| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.714 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1097 | | totalAiIsmAdverbs | 1 | | 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 | 1097 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "rhythmic" | | 1 | "throb" | | 2 | "synchronized" | | 3 | "warmth" | | 4 | "flickered" | | 5 | "silence" | | 6 | "weight" | | 7 | "stomach" | | 8 | "shimmered" | | 9 | "mechanical" | | 10 | "crystallized" | | 11 | "porcelain" | | 12 | "crystalline" | | 13 | "echoing" | | 14 | "scanning" | | 15 | "oppressive" | | 16 | "constructed" | | 17 | "pulsed" | | 18 | "marble" | | 19 | "searing" |
| |
| 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 | 78 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1097 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1010 | | uniqueNames | 11 | | maxNameDensity | 1.58 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 2 | | Rory | 16 | | Nyx | 8 | | Richmond | 1 | | Park | 1 | | Shade | 2 | | Golden | 1 | | Empress | 1 | | Fae-Forged | 1 | | Veil | 1 | | Fae | 2 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" |
| | globalScore | 0.708 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 5 | | matches | | 0 | "looked like translucent gemstones, pulsin" | | 1 | "humming that seemed to vibrate in her teeth" | | 2 | "looked like carved bone" | | 3 | "looked like a cross between a pig and a p" | | 4 | "looked like hardened honey, translucent a" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1097 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 34.28 | | std | 23.16 | | cv | 0.676 | | sampleLengths | | 0 | 50 | | 1 | 5 | | 2 | 59 | | 3 | 12 | | 4 | 57 | | 5 | 11 | | 6 | 76 | | 7 | 30 | | 8 | 17 | | 9 | 64 | | 10 | 18 | | 11 | 5 | | 12 | 54 | | 13 | 10 | | 14 | 39 | | 15 | 29 | | 16 | 13 | | 17 | 67 | | 18 | 6 | | 19 | 40 | | 20 | 68 | | 21 | 22 | | 22 | 31 | | 23 | 54 | | 24 | 62 | | 25 | 21 | | 26 | 11 | | 27 | 8 | | 28 | 74 | | 29 | 13 | | 30 | 19 | | 31 | 52 |
| |
| 87.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 78 | | matches | | 0 | "were oversized" | | 1 | "were constructed" | | 2 | "being fed" | | 3 | "were adorned" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 167 | | matches | | |
| 3.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 4 | | flaggedSentences | 4 | | totalSentences | 82 | | ratio | 0.049 | | matches | | 0 | "It wasn't the usual craving for a late-night snack after a shift at the Golden Empress; it was a predatory ache, a hollow longing that made her mouth water and her head swim." | | 1 | "It didn't attack; it simply stared, its nostrils flaring as it caught Rory's scent." | | 2 | "The weapon didn't just cut flesh; it sheared through the creature's essence." | | 3 | "They weren't eating; they were being fed." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1015 | | adjectiveStacks | 1 | | stackExamples | | 0 | "needle-thin, translucent teeth." |
| | adverbCount | 23 | | adverbRatio | 0.022660098522167486 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006896551724137931 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 13.38 | | std | 6.01 | | cv | 0.45 | | sampleLengths | | 0 | 15 | | 1 | 16 | | 2 | 19 | | 3 | 5 | | 4 | 4 | | 5 | 20 | | 6 | 15 | | 7 | 20 | | 8 | 12 | | 9 | 3 | | 10 | 17 | | 11 | 21 | | 12 | 16 | | 13 | 11 | | 14 | 11 | | 15 | 24 | | 16 | 13 | | 17 | 28 | | 18 | 11 | | 19 | 19 | | 20 | 13 | | 21 | 4 | | 22 | 2 | | 23 | 8 | | 24 | 33 | | 25 | 21 | | 26 | 8 | | 27 | 10 | | 28 | 5 | | 29 | 13 | | 30 | 11 | | 31 | 13 | | 32 | 17 | | 33 | 10 | | 34 | 8 | | 35 | 3 | | 36 | 12 | | 37 | 16 | | 38 | 12 | | 39 | 17 | | 40 | 7 | | 41 | 6 | | 42 | 19 | | 43 | 14 | | 44 | 14 | | 45 | 20 | | 46 | 6 | | 47 | 12 | | 48 | 11 | | 49 | 17 |
