| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1228 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 67.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1228 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "fractured" | | 1 | "streaming" | | 2 | "weight" | | 3 | "pumping" | | 4 | "velvet" | | 5 | "flickered" | | 6 | "scanning" | | 7 | "pulsed" |
| |
| 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 | 1 | | narrationSentences | 84 | | matches | | |
| 23.81% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 2 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1219 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1219 | | uniqueNames | 21 | | maxNameDensity | 0.98 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 2 | | Harlow | 1 | | Quinn | 12 | | Raven | 1 | | Nest | 1 | | Metropolitan | 1 | | Police | 1 | | Herrera | 2 | | Saint | 2 | | Christopher | 2 | | London | 2 | | Chinatown | 1 | | Camden | 2 | | Victorian | 1 | | Tube | 1 | | Town | 1 | | Veil | 2 | | Market | 2 | | Morris | 2 | | Latin | 1 | | Tomás | 7 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Market" | | 7 | "Morris" | | 8 | "Latin" | | 9 | "Tomás" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Chinatown" | | 3 | "Camden" | | 4 | "Victorian" | | 5 | "Town" |
| | globalScore | 1 | | windowScore | 1 | |
| 32.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 3 | | matches | | 0 | "maps that seemed to watch the patrons with blind, milky eyes" | | 1 | "felt like hours" | | 2 | "quite leather" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1219 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 84 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 48.76 | | std | 32.73 | | cv | 0.671 | | sampleLengths | | 0 | 104 | | 1 | 60 | | 2 | 4 | | 3 | 79 | | 4 | 3 | | 5 | 16 | | 6 | 16 | | 7 | 107 | | 8 | 10 | | 9 | 67 | | 10 | 6 | | 11 | 89 | | 12 | 51 | | 13 | 90 | | 14 | 83 | | 15 | 27 | | 16 | 4 | | 17 | 60 | | 18 | 83 | | 19 | 55 | | 20 | 57 | | 21 | 52 | | 22 | 29 | | 23 | 42 | | 24 | 25 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 84 | | matches | | |
| 99.50% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 199 | | matches | | 0 | "was going" | | 1 | "was looking" | | 2 | "was waiting" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 84 | | ratio | 0.083 | | matches | | 0 | "At his throat, the silver Saint Christopher medallion caught the light—a talisman that wouldn't save him now." | | 1 | "The air down here was different—thick, metallic, smelling of ozone and something else, something ancient and hungry." | | 2 | "He reached into his jacket and produced a small, yellowed object—a finger bone, curved and polished by handling." | | 3 | "Creatures moved between the vendors—some humanoid, some not—trading in vials of liquid shadow and grimoires bound in skin that wasn't quite leather." | | 4 | "He was looking at something on the counter—a vial of silver liquid that pulsed like a heartbeat." | | 5 | "The market seemed to notice her, the chatter dying down as she approached, dozens of eyes—human and otherwise—turning in her direction." | | 6 | "His warm brown eyes met hers, and for a moment, the noise of the market rushed back in—a tide of whispers and hisses and the clink of enchanted gold." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1243 | | adjectiveStacks | 1 | | stackExamples | | 0 | "different—thick, metallic, smelling" |
| | adverbCount | 17 | | adverbRatio | 0.013676588897827836 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004022526146419952 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 14.51 | | std | 9.56 | | cv | 0.659 | | sampleLengths | | 0 | 24 | | 1 | 37 | | 2 | 21 | | 3 | 22 | | 4 | 29 | | 5 | 20 | | 6 | 8 | | 7 | 3 | | 8 | 4 | | 9 | 15 | | 10 | 21 | | 11 | 17 | | 12 | 26 | | 13 | 3 | | 14 | 6 | | 15 | 3 | | 16 | 4 | | 17 | 3 | | 18 | 14 | | 19 | 2 | | 20 | 10 | | 21 | 22 | | 22 | 13 | | 23 | 24 | | 24 | 38 | | 25 | 6 | | 26 | 4 | | 27 | 19 | | 28 | 3 | | 29 | 14 | | 30 | 3 | | 31 | 28 | | 32 | 6 | | 33 | 9 | | 34 | 13 | | 35 | 17 | | 36 | 31 | | 37 | 7 | | 38 | 12 | | 39 | 6 | | 40 | 18 | | 41 | 9 | | 42 | 18 | | 43 | 8 | | 44 | 18 | | 45 | 13 | | 46 | 18 | | 47 | 33 | | 48 | 33 | | 49 | 6 |
