| 40.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "He followed anyway [anyway]" | | 1 | "Static answered again [again]" |
| | dialogueSentences | 25 | | tagDensity | 0.44 | | leniency | 0.88 | | rawRatio | 0.182 | | effectiveRatio | 0.16 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1651 | | 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) | |
| 60.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1651 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulse" | | 1 | "gloom" | | 2 | "etch" | | 3 | "chill" | | 4 | "velvet" | | 5 | "chilled" | | 6 | "etched" | | 7 | "furrowing" | | 8 | "quivered" | | 9 | "pulsed" | | 10 | "scanned" | | 11 | "vibrated" | | 12 | "fluttered" |
| |
| 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 | 124 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 124 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 137 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1651 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.76% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1221 | | uniqueNames | 11 | | maxNameDensity | 1.06 | | worstName | "Ryland" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Veil | 1 | | Market | 1 | | Tube | 2 | | Camden | 3 | | Quinn | 10 | | Ryland | 13 | | Mortar | 1 | | Static | 2 | | Thames | 1 | | Next | 1 | | Offering | 1 |
| | persons | | 0 | "Market" | | 1 | "Camden" | | 2 | "Quinn" | | 3 | "Ryland" | | 4 | "Static" |
| | places | | | globalScore | 0.968 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | 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 | 1651 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 137 | | matches | (empty) | |
| 87.77% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 53.26 | | std | 24.35 | | cv | 0.457 | | sampleLengths | | 0 | 93 | | 1 | 55 | | 2 | 68 | | 3 | 13 | | 4 | 44 | | 5 | 75 | | 6 | 82 | | 7 | 38 | | 8 | 72 | | 9 | 29 | | 10 | 67 | | 11 | 5 | | 12 | 23 | | 13 | 63 | | 14 | 28 | | 15 | 69 | | 16 | 70 | | 17 | 34 | | 18 | 86 | | 19 | 35 | | 20 | 61 | | 21 | 28 | | 22 | 87 | | 23 | 93 | | 24 | 50 | | 25 | 60 | | 26 | 21 | | 27 | 23 | | 28 | 70 | | 29 | 44 | | 30 | 65 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 214 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 137 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1226 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.037520391517128875 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004078303425774877 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 137 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 137 | | mean | 12.05 | | std | 8.83 | | cv | 0.733 | | sampleLengths | | 0 | 20 | | 1 | 32 | | 2 | 18 | | 3 | 23 | | 4 | 23 | | 5 | 32 | | 6 | 13 | | 7 | 12 | | 8 | 29 | | 9 | 3 | | 10 | 1 | | 11 | 6 | | 12 | 4 | | 13 | 13 | | 14 | 6 | | 15 | 38 | | 16 | 2 | | 17 | 14 | | 18 | 10 | | 19 | 5 | | 20 | 13 | | 21 | 3 | | 22 | 15 | | 23 | 13 | | 24 | 24 | | 25 | 10 | | 26 | 22 | | 27 | 2 | | 28 | 24 | | 29 | 7 | | 30 | 31 | | 31 | 43 | | 32 | 12 | | 33 | 3 | | 34 | 14 | | 35 | 3 | | 36 | 26 | | 37 | 5 | | 38 | 9 | | 39 | 24 | | 40 | 10 | | 41 | 19 | | 42 | 3 | | 43 | 2 | | 44 | 5 | | 45 | 18 | | 46 | 20 | | 47 | 5 | | 48 | 16 | | 49 | 3 |
| |
| 83.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5182481751824818 | | totalSentences | 137 | | uniqueOpeners | 71 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 112 | | matches | | 0 | "Instead, a raw brand of" | | 1 | "Instead she dug into her" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 112 | | matches | | 0 | "She sniffed once." | | 1 | "Her leather watch ticked once" | | 2 | "She lifted it." | | 3 | "She set the bowl down" | | 4 | "She pressed harder." | | 5 | "Her military stance held steady." | | 6 | "She refused the old ache" | | 7 | "She held the open compass" | | 8 | "She scraped a flake free" | | 9 | "She held the flake near" | | 10 | "She rose with the compass" | | 11 | "She stepped into the alcove" | | 12 | "She located the next scuff" | | 13 | "He followed anyway, radio still" | | 14 | "She checked the compass again." | | 15 | "She scanned the nearest ledger." | | 16 | "His radio crackled and he" | | 17 | "She stood and angled it" | | 18 | "She grabbed the nearest empty" | | 19 | "She looked up." |
| | ratio | 0.179 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 112 | | matches | | 0 | "Quinn's gloved fingers pressed hard" | | 1 | "The woman lay half-sprawled across" | | 2 | "Stall-holders muttered and shuffled back" | | 3 | "A bone token lingered unspent" | | 4 | "DS Ryland hovered two paces" | | 5 | "Quinn ignored him and rolled" | | 6 | "The veins told their own" | | 7 | "She sniffed once." | | 8 | "Ozone after a storm." | | 9 | "Ryland snorted and flipped a" | | 10 | "Her leather watch ticked once" | | 11 | "Jars of dried root and" | | 12 | "A single brass bowl sat" | | 13 | "She lifted it." | | 14 | "Residue crusted the bottom in" | | 15 | "Residue that should have dissolved" | | 16 | "She set the bowl down" | | 17 | "A short curtain of heavy" | | 18 | "The metal felt wrong under" | | 19 | "Ryland's boots scraped grit as" |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 112 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 1 | | matches | | 0 | "Instead, a raw brand of interlocking circles seared deep into the flesh just below the elbow, edges still blistered as if the iron had kissed skin only hours ea…" |
| |
| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "DS Ryland hovered, his notebook open but his pen idle" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.12 | | leniency | 0.24 | | rawRatio | 0 | | effectiveRatio | 0 | |