| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.348 | | leniency | 0.696 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 608 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 608 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "scanning" | | 1 | "eyebrow" | | 2 | "racing" | | 3 | "etched" | | 4 | "footsteps" | | 5 | "echoed" | | 6 | "complex" | | 7 | "sinister" | | 8 | "dancing" | | 9 | "reminder" | | 10 | "jaw clenched" | | 11 | "unravel" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "jaw clenched" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 54 | | matches | (empty) | |
| 63.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 54 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 606 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 456 | | uniqueNames | 13 | | maxNameDensity | 4.82 | | worstName | "Quinn" | | maxWindowNameDensity | 7 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 22 | | Tube | 1 | | Davies | 9 | | Veil | 4 | | Compass | 3 | | Greek | 1 | | Market | 1 | | Detective | 2 | | Sergeant | 1 | | Rachel | 1 | | Morse | 6 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davies" | | 3 | "Sergeant" | | 4 | "Rachel" | | 5 | "Morse" | | 6 | "Morris" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | 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 | 606 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 18.36 | | std | 9.86 | | cv | 0.537 | | sampleLengths | | 0 | 32 | | 1 | 11 | | 2 | 27 | | 3 | 13 | | 4 | 6 | | 5 | 41 | | 6 | 9 | | 7 | 13 | | 8 | 10 | | 9 | 12 | | 10 | 29 | | 11 | 8 | | 12 | 14 | | 13 | 20 | | 14 | 16 | | 15 | 15 | | 16 | 12 | | 17 | 41 | | 18 | 22 | | 19 | 8 | | 20 | 23 | | 21 | 24 | | 22 | 21 | | 23 | 6 | | 24 | 16 | | 25 | 40 | | 26 | 17 | | 27 | 32 | | 28 | 12 | | 29 | 12 | | 30 | 12 | | 31 | 12 | | 32 | 20 |
| |
| 98.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 54 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 79 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 68 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 457 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.028446389496717725 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.015317286652078774 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 8.91 | | std | 5.51 | | cv | 0.619 | | sampleLengths | | 0 | 14 | | 1 | 8 | | 2 | 8 | | 3 | 1 | | 4 | 1 | | 5 | 11 | | 6 | 10 | | 7 | 17 | | 8 | 3 | | 9 | 10 | | 10 | 2 | | 11 | 4 | | 12 | 6 | | 13 | 8 | | 14 | 13 | | 15 | 11 | | 16 | 3 | | 17 | 3 | | 18 | 6 | | 19 | 7 | | 20 | 6 | | 21 | 4 | | 22 | 6 | | 23 | 4 | | 24 | 8 | | 25 | 10 | | 26 | 11 | | 27 | 8 | | 28 | 8 | | 29 | 5 | | 30 | 9 | | 31 | 14 | | 32 | 2 | | 33 | 4 | | 34 | 10 | | 35 | 6 | | 36 | 4 | | 37 | 11 | | 38 | 4 | | 39 | 8 | | 40 | 13 | | 41 | 10 | | 42 | 18 | | 43 | 10 | | 44 | 12 | | 45 | 8 | | 46 | 14 | | 47 | 9 | | 48 | 6 | | 49 | 18 |
| |
| 73.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.4411764705882353 | | totalSentences | 68 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 5 | | totalSentences | 49 | | matches | | 0 | "she asked, gaze locked on" | | 1 | "she said, voice low" | | 2 | "She'd been tracking its appearances" | | 3 | "She couldn't shake the feeling" | | 4 | "She would unravel the truth," |
| | ratio | 0.102 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 49 | | matches | | 0 | "Detective Harlow Quinn crouched beside" | | 1 | "The air reeked of mildew" | | 2 | "A faint scent of copper" | | 3 | "she asked, gaze locked on" | | 4 | "Davies replied, camera slung around" | | 5 | "Quinn's eyes narrowed." | | 6 | "Quinn's attention shifted to the" | | 7 | "A worn leather satchel lay" | | 8 | "The Veil Compass." | | 9 | "Quinn's gut tightened." | | 10 | "This wasn't just any crime" | | 11 | "she said, voice low" | | 12 | "Davies raised an eyebrow." | | 13 | "Quinn's sharp jawline clenched." | | 14 | "The tunnel's walls were covered" | | 15 | "A lone, flickering fluorescent light" | | 16 | "Quinn asked, mind racing" | | 17 | "Quinn's eyes locked onto a" | | 18 | "A crude, amateurish scrawl." | | 19 | "Quinn said, rising to her" |
| | ratio | 0.857 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 49 | | matches | | 0 | "Yet, Quinn's gut still whispered" |
| | ratio | 0.02 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 3 | | matches | | 0 | "she asked, gaze locked on the victim" | | 1 | "she said, voice low" | | 2 | "Morse asked, her voice firm" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.348 | | leniency | 0.696 | | rawRatio | 0 | | effectiveRatio | 0 | |