| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1185 | | 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) | |
| 7.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1185 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "velvet" | | 1 | "pulse" | | 2 | "throb" | | 3 | "weight" | | 4 | "warmth" | | 5 | "echo" | | 6 | "resonated" | | 7 | "silence" | | 8 | "shimmered" | | 9 | "pulsed" | | 10 | "tracing" | | 11 | "vibrated" | | 12 | "flickered" | | 13 | "desire" | | 14 | "unreadable" | | 15 | "gloom" | | 16 | "scanned" | | 17 | "echoed" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 143 | | matches | (empty) | |
| 82.92% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 1 | | narrationSentences | 143 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1184 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 22 | | matches | | 0 | "The ground drinks the weight, Nyx whispered." | | 1 | "You bring the cold iron into a place of warmth, Isolde said." | | 2 | "We need to see the tear, Aurora replied." | | 3 | "Time feels wrong, Nyx said." | | 4 | "Minutes outside could be hours here, Isolde said without turning." | | 5 | "It is thin, Isolde said." | | 6 | "The Wardens watch the cities, Aurora said." | | 7 | "They watch the places men build, Isolde corrected." | | 8 | "It burns, Nyx said." | | 9 | "Not fire, Aurora said." | | 10 | "Gluttony, Isolde murmured." | | 11 | "They are feeding, Aurora said." | | 12 | "The Fae Courts do not feed on souls, Isolde said." | | 13 | "The Grove reacts, Isolde said." | | 14 | "We are not welcome, Nyx said." | | 15 | "We are here to stop the leak, Aurora said." | | 16 | "The Veil cannot hold forever, Isolde said." | | 17 | "Then we reinforce it, Aurora said." | | 18 | "You cannot patch a hole in the sky with a stone, Isolde said." | | 19 | "The path is gone, Nyx said." | | 20 | "We move forward, Aurora said." | | 21 | "Then we break the bars, Aurora said." |
| |
| 48.65% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 72 | | wordCount | 1184 | | uniqueNames | 16 | | maxNameDensity | 2.03 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 24 | | Nyx | 13 | | Fae-Forged | 2 | | Blade | 1 | | Half-Fae | 1 | | Isolde | 12 | | Veil | 3 | | Heartstone | 1 | | Pendant | 1 | | Wardens | 2 | | Dymas | 1 | | Fae | 4 | | Courts | 1 | | Hel | 1 | | Grove | 2 | | You | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Nyx" | | 2 | "Blade" | | 3 | "Isolde" | | 4 | "Veil" | | 5 | "Pendant" | | 6 | "Wardens" | | 7 | "Courts" | | 8 | "Hel" | | 9 | "Grove" | | 10 | "You" |
| | places | (empty) | | globalScore | 0.486 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 102 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like dry leaves skittering on pave" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1184 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 143 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 25.19 | | std | 14.58 | | cv | 0.579 | | sampleLengths | | 0 | 62 | | 1 | 46 | | 2 | 33 | | 3 | 20 | | 4 | 16 | | 5 | 54 | | 6 | 37 | | 7 | 23 | | 8 | 19 | | 9 | 46 | | 10 | 40 | | 11 | 23 | | 12 | 24 | | 13 | 17 | | 14 | 47 | | 15 | 26 | | 16 | 26 | | 17 | 14 | | 18 | 18 | | 19 | 35 | | 20 | 19 | | 21 | 4 | | 22 | 7 | | 23 | 52 | | 24 | 7 | | 25 | 33 | | 26 | 12 | | 27 | 16 | | 28 | 18 | | 29 | 29 | | 30 | 21 | | 31 | 19 | | 32 | 6 | | 33 | 25 | | 34 | 23 | | 35 | 21 | | 36 | 28 | | 37 | 27 | | 38 | 14 | | 39 | 6 | | 40 | 26 | | 41 | 18 | | 42 | 16 | | 43 | 11 | | 44 | 7 | | 45 | 66 | | 46 | 27 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 143 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 231 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 143 | | ratio | 0.014 | | matches | | 0 | "She did not walk; she drifted, leaving no disturbance in the wildflowers that bloomed in every season at once." | | 1 | "It rippled with colors that hurt the eyes—indigo, burnt orange, a violet that didn’t exist in the spectrum." