| 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 | |
| 95.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1183 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 23.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1183 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pulse" | | 1 | "silence" | | 2 | "flickered" | | 3 | "perfect" | | 4 | "pulsed" | | 5 | "searing" | | 6 | "trembled" | | 7 | "familiar" | | 8 | "weight" | | 9 | "shattered" | | 10 | "echoing" |
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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 | 174 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 174 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 175 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 20 | | totalWords | 1182 | | ratio | 0.017 | | matches | | 0 | "Focus." | | 1 | "The grove, tonight. Bring the pendant. Don't tell anyone." | | 2 | "Time to leave." | | 3 | "Hel portal." | | 4 | "Come." | | 5 | "Laila." | | 6 | "Laila, stay." | | 7 | "Laila." |
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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 | 30 | | wordCount | 1169 | | uniqueNames | 13 | | maxNameDensity | 0.94 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 7 | | Richmond | 1 | | Park | 1 | | High | 1 | | Street | 1 | | Seven | 1 | | Sisters | 1 | | Road | 1 | | Eva | 2 | | Aurora | 11 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Eva" | | 2 | "Aurora" | | 3 | "Empress" | | 4 | "Yu-Fei" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "High" | | 3 | "Street" | | 4 | "Seven" | | 5 | "Sisters" | | 6 | "Road" | | 7 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.538 | | wordCount | 1182 | | matches | | 0 | "not wood but something smooth" | | 1 | "not toward the hedge but toward the nearest standing stone" | | 2 | "not at the portal, but at the centre stone's base" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 175 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 64 | | mean | 18.47 | | std | 13.1 | | cv | 0.709 | | sampleLengths | | 0 | 10 | | 1 | 34 | | 2 | 49 | | 3 | 12 | | 4 | 31 | | 5 | 9 | | 6 | 50 | | 7 | 1 | | 8 | 26 | | 9 | 24 | | 10 | 23 | | 11 | 16 | | 12 | 12 | | 13 | 34 | | 14 | 8 | | 15 | 11 | | 16 | 11 | | 17 | 35 | | 18 | 3 | | 19 | 32 | | 20 | 19 | | 21 | 8 | | 22 | 25 | | 23 | 9 | | 24 | 31 | | 25 | 42 | | 26 | 8 | | 27 | 15 | | 28 | 16 | | 29 | 36 | | 30 | 1 | | 31 | 14 | | 32 | 40 | | 33 | 10 | | 34 | 25 | | 35 | 4 | | 36 | 10 | | 37 | 1 | | 38 | 19 | | 39 | 47 | | 40 | 2 | | 41 | 6 | | 42 | 26 | | 43 | 28 | | 44 | 2 | | 45 | 30 | | 46 | 4 | | 47 | 16 | | 48 | 27 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 174 | | matches | | 0 | "was snapped" | | 1 | "was blistered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 192 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 175 | | ratio | 0.006 | | matches | | 0 | "The gem blazed, and she threw it—not at the portal, but at the centre stone's base." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1172 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.01962457337883959 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0034129692832764505 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 175 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 175 | | mean | 6.75 | | std | 5.26 | | cv | 0.779 | | sampleLengths | | 0 | 10 | | 1 | 13 | | 2 | 2 | | 3 | 3 | | 4 | 16 | | 5 | 21 | | 6 | 4 | | 7 | 24 | | 8 | 2 | | 9 | 10 | | 10 | 5 | | 11 | 11 | | 12 | 11 | | 13 | 2 | | 14 | 2 | | 15 | 9 | | 16 | 4 | | 17 | 11 | | 18 | 6 | | 19 | 29 | | 20 | 1 | | 21 | 9 | | 22 | 3 | | 23 | 3 | | 24 | 7 | | 25 | 4 | | 26 | 4 | | 27 | 2 | | 28 | 2 | | 29 | 5 | | 30 | 11 | | 31 | 4 | | 32 | 2 | | 33 | 9 | | 34 | 4 | | 35 | 4 | | 36 | 16 | | 37 | 1 | | 38 | 5 | | 39 | 6 | | 40 | 2 | | 41 | 2 | | 42 | 17 | | 43 | 4 | | 44 | 9 | | 45 | 4 | | 46 | 4 | | 47 | 11 | | 48 | 2 | | 49 | 9 |
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| 35.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 26 | | diversityRatio | 0.2857142857142857 | | totalSentences | 175 | | uniqueOpeners | 50 | |
| 72.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 138 | | matches | | 0 | "Just the wet earth smell" | | 1 | "Just the standing stones, their" | | 2 | "Instead, she faced a solid" |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 138 | | matches | | 0 | "She'd followed the pendant's glow" | | 1 | "She touched the pendant." | | 2 | "It had never done this" | | 3 | "She'd come here because Eva's" | | 4 | "She tucked the phone back" | | 5 | "She stepped toward the centre" | | 6 | "It had rained two hours" | | 7 | "She lifted her foot." | | 8 | "Her voice came out thin," | | 9 | "It smelled sweet, cloying, like" | | 10 | "She turned slowly." | | 11 | "She gasped, fumbled with the" | | 12 | "It went still." | | 13 | "Her legs had locked, her" | | 14 | "It bloomed in her mind" | | 15 | "They had no clear form," | | 16 | "She had three hours." | | 17 | "Her true name." | | 18 | "She forced her legs to" | | 19 | "It had no edges, no" |
| | ratio | 0.225 | |
| 57.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 111 | | totalSentences | 138 | | matches | | 0 | "The Heartstone thrummed against her" | | 1 | "Aurora stepped through the gap" | | 2 | "She'd followed the pendant's glow" | | 3 | "Silas said she had three" | | 4 | "The grove looked peaceful enough." | | 5 | "Wildflowers speckled the grass, blue" | | 6 | "A circle of moonlight pooled" | | 7 | "She touched the pendant." | | 8 | "The crimson gem flickered from" | | 9 | "It had never done this" | | 10 | "She'd come here because Eva's" | | 11 | "*The grove, tonight." | | 12 | "The grove was empty." | | 13 | "Aurora checked her phone." | | 14 | "The stones probably blocked it." | | 15 | "She tucked the phone back" | | 16 | "The silence pressed in." | | 17 | "The wildflowers didn't sway." | | 18 | "The moonlight didn't shift." | | 19 | "She stepped toward the centre" |
| | ratio | 0.804 | |
| 36.23% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 138 | | matches | | 0 | "Now the standing stones rose" |
| | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 1 | | matches | | 0 | "Not in her flat, not on the High Street, not even when she'd passed that strange charity shop on Seven Sisters Road that sold nothing but locked wooden boxes." |
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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 | |