| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.452 | | leniency | 0.903 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 756 | | 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) | |
| 47.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 756 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "stark" | | 1 | "familiar" | | 2 | "footsteps" | | 3 | "efficient" | | 4 | "eyebrow" | | 5 | "racing" | | 6 | "etched" |
| |
| 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 | 60 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 60 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 761 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 524 | | uniqueNames | 4 | | maxNameDensity | 1.53 | | worstName | "Davies" | | maxWindowNameDensity | 3 | | worstWindowName | "Davies" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.737 | | windowScore | 0.667 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 1 | | matches | | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.628 | | wordCount | 761 | | matches | | 0 | "not pointing north but toward the darkness of the tunnel" | | 1 | "not north, but toward something else entirely" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 80.25% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 23.06 | | std | 9.94 | | cv | 0.431 | | sampleLengths | | 0 | 33 | | 1 | 32 | | 2 | 38 | | 3 | 12 | | 4 | 31 | | 5 | 33 | | 6 | 19 | | 7 | 21 | | 8 | 33 | | 9 | 20 | | 10 | 8 | | 11 | 22 | | 12 | 30 | | 13 | 7 | | 14 | 30 | | 15 | 19 | | 16 | 19 | | 17 | 6 | | 18 | 20 | | 19 | 14 | | 20 | 36 | | 21 | 26 | | 22 | 7 | | 23 | 7 | | 24 | 10 | | 25 | 26 | | 26 | 35 | | 27 | 17 | | 28 | 28 | | 29 | 24 | | 30 | 25 | | 31 | 35 | | 32 | 38 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 95 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 77 | | ratio | 0.091 | | matches | | 0 | "The patterns were familiar - too familiar." | | 1 | "Fresh footprints in the dust - multiple sets." | | 2 | "I recognized one of them - PC Singh, fresh from training." | | 3 | "The positioning was wrong - too deliberate." | | 4 | "The reversed Greek, the matching footprints, the precise nature of the killing - it all pointed to something bigger." | | 5 | "The symbols matched the ones on the wall - protection sigils, designed to ward against something specific." | | 6 | "This wasn't just a murder - it was a message." |
| |
| 97.84% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 518 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.04247104247104247 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.007722007722007722 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 9.88 | | std | 4.85 | | cv | 0.491 | | sampleLengths | | 0 | 5 | | 1 | 7 | | 2 | 21 | | 3 | 16 | | 4 | 10 | | 5 | 6 | | 6 | 5 | | 7 | 11 | | 8 | 11 | | 9 | 11 | | 10 | 12 | | 11 | 21 | | 12 | 10 | | 13 | 6 | | 14 | 11 | | 15 | 7 | | 16 | 9 | | 17 | 8 | | 18 | 11 | | 19 | 2 | | 20 | 19 | | 21 | 8 | | 22 | 8 | | 23 | 7 | | 24 | 10 | | 25 | 9 | | 26 | 11 | | 27 | 3 | | 28 | 5 | | 29 | 10 | | 30 | 12 | | 31 | 8 | | 32 | 11 | | 33 | 11 | | 34 | 4 | | 35 | 3 | | 36 | 15 | | 37 | 15 | | 38 | 12 | | 39 | 7 | | 40 | 6 | | 41 | 13 | | 42 | 4 | | 43 | 2 | | 44 | 20 | | 45 | 14 | | 46 | 3 | | 47 | 15 | | 48 | 7 | | 49 | 7 |
| |
| 70.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.42857142857142855 | | totalSentences | 77 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 55 | | matches | | 0 | "All wearing the same brand" | | 1 | "Instead, I walked to the" |
| | ratio | 0.036 | |
| 67.27% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 55 | | matches | | 0 | "My flashlight beam cut through" | | 1 | "he said, pointing to the" | | 2 | "I didn't need the details." | | 3 | "I clicked off the flashlight" | | 4 | "I asked, already moving toward" | | 5 | "I crouched down, examining the" | | 6 | "My fingers hovered just above" | | 7 | "I'd seen them before, in" | | 8 | "I said, standing up" | | 9 | "I walked along the platform," | | 10 | "I pulled out my phone," | | 11 | "I pointed to the tracks" | | 12 | "I recognized one of them" | | 13 | "I watched as the forensic" | | 14 | "I didn't answer." | | 15 | "I pulled out my phone" | | 16 | "I typed them in, one" | | 17 | "I pocketed my phone" | | 18 | "I stepped back, my mind" | | 19 | "I took the bag, studying" |
| | ratio | 0.382 | |
| 23.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 55 | | matches | | 0 | "The smell hit me first." | | 1 | "Copper and decay, thick enough" | | 2 | "My flashlight beam cut through" | | 3 | "Davies stood at the edge" | | 4 | "he said, pointing to the" | | 5 | "I didn't need the details." | | 6 | "The smell told me everything" | | 7 | "I clicked off the flashlight" | | 8 | "The station's emergency lights cast" | | 9 | "I asked, already moving toward" | | 10 | "Davies gestured to a series" | | 11 | "I crouched down, examining the" | | 12 | "My fingers hovered just above" | | 13 | "The patterns were familiar -" | | 14 | "I'd seen them before, in" | | 15 | "I said, standing up" | | 16 | "I walked along the platform," | | 17 | "I pulled out my phone," | | 18 | "Davies looked skeptical." | | 19 | "I pointed to the tracks" |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "The compass in the evidence bag began to glow faintly, its needle spinning faster now, pointing not north, but toward something else entirely." | | 1 | "Something that had been waiting in the shadows of this city for far too long." |
| |
| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "Davies asked, his voice skeptical" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 31 | | tagDensity | 0.29 | | leniency | 0.581 | | rawRatio | 0.111 | | effectiveRatio | 0.065 | |