| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 856 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | |
| | highlights | | 0 | "deliberately" | | 1 | "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) | |
| 64.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 856 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "pounding" | | 1 | "charged" | | 2 | "footsteps" | | 3 | "perfect" | | 4 | "flickered" | | 5 | "depths" |
| |
| 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 | 63 | | matches | (empty) | |
| 52.15% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 63 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "seemed to" | | 2 | "tried to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 846 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.47% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 787 | | uniqueNames | 11 | | maxNameDensity | 1.27 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 10 | | Morris | 2 | | Tube | 1 | | Saint | 1 | | Christopher | 1 | | Spanish | 1 | | English | 1 | | Tomás | 1 | | Herrera | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "English" | | 6 | "Tomás" | | 7 | "Herrera" |
| | places | | | globalScore | 0.865 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like period costumes" | | 1 | "looked like antique medical equipment" | | 2 | "symbols that seemed to shift when she tried to focus on them" | | 3 | "looked like a ticket barrier, but instead" | | 4 | "quite human" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 846 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 94.44% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 32.54 | | std | 15.64 | | cv | 0.481 | | sampleLengths | | 0 | 61 | | 1 | 50 | | 2 | 32 | | 3 | 14 | | 4 | 36 | | 5 | 37 | | 6 | 10 | | 7 | 53 | | 8 | 42 | | 9 | 60 | | 10 | 37 | | 11 | 44 | | 12 | 30 | | 13 | 17 | | 14 | 17 | | 15 | 50 | | 16 | 18 | | 17 | 18 | | 18 | 51 | | 19 | 19 | | 20 | 10 | | 21 | 18 | | 22 | 34 | | 23 | 44 | | 24 | 30 | | 25 | 14 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 139 | | matches | | 0 | "was examining" | | 1 | "was approaching" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 70 | | ratio | 0.086 | | matches | | 0 | "Three blocks ahead, the suspect—a wiry man in a dark hoodie—glanced back before darting down an alleyway between two brick buildings." | | 1 | "She'd seen impossible things since Morris died—things that defied explanation, things that had cost her partner his life under circumstances the official reports still couldn't properly explain." | | 2 | "The air changed—grew thicker, charged with something ozone-like." | | 3 | "People moved through the space—dozens of them, their faces shadowed, their clothes ranging from modern streetwear to what looked like period costumes." | | 4 | "Quinn started after him, but something caught her eye—two figures standing near the tunnel entrance." | | 5 | "The man—Tomás Herrera, if the file Quinn had been building was accurate—nodded." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 797 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.03513174404015056 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010037641154328732 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 12.09 | | std | 6.97 | | cv | 0.577 | | sampleLengths | | 0 | 14 | | 1 | 26 | | 2 | 21 | | 3 | 18 | | 4 | 15 | | 5 | 13 | | 6 | 4 | | 7 | 8 | | 8 | 8 | | 9 | 16 | | 10 | 9 | | 11 | 5 | | 12 | 4 | | 13 | 23 | | 14 | 9 | | 15 | 4 | | 16 | 6 | | 17 | 27 | | 18 | 10 | | 19 | 9 | | 20 | 8 | | 21 | 15 | | 22 | 21 | | 23 | 12 | | 24 | 13 | | 25 | 13 | | 26 | 4 | | 27 | 22 | | 28 | 10 | | 29 | 15 | | 30 | 13 | | 31 | 22 | | 32 | 15 | | 33 | 20 | | 34 | 11 | | 35 | 13 | | 36 | 19 | | 37 | 11 | | 38 | 13 | | 39 | 4 | | 40 | 12 | | 41 | 5 | | 42 | 7 | | 43 | 33 | | 44 | 10 | | 45 | 13 | | 46 | 5 | | 47 | 10 | | 48 | 8 | | 49 | 9 |
| |
| 70.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4857142857142857 | | totalSentences | 70 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 61 | | matches | | 0 | "Her worn leather watch strap" | | 1 | "He reached the brick wall" | | 2 | "Her gut screamed something else" | | 3 | "She'd seen impossible things since" | | 4 | "Her hand went to the" | | 5 | "Her suspect was already across" | | 6 | "He was examining a woman's" | | 7 | "He was approaching what looked" | | 8 | "Her police training had prepared" | | 9 | "Their eyes met for a" |
| | ratio | 0.164 | |
| 41.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 61 | | matches | | 0 | "Rain slicked the London streets" | | 1 | "Detective Harlow Quinn's lungs burned" | | 2 | "Quinn cut across the road," | | 3 | "Her worn leather watch strap" | | 4 | "Some habits never died." | | 5 | "The alley reeked of bins" | | 6 | "Graffiti snaked across the walls" | | 7 | "The suspect was halfway down," | | 8 | "Quinn's voice cut through the" | | 9 | "The man didn't slow." | | 10 | "He reached the brick wall" | | 11 | "A section of bricks swung" | | 12 | "Quinn's training screamed trap." | | 13 | "Her gut screamed something else" | | 14 | "She'd seen impossible things since" | | 15 | "The passage descended steeply, concrete" | | 16 | "The air changed—grew thicker, charged" | | 17 | "The sounds of the city" | | 18 | "Her hand went to the" | | 19 | "The stairs opened into what" |
| | ratio | 0.836 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 2 | | matches | | 0 | "She'd seen impossible things since Morris died—things that defied explanation, things that had cost her partner his life under circumstances the official report…" | | 1 | "Beyond it lay answers to questions she'd been asking for three years, since Morris died in that warehouse with symbols carved into the floor and his blood spell…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "the woman replied, her voice tight with pain" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |