| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1035 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "precisely" | | 1 | "slightly" | | 2 | "slowly" |
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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) | |
| 37.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1035 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulse" | | 1 | "familiar" | | 2 | "scanned" | | 3 | "pulsed" | | 4 | "rhythmic" | | 5 | "silence" | | 6 | "weight" | | 7 | "implication" | | 8 | "lurched" |
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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 | 98 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 98 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 11 | | totalWords | 1030 | | ratio | 0.011 | | matches | | 0 | "Bring the Heartstone. Come alone." | | 1 | "You heard it. It was real." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 8 | | wordCount | 1013 | | uniqueNames | 7 | | maxNameDensity | 0.2 | | worstName | "Heartstone" | | maxWindowNameDensity | 0.5 | | worstWindowName | "Heartstone" | | discoveredNames | | Heartstone | 2 | | Richmond | 1 | | Park | 1 | | November | 1 | | Aurora | 1 | | Carter | 1 | | Silence | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Silence" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "November" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a held breath" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.971 | | wordCount | 1030 | | matches | | 0 | "Not damp-cold, but deep-cold, the kind" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 26.41 | | std | 24.08 | | cv | 0.912 | | sampleLengths | | 0 | 7 | | 1 | 80 | | 2 | 10 | | 3 | 64 | | 4 | 20 | | 5 | 3 | | 6 | 54 | | 7 | 26 | | 8 | 74 | | 9 | 9 | | 10 | 5 | | 11 | 66 | | 12 | 6 | | 13 | 58 | | 14 | 35 | | 15 | 6 | | 16 | 25 | | 17 | 3 | | 18 | 34 | | 19 | 13 | | 20 | 60 | | 21 | 3 | | 22 | 39 | | 23 | 6 | | 24 | 8 | | 25 | 7 | | 26 | 21 | | 27 | 35 | | 28 | 13 | | 29 | 48 | | 30 | 4 | | 31 | 54 | | 32 | 6 | | 33 | 8 | | 34 | 45 | | 35 | 3 | | 36 | 64 | | 37 | 5 | | 38 | 3 |
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| 94.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 98 | | matches | | 0 | "being left" | | 1 | "been dragged" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 165 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 99 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1018 | | adjectiveStacks | 1 | | stackExamples | | 0 | "neat, foot-shaped imprints." |
| | adverbCount | 36 | | adverbRatio | 0.03536345776031434 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008840864440078585 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 10.4 | | std | 10.14 | | cv | 0.974 | | sampleLengths | | 0 | 7 | | 1 | 15 | | 2 | 1 | | 3 | 2 | | 4 | 32 | | 5 | 8 | | 6 | 22 | | 7 | 5 | | 8 | 5 | | 9 | 17 | | 10 | 27 | | 11 | 20 | | 12 | 6 | | 13 | 10 | | 14 | 4 | | 15 | 3 | | 16 | 6 | | 17 | 5 | | 18 | 5 | | 19 | 11 | | 20 | 16 | | 21 | 11 | | 22 | 4 | | 23 | 2 | | 24 | 20 | | 25 | 6 | | 26 | 15 | | 27 | 11 | | 28 | 7 | | 29 | 35 | | 30 | 9 | | 31 | 5 | | 32 | 4 | | 33 | 1 | | 34 | 7 | | 35 | 23 | | 36 | 1 | | 37 | 2 | | 38 | 3 | | 39 | 25 | | 40 | 3 | | 41 | 3 | | 42 | 20 | | 43 | 5 | | 44 | 33 | | 45 | 8 | | 46 | 19 | | 47 | 8 | | 48 | 6 | | 49 | 7 |
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| 56.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.40404040404040403 | | totalSentences | 99 | | uniqueOpeners | 40 | |
| 78.43% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 85 | | matches | | 0 | "Just a time, a place," | | 1 | "Then, from her left, the" |
| | ratio | 0.024 | |
| 64.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 85 | | matches | | 0 | "She pulled it free from" | | 1 | "It had led her here," | | 2 | "It always looked the same." | | 3 | "She had been here twice" | | 4 | "She couldn't name what had" | | 5 | "Her body knew something her" | | 6 | "She scanned the clearing." | | 7 | "She'd come because of the" | | 8 | "She'd come anyway, because whatever" | | 9 | "She took the final three" | | 10 | "She spun toward the eastern" | | 11 | "She held her breath and" | | 12 | "*You heard it." | | 13 | "It was real.*" | | 14 | "She turned back toward the" | | 15 | "Her eyes tracked the impression" | | 16 | "She crouched and touched the" | | 17 | "She pulled her hand back." | | 18 | "She shoved it back under" | | 19 | "She couldn't make out a" |
| | ratio | 0.388 | |
| 83.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 85 | | matches | | 0 | "The Heartstone pendant had never" | | 1 | "Rory pressed her palm flat" | | 2 | "She pulled it free from" | | 3 | "It had led her here," | | 4 | "The grove looked the same." | | 5 | "It always looked the same." | | 6 | "Wildflowers, pale and impossible in" | | 7 | "The standing stones rose at" | | 8 | "A pocket of stillness sat" | | 9 | "She had been here twice" | | 10 | "Both times, the grove had" | | 11 | "Tonight felt different." | | 12 | "She couldn't name what had" | | 13 | "The flowers were the same." | | 14 | "The stones were the same." | | 15 | "The air carried that familiar" | | 16 | "Her body knew something her" | | 17 | "She scanned the clearing." | | 18 | "The pendant pulsed against her" | | 19 | "She'd come because of the" |
| | ratio | 0.753 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 7 | | matches | | 0 | "Same insistent pull northward through Richmond Park, same pressure behind her eyes that dissolved the moment she stepped between the ancient oaks." | | 1 | "A pocket of stillness sat at the centre of it all, the kind that swallowed sound and gave nothing back." | | 2 | "Some of them had closed for the night, petals furled tight, but others had curled in a different way, bent low to the ground as though something had pressed aga…" | | 3 | "Not damp-cold, but deep-cold, the kind that lived in stone and water." | | 4 | "But she held her ground, because running meant turning her back, and every instinct she possessed told her that was the wrong move." | | 5 | "The imprints were fresh, flowers still springing slowly back upright, a process she could watch in real time if she chose to, the slow unbending of stems that h…" | | 6 | "She felt it rather than heard it, a vibration that rang through her sternum and set her back teeth aching, and the light came a half-second later, that deep cri…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |