| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.371 | | leniency | 0.743 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 80.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1040 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "tightly" | | 2 | "suddenly" | | 3 | "carefully" |
| |
| 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) | |
| 32.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1040 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "flickered" | | 1 | "rhythmic" | | 2 | "shimmered" | | 3 | "silence" | | 4 | "weight" | | 5 | "scanned" | | 6 | "perfect" | | 7 | "glinting" | | 8 | "etched" | | 9 | "standard" | | 10 | "flicker" | | 11 | "pulsed" |
| |
| 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 | 1 | | narrationSentences | 76 | | matches | | |
| 86.47% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | | |
| 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 | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1038 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 715 | | uniqueNames | 7 | | maxNameDensity | 2.66 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 19 | | Miller | 9 | | North | 1 | | Morris | 1 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" |
| | places | | | globalScore | 0.171 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "as if hitting a rubber wall" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1038 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 98 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 21.63 | | std | 17.79 | | cv | 0.823 | | sampleLengths | | 0 | 56 | | 1 | 58 | | 2 | 20 | | 3 | 15 | | 4 | 44 | | 5 | 11 | | 6 | 5 | | 7 | 5 | | 8 | 29 | | 9 | 47 | | 10 | 13 | | 11 | 7 | | 12 | 3 | | 13 | 37 | | 14 | 4 | | 15 | 5 | | 16 | 18 | | 17 | 61 | | 18 | 15 | | 19 | 19 | | 20 | 9 | | 21 | 44 | | 22 | 15 | | 23 | 4 | | 24 | 5 | | 25 | 12 | | 26 | 4 | | 27 | 29 | | 28 | 20 | | 29 | 35 | | 30 | 6 | | 31 | 28 | | 32 | 31 | | 33 | 12 | | 34 | 33 | | 35 | 6 | | 36 | 2 | | 37 | 13 | | 38 | 36 | | 39 | 25 | | 40 | 1 | | 41 | 19 | | 42 | 24 | | 43 | 51 | | 44 | 10 | | 45 | 7 | | 46 | 13 | | 47 | 72 |
| |
| 86.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 76 | | matches | | 0 | "been ripped" | | 1 | "were curled" | | 2 | "was etched" | | 3 | "being watched" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 134 | | matches | (empty) | |
| 55.39% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 98 | | ratio | 0.031 | | matches | | 0 | "She didn't look at the body; she looked at the dust." | | 1 | "\"The skin didn't tear; it dissolved. Someone didn't kill him for a god. They took something out of him.\"" | | 2 | "The memory of Morris—the way his body had vanished into a seam of air three years ago—pulsed in her mind." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 719 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.031988873435326845 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.011126564673157162 | |
| 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 | 10.59 | | std | 5.9 | | cv | 0.557 | | sampleLengths | | 0 | 17 | | 1 | 15 | | 2 | 13 | | 3 | 11 | | 4 | 9 | | 5 | 23 | | 6 | 6 | | 7 | 20 | | 8 | 9 | | 9 | 11 | | 10 | 3 | | 11 | 12 | | 12 | 3 | | 13 | 16 | | 14 | 5 | | 15 | 5 | | 16 | 6 | | 17 | 9 | | 18 | 11 | | 19 | 5 | | 20 | 5 | | 21 | 29 | | 22 | 14 | | 23 | 11 | | 24 | 8 | | 25 | 14 | | 26 | 7 | | 27 | 6 | | 28 | 7 | | 29 | 3 | | 30 | 8 | | 31 | 9 | | 32 | 15 | | 33 | 5 | | 34 | 4 | | 35 | 5 | | 36 | 18 | | 37 | 7 | | 38 | 8 | | 39 | 16 | | 40 | 18 | | 41 | 5 | | 42 | 7 | | 43 | 7 | | 44 | 8 | | 45 | 8 | | 46 | 11 | | 47 | 9 | | 48 | 7 | | 49 | 10 |
| |
| 44.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.32653061224489793 | | totalSentences | 98 | | uniqueOpeners | 32 | |
| 51.28% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 65 | | matches | | 0 | "Instead, a fine, iridescent powder" |
| | ratio | 0.015 | |
| 47.69% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 65 | | matches | | 0 | "She stopped, her sharp jaw" | | 1 | "He wore a tailored charcoal" | | 2 | "He looked pale, his eyes" | | 3 | "She leaned down, the worn" | | 4 | "She didn't touch the body." | | 5 | "She noticed the victim's fingers." | | 6 | "They were curled tightly, clutching" | | 7 | "She used a pen to" | | 8 | "She didn't look at the" | | 9 | "It formed a perfect, unbroken" | | 10 | "She dropped a spent shell" | | 11 | "It skittered five feet away." | | 12 | "She spotted something glinting beneath" | | 13 | "She reached out, her fingers" | | 14 | "It spun in a frantic," | | 15 | "She stopped where the light" | | 16 | "He frowned, squinting at the" | | 17 | "She held up the brass" | | 18 | "She walked back to the" | | 19 | "She looked down the tunnel." |
| | ratio | 0.431 | |
| 13.85% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 65 | | matches | | 0 | "The smell of ozone and" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "A single fluorescent bulb flickered" | | 3 | "She stopped, her sharp jaw" | | 4 | "He wore a tailored charcoal" | | 5 | "Detective Miller stood over the" | | 6 | "He looked pale, his eyes" | | 7 | "Quinn ignored him." | | 8 | "She leaned down, the worn" | | 9 | "She didn't touch the body." | | 10 | "She noticed the victim's fingers." | | 11 | "They were curled tightly, clutching" | | 12 | "She used a pen to" | | 13 | "A small, carved piece of" | | 14 | "Miller scoffed, shifting his weight." | | 15 | "Quinn stood up, her military" | | 16 | "She didn't look at the" | | 17 | "The iridescent powder wasn't just" | | 18 | "It formed a perfect, unbroken" | | 19 | "Quinn walked to the edge" |
| | ratio | 0.892 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "The needle began to spin again, faster this time, humming a low, vibrating frequency that rattled her teeth." | | 1 | "It felt warm, almost pulsing, as if it were heartbeat-syncing with her own." |
| |
| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn said, her voice flat" |
| |
| 35.71% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "Miller muttered (mutter)" | | 1 | "Quinn murmured (murmur)" | | 2 | "Quinn observed (observe)" | | 3 | "Quinn ordered (order)" |
| | dialogueSentences | 35 | | tagDensity | 0.314 | | leniency | 0.629 | | rawRatio | 0.364 | | effectiveRatio | 0.229 | |