| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 90.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2136 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "lazily" | | 1 | "slowly" | | 2 | "completely" | | 3 | "softly" |
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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) | |
| 27.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2136 | | totalAiIsms | 31 | | found | | | highlights | | 0 | "weight" | | 1 | "pulse" | | 2 | "throbbed" | | 3 | "perfect" | | 4 | "silence" | | 5 | "scanning" | | 6 | "pulsed" | | 7 | "scanned" | | 8 | "gloom" | | 9 | "footsteps" | | 10 | "beacon" | | 11 | "echo" | | 12 | "vibrated" | | 13 | "footfall" | | 14 | "warmth" | | 15 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 341 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 341 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 341 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 19 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2136 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 2136 | | uniqueNames | 10 | | maxNameDensity | 0.89 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Pendant | 1 | | Grove | 6 | | London | 1 | | Hel | 1 | | Rory | 19 | | Heavy | 3 | | Deliberate | 3 |
| | persons | | 0 | "Pendant" | | 1 | "Rory" | | 2 | "Heavy" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "London" | | 4 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 158 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like it moved beneath her" | | 1 | "looked like woven shadows, the fabric shi" | | 2 | "felt like cold water, heavy and suffoca" |
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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 | 2136 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 341 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 28.86 | | std | 20.03 | | cv | 0.694 | | sampleLengths | | 0 | 85 | | 1 | 11 | | 2 | 88 | | 3 | 45 | | 4 | 32 | | 5 | 72 | | 6 | 27 | | 7 | 60 | | 8 | 2 | | 9 | 63 | | 10 | 46 | | 11 | 51 | | 12 | 5 | | 13 | 5 | | 14 | 53 | | 15 | 44 | | 16 | 31 | | 17 | 56 | | 18 | 41 | | 19 | 20 | | 20 | 33 | | 21 | 31 | | 22 | 45 | | 23 | 46 | | 24 | 13 | | 25 | 36 | | 26 | 55 | | 27 | 50 | | 28 | 50 | | 29 | 36 | | 30 | 42 | | 31 | 10 | | 32 | 51 | | 33 | 11 | | 34 | 36 | | 35 | 38 | | 36 | 24 | | 37 | 36 | | 38 | 34 | | 39 | 21 | | 40 | 32 | | 41 | 21 | | 42 | 24 | | 43 | 41 | | 44 | 41 | | 45 | 3 | | 46 | 40 | | 47 | 38 | | 48 | 10 | | 49 | 33 |
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| 91.89% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 13 | | totalSentences | 341 | | matches | | 0 | "was gone" | | 1 | "were gone" | | 2 | "was carved" | | 3 | "was made" | | 4 | "was gone" | | 5 | "were made" | | 6 | "were gone" | | 7 | "were gone" | | 8 | "was gone" | | 9 | "was gone" | | 10 | "was gone" | | 11 | "were gone" | | 12 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 401 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 341 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2138 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 55 | | adverbRatio | 0.025724976613657625 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.007483629560336763 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 341 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 341 | | mean | 6.26 | | std | 3.77 | | cv | 0.602 | | sampleLengths | | 0 | 15 | | 1 | 16 | | 2 | 16 | | 3 | 19 | | 4 | 19 | | 5 | 4 | | 6 | 7 | | 7 | 5 | | 8 | 9 | | 9 | 15 | | 10 | 13 | | 11 | 4 | | 12 | 12 | | 13 | 15 | | 14 | 15 | | 15 | 6 | | 16 | 17 | | 17 | 11 | | 18 | 2 | | 19 | 5 | | 20 | 4 | | 21 | 9 | | 22 | 2 | | 23 | 5 | | 24 | 7 | | 25 | 5 | | 26 | 2 | | 27 | 1 | | 28 | 1 | | 29 | 4 | | 30 | 13 | | 31 | 9 | | 32 | 6 | | 33 | 16 | | 34 | 7 | | 35 | 17 | | 36 | 5 | | 37 | 6 | | 38 | 3 | | 39 | 2 | | 40 | 1 | | 41 | 5 | | 42 | 5 | | 43 | 9 | | 44 | 8 | | 45 | 4 | | 46 | 1 | | 47 | 10 | | 48 | 9 | | 49 | 13 |
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| 27.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 78 | | diversityRatio | 0.08504398826979472 | | totalSentences | 341 | | uniqueOpeners | 29 | |
| 76.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 305 | | matches | | 0 | "Just the sound of her" | | 1 | "Too tall for a man." | | 2 | "Only a wall of thorns" | | 3 | "Just the dark wood pressing" | | 4 | "Only the thorns remained." | | 5 | "Just a smooth surface of" | | 6 | "Just a dull red stone" |
| | ratio | 0.023 | |
| 88.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 100 | | totalSentences | 305 | | matches | | 0 | "She paused, her boots sinking" | | 1 | "She checked her watch." | | 2 | "It throbbed against her skin," | | 3 | "She reached into her pocket" | | 4 | "She moved deeper into the" | | 5 | "She turned her head slowly," | | 6 | "She took a step forward," | | 7 | "Her hand drifted to the" | | 8 | "It pulsed faster, the heat" | | 9 | "She looked down at the" | | 10 | "She scanned the tree line." | | 11 | "It vanished when she blinked." | | 12 | "She steadied herself, heart hammering" | | 13 | "She needed to leave." | | 14 | "She turned toward the entrance," | | 15 | "Her boots slammed against the" | | 16 | "She clutched it through her" | | 17 | "She skidded to a halt," | | 18 | "They shifted, weaving together to" | | 19 | "It pressed into her ears," |
| | ratio | 0.328 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 290 | | totalSentences | 305 | | matches | | 0 | "The ancient oak standing stones" | | 1 | "Aurora stepped past the boundary," | | 2 | "The air inside the Grove" | | 3 | "She paused, her boots sinking" | | 4 | "Wildflowers bloomed in a riot" | | 5 | "She checked her watch." | | 6 | "The hands spun lazily, refusing" | | 7 | "Rory pulled her jacket tighter." | | 8 | "The wind died the moment" | | 9 | "The pendant grew warmer." | | 10 | "It throbbed against her skin," | | 11 | "She reached into her pocket" | | 12 | "The skin there prickled, a" | | 13 | "She moved deeper into the" | | 14 | "The trees here stood too" | | 15 | "Shadows pooled between the roots," | | 16 | "A sound broke the silence." | | 17 | "A snap of wood." | | 18 | "She turned her head slowly," | | 19 | "The wildflowers swayed without wind." |
| | ratio | 0.951 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 305 | | matches | (empty) | | ratio | 0 | |
| 86.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 5 | | matches | | 0 | "She paused, her boots sinking into soil that felt too soft, too spongy for the hard ground of London." | | 1 | "Wildflowers bloomed in a riot of colour that defied the season, their petals glowing with a faint, bioluminescent pulse." | | 2 | "The skin there prickled, a phantom itch that had nothing to do with the cold." | | 3 | "The flowers around her withered instantly, turning to grey ash that scattered in a sudden, unnatural breeze." | | 4 | "A sound rose from the earth, a deep groan that vibrated through her bones." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |