| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn said slowly [slowly]" |
| | dialogueSentences | 54 | | tagDensity | 0.315 | | leniency | 0.63 | | rawRatio | 0.059 | | effectiveRatio | 0.037 | |
| 87.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1203 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "sweetly" |
| |
| 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) | |
| 54.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1203 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "shattered" | | 1 | "standard" | | 2 | "etched" | | 3 | "database" | | 4 | "silence" | | 5 | "shimmered" | | 6 | "mechanical" | | 7 | "stark" | | 8 | "trembled" |
| |
| 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 | 138 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 138 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 175 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1188 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 13.51% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 696 | | uniqueNames | 8 | | maxNameDensity | 2.73 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Eva" | | discoveredNames | | Harlow | 1 | | Quinn | 19 | | Kowalski | 1 | | Eva | 17 | | Tube | 1 | | Blitz | 1 | | Camden | 1 | | Metro | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" |
| | places | | | globalScore | 0.135 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1188 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 175 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 16.97 | | std | 13.05 | | cv | 0.769 | | sampleLengths | | 0 | 15 | | 1 | 29 | | 2 | 64 | | 3 | 36 | | 4 | 6 | | 5 | 7 | | 6 | 4 | | 7 | 3 | | 8 | 33 | | 9 | 17 | | 10 | 28 | | 11 | 22 | | 12 | 6 | | 13 | 42 | | 14 | 6 | | 15 | 27 | | 16 | 20 | | 17 | 47 | | 18 | 5 | | 19 | 36 | | 20 | 17 | | 21 | 15 | | 22 | 4 | | 23 | 2 | | 24 | 16 | | 25 | 7 | | 26 | 4 | | 27 | 19 | | 28 | 7 | | 29 | 29 | | 30 | 11 | | 31 | 3 | | 32 | 39 | | 33 | 6 | | 34 | 1 | | 35 | 22 | | 36 | 22 | | 37 | 25 | | 38 | 25 | | 39 | 23 | | 40 | 2 | | 41 | 32 | | 42 | 5 | | 43 | 3 | | 44 | 40 | | 45 | 10 | | 46 | 9 | | 47 | 7 | | 48 | 10 | | 49 | 28 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 138 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 129 | | matches | (empty) | |
| 28.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 175 | | ratio | 0.04 | | matches | | 0 | "The air tasted of damp stone and something older—ozone, maybe, or the faint rot of unlit torches in a tomb." | | 1 | "Then the smell hit again—not just damp." | | 2 | "The needle spun once, then locked on the far wall—where the brickwork shimmered, just for a second, like heat haze over tarmac." | | 3 | "But beneath—something." | | 4 | "But the skin—it had a waxy sheen." | | 5 | "Inside—a shard of obsidian, wrapped in silver wire." | | 6 | "A slit opened—thin as a knife wound." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 705 | | adjectiveStacks | 1 | | stackExamples | | 0 | "wide behind round lenses." |
| | adverbCount | 28 | | adverbRatio | 0.03971631205673759 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0070921985815602835 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 175 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 175 | | mean | 6.79 | | std | 6.65 | | cv | 0.979 | | sampleLengths | | 0 | 15 | | 1 | 5 | | 2 | 2 | | 3 | 4 | | 4 | 18 | | 5 | 18 | | 6 | 20 | | 7 | 22 | | 8 | 2 | | 9 | 2 | | 10 | 12 | | 11 | 4 | | 12 | 2 | | 13 | 18 | | 14 | 6 | | 15 | 5 | | 16 | 2 | | 17 | 4 | | 18 | 2 | | 19 | 1 | | 20 | 5 | | 21 | 28 | | 22 | 3 | | 23 | 3 | | 24 | 1 | | 25 | 2 | | 26 | 2 | | 27 | 6 | | 28 | 7 | | 29 | 6 | | 30 | 2 | | 31 | 2 | | 32 | 11 | | 33 | 7 | | 34 | 1 | | 35 | 9 | | 36 | 2 | | 37 | 2 | | 38 | 1 | | 39 | 6 | | 40 | 3 | | 41 | 13 | | 42 | 4 | | 43 | 7 | | 44 | 15 | | 45 | 6 | | 46 | 5 | | 47 | 22 | | 48 | 2 | | 49 | 18 |
| |
| 68.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.44571428571428573 | | totalSentences | 175 | | uniqueOpeners | 78 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 82 | | matches | | 0 | "Just that wire, tight as" | | 1 | "Then the smell hit again—not" | | 2 | "More like rust on a" | | 3 | "Just reached into her satchel," | | 4 | "Just dust, silence, and a" | | 5 | "Then she reached into her" |
| | ratio | 0.073 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 82 | | matches | | 0 | "Her gaze swept the room:" | | 1 | "She hadn’t touched anything." | | 2 | "She crouched, eyes level with" | | 3 | "Her voice didn’t rise" | | 4 | "He backed out." | | 5 | "She knelt, ran her fingers" | | 6 | "They looked at the woman" | | 7 | "Her face was peaceful." |
| | ratio | 0.098 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 82 | | matches | | 0 | "The body hung from the" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The air tasted of damp" | | 3 | "Her gaze swept the room:" | | 4 | "Eva Kowalski stood near the" | | 5 | "She hadn’t touched anything." | | 6 | "Quinn didn’t look at her." | | 7 | "Eva exhaled through her nose." | | 8 | "Quinn stepped forward." | | 9 | "A metallic tang under the" | | 10 | "She crouched, eyes level with" | | 11 | "Eva didn’t answer." | | 12 | "Sketch of a spiral, interlaced" | | 13 | "Eva’s voice dipped" | | 14 | "The platform wasn’t meant to" | | 15 | "An abandoned Tube station, sealed" | | 16 | "Eva pulled a small brass" | | 17 | "The needle spun once, then" | | 18 | "Quinn’s hand dipped to her" | | 19 | "A uniformed officer poked his" |
| | ratio | 0.646 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 1 | | matches | | 0 | "But her left hand kept fluttering to her temple, tucking hair behind her ear in quick, nervous flicks." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 54 | | tagDensity | 0.204 | | leniency | 0.407 | | rawRatio | 0.091 | | effectiveRatio | 0.037 | |