| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 39 | | tagDensity | 0.41 | | leniency | 0.821 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1019 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 41.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1019 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "echoing" | | 1 | "scanned" | | 2 | "stomach" | | 3 | "footsteps" | | 4 | "database" | | 5 | "chill" | | 6 | "warmth" | | 7 | "flickered" | | 8 | "constructed" | | 9 | "echoed" | | 10 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 65 | | matches | | |
| 98.90% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 65 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1007 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 64.60% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 644 | | uniqueNames | 7 | | maxNameDensity | 1.71 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 2 | | Harlow | 11 | | Quinn | 1 | | Young | 1 | | London | 1 | | Greek | 1 | | Fear | 1 |
| | persons | | | places | | | globalScore | 0.646 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.979 | | wordCount | 1007 | | matches | | 0 | "not random, but deliberate" | | 1 | "not just any compass, but one with a brass casing" | | 2 | "not darkness, but a faint, pulsing light" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 26.5 | | std | 13.91 | | cv | 0.525 | | sampleLengths | | 0 | 45 | | 1 | 36 | | 2 | 39 | | 3 | 47 | | 4 | 43 | | 5 | 23 | | 6 | 58 | | 7 | 22 | | 8 | 12 | | 9 | 51 | | 10 | 20 | | 11 | 5 | | 12 | 22 | | 13 | 34 | | 14 | 5 | | 15 | 30 | | 16 | 7 | | 17 | 37 | | 18 | 4 | | 19 | 37 | | 20 | 30 | | 21 | 36 | | 22 | 25 | | 23 | 25 | | 24 | 10 | | 25 | 36 | | 26 | 41 | | 27 | 23 | | 28 | 19 | | 29 | 44 | | 30 | 13 | | 31 | 15 | | 32 | 29 | | 33 | 25 | | 34 | 11 | | 35 | 19 | | 36 | 22 | | 37 | 7 |
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| 83.67% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 65 | | matches | | 0 | "been torn" | | 1 | "were reversed" | | 2 | "were supposed" | | 3 | "been constructed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 124 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 89 | | ratio | 0.067 | | matches | | 0 | "Not fresh blood—the copper smell that lingers when it's been pooling for hours." | | 1 | "\"The call said unusual circumstances. That usually means your kind of case.\" I scanned the platform—discarded newspapers, graffiti-covered tiles, the usual urban decay." | | 2 | "His shirt had been torn open, revealing a pattern carved into his chest—not random, but deliberate." | | 3 | "The victim's position was wrong—too posed, like someone had arranged him after death." | | 4 | "Atop it sat a compass—not just any compass, but one with a brass casing and a needle that didn't point north." | | 5 | "Somewhere in the darkness ahead, something answered—a sound like stone grinding against stone." |
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| 98.24% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 357 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.04201680672268908 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.011204481792717087 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 11.31 | | std | 7.12 | | cv | 0.63 | | sampleLengths | | 0 | 14 | | 1 | 13 | | 2 | 18 | | 3 | 23 | | 4 | 13 | | 5 | 12 | | 6 | 23 | | 7 | 4 | | 8 | 4 | | 9 | 18 | | 10 | 9 | | 11 | 16 | | 12 | 10 | | 13 | 9 | | 14 | 1 | | 15 | 3 | | 16 | 13 | | 17 | 7 | | 18 | 11 | | 19 | 12 | | 20 | 7 | | 21 | 13 | | 22 | 28 | | 23 | 10 | | 24 | 22 | | 25 | 11 | | 26 | 1 | | 27 | 13 | | 28 | 26 | | 29 | 12 | | 30 | 3 | | 31 | 8 | | 32 | 9 | | 33 | 3 | | 34 | 2 | | 35 | 20 | | 36 | 2 | | 37 | 2 | | 38 | 15 | | 39 | 10 | | 40 | 7 | | 41 | 5 | | 42 | 20 | | 43 | 10 | | 44 | 6 | | 45 | 1 | | 46 | 18 | | 47 | 19 | | 48 | 4 | | 49 | 11 |
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| 74.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4606741573033708 | | totalSentences | 89 | | uniqueOpeners | 41 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 59 | | matches | | 0 | "Somewhere in the darkness ahead," |
| | ratio | 0.017 | |
| 50.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 59 | | matches | | 0 | "I paused on the threshold," | | 1 | "I pulled on latex gloves," | | 2 | "I scanned the platform—discarded newspapers," | | 3 | "She led me past the" | | 4 | "His shirt had been torn" | | 5 | "I muttered, crouching beside him" | | 6 | "I touched a gloved finger" | | 7 | "I stood, taking in the" | | 8 | "I asked, already knowing the" | | 9 | "She watched me carefully" | | 10 | "I walked to the edge" | | 11 | "I pointed to fresh scratches" | | 12 | "She glanced at it, then" | | 13 | "My stomach dropped." | | 14 | "She pulled out an evidence" | | 15 | "I moved to the opposite" | | 16 | "I pointed to a cleaner" | | 17 | "I crouched, examining the floor" | | 18 | "I stood, brushing dust from" | | 19 | "She checked it, then met" |
| | ratio | 0.424 | |
| 61.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 59 | | matches | | 0 | "The metallic tang of blood" | | 1 | "I paused on the threshold," | | 2 | "Detective Harlow Quinn stood in" | | 3 | "I pulled on latex gloves," | | 4 | "I scanned the platform—discarded newspapers," | | 5 | "Harlow's sharp jawline tightened." | | 6 | "She led me past the" | | 7 | "His shirt had been torn" | | 8 | "I muttered, crouching beside him" | | 9 | "The symbols were reversed, written" | | 10 | "I touched a gloved finger" | | 11 | "Harlow's bearing shifted, military precision" | | 12 | "I stood, taking in the" | | 13 | "The victim's position was wrong—too" | | 14 | "The platform itself showed signs" | | 15 | "I asked, already knowing the" | | 16 | "She watched me carefully" | | 17 | "I walked to the edge" | | 18 | "I pointed to fresh scratches" | | 19 | "Harlow's phone buzzed." |
| | ratio | 0.797 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "Detective Harlow Quinn stood, her leather watch catching the weak emergency lighting" |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "Nothing screamed (scream)" | | 1 | "I muttered (mutter)" | | 2 | "I whispered (whisper)" |
| | dialogueSentences | 39 | | tagDensity | 0.128 | | leniency | 0.256 | | rawRatio | 0.6 | | effectiveRatio | 0.154 | |