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1192 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.026845637583892617 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006711409395973154 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 8.28 | | std | 4.08 | | cv | 0.493 | | sampleLengths | | 0 | 17 | | 1 | 14 | | 2 | 4 | | 3 | 14 | | 4 | 13 | | 5 | 13 | | 6 | 7 | | 7 | 26 | | 8 | 7 | | 9 | 14 | | 10 | 12 | | 11 | 5 | | 12 | 7 | | 13 | 8 | | 14 | 7 | | 15 | 9 | | 16 | 11 | | 17 | 10 | | 18 | 5 | | 19 | 11 | | 20 | 17 | | 21 | 9 | | 22 | 10 | | 23 | 6 | | 24 | 12 | | 25 | 12 | | 26 | 11 | | 27 | 8 | | 28 | 7 | | 29 | 4 | | 30 | 7 | | 31 | 2 | | 32 | 7 | | 33 | 19 | | 34 | 5 | | 35 | 6 | | 36 | 2 | | 37 | 10 | | 38 | 7 | | 39 | 3 | | 40 | 3 | | 41 | 15 | | 42 | 5 | | 43 | 18 | | 44 | 4 | | 45 | 7 | | 46 | 4 | | 47 | 9 | | 48 | 10 | | 49 | 2 |
| |
| 32.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 25 | | diversityRatio | 0.1888111888111888 | | totalSentences | 143 | | uniqueOpeners | 27 | |
| 71.94% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 139 | | matches | | 0 | "Only the sound of their" | | 1 | "Then we reinforce it, Aurora" | | 2 | "Then we break the bars," |
| | ratio | 0.022 | |
| 96.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 139 | | matches | | 0 | "Her heart hammered against her" | | 1 | "She touched the silver chain," | | 2 | "It beat in time with" | | 3 | "She drew it an inch." | | 4 | "It glowed faintly in the" | | 5 | "You bring the cold iron" | | 6 | "Her voice carried no echo," | | 7 | "We need to see the" | | 8 | "She kept the blade sheathed" | | 9 | "She did not walk; she" | | 10 | "They paused to look at" | | 11 | "She shook her wrist." | | 12 | "They reached a clearing where" | | 13 | "It rippled with colors that" | | 14 | "It is thin, Isolde said." | | 15 | "She raised a hand, her" | | 16 | "They watch the cracks in" | | 17 | "They watch the places men" | | 18 | "They do not watch the" | | 19 | "She felt the pull of" |
| | ratio | 0.309 | |
| 3.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 127 | | totalSentences | 139 | | matches | | 0 | "The standing stones rose from" | | 1 | "Aurora stepped across the threshold," | | 2 | "The air shifted instantly." | | 3 | "London’s smog and exhaust vanished," | | 4 | "Her heart hammered against her" | | 5 | "Nyx flowed over the boundary" | | 6 | "Violet eyes narrowed against the" | | 7 | "The light here did not" | | 8 | "The pendant at Aurora’s throat" | | 9 | "She touched the silver chain," | | 10 | "It beat in time with" | | 11 | "Nyx stopped, their form rippling." | | 12 | "The shadow-creature looked down at" | | 13 | "The ground drinks the weight," | | 14 | "The voice sounded like dry" | | 15 | "Aurora gripped the hilt of" | | 16 | "The moonsilver felt cold, leaching" | | 17 | "She drew it an inch." | | 18 | "The blade hummed, a low" | | 19 | "It glowed faintly in the" |
| | ratio | 0.914 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 139 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 2 | | matches | | 0 | "The light here did not come from the sun but from the leaves themselves, a soft, bioluminescent pulse that turned the canopy into a stained-glass ceiling." | | 1 | "Only the sound of their breathing and the rustle of leaves that moved without wind." |
| |
| 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 | |