| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1436 | | 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) | |
| 79.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1436 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "measured" | | 1 | "scanned" | | 2 | "flicked" | | 3 | "weight" | | 4 | "etched" | | 5 | "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 | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 102 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1436 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1178 | | uniqueNames | 9 | | maxNameDensity | 1.27 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | Harlow | 1 | | Quinn | 15 | | Tube | 1 | | Full | 1 | | Eva | 3 | | Kowalski | 1 | | Shade | 1 | | Dust | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Kowalski" |
| | places | | | globalScore | 0.863 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | 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 | 1436 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 13 | | mean | 110.46 | | std | 77.98 | | cv | 0.706 | | sampleLengths | | 0 | 155 | | 1 | 21 | | 2 | 159 | | 3 | 34 | | 4 | 198 | | 5 | 35 | | 6 | 162 | | 7 | 27 | | 8 | 183 | | 9 | 26 | | 10 | 184 | | 11 | 27 | | 12 | 225 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 149 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 98 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1136 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.01056338028169014 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0008802816901408451 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 14.65 | | std | 13.96 | | cv | 0.953 | | sampleLengths | | 0 | 15 | | 1 | 27 | | 2 | 10 | | 3 | 11 | | 4 | 7 | | 5 | 10 | | 6 | 75 | | 7 | 8 | | 8 | 5 | | 9 | 8 | | 10 | 102 | | 11 | 20 | | 12 | 13 | | 13 | 4 | | 14 | 8 | | 15 | 12 | | 16 | 34 | | 17 | 14 | | 18 | 12 | | 19 | 6 | | 20 | 19 | | 21 | 11 | | 22 | 7 | | 23 | 10 | | 24 | 12 | | 25 | 7 | | 26 | 9 | | 27 | 7 | | 28 | 19 | | 29 | 8 | | 30 | 7 | | 31 | 8 | | 32 | 8 | | 33 | 15 | | 34 | 14 | | 35 | 5 | | 36 | 35 | | 37 | 13 | | 38 | 23 | | 39 | 18 | | 40 | 15 | | 41 | 13 | | 42 | 3 | | 43 | 18 | | 44 | 21 | | 45 | 18 | | 46 | 8 | | 47 | 12 | | 48 | 27 | | 49 | 13 |
| |
| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 32 | | diversityRatio | 0.21428571428571427 | | totalSentences | 98 | | uniqueOpeners | 21 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 91 | | matches | | 0 | "Her closely cropped salt-and-pepper hair" | | 1 | "Her sharp jaw caught lamp" | | 2 | "Her worn leather watch sat" | | 3 | "She pulled a folded archive" | | 4 | "His coat hung open." | | 5 | "His right hand rested empty" | | 6 | "His left fist closed around" | | 7 | "She counted the space between" | | 8 | "She counted footprints in the" | | 9 | "His boot prints cut a" | | 10 | "She tucked her hair behind" | | 11 | "She looked at the dust" | | 12 | "Her satchel shifted against her" | | 13 | "She lifted the archive note" | | 14 | "Her mouth tightened." | | 15 | "She glanced at the constable," | | 16 | "Her free hand found the" | | 17 | "She had spent two years" | | 18 | "She had not spent two" | | 19 | "She stared at the footprints" |
| | ratio | 0.264 | |
| 9.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 91 | | matches | | 0 | "Rain ran down the railings" | | 1 | "Detective Harlow Quinn took the" | | 2 | "Her closely cropped salt-and-pepper hair" | | 3 | "Her sharp jaw caught lamp" | | 4 | "Brown eyes moved from pillar" | | 5 | "Her worn leather watch sat" | | 6 | "The bone token at the" | | 7 | "Eva Kowalski stood beside a" | | 8 | "She pulled a folded archive" | | 9 | "The dead man slumped against" | | 10 | "His coat hung open." | | 11 | "His right hand rested empty" | | 12 | "His left fist closed around" | | 13 | "Quinn ignored the note and" | | 14 | "She counted the space between" | | 15 | "She counted footprints in the" | | 16 | "The constable had crossed the" | | 17 | "His boot prints cut a" | | 18 | "Dust lay unbroken across the" | | 19 | "Dust lay unbroken across the" |
| | ratio | 0.901 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 1 | | matches | | 0 | "The compass needle pressed against the glass of the casing and held its line on the crack in the wall while Quinn stood beside the boot print and looked back at…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |