| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.643 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1340 | | totalAiIsmAdverbs | 3 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "deliberately" | | 1 | "completely" | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1340 | | totalAiIsms | 32 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | word | "the last thing" | | count | 1 |
|
| | highlights | | 0 | "reminder" | | 1 | "chill" | | 2 | "flicker" | | 3 | "echo" | | 4 | "footsteps" | | 5 | "familiar" | | 6 | "weight" | | 7 | "tension" | | 8 | "pulsed" | | 9 | "dancing" | | 10 | "oppressive" | | 11 | "echoing" | | 12 | "gloom" | | 13 | "navigating" | | 14 | "depths" | | 15 | "gleaming" | | 16 | "unreadable" | | 17 | "echoes" | | 18 | "resolving" | | 19 | "chilling" | | 20 | "velvet" | | 21 | "sanctuary" | | 22 | "complex" | | 23 | "resonated" | | 24 | "whisper" | | 25 | "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 | 101 | | matches | (empty) | |
| 72.14% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 101 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 4 | | totalWords | 1356 | | ratio | 0.003 | | matches | | 0 | "“Don’t trust the echoes.”" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1243 | | uniqueNames | 10 | | maxNameDensity | 0.72 | | worstName | "Thorne" | | maxWindowNameDensity | 2 | | worstWindowName | "Thorne" | | discoveredNames | | Soho | 1 | | Morris | 3 | | Thorne | 9 | | Veil | 2 | | Market | 2 | | Tomás | 1 | | Herrera | 3 | | Saint | 1 | | Christopher | 1 | | Suddenly | 1 |
| | persons | | 0 | "Morris" | | 1 | "Thorne" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.737 | | wordCount | 1356 | | matches | | 0 | "not a physical door, but a swirling vortex of grey light, revealing a passage leading" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 48.43 | | std | 27.54 | | cv | 0.569 | | sampleLengths | | 0 | 111 | | 1 | 81 | | 2 | 87 | | 3 | 72 | | 4 | 70 | | 5 | 61 | | 6 | 89 | | 7 | 19 | | 8 | 2 | | 9 | 65 | | 10 | 54 | | 11 | 67 | | 12 | 23 | | 13 | 18 | | 14 | 62 | | 15 | 27 | | 16 | 48 | | 17 | 14 | | 18 | 25 | | 19 | 41 | | 20 | 14 | | 21 | 7 | | 22 | 57 | | 23 | 22 | | 24 | 47 | | 25 | 47 | | 26 | 54 | | 27 | 72 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 193 | | matches | | 0 | "was weaving" | | 1 | "wasn't sprinting" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 1 | | flaggedSentences | 13 | | totalSentences | 108 | | ratio | 0.12 | | matches | | 0 | "I adjusted the worn leather strap of my watch – a grim reminder of Morris, a constant nudge to stay sharp – and pushed off the damp brick wall, the chill of the stone briefly shocking my system." | | 1 | "I followed the trail he’d left – a series of broken signals, a dismissed security guard, a deleted CCTV clip." | | 2 | "Thorne wasn’t just running; he was deliberately trying to lose me." | | 3 | "A flickering neon sign – ‘The Raven’s Nest’ – cast a sickly green glow over the scene, illuminating a doorway crammed with discarded newspapers and overflowing ashtrays." | | 4 | "He glanced back, just for a fraction of a second, and his eyes – a startling shade of amber – met mine across the street." | | 5 | "But something – a prickling sensation at the base of my skull, a residue of Morris’s unsolved case – propelled me forward." | | 6 | "I spotted a crumpled bone token lying on the platform – a crude carving of a wolf's head, stained with what looked disturbingly like dried blood." | | 7 | "A figure emerged from behind a rusted pillar – Tomás Herrera, his olive skin gleaming under the flashlight beam, a medic's bag slung over his shoulder." | | 8 | "Then, a doorway materialized – not a physical door, but a swirling vortex of grey light, revealing a passage leading into absolute darkness." | | 9 | "The scent of incense and something else - something ancient and profoundly unsettling - permeated the air." | | 10 | "Then, I heard it – a single, clear voice, laced with a chilling amusement." | | 11 | "Her eyes – the same startling amber as his – held a chilling intelligence." | | 12 | "They carried strange implements - intricately carved daggers, silver rods topped with flickering candles, and small, pulsating orbs of light." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 357 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.036414565826330535 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.014005602240896359 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 12.56 | | std | 7.2 | | cv | 0.573 | | sampleLengths | | 0 | 17 | | 1 | 15 | | 2 | 15 | | 3 | 38 | | 4 | 26 | | 5 | 5 | | 6 | 12 | | 7 | 1 | | 8 | 17 | | 9 | 2 | | 10 | 2 | | 11 | 15 | | 12 | 27 | | 13 | 20 | | 14 | 14 | | 15 | 18 | | 16 | 16 | | 17 | 11 | | 18 | 8 | | 19 | 20 | | 20 | 27 | | 21 | 15 | | 22 | 4 | | 23 | 4 | | 24 | 2 | | 25 | 6 | | 26 | 18 | | 27 | 5 | | 28 | 11 | | 29 | 25 | | 30 | 3 | | 31 | 2 | | 32 | 13 | | 33 | 12 | | 34 | 6 | | 35 | 8 | | 36 | 22 | | 37 | 12 | | 38 | 13 | | 39 | 21 | | 40 | 20 | | 41 | 23 | | 42 | 10 | | 43 | 9 | | 44 | 2 | | 45 | 14 | | 46 | 18 | | 47 | 26 | | 48 | 7 | | 49 | 3 |
| |
| 43.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3425925925925926 | | totalSentences | 108 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 94 | | matches | | 0 | "Just the echo of hurried" | | 1 | "More like dancing with the" | | 2 | "Suddenly, the air grew colder." | | 3 | "Then, a doorway materialized –" | | 4 | "Then, I heard it –" |
| | ratio | 0.053 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 94 | | matches | | 0 | "It wasn’t a gentle rain," | | 1 | "I adjusted the worn leather" | | 2 | "He’d vanished just like that." | | 3 | "I followed the trail he’d" | | 4 | "I pulled my trench coat" | | 5 | "I didn’t bother entering." | | 6 | "He wasn't sprinting, not exactly." | | 7 | "He glanced back, just for" | | 8 | "I surged forward, my boots" | | 9 | "He ducked into the subway" | | 10 | "I activated my flashlight, the" | | 11 | "I shouted, my voice swallowed" | | 12 | "I continued my pursuit, navigating" | | 13 | "I spotted a crumpled bone" | | 14 | "I’d dismissed it as a" | | 15 | "it all pointed to a" | | 16 | "He caught my eye and" | | 17 | "he said, his voice low" | | 18 | "I replied, my grip tightening" | | 19 | "I took a step forward," |
| | ratio | 0.287 | |
| 34.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 94 | | matches | | 0 | "The rain tasted of grit" | | 1 | "It wasn’t a gentle rain," | | 2 | "This was a hammering deluge," | | 3 | "I adjusted the worn leather" | | 4 | "The scent of wet wool" | | 5 | "He’d vanished just like that." | | 6 | "A flicker of dark clothing," | | 7 | "A specialist in the obscure," | | 8 | "I followed the trail he’d" | | 9 | "Each piece added to the" | | 10 | "The rain intensified, plastering my" | | 11 | "I pulled my trench coat" | | 12 | "Thorne wasn’t just running; he" | | 13 | "The pursuit led me down" | | 14 | "A flickering neon sign –" | | 15 | "The bar pulsed with a" | | 16 | "I didn’t bother entering." | | 17 | "Thorne wouldn’t be inside." | | 18 | "Thorne was weaving through the" | | 19 | "He wasn't sprinting, not exactly." |
| | ratio | 0.851 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 94 | | matches | | 0 | "And, according to half a" | | 1 | "Before I could fire, a" |
| | ratio | 0.021 | |
| 85.25% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 5 | | matches | | 0 | "The rain intensified, plastering my dark hair to my forehead, blurring the already indistinct outlines of the buildings." | | 1 | "I surged forward, my boots splashing in puddles, the rain stinging my face." | | 2 | "Thorne was already further down the platform, moving with a disconcerting grace, as if he were completely at home in this subterranean labyrinth." | | 3 | "I continued my pursuit, navigating the labyrinthine corridors, the darkness pressing in around me." | | 4 | "The rain continued to fall, a relentless, mournful rhythm against the steel of the subway roof, a soundtrack to a night that was rapidly spiraling out of contro…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, his voice low and gravelly" | | 1 | "I replied, my grip tightening on my weapon" | | 2 | "Thorne asked, his voice dripping with sarcasm" |
| |
| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.167 | | effectiveRatio | 0.143 | |