| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 94.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1899 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1899 | | totalAiIsms | 47 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | word | "carried the weight" | | count | 1 |
| | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "pulse" | | 1 | "crystallized" | | 2 | "whisper" | | 3 | "velvet" | | 4 | "silence" | | 5 | "fractured" | | 6 | "kaleidoscope" | | 7 | "pulsed" | | 8 | "warmth" | | 9 | "echoed" | | 10 | "vibrated" | | 11 | "footsteps" | | 12 | "resonance" | | 13 | "weight" | | 14 | "echo" | | 15 | "echoes" | | 16 | "shimmered" | | 17 | "carried the weight" | | 18 | "silk" | | 19 | "synchronized" | | 20 | "scanned" |
| |
| 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 | 393 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 393 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 393 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 15 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1899 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 104 | | wordCount | 1899 | | uniqueNames | 20 | | maxNameDensity | 0.9 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "You" | | discoveredNames | | London | 2 | | Heartstone | 2 | | Fae-Forged | 1 | | Blade | 1 | | Veil | 4 | | Courts | 2 | | Isolde | 8 | | Half-Fae | 3 | | Fae | 5 | | Rory | 17 | | Fingers | 3 | | Nyx | 12 | | Violet | 6 | | Warmth | 4 | | Silver | 5 | | Time | 3 | | You | 14 | | Shadow | 6 | | Keep | 3 | | Lavender | 3 |
| | persons | | 0 | "Blade" | | 1 | "Veil" | | 2 | "Isolde" | | 3 | "Half-Fae" | | 4 | "Fae" | | 5 | "Rory" | | 6 | "Fingers" | | 7 | "Nyx" | | 8 | "Violet" | | 9 | "Warmth" | | 10 | "Time" | | 11 | "You" | | 12 | "Lavender" |
| | places | | 0 | "London" | | 1 | "Courts" | | 2 | "Silver" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 126 | | 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 | 1899 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 393 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 33.91 | | std | 27.9 | | cv | 0.823 | | sampleLengths | | 0 | 50 | | 1 | 49 | | 2 | 4 | | 3 | 24 | | 4 | 5 | | 5 | 9 | | 6 | 72 | | 7 | 16 | | 8 | 10 | | 9 | 49 | | 10 | 5 | | 11 | 56 | | 12 | 11 | | 13 | 12 | | 14 | 3 | | 15 | 34 | | 16 | 23 | | 17 | 23 | | 18 | 7 | | 19 | 37 | | 20 | 59 | | 21 | 5 | | 22 | 26 | | 23 | 62 | | 24 | 6 | | 25 | 58 | | 26 | 9 | | 27 | 53 | | 28 | 2 | | 29 | 21 | | 30 | 49 | | 31 | 8 | | 32 | 34 | | 33 | 28 | | 34 | 53 | | 35 | 4 | | 36 | 15 | | 37 | 31 | | 38 | 65 | | 39 | 1 | | 40 | 34 | | 41 | 29 | | 42 | 80 | | 43 | 10 | | 44 | 98 | | 45 | 67 | | 46 | 1 | | 47 | 73 | | 48 | 3 | | 49 | 64 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 393 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 379 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 393 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1905 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.011548556430446194 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.003674540682414698 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 393 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 393 | | mean | 4.83 | | std | 2.38 | | cv | 0.494 | | sampleLengths | | 0 | 12 | | 1 | 6 | | 2 | 9 | | 3 | 8 | | 4 | 7 | | 5 | 3 | | 6 | 5 | | 7 | 7 | | 8 | 8 | | 9 | 6 | | 10 | 8 | | 11 | 5 | | 12 | 15 | | 13 | 4 | | 14 | 8 | | 15 | 11 | | 16 | 5 | | 17 | 5 | | 18 | 6 | | 19 | 3 | | 20 | 3 | | 21 | 10 | | 22 | 12 | | 23 | 3 | | 24 | 13 | | 25 | 3 | | 26 | 13 | | 27 | 13 | | 28 | 2 | | 29 | 5 | | 30 | 6 | | 31 | 5 | | 32 | 4 | | 33 | 6 | | 34 | 5 | | 35 | 7 | | 36 | 4 | | 37 | 4 | | 38 | 5 | | 39 | 5 | | 40 | 4 | | 41 | 7 | | 42 | 8 | | 43 | 5 | | 44 | 10 | | 45 | 9 | | 46 | 7 | | 47 | 7 | | 48 | 7 | | 49 | 9 |
| |
| 28.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 83 | | diversityRatio | 0.22900763358778625 | | totalSentences | 393 | | uniqueOpeners | 90 | |
| 39.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 339 | | matches | | 0 | "Light fractured overhead." | | 1 | "Only the light remained." | | 2 | "Only the warmth remained." | | 3 | "Only the descent." |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 86 | | totalSentences | 339 | | matches | | 0 | "It expects us to walk." | | 1 | "She stepped past the first" | | 2 | "It carried crushed mint, blooming" | | 3 | "It stretches thin as onion" | | 4 | "She needed the anchor." | | 5 | "She pulled it out." | | 6 | "It is reacting to something." | | 7 | "It hungers for the other" | | 8 | "You cross the water." | | 9 | "You do not fight the" | | 10 | "You ride it." | | 11 | "They evaporate for the careless." | | 12 | "They pool for the observant." | | 13 | "You carry the knife from" | | 14 | "It cuts the heavy air." | | 15 | "It slices the old wards." | | 16 | "They occupy the same seat." | | 17 | "She walked ahead." | | 18 | "They pulsed in time with" | | 19 | "She held the crimson gem" |
| | ratio | 0.254 | |
| 7.20% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 307 | | totalSentences | 339 | | matches | | 0 | "The ancient oaks rose like" | | 1 | "Rory stopped before the moss-choked" | | 2 | "Fingers brushed the crescent scar" | | 3 | "The silver chain at her" | | 4 | "The Heartstone pendant warmed against" | | 5 | "A faint pulse." | | 6 | "Rhythm matched her own heartbeat." | | 7 | "Nyx materialized from the alley" | | 8 | "Violet light burned in hollow" | | 9 | "The air around the shade" | | 10 | "Frost crystallized on the pavement." | | 11 | "The whisper came first, carried" | | 12 | "The threshold expects blood." | | 13 | "Rory adjusted the strap of" | | 14 | "The Fae-Forged Blade pressed cold" | | 15 | "Moonsilver hummed against the fabric." | | 16 | "It expects us to walk." | | 17 | "She stepped past the first" | | 18 | "The world inverted." | | 19 | "London fell away." |
| | ratio | 0.906 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 339 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | 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 | |