| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 57 | | tagDensity | 0.053 | | leniency | 0.105 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1709 | | 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) | |
| 88.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1709 | | totalAiIsms | 4 | | found | | 0 | | word | "carried the weight" | | count | 1 |
| | 1 | | | 2 | | | 3 | |
| | highlights | | 0 | "carried the weight" | | 1 | "fluttered" | | 2 | "footsteps" | | 3 | "weight" |
| |
| 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 | 126 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 126 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 180 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1709 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1179 | | uniqueNames | 12 | | maxNameDensity | 1.61 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Constable | 1 | | Preet | 3 | | Harlow | 19 | | Quinn | 2 | | Morris | 1 | | Camden | 1 | | Sergeant | 1 | | Calloway | 13 | | Kowalski | 1 | | Veil | 1 | | Compass | 1 | | Eva | 11 |
| | persons | | 0 | "Preet" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Morris" | | 4 | "Sergeant" | | 5 | "Calloway" | | 6 | "Kowalski" | | 7 | "Eva" |
| | places | | | globalScore | 0.694 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | 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 | 1709 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 180 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 82 | | mean | 20.84 | | std | 17.27 | | cv | 0.828 | | sampleLengths | | 0 | 42 | | 1 | 70 | | 2 | 20 | | 3 | 28 | | 4 | 24 | | 5 | 38 | | 6 | 66 | | 7 | 7 | | 8 | 22 | | 9 | 41 | | 10 | 39 | | 11 | 1 | | 12 | 7 | | 13 | 1 | | 14 | 15 | | 15 | 42 | | 16 | 3 | | 17 | 24 | | 18 | 48 | | 19 | 3 | | 20 | 3 | | 21 | 3 | | 22 | 20 | | 23 | 35 | | 24 | 14 | | 25 | 8 | | 26 | 48 | | 27 | 4 | | 28 | 4 | | 29 | 9 | | 30 | 49 | | 31 | 8 | | 32 | 33 | | 33 | 14 | | 34 | 37 | | 35 | 14 | | 36 | 13 | | 37 | 7 | | 38 | 8 | | 39 | 56 | | 40 | 1 | | 41 | 6 | | 42 | 19 | | 43 | 40 | | 44 | 14 | | 45 | 2 | | 46 | 13 | | 47 | 13 | | 48 | 23 | | 49 | 38 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 188 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 180 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1181 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.016088060965283656 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.001693480101608806 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 180 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 180 | | mean | 9.49 | | std | 6.74 | | cv | 0.71 | | sampleLengths | | 0 | 15 | | 1 | 27 | | 2 | 7 | | 3 | 21 | | 4 | 14 | | 5 | 7 | | 6 | 21 | | 7 | 5 | | 8 | 15 | | 9 | 4 | | 10 | 13 | | 11 | 11 | | 12 | 6 | | 13 | 18 | | 14 | 20 | | 15 | 18 | | 16 | 13 | | 17 | 17 | | 18 | 19 | | 19 | 17 | | 20 | 7 | | 21 | 8 | | 22 | 14 | | 23 | 41 | | 24 | 9 | | 25 | 11 | | 26 | 19 | | 27 | 1 | | 28 | 7 | | 29 | 1 | | 30 | 6 | | 31 | 9 | | 32 | 2 | | 33 | 19 | | 34 | 3 | | 35 | 11 | | 36 | 7 | | 37 | 3 | | 38 | 2 | | 39 | 10 | | 40 | 12 | | 41 | 4 | | 42 | 10 | | 43 | 17 | | 44 | 3 | | 45 | 7 | | 46 | 2 | | 47 | 5 | | 48 | 3 | | 49 | 3 |
| |
| 45.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.29444444444444445 | | totalSentences | 180 | | uniqueOpeners | 53 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 120 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 120 | | matches | | 0 | "She wore her coat buttoned" | | 1 | "It had stopped three years" | | 2 | "It carried the weight of" | | 3 | "She handed it back to" | | 4 | "His face had the grey" | | 5 | "His dark hair lay plastered" | | 6 | "She leaned closer." | | 7 | "She looked up." | | 8 | "They held no grit, no" | | 9 | "His left shoe had a" | | 10 | "Her curly red hair escaped" | | 11 | "She tucked a strand behind" | | 12 | "She eased the fabric open" | | 13 | "He leaned down." | | 14 | "Her fingers hovered over the" | | 15 | "They curved away in three" | | 16 | "He answered it and moved" | | 17 | "It pointed toward the archway" | | 18 | "It led past the body," | | 19 | "She walked toward it." |
| | ratio | 0.242 | |
| 1.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 120 | | matches | | 0 | "The entrance to the old" | | 1 | "A steel door stood ajar" | | 2 | "Detective Harlow Quinn stopped at" | | 3 | "She wore her coat buttoned" | | 4 | "The leather watch on her" | | 5 | "The watch had belonged to" | | 6 | "It had stopped three years" | | 7 | "Preet held the token forward." | | 8 | "Harlow took the token." | | 9 | "It carried the weight of" | | 10 | "She handed it back to" | | 11 | "The stairs descended in a" | | 12 | "Stalls lined the old track" | | 13 | "Glass jars held coils of" | | 14 | "A table near the platform" | | 15 | "The police lamps threw hard" | | 16 | "A body lay beside the" | | 17 | "Detective Sergeant Calloway waited with" | | 18 | "His face had the grey" | | 19 | "Harlow stepped around the body" |
| | ratio | 0.917 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 120 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 2 | | matches | | 0 | "Glass jars held coils of hair, teeth set in silver wire, and liquids that shifted without light." | | 1 | "Their names surfaced in stolen artifact reports, poison seizures, and witness statements that collapsed before court." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |