| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.195 | | leniency | 0.39 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1431 | | 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) | |
| 26.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1431 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "dancing" | | 1 | "weight" | | 2 | "rhythmic" | | 3 | "mechanical" | | 4 | "maw" | | 5 | "scanned" | | 6 | "silence" | | 7 | "familiar" | | 8 | "standard" | | 9 | "pulse" | | 10 | "etched" | | 11 | "perfect" | | 12 | "echoed" | | 13 | "flickered" | | 14 | "shimmered" |
| |
| 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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1430 | | ratio | 0.002 | | matches | | 0 | "Scrape. Slide. Scrape." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 78.84% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1054 | | uniqueNames | 7 | | maxNameDensity | 1.42 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 15 | | Tube | 1 | | Miller | 11 | | Morris | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" | | 4 | "Police" |
| | places | (empty) | | globalScore | 0.788 | | windowScore | 0.833 | |
| 83.33% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like snail slime, but it caught th" | | 1 | "sounded like a heavy iron gate slamming sh" |
| |
| 60.14% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.399 | | wordCount | 1430 | | matches | | 0 | "Not white, not blue, but a deep, bruising violet" | | 1 | "not blue, but a deep, bruising violet" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 20.14 | | std | 14.87 | | cv | 0.738 | | sampleLengths | | 0 | 13 | | 1 | 40 | | 2 | 20 | | 3 | 27 | | 4 | 4 | | 5 | 42 | | 6 | 40 | | 7 | 38 | | 8 | 29 | | 9 | 3 | | 10 | 2 | | 11 | 14 | | 12 | 39 | | 13 | 56 | | 14 | 3 | | 15 | 22 | | 16 | 4 | | 17 | 12 | | 18 | 7 | | 19 | 31 | | 20 | 11 | | 21 | 32 | | 22 | 40 | | 23 | 42 | | 24 | 29 | | 25 | 28 | | 26 | 14 | | 27 | 54 | | 28 | 16 | | 29 | 12 | | 30 | 4 | | 31 | 5 | | 32 | 16 | | 33 | 22 | | 34 | 7 | | 35 | 15 | | 36 | 38 | | 37 | 6 | | 38 | 7 | | 39 | 15 | | 40 | 7 | | 41 | 43 | | 42 | 9 | | 43 | 7 | | 44 | 41 | | 45 | 10 | | 46 | 28 | | 47 | 4 | | 48 | 39 | | 49 | 18 |
| |
| 84.62% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 102 | | matches | | 0 | "been interrupted" | | 1 | "being held" | | 2 | "were cracked" | | 3 | "were arranged" | | 4 | "being dragged" | | 5 | "was draped" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 176 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 135 | | ratio | 0.007 | | matches | | 0 | "It raised a limb—long, multi-jointed, and ending in fingers that tapered into needle-sharp points." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1059 | | adjectiveStacks | 1 | | stackExamples | | 0 | "sudden, sharp metallic clang" |
| | adverbCount | 27 | | adverbRatio | 0.025495750708215296 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007554296506137866 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 10.59 | | std | 6.66 | | cv | 0.629 | | sampleLengths | | 0 | 13 | | 1 | 16 | | 2 | 24 | | 3 | 20 | | 4 | 18 | | 5 | 9 | | 6 | 4 | | 7 | 4 | | 8 | 20 | | 9 | 10 | | 10 | 8 | | 11 | 10 | | 12 | 19 | | 13 | 11 | | 14 | 20 | | 15 | 4 | | 16 | 14 | | 17 | 2 | | 18 | 4 | | 19 | 23 | | 20 | 3 | | 21 | 2 | | 22 | 14 | | 23 | 4 | | 24 | 35 | | 25 | 3 | | 26 | 5 | | 27 | 21 | | 28 | 12 | | 29 | 15 | | 30 | 3 | | 31 | 8 | | 32 | 14 | | 33 | 4 | | 34 | 8 | | 35 | 4 | | 36 | 7 | | 37 | 13 | | 38 | 18 | | 39 | 11 | | 40 | 8 | | 41 | 12 | | 42 | 12 | | 43 | 9 | | 44 | 13 | | 45 | 18 | | 46 | 12 | | 47 | 30 | | 48 | 29 | | 49 | 8 |
| |
| 43.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.34814814814814815 | | totalSentences | 135 | | uniqueOpeners | 47 | |
| 71.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 93 | | matches | | 0 | "Instead, they looked startled, as" | | 1 | "Instead, she reached for the" |
| | ratio | 0.022 | |
| 47.96% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 93 | | matches | | 0 | "He gestured vaguely toward the" | | 1 | "She kept her movements precise," | | 2 | "She checked the worn leather" | | 3 | "His eyes were wide, fixed" | | 4 | "He tapped a notepad." | | 5 | "She didn't touch anything." | | 6 | "Her brown eyes scanned the" | | 7 | "She focused on the dust." | | 8 | "She leaned in closer to" | | 9 | "It wasn't the mark of" | | 10 | "He kicked at a loose" | | 11 | "She turned her gaze away" | | 12 | "She felt a familiar, cold" | | 13 | "It was the same sensation" | | 14 | "She walked toward the tunnel," | | 15 | "It looked like snail slime," | | 16 | "She reached into her pocket" | | 17 | "She clicked it on." | | 18 | "He looked at the violet" | | 19 | "His expression shifted from annoyance" |
| | ratio | 0.43 | |
| 24.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 93 | | matches | | 0 | "Detective Harlow Quinn stepped over" | | 1 | "The air in the abandoned" | | 2 | "DS Miller stood by a" | | 3 | "He gestured vaguely toward the" | | 4 | "Quinn approached the body." | | 5 | "She kept her movements precise," | | 6 | "She checked the worn leather" | | 7 | "The second hand swept with" | | 8 | "The man lay sprawled near" | | 9 | "His eyes were wide, fixed" | | 10 | "He tapped a notepad." | | 11 | "She didn't touch anything." | | 12 | "Her brown eyes scanned the" | | 13 | "Miller shrugged, stepping closer." | | 14 | "Quinn ignored him." | | 15 | "She focused on the dust." | | 16 | "The grime on the station" | | 17 | "She leaned in closer to" | | 18 | "The skin possessed a peculiar," | | 19 | "Miller leaned down, squinting through" |
| | ratio | 0.871 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 93 | | matches | | 0 | "If there had been a" | | 1 | "If a second person had" | | 2 | "Now that she knew what" |
| | ratio | 0.032 | |
| 61.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 6 | | matches | | 0 | "The silence that followed was even heavier than before, pressing against their eardrums like deep-sea pressure." | | 1 | "Instead, she reached for the edge of her coat, feeling the weight of the files she had been keeping hidden." | | 2 | "The air grew cold, a sudden, biting frost that turned their breath into thick plumes of white mist." | | 3 | "It was too tall, too thin, and it moved with a jerky, unnatural cadence that defied human anatomy." | | 4 | "It was draped in tattered, soot-stained rags, but through the gaps in the fabric, Quinn saw skin that shimmered with that same violet, oily sheen." | | 5 | "It raised a limb—long, multi-jointed, and ending in fingers that tapered into needle-sharp points." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn said, her voice dropping to a low, dangerous register" | | 1 | "Quinn commanded, her voice steady despite the sudden hammering in her chest" | | 2 | "Miller said, his voice cracking" |
| |
| 76.83% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "Miller suggested (suggest)" | | 1 | "she whispered (whisper)" | | 2 | "Quinn snapped (snap)" |
| | dialogueSentences | 41 | | tagDensity | 0.171 | | leniency | 0.341 | | rawRatio | 0.429 | | effectiveRatio | 0.146 | |