| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1673 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "suddenly" |
| |
| 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) | |
| 31.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1673 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "pulsed" | | 1 | "rhythmic" | | 2 | "resonated" | | 3 | "traced" | | 4 | "perfect" | | 5 | "silence" | | 6 | "scanned" | | 7 | "sentinels" | | 8 | "dance" | | 9 | "sense of" | | 10 | "weight" | | 11 | "velvet" | | 12 | "crystalline" | | 13 | "searing" | | 14 | "could feel" | | 15 | "shattered" | | 16 | "electric" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 139 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 12 | | narrationSentences | 139 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" | | 2 | "began to" |
| |
| 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 | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1663 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1628 | | uniqueNames | 13 | | maxNameDensity | 0.55 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Aurora | 9 | | London | 2 | | Golden | 1 | | Empress | 1 | | Heartstone | 5 | | Cardiff | 2 | | British | 1 | | Grove | 8 | | Hel | 1 | | Evan | 1 | | Carter | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Empress" | | 2 | "Heartstone" | | 3 | "Grove" | | 4 | "Evan" | | 5 | "Carter" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 29.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 104 | | glossingSentenceCount | 5 | | matches | | 0 | "felt like it might crush her ribs" | | 1 | "limbs that seemed to have too many joints" | | 2 | "felt like dozens of eyes were opening i" | | 3 | "felt like running through waist-deep wa" | | 4 | "something like a hand—reaching out for the b" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1663 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 143 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 37.8 | | std | 23.47 | | cv | 0.621 | | sampleLengths | | 0 | 82 | | 1 | 86 | | 2 | 72 | | 3 | 73 | | 4 | 74 | | 5 | 37 | | 6 | 51 | | 7 | 37 | | 8 | 16 | | 9 | 47 | | 10 | 44 | | 11 | 48 | | 12 | 3 | | 13 | 37 | | 14 | 8 | | 15 | 15 | | 16 | 58 | | 17 | 23 | | 18 | 61 | | 19 | 35 | | 20 | 15 | | 21 | 56 | | 22 | 48 | | 23 | 59 | | 24 | 17 | | 25 | 3 | | 26 | 1 | | 27 | 38 | | 28 | 13 | | 29 | 36 | | 30 | 55 | | 31 | 55 | | 32 | 32 | | 33 | 37 | | 34 | 4 | | 35 | 49 | | 36 | 7 | | 37 | 37 | | 38 | 34 | | 39 | 24 | | 40 | 33 | | 41 | 6 | | 42 | 15 | | 43 | 82 |
| |
| 90.12% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 139 | | matches | | 0 | "been locked" | | 1 | "been filtered" | | 2 | "been given" | | 3 | "was severed" | | 4 | "was gone" | | 5 | "was gone" |
| |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 11 | | totalVerbs | 277 | | matches | | 0 | "was demanding" | | 1 | "was twitching" | | 2 | "was burning" | | 3 | "was reacting" | | 4 | "was turning" | | 5 | "was screaming" | | 6 | "were opening" | | 7 | "was stretching" | | 8 | "was keeping" | | 9 | "was glowing" | | 10 | "was ticking" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 3 | | flaggedSentences | 11 | | totalSentences | 143 | | ratio | 0.077 | | matches | | 0 | "It had started the moment she stepped off the red-eye bus near the park's edge—a low, thrumming vibration that resonated in her teeth." | | 1 | "Foxgloves stood tall and turgid, their bells heavy with a nectar that smelled cloying and sweet—too sweet, like sugar left to rot in the sun." | | 2 | "It didn't just fade; it was severed." | | 3 | "The distant hum of the A3, the wind in the upper branches, the rustle of her own nylon jacket—all of it vanished into an absolute, pressurized silence." | | 4 | "The pendant wasn't just warm now; it was burning." | | 5 | "Her instinct—the one that had kept her safe during the worst years with Evan, the one that told her when a situation was turning from bad to lethal—was screaming at her to leave." | | 6 | "From the darkness behind her came a sound—a soft, wet slither, like a snake moving over velvet." | | 7 | "She fixed her eyes on the gap between the two largest oaks—the way out." | | 8 | "It didn't run; it drifted, its feet never quite touching the flowers." | | 9 | "She could feel a hand—or something like a hand—reaching out for the back of her jacket." | | 10 | "Suddenly, the roar of London rushed back in—the distant whine of a police siren, the hum of the city, the wind whistling through the dry winter branches of Richmond Park." |
| |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1646 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, crescent-shaped scar" | | 1 | "heavier, pressing against her" |
