| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.769 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 924 | | 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) | |
| 18.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 924 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "scanning" | | 2 | "throbbed" | | 3 | "resonance" | | 4 | "pulsed" | | 5 | "warmth" | | 6 | "echoed" | | 7 | "scanned" | | 8 | "measured" | | 9 | "pulse" | | 10 | "racing" | | 11 | "velvet" | | 12 | "beacon" | | 13 | "flicked" |
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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 | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 916 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.61% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 859 | | uniqueNames | 15 | | maxNameDensity | 1.05 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Park | 1 | | Carter | 1 | | Robin | 1 | | Hood | 1 | | Gate | 1 | | Grove | 3 | | Fae | 1 | | November | 1 | | Surrey | 1 | | Heartstone | 3 | | Pendant | 1 | | Earth | 1 | | Hel | 1 | | Silas | 1 | | Rory | 9 |
| | persons | | 0 | "Carter" | | 1 | "Robin" | | 2 | "Hood" | | 3 | "Gate" | | 4 | "Silas" | | 5 | "Rory" |
| | places | | 0 | "Park" | | 1 | "Grove" | | 2 | "Fae" | | 3 | "Surrey" | | 4 | "Earth" |
| | globalScore | 0.976 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like swallowing sand" |
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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 | 916 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 22.34 | | std | 14.78 | | cv | 0.662 | | sampleLengths | | 0 | 68 | | 1 | 13 | | 2 | 10 | | 3 | 14 | | 4 | 37 | | 5 | 43 | | 6 | 5 | | 7 | 16 | | 8 | 31 | | 9 | 3 | | 10 | 43 | | 11 | 9 | | 12 | 19 | | 13 | 38 | | 14 | 36 | | 15 | 7 | | 16 | 10 | | 17 | 9 | | 18 | 25 | | 19 | 29 | | 20 | 15 | | 21 | 25 | | 22 | 36 | | 23 | 51 | | 24 | 5 | | 25 | 38 | | 26 | 25 | | 27 | 23 | | 28 | 5 | | 29 | 7 | | 30 | 38 | | 31 | 26 | | 32 | 9 | | 33 | 7 | | 34 | 35 | | 35 | 18 | | 36 | 28 | | 37 | 20 | | 38 | 4 | | 39 | 23 | | 40 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 140 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 81 | | ratio | 0.086 | | matches | | 0 | "The transition hit her sternum first—a sudden drop in air pressure that made her inner ears pop." | | 1 | "Smooth, dense wood—or polished bone." | | 2 | "A wet sound answered—a suction-like slither that scraped over the damp soil." | | 3 | "The space between the eastern stones—where she had entered—had narrowed." | | 4 | "They were not green or yellow; they fell as fine black ash, disintegrating before touching her skin." | | 5 | "Two points of milky light ignited within its center—eyes without pupils, fixed squarely on the pulsing red gem resting against her chest." | | 6 | "From the dirt around the monoliths, tiny white fingers—thin as hemlock stems—pushed up through the moss, reaching toward her boots." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 871 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.02525832376578645 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006888633754305396 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 11.31 | | std | 5.75 | | cv | 0.509 | | sampleLengths | | 0 | 13 | | 1 | 19 | | 2 | 18 | | 3 | 18 | | 4 | 13 | | 5 | 10 | | 6 | 14 | | 7 | 6 | | 8 | 17 | | 9 | 14 | | 10 | 6 | | 11 | 16 | | 12 | 21 | | 13 | 5 | | 14 | 16 | | 15 | 11 | | 16 | 7 | | 17 | 13 | | 18 | 3 | | 19 | 15 | | 20 | 6 | | 21 | 22 | | 22 | 9 | | 23 | 7 | | 24 | 12 | | 25 | 4 | | 26 | 5 | | 27 | 16 | | 28 | 10 | | 29 | 3 | | 30 | 21 | | 31 | 8 | | 32 | 2 | | 33 | 5 | | 34 | 7 | | 35 | 2 | | 36 | 8 | | 37 | 9 | | 38 | 11 | | 39 | 14 | | 40 | 18 | | 41 | 11 | | 42 | 15 | | 43 | 16 | | 44 | 9 | | 45 | 12 | | 46 | 24 | | 47 | 4 | | 48 | 10 | | 49 | 18 |
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| 64.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.43209876543209874 | | totalSentences | 81 | | uniqueOpeners | 35 | |
| 46.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 72 | | matches | | | ratio | 0.014 | |
| 92.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 72 | | matches | | 0 | "She thumbed the crescent scar" | | 1 | "She reached the dense thicket" | | 2 | "Her breath condensed into a" | | 3 | "She pushed through the tangled" | | 4 | "she murmured, scanning the damp" | | 5 | "She reached inside her wool" | | 6 | "Her voice lacked resonance inside" | | 7 | "It sounded thin, like a" | | 8 | "It was the arid, suffocating" | | 9 | "Her fingernails scraped against something" | | 10 | "Her knuckles hovered an inch" | | 11 | "she asked, rising to her" | | 12 | "They pointed south, pooling around" | | 13 | "she said, narrowing her gaze" | | 14 | "It circled behind the southern" | | 15 | "She turned her head." | | 16 | "She reached for her coat" | | 17 | "They were not green or" | | 18 | "she called out" | | 19 | "It possessed no clear limbs," |
| | ratio | 0.319 | |
| 29.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 72 | | matches | | 0 | "Richmond Park stretched into the" | | 1 | "Aurora Carter skirted the wrought-iron" | | 2 | "She thumbed the crescent scar" | | 3 | "London usually hummed with diesel" | | 4 | "She reached the dense thicket" | | 5 | "Rory said to the empty" | | 6 | "Her breath condensed into a" | | 7 | "She pushed through the tangled" | | 8 | "The transition hit her sternum" | | 9 | "The suburban rumble of distant" | | 10 | "Rory stepped into the circle." | | 11 | "she murmured, scanning the damp" | | 12 | "She reached inside her wool" | | 13 | "The silver chain rattled against" | | 14 | "The thumbnail-sized crimson gem lay" | | 15 | "A wave of heat surged" | | 16 | "Rory gasped, nearly dropping the" | | 17 | "The gem ignited with an" | | 18 | "Her voice lacked resonance inside" | | 19 | "It sounded thin, like a" |
| | ratio | 0.861 | |
| 69.44% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 72 | | matches | | 0 | "Before her lay the Fae" |
| | ratio | 0.014 | |
| 79.37% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 4 | | matches | | 0 | "Her breath condensed into a jagged cloud that hung stationary instead of drifting away." | | 1 | "The transition hit her sternum first—a sudden drop in air pressure that made her inner ears pop." | | 2 | "A wet sound answered—a suction-like slither that scraped over the damp soil." | | 3 | "The bark on the adjacent trunks bled thick black resin that bubbled in the red light of her pendant." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory said, her cool demeanor fracturing around the edges" |
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| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 13 | | tagDensity | 0.692 | | leniency | 1 | | rawRatio | 0.222 | | effectiveRatio | 0.222 | |