| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1079 | | 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) | |
| 72.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1079 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "weight" | | 1 | "glint" | | 2 | "echo" | | 3 | "warmth" | | 4 | "lilt" | | 5 | "stomach" |
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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 | 1 | | narrationSentences | 88 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 88 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1086 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1005 | | uniqueNames | 9 | | maxNameDensity | 0.6 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | November | 1 | | Eva | 2 | | Jennifer | 1 | | Carter | 1 | | Cardiff | 1 | | Rory | 6 |
| | persons | | 0 | "Heartstone" | | 1 | "Eva" | | 2 | "Jennifer" | | 3 | "Carter" | | 4 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "November" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1086 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 25.86 | | std | 20.55 | | cv | 0.795 | | sampleLengths | | 0 | 56 | | 1 | 10 | | 2 | 33 | | 3 | 7 | | 4 | 55 | | 5 | 9 | | 6 | 44 | | 7 | 33 | | 8 | 4 | | 9 | 20 | | 10 | 1 | | 11 | 36 | | 12 | 55 | | 13 | 3 | | 14 | 2 | | 15 | 44 | | 16 | 35 | | 17 | 4 | | 18 | 5 | | 19 | 60 | | 20 | 27 | | 21 | 8 | | 22 | 20 | | 23 | 12 | | 24 | 8 | | 25 | 70 | | 26 | 18 | | 27 | 10 | | 28 | 30 | | 29 | 8 | | 30 | 22 | | 31 | 26 | | 32 | 37 | | 33 | 9 | | 34 | 71 | | 35 | 20 | | 36 | 8 | | 37 | 53 | | 38 | 6 | | 39 | 65 | | 40 | 21 | | 41 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 172 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 98 | | ratio | 0.061 | | matches | | 0 | "Not gradually — all at once, like crossing a threshold into a room someone had left the windows open in." | | 1 | "The well sat ahead, just visible — a low circle of pale stone, a wooden frame slumped over it." | | 2 | "The dark margin where the grove gave way to trees that hadn't been there when she arrived — she was nearly sure of that, nearly, and the uncertainty was worse than any tree." | | 3 | "No echo when she dropped a pebble from her pocket and counted — one, two, three, four — and never heard it land." | | 4 | "Rory's eyes strained and found nothing, no stones, no well, no path — only the rope still clenched in her bleeding hands, the one solid thing tethering her to the fact that she had a body and the body was here." | | 5 | "They stood at the edge of the well's reach, a ring of figures the height of children, thin as winter branches, their faces turned toward her and entirely without features — smooth as the inside of an eggshell where eyes and mouths should have been." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 998 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.028056112224448898 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009018036072144289 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 11.08 | | std | 9.66 | | cv | 0.872 | | sampleLengths | | 0 | 18 | | 1 | 22 | | 2 | 16 | | 3 | 6 | | 4 | 4 | | 5 | 9 | | 6 | 11 | | 7 | 13 | | 8 | 7 | | 9 | 3 | | 10 | 20 | | 11 | 17 | | 12 | 15 | | 13 | 3 | | 14 | 6 | | 15 | 21 | | 16 | 6 | | 17 | 5 | | 18 | 12 | | 19 | 7 | | 20 | 26 | | 21 | 4 | | 22 | 2 | | 23 | 7 | | 24 | 11 | | 25 | 1 | | 26 | 9 | | 27 | 13 | | 28 | 14 | | 29 | 19 | | 30 | 36 | | 31 | 2 | | 32 | 1 | | 33 | 2 | | 34 | 2 | | 35 | 18 | | 36 | 7 | | 37 | 17 | | 38 | 1 | | 39 | 1 | | 40 | 33 | | 41 | 4 | | 42 | 5 | | 43 | 4 | | 44 | 15 | | 45 | 14 | | 46 | 4 | | 47 | 23 | | 48 | 7 | | 49 | 17 |
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| 49.66% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.37755102040816324 | | totalSentences | 98 | | uniqueOpeners | 37 | |
| 45.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 74 | | matches | | 0 | "So far it stayed cool," |
| | ratio | 0.014 | |
| 84.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 74 | | matches | | 0 | "she told herself" | | 1 | "She stepped between two of" | | 2 | "They glowed faintly, catching a" | | 3 | "She picked her way across" | | 4 | "Her voice didn't carry the" | | 5 | "It dropped flat at her" | | 6 | "She tried again, louder, and" | | 7 | "She made for it and" | | 8 | "It had come from the" | | 9 | "She knew there were no" | | 10 | "She knew it the way" | | 11 | "She leaned over the lip" | | 12 | "She unhooked the rope from" | | 13 | "She lowered it." | | 14 | "She didn't turn." | | 15 | "She fed the rope down" | | 16 | "Her stomach turned to water." | | 17 | "Her mother was in Cardiff." | | 18 | "Her mother had never set" | | 19 | "It was something that had" |
| | ratio | 0.338 | |
| 68.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 74 | | matches | | 0 | "The standing stones came into" | | 1 | "Rory pressed her palm against" | | 2 | "she told herself" | | 3 | "The Heartstone hung against her" | | 4 | "Eva had sworn the pendant" | | 5 | "She stepped between two of" | | 6 | "The temperature changed." | | 7 | "Wildflowers carpeted the grove, white" | | 8 | "They glowed faintly, catching a" | | 9 | "Eva had described a wellhead" | | 10 | "Rory needed water drawn from" | | 11 | "That was the whole errand." | | 12 | "A favour for a friend," | | 13 | "She picked her way across" | | 14 | "The flowers brushed her shins," | | 15 | "The stones stood where she'd" | | 16 | "The grass between them swayed," | | 17 | "Her voice didn't carry the" | | 18 | "It dropped flat at her" | | 19 | "She tried again, louder, and" |
| | ratio | 0.784 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 84.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 3 | | matches | | 0 | "She made for it and kept her eyes forward, because forward was the only direction that felt safe, and she'd learned long ago not to question why a thing felt sa…" | | 1 | "The bucket dropped, rope hissing through her palms, burning a line across both before she clamped down and stopped it." | | 2 | "The grove stretched empty and luminous, and the flowers near her feet had bent flat, a path of crushed stems leading from the treeline to where she stood, as th…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she whispered (whisper)" | | 2 | "Rory breathed (breathe)" |
| | dialogueSentences | 16 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.5 | | effectiveRatio | 0.375 | |