| | adverbCount | 57 | | adverbRatio | 0.03462940461725395 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.009720534629404616 | |
| 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 | 11.63 | | std | 8.29 | | cv | 0.713 | | sampleLengths | | 0 | 36 | | 1 | 14 | | 2 | 32 | | 3 | 6 | | 4 | 37 | | 5 | 20 | | 6 | 23 | | 7 | 9 | | 8 | 8 | | 9 | 6 | | 10 | 12 | | 11 | 7 | | 12 | 30 | | 13 | 13 | | 14 | 15 | | 15 | 17 | | 16 | 28 | | 17 | 18 | | 18 | 5 | | 19 | 26 | | 20 | 25 | | 21 | 7 | | 22 | 6 | | 23 | 20 | | 24 | 4 | | 25 | 17 | | 26 | 7 | | 27 | 27 | | 28 | 2 | | 29 | 19 | | 30 | 4 | | 31 | 12 | | 32 | 3 | | 33 | 9 | | 34 | 4 | | 35 | 29 | | 36 | 3 | | 37 | 3 | | 38 | 11 | | 39 | 1 | | 40 | 3 | | 41 | 21 | | 42 | 9 | | 43 | 6 | | 44 | 2 | | 45 | 3 | | 46 | 5 | | 47 | 11 | | 48 | 18 | | 49 | 4 |
| |
| 36.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.24475524475524477 | | totalSentences | 143 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 131 | | matches | | 0 | "Then, she saw them: the" | | 1 | "Only the silence, which seemed" | | 2 | "Then, a voice." | | 3 | "Suddenly, the roar of London" | | 4 | "Just the dark, cold expanse" |
| | ratio | 0.038 | |
| 36.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 60 | | totalSentences | 131 | | matches | | 0 | "She stepped through the veil" | | 1 | "She wasn't supposed to be" | | 2 | "It pulsed against her sternum," | | 3 | "It had started the moment" | | 4 | "She traced the thumbnail-sized gem" | | 5 | "It was warm, bordering on" | | 6 | "Her father, the barrister back" | | 7 | "Her mother would have called" | | 8 | "She pulled her coat tighter," | | 9 | "It was a nervous habit," | | 10 | "She moved toward the coordinates" | | 11 | "They didn't grow like normal" | | 12 | "They stood in a perfect," | | 13 | "It didn't just fade; it" | | 14 | "She took a breath, and" | | 15 | "She checked her watch." | | 16 | "She focused on her breathing," | | 17 | "She was intelligent." | | 18 | "She was analytical." | | 19 | "It was reacting to something" |
| | ratio | 0.458 | |
| 70.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 102 | | totalSentences | 131 | | matches | | 0 | "The iron gates of Richmond" | | 1 | "She stepped through the veil" | | 2 | "The air in London was" | | 3 | "She wasn't supposed to be" | | 4 | "A delivery person for the" | | 5 | "It pulsed against her sternum," | | 6 | "It had started the moment" | | 7 | "Aurora reached up, her fingers" | | 8 | "She traced the thumbnail-sized gem" | | 9 | "It was warm, bordering on" | | 10 | "Her father, the barrister back" | | 11 | "Her mother would have called" | | 12 | "The further she walked, the" | | 13 | "The orange glow of the" | | 14 | "She pulled her coat tighter," | | 15 | "It was a nervous habit," | | 16 | "She moved toward the coordinates" | | 17 | "The path began to change." | | 18 | "The manicured grass gave way" | | 19 | "Foxgloves stood tall and turgid," |
| | ratio | 0.779 | |
| 38.17% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 131 | | matches | | 0 | "To her left, something shifted." |
| | ratio | 0.008 | |
| 62.37% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 71 | | technicalSentenceCount | 8 | | matches | | 0 | "The iron gates of Richmond Park had long been locked, but Aurora knew the places where the perimeter humped over ancient roots, creating gaps just wide enough f…" | | 1 | "It pulsed against her sternum, a rhythmic, insistent heat that felt less like jewelry and more like a second heartbeat." | | 2 | "It had started the moment she stepped off the red-eye bus near the park's edge—a low, thrumming vibration that resonated in her teeth." | | 3 | "But Aurora, who had spent the last year learning that the world was far wider and stranger than a law textbook could ever account for, simply called it a lead." | | 4 | "The manicured grass gave way to a floor of thick, tangled ivy and wildflowers that shouldn't have been blooming in the dead of a British winter." | | 5 | "Foxgloves stood tall and turgid, their bells heavy with a nectar that smelled cloying and sweet—too sweet, like sugar left to rot in the sun." | | 6 | "The silence began to vibrate, a low-frequency hum that made her nose bleed." | | 7 | "Aurora stood shaking, her breath coming in ragged white plumes." |
| |
| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "she lied, her voice steady despite the ice water flooding her veins" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she lied (lie)" | | 2 | "she hissed (hiss)" |
| | dialogueSentences | 9 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.75 | | effectiveRatio | 0.667 | |