 | 13 | | 33 | 15 | | 34 | 59 | | 35 | 6 | | 36 | 6 | | 37 | 12 | | 38 | 14 | | 39 | 5 | | 40 | 10 | | 41 | 57 | | 42 | 58 | | 43 | 52 | | 44 | 8 | | 45 | 3 | | 46 | 39 | | 47 | 3 | | 48 | 9 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 163 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 112 | | ratio | 0.063 | | matches | | 0 | "Wildflowers blanketed the ground in colours Aurora had never named—petals the violet of Nyx’s eyes, others the deep amber of a Hel sky she had only heard described." | | 1 | "A low stone circle rose from the bloom field—monoliths no taller than Aurora’s shoulder, each carved with spirals that shifted when she blinked." | | 2 | "Aurora brushed one and felt a memory not her own—laughter in a tongue she almost recognised, the press of wings against skin." | | 3 | "Along one bank, crystallised fruit hung from low branches—apples of pure amethyst, pears of translucent jade, each unmarked by decay yet humming with quiet hunger." | | 4 | "A second face overlaid hers for an instant—dark hair, white smile, Evan’s eyes." | | 5 | "Across the pond a second tunnel mouth breathed warm amber light—the colour of Dymas vineyards she had never seen yet somehow knew." | | 6 | "Voices murmured—sated laughter, the scrape of knives on bone china, a chef’s low croon over bubbling pots." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 950 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.023157894736842106 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003157894736842105 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 9.69 | | std | 5.64 | | cv | 0.583 | | sampleLengths | | 0 | 19 | | 1 | 8 | | 2 | 10 | | 3 | 9 | | 4 | 13 | | 5 | 12 | | 6 | 13 | | 7 | 28 | | 8 | 7 | | 9 | 5 | | 10 | 4 | | 11 | 7 | | 12 | 15 | | 13 | 10 | | 14 | 7 | | 15 | 8 | | 16 | 9 | | 17 | 19 | | 18 | 15 | | 19 | 3 | | 20 | 13 | | 21 | 2 | | 22 | 15 | | 23 | 9 | | 24 | 5 | | 25 | 9 | | 26 | 23 | | 27 | 3 | | 28 | 16 | | 29 | 4 | | 30 | 12 | | 31 | 5 | | 32 | 8 | | 33 | 4 | | 34 | 10 | | 35 | 12 | | 36 | 5 | | 37 | 8 | | 38 | 13 | | 39 | 14 | | 40 | 5 | | 41 | 3 | | 42 | 8 | | 43 | 6 | | 44 | 8 | | 45 | 7 | | 46 | 4 | | 47 | 6 | | 48 | 21 | | 49 | 22 |
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| 68.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.4107142857142857 | | totalSentences | 112 | | uniqueOpeners | 46 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 90 | | matches | | 0 | "Instead a low hum threaded" | | 1 | "Somewhere ahead liquid poured in" |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 90 | | matches | | 0 | "They brushed her ankles with" | | 1 | "She kept her voice low." | | 2 | "They moved deeper." | | 3 | "She reached out." | | 4 | "She drew it halfway." | | 5 | "She glanced at the others." | | 6 | "They descended single file." | | 7 | "She jerked her hand back." | | 8 | "Their reflection never appeared." | | 9 | "Her own face floated in" | | 10 | "She pointed with the Fae" | | 11 | "They reached the threshold of" | | 12 | "Its warmth became a brand." | | 13 | "She whispered so only the" | | 14 | "She drove the moonsilver blade" |
| | ratio | 0.167 | |
| 32.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 90 | | matches | | 0 | "The ancient oaks formed a" | | 1 | "Aurora Carter stepped between two" | | 2 | "The air thickened against her" | | 3 | "The next carried honeyed pollen" | | 4 | "Nyx slid after her, their" | | 5 | "Isolde Varga walked last, silver" | | 6 | "Wildflowers blanketed the ground in" | | 7 | "They brushed her ankles with" | | 8 | "She kept her voice low." | | 9 | "Isolde’s pale lavender eyes stayed" | | 10 | "Nyx crouched and pressed one" | | 11 | "The earth drank their fingers" | | 12 | "Aurora unclipped the Heartstone pendant" | | 13 | "The crimson gem warmed against" | | 14 | "They moved deeper." | | 15 | "Aurora’s boots sank into moss" | | 16 | "Isolde left none at all." | | 17 | "Nyx’s passing only dimmed the" | | 18 | "A low stone circle rose" | | 19 | "She reached out." |
| | ratio | 0.856 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 20.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 7 | | matches | | 0 | "Isolde Varga walked last, silver hair catching light that had no single source." | | 1 | "The crimson gem warmed against her palm, faint glow answering a thicket of grafted vines that crossed the path." | | 2 | "Grapes the size of fists clustered just beyond the opening, skins glistening with dew that smelled of roasted spice and old blood." | | 3 | "Aurora followed, boots crunching faint crystals of frost that formed and melted of their own accord." | | 4 | "Nyx’s silhouette stretched toward the light as if drawn by invisible hooks." | | 5 | "Isolde halted behind them both, lavender eyes reflecting nothing of the feast that spilled into view." | | 6 | "Helbound souls in chef whites moved between them, plating dishes that steamed with colours Aurora had no words for." |
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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 | |