| |
| 50.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3780487804878049 | | totalSentences | 82 | | uniqueOpeners | 31 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 73 | | matches | | 0 | "Instead of water, it spewed" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 73 | | matches | | 0 | "She gripped the hilt of" | | 1 | "They stepped through the threshold." | | 2 | "She didn't stand on soil," | | 3 | "She walked forward, her boots" | | 4 | "It wasn't the usual craving" | | 5 | "She looked at the golden" | | 6 | "She tightened her grip on" | | 7 | "They climbed a ridge of" | | 8 | "They weren't guests." | | 9 | "They wore heavy iron collars" | | 10 | "They carried massive silver trays" | | 11 | "Its skin was a glossy," | | 12 | "It didn't attack; it simply" | | 13 | "It let out a low," | | 14 | "It turned its ruby eyes" | | 15 | "She stepped forward, the moonsilver" | | 16 | "They continued their descent toward" | | 17 | "They weren't eating; they were" | | 18 | "They looked blissful, their eyes" | | 19 | "He didn't look at them" |
| | ratio | 0.288 | |
| 49.04% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 73 | | matches | | 0 | "The Heartstone pendant burned against" | | 1 | "She gripped the hilt of" | | 2 | "They stepped through the threshold." | | 3 | "The air shifted instantly." | | 4 | "The damp, earthy scent of" | | 5 | "Rory blinked, her blue eyes" | | 6 | "Amber light flooded the horizon," | | 7 | "Nyx whispered, the sound a" | | 8 | "Rory looked down." | | 9 | "She didn't stand on soil," | | 10 | "She walked forward, her boots" | | 11 | "The silence was absolute, save" | | 12 | "The gem-fruit trees gave way" | | 13 | "Nyx glided ahead, their form" | | 14 | "The Shade paused by a" | | 15 | "Nyx murmured, their violet eyes" | | 16 | "A sudden, sharp void opened" | | 17 | "It wasn't the usual craving" | | 18 | "She looked at the golden" | | 19 | "She tightened her grip on" |
| | ratio | 0.822 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | 0 | "To their left, a grove" |
| | ratio | 0.014 | |
| 32.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 8 | | matches | | 0 | "The Heartstone pendant burned against Rory’s skin, a rhythmic throb that synchronized with her heartbeat." | | 1 | "To their left, a grove of trees bore fruit that looked like translucent gemstones, pulsing with a soft, internal neon light." | | 2 | "The silence was absolute, save for the distant, melodic chime of bells and a low, rhythmic humming that seemed to vibrate in her teeth." | | 3 | "The Shade paused by a stream of liquid silver that flowed uphill, defying gravity in a slow, undulating spiral." | | 4 | "It wasn't the usual craving for a late-night snack after a shift at the Golden Empress; it was a predatory ache, a hollow longing that made her mouth water and …" | | 5 | "Sprawling orchards of silver-leafed trees surrounded ivory pavilions that looked like carved bone." | | 6 | "Long tables stretched for miles, laden with platters of steaming delicacies that shimmered with an unnatural luster." | | 7 | "The buildings were constructed from a material that looked like hardened honey, translucent and sticky to the touch." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 4 | | matches | | 0 | "Nyx murmured, their violet eyes glowing brighter" | | 1 | "Nyx whispered, their voice barely a ripple in the air" | | 2 | "Nyx reappeared, their violet eyes scanning the horizon" | | 3 | "Rory asked, her voice trembling" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "Rory muttered (mutter)" | | 2 | "Nyx murmured (murmur)" | | 3 | "Nyx whispered (whisper)" |
| | dialogueSentences | 14 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.571 | | effectiveRatio | 0.571 | |