| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said slowly [slowly]" |
| | dialogueSentences | 40 | | tagDensity | 0.475 | | leniency | 0.95 | | rawRatio | 0.053 | | effectiveRatio | 0.05 | |
| 79.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 982 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "really" | | 1 | "slowly" | | 2 | "barely above a whisper" |
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| 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) | |
| 28.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 982 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "dancing" | | 1 | "chill" | | 2 | "etched" | | 3 | "fragmented" | | 4 | "eyebrow" | | 5 | "intricate" | | 6 | "fractured" | | 7 | "intensity" | | 8 | "racing" | | 9 | "whisper" | | 10 | "pulsed" | | 11 | "echoed" |
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| 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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | 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 | 3 | | markdownWords | 3 | | totalWords | 981 | | ratio | 0.003 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 73.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 590 | | uniqueNames | 5 | | maxNameDensity | 1.53 | | worstName | "Davies" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Davies" | | discoveredNames | | London | 1 | | Patek | 1 | | Philippe | 1 | | Davies | 9 | | Eva | 4 |
| | persons | | 0 | "Patek" | | 1 | "Philippe" | | 2 | "Davies" | | 3 | "Eva" |
| | places | | | globalScore | 0.737 | | windowScore | 0.833 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 1 | | matches | | 0 | "as if searching for something elusive" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 981 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 27.25 | | std | 14.46 | | cv | 0.531 | | sampleLengths | | 0 | 34 | | 1 | 43 | | 2 | 53 | | 3 | 43 | | 4 | 7 | | 5 | 39 | | 6 | 11 | | 7 | 36 | | 8 | 37 | | 9 | 21 | | 10 | 14 | | 11 | 46 | | 12 | 13 | | 13 | 54 | | 14 | 41 | | 15 | 17 | | 16 | 16 | | 17 | 50 | | 18 | 19 | | 19 | 29 | | 20 | 8 | | 21 | 33 | | 22 | 8 | | 23 | 47 | | 24 | 13 | | 25 | 23 | | 26 | 16 | | 27 | 33 | | 28 | 10 | | 29 | 17 | | 30 | 18 | | 31 | 33 | | 32 | 43 | | 33 | 11 | | 34 | 33 | | 35 | 12 |
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| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 67 | | matches | | 0 | "was frozen" | | 1 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 104 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 88 | | ratio | 0.091 | | matches | | 0 | "The air tasted of mildew and something indefinably older—a subterranean musk like dried roots and forgotten things." | | 1 | "Expensive shoes—regrettably, now scuffed and stained." | | 2 | "His expensive watch — a Patek Philippe — was still on his wrist." | | 3 | "The positioning of the body—deliberate, almost ceremonial." | | 4 | "The lack of struggle—indicative of either a powerful assailant or a willing victim." | | 5 | "And the needle wasn't just spinning; it was vibrating, almost humming with faint energy." | | 6 | "It was the residue clinging to the hatch’s edge—a viscous, shimmering substance that pulsed with a faint, internal light." | | 7 | "A small, intricately carved wooden doll - violently snapped in two." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 453 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.039735099337748346 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.019867549668874173 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 11.15 | | std | 6.84 | | cv | 0.613 | | sampleLengths | | 0 | 34 | | 1 | 17 | | 2 | 15 | | 3 | 11 | | 4 | 12 | | 5 | 22 | | 6 | 19 | | 7 | 15 | | 8 | 8 | | 9 | 6 | | 10 | 7 | | 11 | 5 | | 12 | 2 | | 13 | 6 | | 14 | 1 | | 15 | 5 | | 16 | 5 | | 17 | 14 | | 18 | 13 | | 19 | 2 | | 20 | 8 | | 21 | 3 | | 22 | 13 | | 23 | 10 | | 24 | 1 | | 25 | 1 | | 26 | 11 | | 27 | 6 | | 28 | 31 | | 29 | 8 | | 30 | 13 | | 31 | 5 | | 32 | 9 | | 33 | 4 | | 34 | 8 | | 35 | 7 | | 36 | 13 | | 37 | 14 | | 38 | 13 | | 39 | 28 | | 40 | 18 | | 41 | 8 | | 42 | 4 | | 43 | 12 | | 44 | 11 | | 45 | 14 | | 46 | 17 | | 47 | 5 | | 48 | 11 | | 49 | 30 |
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| 78.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5113636363636364 | | totalSentences | 88 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 50.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 59 | | matches | | 0 | "They cast dancing shadows that" | | 1 | "He was already snapping photos" | | 2 | "I knelt beside the body." | | 3 | "His face was frozen in" | | 4 | "His expensive watch — a" | | 5 | "I muttered, ignoring" | | 6 | "I pointed to the pattern" | | 7 | "He gestured towards a faded" | | 8 | "I said, my voice tight" | | 9 | "I didn't bother responding." | | 10 | "My gaze swept the platform" | | 11 | "I asked, my attention drawn" | | 12 | "I took the compass." | | 13 | "It was heavier than it" | | 14 | "I ran a gloved finger" | | 15 | "She looked pale, but her" | | 16 | "she said, her voice unusually" | | 17 | "She adjusted her glasses, her" | | 18 | "I said, my mind racing" | | 19 | "She took a slow breath" |
| | ratio | 0.424 | |
| 27.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 59 | | matches | | 0 | "The air tasted of mildew" | | 1 | "Rainwater pooled on the tracks," | | 2 | "They cast dancing shadows that" | | 3 | "Davies smirked, his breath misting" | | 4 | "He was already snapping photos" | | 5 | "The body lay sprawled on" | | 6 | "A single, precise wound punctured" | | 7 | "Davies stated, already cataloguing details" | | 8 | "I knelt beside the body." | | 9 | "His face was frozen in" | | 10 | "His expensive watch — a" | | 11 | "I muttered, ignoring" | | 12 | "I pointed to the pattern" | | 13 | "A series of swirling lines," | | 14 | "Davies zoomed in with his" | | 15 | "He gestured towards a faded" | | 16 | "I said, my voice tight" | | 17 | "Davies raised a skeptical eyebrow." | | 18 | "I didn't bother responding." | | 19 | "My gaze swept the platform" |
| | ratio | 0.864 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 3 | | matches | | 0 | "Rainwater pooled on the tracks, reflecting the flickering gas lamps that lined the tunnel walls." | | 1 | "He was already snapping photos of the scene with the grim efficiency of a man who’d seen too much of London’s underbelly." | | 2 | "The casing was etched with protective sigils, and the needle spun erratically, as if searching for something elusive." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 6 | | matches | | 0 | "Davies smirked, his breath misting in the chill air" | | 1 | "I said, my voice tight" | | 2 | "she said, her voice unusually low" | | 3 | "I said, my mind racing" | | 4 | "Davies asked, his face losing its dismissive composure" | | 5 | "I said, my hand instinctively reaching for my holster" |
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| 75.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "Davies stated (state)" | | 1 | "I muttered (mutter)" | | 2 | "I retorted (retort)" |
| | dialogueSentences | 40 | | tagDensity | 0.325 | | leniency | 0.65 | | rawRatio | 0.231 | | effectiveRatio | 0.15 | |