| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1060 | | 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) | |
| 71.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1060 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "pulsed" | | 1 | "silence" | | 2 | "scanned" | | 3 | "pulse" | | 4 | "warmth" | | 5 | "glistening" |
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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 | 88 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 88 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1060 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.58% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1045 | | uniqueNames | 7 | | maxNameDensity | 1.15 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 2 | | October | 1 | | Eva | 1 | | London | 2 | | Heartstone | 2 | | Rory | 12 |
| | persons | | 0 | "Eva" | | 1 | "Heartstone" | | 2 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.926 | | windowScore | 1 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like old copper" | | 1 | "seemed closer together, arranged to funnel her back towards the pedestal" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.83 | | wordCount | 1060 | | matches | | 0 | "not with her ears but inside her skull, a voice like paper tearing" | | 1 | "Not with mouths, but with a high, thin vibration" | | 2 | "not running, but folding space with each step, appearing closer each time she" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 22.08 | | std | 17.73 | | cv | 0.803 | | sampleLengths | | 0 | 52 | | 1 | 11 | | 2 | 64 | | 3 | 2 | | 4 | 3 | | 5 | 30 | | 6 | 53 | | 7 | 3 | | 8 | 49 | | 9 | 3 | | 10 | 14 | | 11 | 30 | | 12 | 17 | | 13 | 19 | | 14 | 10 | | 15 | 36 | | 16 | 4 | | 17 | 58 | | 18 | 2 | | 19 | 21 | | 20 | 2 | | 21 | 54 | | 22 | 11 | | 23 | 27 | | 24 | 31 | | 25 | 32 | | 26 | 7 | | 27 | 44 | | 28 | 15 | | 29 | 11 | | 30 | 28 | | 31 | 1 | | 32 | 4 | | 33 | 34 | | 34 | 38 | | 35 | 34 | | 36 | 15 | | 37 | 6 | | 38 | 30 | | 39 | 17 | | 40 | 4 | | 41 | 10 | | 42 | 3 | | 43 | 48 | | 44 | 4 | | 45 | 38 | | 46 | 15 | | 47 | 16 |
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| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 88 | | matches | | 0 | "been locked" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 185 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 90 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1054 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.036053130929791274 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0056925996204933585 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 11.78 | | std | 7.67 | | cv | 0.651 | | sampleLengths | | 0 | 17 | | 1 | 35 | | 2 | 6 | | 3 | 5 | | 4 | 27 | | 5 | 1 | | 6 | 2 | | 7 | 9 | | 8 | 25 | | 9 | 2 | | 10 | 3 | | 11 | 15 | | 12 | 15 | | 13 | 18 | | 14 | 15 | | 15 | 20 | | 16 | 3 | | 17 | 11 | | 18 | 18 | | 19 | 8 | | 20 | 12 | | 21 | 3 | | 22 | 14 | | 23 | 4 | | 24 | 11 | | 25 | 15 | | 26 | 3 | | 27 | 14 | | 28 | 9 | | 29 | 10 | | 30 | 10 | | 31 | 5 | | 32 | 9 | | 33 | 13 | | 34 | 9 | | 35 | 4 | | 36 | 12 | | 37 | 9 | | 38 | 17 | | 39 | 20 | | 40 | 2 | | 41 | 3 | | 42 | 11 | | 43 | 7 | | 44 | 2 | | 45 | 17 | | 46 | 21 | | 47 | 16 | | 48 | 11 | | 49 | 10 |
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| 47.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.32222222222222224 | | totalSentences | 90 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 81 | | matches | | 0 | "Then, from somewhere near the" | | 1 | "Then she saw it." | | 2 | "Too tall, limbs bending in" | | 3 | "Then it was gone, melted" | | 4 | "Then the wildflowers screamed." | | 5 | "Then she heard it." |
| | ratio | 0.074 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 81 | | matches | | 0 | "She pushed through gorse that" | | 1 | "She came closer." | | 2 | "She pulled it free, and" | | 3 | "Her fingers had barely brushed" | | 4 | "She stepped back." | | 5 | "she called out, her voice" | | 6 | "She backed towards the nearest" | | 7 | "Its skin was the colour" | | 8 | "Its head tilted, a sound" | | 9 | "Her boots hammered the ground," | | 10 | "She reached the circle's centre" | | 11 | "She fell hard, dirt and" | | 12 | "She scrambled up, her back" | | 13 | "Its eyes were hollow sockets" | | 14 | "she demanded, her voice steadier" | | 15 | "She ran for the trees," | | 16 | "She spun, searching for escape," | | 17 | "She ran towards it, her" | | 18 | "She collapsed against the gatepost," | | 19 | "She ran then, through the" |
| | ratio | 0.247 | |
| 77.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 81 | | matches | | 0 | "Rory's boots crunched dead pine" | | 1 | "The delivery bag had emptied" | | 2 | "The gate had not been" | | 3 | "That was her first mistake." | | 4 | "She pushed through gorse that" | | 5 | "Something with black petals that" | | 6 | "The air hung still, too" | | 7 | "Nothing was there." | | 8 | "Rory pulled her coat tighter" | | 9 | "The Heartstone warmed against her" | | 10 | "The stones came first, grey" | | 11 | "She came closer." | | 12 | "The pendant tugged her forward," | | 13 | "She pulled it free, and" | | 14 | "The hollow in the stone" | | 15 | "Something inside glimmered, translucent and" | | 16 | "Rory reached out." | | 17 | "Her fingers had barely brushed" | | 18 | "Silence swallowed the grove." | | 19 | "Something heavy dragging through wet" |
| | ratio | 0.765 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 30.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 8 | | matches | | 0 | "Rory's boots crunched dead pine needles that had no right being in Richmond Park in late October." | | 1 | "She pushed through gorse that scratched her palms, past an old oak with bark like burnt toast, and into a hollow where wildflowers bloomed in vicious shades." | | 2 | "The Heartstone warmed against her palm, pulsing with faint heat that made her teeth ache." | | 3 | "Its skin was the colour of old parchment, stretched tight over bones that clicked with each step." | | 4 | "Her boots hammered the ground, crushing those wrong flowers beneath her soles, her breath tearing her throat." | | 5 | "Its eyes were hollow sockets that wept something dark and glistening." | | 6 | "She collapsed against the gatepost, gasping, her palms bleeding from where she had scraped them on bark." | | 7 | "Rory stumbled backwards, into the park, into the world that made sense, her heart hammering and the pendant still burning, still pulsing, warning her of somethi…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 2 | | matches | | 0 | "she called out, her voice small and swallowed" | | 1 | "she demanded, her voice steadier than she felt" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "she demanded (demand)" |
| | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |