| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.351 | | leniency | 0.703 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1637 | | 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) | |
| 17.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1637 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | word | "the last thing" | | count | 1 |
|
| | highlights | | 0 | "pulse" | | 1 | "pulsed" | | 2 | "loomed" | | 3 | "fluttered" | | 4 | "warmth" | | 5 | "tracing" | | 6 | "whisper" | | 7 | "quivered" | | 8 | "trembled" | | 9 | "dance" | | 10 | "shattered" | | 11 | "flicked" | | 12 | "raced" | | 13 | "echoed" | | 14 | "flicker" | | 15 | "stomach" | | 16 | "flickered" | | 17 | "the last thing" |
| |
| 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 | 229 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 229 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 253 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 15 | | markdownWords | 19 | | totalWords | 1629 | | ratio | 0.012 | | matches | | 0 | "pressure" | | 1 | "You shouldn’t be here." | | 2 | "between" | | 3 | "moved" | | 4 | "quite" | | 5 | "Delivery route" | | 6 | "presence" | | 7 | "hunger" | | 8 | "feed" | | 9 | "need" | | 10 | "Throbbing" | | 11 | "choosing" | | 12 | "moved" | | 13 | "its" | | 14 | "breathed" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1424 | | uniqueNames | 16 | | maxNameDensity | 1.97 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 1 | | Pendant | 1 | | Silas | 2 | | Eva | 6 | | Park | 1 | | October | 1 | | Fae | 1 | | Grove | 1 | | Rory | 28 | | Hel | 2 | | Borough | 1 | | Market | 1 | | Best | 1 | | Golden | 1 | | Empress | 1 | | London | 1 |
| | persons | | 0 | "Pendant" | | 1 | "Silas" | | 2 | "Eva" | | 3 | "October" | | 4 | "Rory" | | 5 | "Best" |
| | places | | 0 | "Park" | | 1 | "Fae" | | 2 | "Grove" | | 3 | "Borough" | | 4 | "Market" | | 5 | "London" |
| | globalScore | 0.517 | | windowScore | 0.5 | |
| 93.82% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like pursuers was doing so from ou" | | 1 | "as if testing then rejecting the air" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1629 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 253 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 119 | | mean | 13.69 | | std | 10.58 | | cv | 0.773 | | sampleLengths | | 0 | 65 | | 1 | 6 | | 2 | 23 | | 3 | 24 | | 4 | 27 | | 5 | 18 | | 6 | 13 | | 7 | 48 | | 8 | 6 | | 9 | 7 | | 10 | 1 | | 11 | 40 | | 12 | 14 | | 13 | 22 | | 14 | 3 | | 15 | 55 | | 16 | 4 | | 17 | 15 | | 18 | 3 | | 19 | 18 | | 20 | 4 | | 21 | 4 | | 22 | 31 | | 23 | 14 | | 24 | 14 | | 25 | 36 | | 26 | 10 | | 27 | 5 | | 28 | 30 | | 29 | 11 | | 30 | 18 | | 31 | 14 | | 32 | 16 | | 33 | 4 | | 34 | 18 | | 35 | 7 | | 36 | 3 | | 37 | 4 | | 38 | 32 | | 39 | 10 | | 40 | 13 | | 41 | 4 | | 42 | 15 | | 43 | 15 | | 44 | 7 | | 45 | 2 | | 46 | 25 | | 47 | 7 | | 48 | 11 | | 49 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 229 | | matches | | 0 | "was gone" | | 1 | "were blurred" | | 2 | "were—glowed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 272 | | matches | | |
| 63.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 253 | | ratio | 0.028 | | matches | | 0 | "The strap of her delivery bag—left behind in Silas’s office—slipped from her shoulder and thudded against the undergrowth." | | 1 | "Three paces in, she spotted the first anomaly—a fox, too large, its pelt matted with something darker than blood, took two steps then froze, sniffing the air." | | 2 | "Its eyes—if eyes they were—glowed a sickly yellow." | | 3 | "The oldest oak, the one at the grove’s centre—its branches twisted violently, bark splitting like old leather." | | 4 | "She blinked—and her vision doubled." | | 5 | "The pendant in her hand flared violet—*its* colour draining, consumed." | | 6 | "Darkness yawned below—no end, no light." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1434 | | adjectiveStacks | 1 | | stackExamples | | 0 | "lay broken against it." |
| | adverbCount | 54 | | adverbRatio | 0.03765690376569038 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.01394700139470014 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 253 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 253 | | mean | 6.44 | | std | 4.8 | | cv | 0.745 | | sampleLengths | | 0 | 25 | | 1 | 25 | | 2 | 15 | | 3 | 6 | | 4 | 6 | | 5 | 2 | | 6 | 4 | | 7 | 4 | | 8 | 1 | | 9 | 6 | | 10 | 2 | | 11 | 18 | | 12 | 4 | | 13 | 21 | | 14 | 6 | | 15 | 5 | | 16 | 2 | | 17 | 11 | | 18 | 13 | | 19 | 17 | | 20 | 16 | | 21 | 15 | | 22 | 5 | | 23 | 1 | | 24 | 7 | | 25 | 1 | | 26 | 19 | | 27 | 4 | | 28 | 3 | | 29 | 14 | | 30 | 3 | | 31 | 11 | | 32 | 7 | | 33 | 15 | | 34 | 3 | | 35 | 3 | | 36 | 3 | | 37 | 13 | | 38 | 27 | | 39 | 9 | | 40 | 3 | | 41 | 1 | | 42 | 4 | | 43 | 2 | | 44 | 2 | | 45 | 7 | | 46 | 3 | | 47 | 3 | | 48 | 2 | | 49 | 13 |
| |
| 46.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.3241106719367589 | | totalSentences | 253 | | uniqueOpeners | 82 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 187 | | matches | | 0 | "Too many legs adjusting in" | | 1 | "Then it spoke." | | 2 | "Then it melted into the" | | 3 | "Then, from the blackest corner" | | 4 | "All identical in posture." | | 5 | "Too many joints." | | 6 | "Just a void that *breathed*." |
| | ratio | 0.037 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 187 | | matches | | 0 | "She stepped over the moss-slick" | | 1 | "Her breath stuttered to a" | | 2 | "She didn’t turn around." | | 3 | "she muttered, fingers brushing the" | | 4 | "Her pulse hammered against her" | | 5 | "She adjusted the collar of" | | 6 | "She’d crossed the boundary." | | 7 | "She was in." | | 8 | "She stepped forward." | | 9 | "Its eyes, when they met" | | 10 | "Its breath came in slow," | | 11 | "*You shouldn’t be here.*" | | 12 | "She could almost parse the" | | 13 | "It thrummed against her touch," | | 14 | "he’d rasped, coughing into his" | | 15 | "It tasted of copper and" | | 16 | "She didn’t look down." | | 17 | "Their petals trembled, syncopated." | | 18 | "Her pulse jumped." | | 19 | "She wasn’t lost." |
| | ratio | 0.267 | |
| 61.60% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 149 | | totalSentences | 187 | | matches | | 0 | "She stepped over the moss-slick" | | 1 | "The moment her heel cleared" | | 2 | "A scent of wet earth" | | 3 | "Her breath stuttered to a" | | 4 | "A twig snapped somewhere behind" | | 5 | "The rhythm was wrong." | | 6 | "The strap of her delivery" | | 7 | "She didn’t turn around." | | 8 | "she muttered, fingers brushing the" | | 9 | "The words came out steady." | | 10 | "Her pulse hammered against her" | | 11 | "The pendant against her chest" | | 12 | "She adjusted the collar of" | | 13 | "Richmond Park in late October" | | 14 | "The wildflowers here glowed faintly" | | 15 | "The second twig snapped louder." | | 16 | "Rory exhaled through her nose" | | 17 | "The standing stones loomed behind" | | 18 | "She’d crossed the boundary." | | 19 | "She was in." |
| | ratio | 0.797 | |
| 26.74% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 187 | | matches | | 0 | "Because Eva would lock her" |
| | ratio | 0.005 | |
| 73.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 4 | | matches | | 0 | "The moment her heel cleared the threshold, the air thickened, pressing against her skin like damp wool infused with crushed green things that weren’t leaves." | | 1 | "A wave of sound that bypassed her ears and thrummed inside her skull." | | 2 | "The ground beneath her feet felt alive, shifting minutely, as if something beneath the earth breathed." | | 3 | "They’d rooted deeper, their stems thickening, inching toward her like fingers." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 6 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "she murmured (murmur)" | | 3 | "she breathed (breathe)" | | 4 | "she spat (spit)" | | 5 | "it whispered (whisper)" |
| | dialogueSentences | 37 | | tagDensity | 0.297 | | leniency | 0.595 | | rawRatio | 0.545 | | effectiveRatio | 0.324 | |