| |
| 36.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.30952380952380953 | | totalSentences | 84 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 54.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 82 | | matches | | 0 | "She was five-foot-nine of military" | | 1 | "She had known the clique" | | 2 | "They always did." | | 3 | "His olive skin gleamed under" | | 4 | "He looked back." | | 5 | "She didn't shout." | | 6 | "She didn't need to." | | 7 | "She simply moved." | | 8 | "Her boots hit the wet" | | 9 | "She was a machine of" | | 10 | "He knew where he was" | | 11 | "She knew he knew." | | 12 | "They reached Camden as the" | | 13 | "He veered toward the abandoned" | | 14 | "It required a bone token" | | 15 | "It was a place where" | | 16 | "He reached into his jacket" | | 17 | "He pressed it against a" | | 18 | "Her hand rested on the" | | 19 | "She had seen the sigils" |
| | ratio | 0.415 | |
| 14.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 82 | | matches | | 0 | "The rain didn't fall in" | | 1 | "Detective Harlow Quinn stood beneath" | | 2 | "She was five-foot-nine of military" | | 3 | "Quinn had been nursing a" | | 4 | "She had known the clique" | | 5 | "They always did." | | 6 | "The side door opened." | | 7 | "Tomás Herrera emerged into the" | | 8 | "His olive skin gleamed under" | | 9 | "He looked back." | | 10 | "Quinn's brown eyes locked onto" | | 11 | "She didn't shout." | | 12 | "She didn't need to." | | 13 | "She simply moved." | | 14 | "Her boots hit the wet" | | 15 | "The chase took them through" | | 16 | "Past shuttered sex shops and" | | 17 | "Quinn kept pace, her military" | | 18 | "She was a machine of" | | 19 | "Tomás was fast for a" |
| | ratio | 0.89 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 12 | | matches | | 0 | "The rain didn't fall in Soho so much as it assaulted, coming down in sheets that turned the cobblestones into mirrors of fractured neon." | | 1 | "Inside, the bar smelled of stale beer and old parchment, the walls crowded with black-and-white photographs and yellowed maps that seemed to watch the patrons w…" | | 2 | "At his throat, the silver Saint Christopher medallion caught the light—a talisman that wouldn't save him now." | | 3 | "Tomás was fast for a man carrying the weight of a guilty conscience, his scarred forearm pumping as he cut through Chinatown, then north toward the canal, his s…" | | 4 | "They reached Camden as the rain intensified, a curtain of water that turned the world into a watercolor blur." | | 5 | "This was the Veil Market, the supernatural black market that moved with the lunar cycle, that traded in enchanted goods and banned alchemical substances and sec…" | | 6 | "With a sound like grinding teeth, the gate swung open, revealing stairs that spiraled down into the dark." | | 7 | "Eighteen years of service had taught her the value of procedure, of not walking into a supernatural black market alone at midnight in a city that had already sw…" | | 8 | "She thought of her watch ticking on her left wrist, the steady rhythm of time marching toward a reckoning she had been running from for three years." | | 9 | "Creatures moved between the vendors—some humanoid, some not—trading in vials of liquid shadow and grimoires bound in skin that wasn't quite leather." | | 10 | "A sign flickered overhead, written in a language that predated Latin, advertising information for sale, potions that could mend broken bones or break unbreakabl…" | | 11 | "Near a stall selling teeth that chattered in glass jars, Tomás Herrera paused." |
| |
| 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 | |