| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1163 | | 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) | |
| 52.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1163 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulsed" | | 1 | "silence" | | 2 | "footsteps" | | 3 | "echo" | | 4 | "loomed" | | 5 | "pulse" | | 6 | "rhythmic" | | 7 | "weight" | | 8 | "quivered" | | 9 | "footfall" | | 10 | "tracing" |
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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 | 157 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 157 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 159 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 8 | | totalWords | 1163 | | ratio | 0.007 | | matches | | 0 | "Don't go to the grove alone. Promise me." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1152 | | uniqueNames | 7 | | maxNameDensity | 0.78 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Richmond | 2 | | Park | 1 | | Heartstone | 3 | | Rory | 9 | | London | 1 | | November | 1 | | Eva | 4 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "November" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1163 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 159 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 18.46 | | std | 15.49 | | cv | 0.839 | | sampleLengths | | 0 | 7 | | 1 | 26 | | 2 | 43 | | 3 | 7 | | 4 | 63 | | 5 | 17 | | 6 | 11 | | 7 | 54 | | 8 | 10 | | 9 | 45 | | 10 | 1 | | 11 | 2 | | 12 | 17 | | 13 | 4 | | 14 | 35 | | 15 | 26 | | 16 | 6 | | 17 | 46 | | 18 | 12 | | 19 | 3 | | 20 | 14 | | 21 | 47 | | 22 | 53 | | 23 | 3 | | 24 | 32 | | 25 | 4 | | 26 | 5 | | 27 | 17 | | 28 | 7 | | 29 | 5 | | 30 | 6 | | 31 | 5 | | 32 | 38 | | 33 | 3 | | 34 | 40 | | 35 | 20 | | 36 | 3 | | 37 | 26 | | 38 | 19 | | 39 | 5 | | 40 | 39 | | 41 | 14 | | 42 | 15 | | 43 | 6 | | 44 | 30 | | 45 | 11 | | 46 | 6 | | 47 | 32 | | 48 | 13 | | 49 | 21 |
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| 98.56% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 157 | | matches | | 0 | "was supposed" | | 1 | "were bent" | | 2 | "were gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 194 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 159 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 104 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.038461538461538464 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 159 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 159 | | mean | 7.31 | | std | 5.45 | | cv | 0.746 | | sampleLengths | | 0 | 7 | | 1 | 12 | | 2 | 4 | | 3 | 10 | | 4 | 4 | | 5 | 7 | | 6 | 12 | | 7 | 20 | | 8 | 7 | | 9 | 6 | | 10 | 18 | | 11 | 17 | | 12 | 18 | | 13 | 2 | | 14 | 2 | | 15 | 9 | | 16 | 6 | | 17 | 2 | | 18 | 11 | | 19 | 7 | | 20 | 2 | | 21 | 2 | | 22 | 2 | | 23 | 12 | | 24 | 10 | | 25 | 19 | | 26 | 10 | | 27 | 9 | | 28 | 14 | | 29 | 17 | | 30 | 5 | | 31 | 1 | | 32 | 2 | | 33 | 6 | | 34 | 11 | | 35 | 4 | | 36 | 9 | | 37 | 4 | | 38 | 13 | | 39 | 9 | | 40 | 4 | | 41 | 2 | | 42 | 20 | | 43 | 6 | | 44 | 4 | | 45 | 2 | | 46 | 14 | | 47 | 5 | | 48 | 5 | | 49 | 16 |
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| 50.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.36477987421383645 | | totalSentences | 159 | | uniqueOpeners | 58 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 124 | | matches | | 0 | "Then the glow in the" | | 1 | "Almost her height." |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 124 | | matches | | 0 | "She climbed it anyway." | | 1 | "Her trainers slipped on the" | | 2 | "She dropped to the mud" | | 3 | "She had not meant to" | | 4 | "It had woken her at" | | 5 | "Her footsteps sank into leaf" | | 6 | "She found the first standing" | | 7 | "Its bark held deep grooves" | | 8 | "They stared up and they" | | 9 | "Her phone light hit it" | | 10 | "It gave under her foot" | | 11 | "They had no scent now." | | 12 | "She stood in the middle" | | 13 | "Her voice sounded wrong." | | 14 | "She had come to prove" | | 15 | "It beat faster now." | | 16 | "Her head snapped up." | | 17 | "She took a step back" | | 18 | "Her trainer found soft grass" | | 19 | "Her foot went down half" |
| | ratio | 0.226 | |
| 89.03% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 124 | | matches | | 0 | "The gate to Richmond Park" | | 1 | "Rory stared at the chain" | | 2 | "The letters bled in the" | | 3 | "She climbed it anyway." | | 4 | "Her trainers slipped on the" | | 5 | "The crescent scar on her" | | 6 | "She dropped to the mud" | | 7 | "The Heartstone thumped once against" | | 8 | "She had not meant to" | | 9 | "The pendant was supposed to" | | 10 | "It had woken her at" | | 11 | "Eva's last text sat unread" | | 12 | "Rory pushed through the bracken" | | 13 | "Richmond at night was a" | | 14 | "The city hum that lived" | | 15 | "Her footsteps sank into leaf" | | 16 | "The air smelled of turned" | | 17 | "She found the first standing" | | 18 | "The oak was black and" | | 19 | "Its bark held deep grooves" |
| | ratio | 0.742 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 124 | | matches | | 0 | "To see if the pendant" | | 1 | "To check the time slip" | | 2 | "To her left." |
| | ratio | 0.024 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 3 | | matches | | 0 | "When she lifted it, the crimson at its centre held a light that had no business being there." | | 1 | "The gemstone at its centre was the size of her thumbnail and it beat with a dull red light that threw no light on her skin." | | 2 | "The dark there grew deeper, tall as a door, and wind came out of it that smelled of iron and wet stone and nothing alive." |
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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 | |