| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.323 | | leniency | 0.645 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 74.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 792 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "carefully" | | 1 | "really" | | 2 | "deliberately" | | 3 | "quickly" |
| |
| 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) | |
| 87.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 792 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 784 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 492 | | uniqueNames | 6 | | maxNameDensity | 0.81 | | worstName | "Davies" | | maxWindowNameDensity | 2 | | worstWindowName | "Davies" | | discoveredNames | | Thames | 3 | | Victorian | 1 | | Detective | 1 | | Inspector | 1 | | Morrison | 3 | | Davies | 4 |
| | persons | | 0 | "Inspector" | | 1 | "Morrison" | | 2 | "Davies" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 72.45% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.276 | | wordCount | 784 | | matches | | 0 | "Not the tourist-friendly scent of river cruises and street performers, but something older" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 71.69% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 27.03 | | std | 10.84 | | cv | 0.401 | | sampleLengths | | 0 | 36 | | 1 | 39 | | 2 | 20 | | 3 | 17 | | 4 | 41 | | 5 | 33 | | 6 | 25 | | 7 | 17 | | 8 | 33 | | 9 | 5 | | 10 | 31 | | 11 | 45 | | 12 | 13 | | 13 | 33 | | 14 | 9 | | 15 | 44 | | 16 | 9 | | 17 | 26 | | 18 | 16 | | 19 | 20 | | 20 | 39 | | 21 | 29 | | 22 | 28 | | 23 | 28 | | 24 | 33 | | 25 | 14 | | 26 | 32 | | 27 | 36 | | 28 | 33 |
| |
| 99.69% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 63 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 82 | | matches | | |
| 74.01% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 83 | | ratio | 0.024 | | matches | | 0 | "The girl—couldn't have been more than twenty—lay half-submerged in the Thames mud, her red hair fanned out like spilled paint." | | 1 | "But the way she lay—arms crossed over her chest like a Victorian mourner—told me this wasn't a simple drowning." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 498 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.030120481927710843 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.004016064257028112 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 9.45 | | std | 6.1 | | cv | 0.646 | | sampleLengths | | 0 | 6 | | 1 | 13 | | 2 | 17 | | 3 | 11 | | 4 | 20 | | 5 | 6 | | 6 | 2 | | 7 | 13 | | 8 | 7 | | 9 | 4 | | 10 | 13 | | 11 | 11 | | 12 | 5 | | 13 | 6 | | 14 | 19 | | 15 | 12 | | 16 | 9 | | 17 | 12 | | 18 | 8 | | 19 | 17 | | 20 | 6 | | 21 | 11 | | 22 | 19 | | 23 | 7 | | 24 | 2 | | 25 | 5 | | 26 | 3 | | 27 | 2 | | 28 | 5 | | 29 | 6 | | 30 | 3 | | 31 | 6 | | 32 | 11 | | 33 | 14 | | 34 | 12 | | 35 | 7 | | 36 | 1 | | 37 | 11 | | 38 | 8 | | 39 | 5 | | 40 | 7 | | 41 | 9 | | 42 | 4 | | 43 | 13 | | 44 | 2 | | 45 | 7 | | 46 | 11 | | 47 | 33 | | 48 | 4 | | 49 | 5 |
| |
| 78.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5060240963855421 | | totalSentences | 83 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 55 | | matches | | 0 | "Too many eyes." | | 1 | "Too many teeth in the" | | 2 | "Somewhere in the dark, a" |
| | ratio | 0.055 | |
| 89.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 55 | | matches | | 0 | "I crouched beside the body," | | 1 | "I didn't look up." | | 2 | "He always moved like a" | | 3 | "I pointed to the mud" | | 4 | "I pulled on latex gloves" | | 5 | "Her fingers were interlaced with" | | 6 | "I turned the coin over." | | 7 | "I examined the symbol more" | | 8 | "It resembled a compass rose," | | 9 | "I stood, wiping mud from" | | 10 | "He raised an eyebrow." | | 11 | "I gestured at the scene" | | 12 | "I pointed to the girl's" | | 13 | "I gestured to the body." | | 14 | "She looked up at me" | | 15 | "I shook my head." | | 16 | "I pointed to the trail" | | 17 | "I met her gaze." |
| | ratio | 0.327 | |
| 87.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 55 | | matches | | 0 | "The Thames smelled different at" | | 1 | "Something that crawled up from" | | 2 | "I crouched beside the body," | | 3 | "The girl—couldn't have been more" | | 4 | "Something about her position felt" | | 5 | "A uniformed officer hovered at" | | 6 | "I didn't look up." | | 7 | "The mud sucked at my" | | 8 | "Davies materialized beside me, notebook" | | 9 | "He always moved like a" | | 10 | "I pointed to the mud" | | 11 | "Davies crouched down, studying the" | | 12 | "I pulled on latex gloves" | | 13 | "Her fingers were interlaced with" | | 14 | "Davies leaned closer." | | 15 | "I turned the coin over." | | 16 | "The face on it was" | | 17 | "The coin slipped from my" | | 18 | "A symbol carved into the" | | 19 | "The lines were still raised," |
| | ratio | 0.745 | |
| 90.91% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 55 | | matches | | 0 | "As if someone had walked" |
| | ratio | 0.018 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |