| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "He glanced around [around]" |
| | dialogueSentences | 22 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0.1 | | effectiveRatio | 0.091 | |
| 88.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1299 | | totalAiIsmAdverbs | 3 | | 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) | |
| 46.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1299 | | totalAiIsms | 14 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "practiced ease" | | 1 | "echoed" | | 2 | "standard" | | 3 | "structure" | | 4 | "echo" | | 5 | "footsteps" | | 6 | "silence" | | 7 | "porcelain" | | 8 | "database" | | 9 | "warmth" | | 10 | "flickered" |
| |
| 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 | 80 | | matches | (empty) | |
| 89.29% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 80 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1291 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 996 | | uniqueNames | 18 | | maxNameDensity | 0.9 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Herrera" | | discoveredNames | | Soho | 1 | | Harlow | 9 | | Quinn | 1 | | Brewer | 1 | | Street | 1 | | Tomás | 2 | | Herrera | 9 | | Raven | 1 | | Nest | 1 | | Saint | 1 | | Christopher | 1 | | Morris | 1 | | Met | 1 | | Veil | 1 | | Market | 1 | | Tube | 1 | | London | 1 | | Varnik | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Raven" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Morris" | | 8 | "Met" |
| | places | | 0 | "Soho" | | 1 | "Brewer" | | 2 | "Street" | | 3 | "Veil" | | 4 | "Market" | | 5 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like a defunct electrical substati" | | 1 | "quite place" | | 2 | "Something like ozone mixed with incense" | | 3 | "looked like burial linens, its face a smo" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1291 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 35.86 | | std | 22.66 | | cv | 0.632 | | sampleLengths | | 0 | 57 | | 1 | 36 | | 2 | 63 | | 3 | 51 | | 4 | 55 | | 5 | 66 | | 6 | 43 | | 7 | 22 | | 8 | 10 | | 9 | 60 | | 10 | 10 | | 11 | 47 | | 12 | 11 | | 13 | 80 | | 14 | 32 | | 15 | 34 | | 16 | 7 | | 17 | 29 | | 18 | 9 | | 19 | 4 | | 20 | 67 | | 21 | 37 | | 22 | 26 | | 23 | 30 | | 24 | 27 | | 25 | 26 | | 26 | 17 | | 27 | 71 | | 28 | 29 | | 29 | 72 | | 30 | 76 | | 31 | 19 | | 32 | 3 | | 33 | 35 | | 34 | 26 | | 35 | 4 |
| |
| 92.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 80 | | matches | | 0 | "been filled" | | 1 | "been ordered" | | 2 | "was answered" |
| |
| 85.71% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 175 | | matches | | 0 | "was already scaling" | | 1 | "were starting" | | 2 | "was telling" |
| |
| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 92 | | ratio | 0.043 | | matches | | 0 | "The air changed as she descended—warmer, drier, carrying a scent she couldn’t quite place." | | 1 | "The fluorescent lights gave way to something else entirely—globes of pale blue light mounted in wrought-iron sconces that cast no shadows." | | 2 | "A vendor to her left—an elderly woman with eyes the color of tarnished silver—called out." | | 3 | "Dozens of faces—human, inhuman, and something in between—watched her." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1009 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.03270564915758176 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008919722497522299 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 14.03 | | std | 9.7 | | cv | 0.691 | | sampleLengths | | 0 | 18 | | 1 | 22 | | 2 | 17 | | 3 | 36 | | 4 | 7 | | 5 | 27 | | 6 | 7 | | 7 | 4 | | 8 | 18 | | 9 | 11 | | 10 | 23 | | 11 | 17 | | 12 | 14 | | 13 | 28 | | 14 | 13 | | 15 | 5 | | 16 | 7 | | 17 | 17 | | 18 | 37 | | 19 | 6 | | 20 | 17 | | 21 | 14 | | 22 | 6 | | 23 | 11 | | 24 | 11 | | 25 | 2 | | 26 | 8 | | 27 | 8 | | 28 | 14 | | 29 | 17 | | 30 | 21 | | 31 | 10 | | 32 | 13 | | 33 | 13 | | 34 | 21 | | 35 | 11 | | 36 | 15 | | 37 | 43 | | 38 | 16 | | 39 | 3 | | 40 | 3 | | 41 | 15 | | 42 | 17 | | 43 | 6 | | 44 | 28 | | 45 | 7 | | 46 | 2 | | 47 | 1 | | 48 | 26 | | 49 | 9 |
| |
| 75.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4782608695652174 | | totalSentences | 92 | | uniqueOpeners | 44 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Just the distant echo of" | | 1 | "Somewhere deeper in the market," |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 75 | | matches | | 0 | "Her voice cut through the" | | 1 | "She’d been tracking Herrera for" | | 2 | "She skidded into the alley," | | 3 | "She dropped to the other" | | 4 | "She drew her service weapon." | | 5 | "she called out, her voice" | | 6 | "She holstered her weapon but" | | 7 | "Her focus remained on Herrera," | | 8 | "she said, loud enough to" | | 9 | "He glanced around at the" | | 10 | "It glided rather than walked," | | 11 | "it said, its voice sounding" | | 12 | "She didn’t draw, but the" | | 13 | "It tilted its head in" | | 14 | "she said, nodding toward Herrera" | | 15 | "She took a step forward." | | 16 | "She’d seen things she couldn’t" | | 17 | "He paused, and something in" | | 18 | "It had no breath, no" | | 19 | "Her watch ticked against her" |
| | ratio | 0.28 | |
| 66.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 75 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn’s shoes slapped" | | 2 | "Her voice cut through the" | | 3 | "Harlow’s worn leather watch read" | | 4 | "She’d been tracking Herrera for" | | 5 | "Burn marks in the shape" | | 6 | "Lacerations that healed overnight." | | 7 | "She skidded into the alley," | | 8 | "A chain-link fence blocked the" | | 9 | "The Saint Christopher medallion around" | | 10 | "Harlow grabbed the fence and" | | 11 | "She dropped to the other" | | 12 | "The door swung shut with" | | 13 | "She drew her service weapon." | | 14 | "The door led to a" | | 15 | "The air changed as she" | | 16 | "Something like ozone mixed with" | | 17 | "she called out, her voice" | | 18 | "The stairs went deeper than" | | 19 | "The walls transitioned from poured" |
| | ratio | 0.787 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 17.86% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 7 | | matches | | 0 | "She’d been tracking Herrera for three weeks, ever since the tip came in about an unlicensed medic treating patients with injuries that didn’t match any conventi…" | | 1 | "A chain-link fence blocked the far end, but Herrera was already scaling it with the practiced ease of someone who’d done this before." | | 2 | "The walls transitioned from poured concrete to older brick, and then to rough-hewn stone that looked ancient." | | 3 | "The fluorescent lights gave way to something else entirely—globes of pale blue light mounted in wrought-iron sconces that cast no shadows." | | 4 | "From beyond came the murmur of voices, the clink of glass, the occasional burst of laughter that sounded just slightly wrong." | | 5 | "Stalls and booths lined the old platforms, their vendors hawking wares that made her trained eye catalogue and categorize: jars containing liquids that moved ag…" | | 6 | "The scar along his left forearm stood out pale against his skin as he raised his hands in a gesture that was part surrender, part warning." |
| |
| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "it said, its voice sounding like wind through dead leaves" |
| |
| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "it whispered (whisper)" |
| | dialogueSentences | 22 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.333 | | effectiveRatio | 0.182 | |