| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1442 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "really" | | 1 | "slowly" | | 2 | "suddenly" |
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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) | |
| 37.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1442 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "familiar" | | 3 | "loomed" | | 4 | "weight" | | 5 | "pulse" | | 6 | "quickened" | | 7 | "footsteps" | | 8 | "perfect" | | 9 | "whisper" | | 10 | "silence" | | 11 | "oppressive" | | 12 | "footfall" | | 13 | "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 | 0 | | narrationSentences | 160 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 160 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 165 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1441 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.28% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1396 | | uniqueNames | 9 | | maxNameDensity | 1.07 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 2 | | London | 3 | | Richmond | 2 | | Park | 2 | | Cardiff | 1 | | Evan | 1 | | Rory | 15 | | November | 2 | | June | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Evan" | | 2 | "Rory" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Cardiff" | | 4 | "November" | | 5 | "June" |
| | globalScore | 0.963 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 92 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like twenty minutes" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.082 | | wordCount | 1441 | | matches | | 0 | "not really, but nobody came here after dark" | | 1 | "not sap, but something darker" | | 2 | "no sound but" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 165 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 20.3 | | std | 18.27 | | cv | 0.9 | | sampleLengths | | 0 | 10 | | 1 | 59 | | 2 | 5 | | 3 | 66 | | 4 | 4 | | 5 | 40 | | 6 | 60 | | 7 | 11 | | 8 | 3 | | 9 | 43 | | 10 | 4 | | 11 | 4 | | 12 | 65 | | 13 | 8 | | 14 | 42 | | 15 | 30 | | 16 | 5 | | 17 | 41 | | 18 | 6 | | 19 | 19 | | 20 | 22 | | 21 | 7 | | 22 | 5 | | 23 | 40 | | 24 | 6 | | 25 | 16 | | 26 | 32 | | 27 | 24 | | 28 | 18 | | 29 | 6 | | 30 | 37 | | 31 | 34 | | 32 | 3 | | 33 | 4 | | 34 | 2 | | 35 | 13 | | 36 | 5 | | 37 | 12 | | 38 | 9 | | 39 | 34 | | 40 | 5 | | 41 | 47 | | 42 | 5 | | 43 | 9 | | 44 | 24 | | 45 | 1 | | 46 | 10 | | 47 | 37 | | 48 | 3 | | 49 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 160 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 222 | | matches | | 0 | "was begging" | | 1 | "were watching" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 165 | | ratio | 0.006 | | matches | | |
| 99.92% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1397 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 56 | | adverbRatio | 0.04008589835361489 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.012884753042233358 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 165 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 165 | | mean | 8.73 | | std | 6.83 | | cv | 0.782 | | sampleLengths | | 0 | 10 | | 1 | 13 | | 2 | 17 | | 3 | 29 | | 4 | 5 | | 5 | 4 | | 6 | 24 | | 7 | 8 | | 8 | 30 | | 9 | 4 | | 10 | 4 | | 11 | 12 | | 12 | 5 | | 13 | 19 | | 14 | 8 | | 15 | 23 | | 16 | 3 | | 17 | 26 | | 18 | 2 | | 19 | 9 | | 20 | 2 | | 21 | 1 | | 22 | 2 | | 23 | 18 | | 24 | 23 | | 25 | 1 | | 26 | 3 | | 27 | 4 | | 28 | 12 | | 29 | 9 | | 30 | 1 | | 31 | 16 | | 32 | 27 | | 33 | 8 | | 34 | 9 | | 35 | 4 | | 36 | 11 | | 37 | 7 | | 38 | 3 | | 39 | 8 | | 40 | 4 | | 41 | 7 | | 42 | 19 | | 43 | 5 | | 44 | 3 | | 45 | 17 | | 46 | 21 | | 47 | 6 | | 48 | 7 | | 49 | 2 |
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| 55.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3696969696969697 | | totalSentences | 165 | | uniqueOpeners | 61 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 138 | | matches | | 0 | "Even her own footsteps seemed" | | 1 | "Just a dead stone on" | | 2 | "Just endless wildflowers and that" | | 3 | "Even their movement was silent," | | 4 | "Then the flowers began to" | | 5 | "More a pressure in her" |
| | ratio | 0.043 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 138 | | matches | | 0 | "Its deep crimson centre pulsed" | | 1 | "She had followed its warmth" | | 2 | "She shouldn't have come." | | 3 | "She walked for what felt" | | 4 | "She'd left her bike locked" | | 5 | "They formed a rough circle" | | 6 | "She approached the circle slowly," | | 7 | "She could see them now," | | 8 | "She knew, with a certainty" | | 9 | "She kept her voice low," | | 10 | "She turned back the way" | | 11 | "She turned in a full" | | 12 | "She pressed her palms against" | | 13 | "She hadn't read that in" | | 14 | "She'd heard it somewhere." | | 15 | "She picked a direction and" | | 16 | "She took a step backward." | | 17 | "Her hand went to the" | | 18 | "She walked faster." | | 19 | "she whispered to herself" |
| | ratio | 0.246 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 138 | | matches | | 0 | "The pendant burned against her" | | 1 | "Rory grabbed the Heartstone through" | | 2 | "Its deep crimson centre pulsed" | | 3 | "She had followed its warmth" | | 4 | "She shouldn't have come." | | 5 | "Every instinct she possessed screamed" | | 6 | "Tonight it demanded attention." | | 7 | "The gates stood open." | | 8 | "Richmond Park didn't close, not" | | 9 | "Rory stepped through, her trainers" | | 10 | "She walked for what felt" | | 11 | "The path wound through grassland" | | 12 | "She'd left her bike locked" | | 13 | "A shape in the darkness" | | 14 | "They formed a rough circle" | | 15 | "The pendant's pulse quickened." | | 16 | "She approached the circle slowly," | | 17 | "The scent of summer grass" | | 18 | "Wildflowers carpeted the clearing in" | | 19 | "Rory stepped between two of" |
| | ratio | 0.71 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 138 | | matches | | 0 | "Now the thing practically thrummed." | | 1 | "To her left, more of" | | 2 | "To her right—" |
| | ratio | 0.022 | |
| 55.39% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 6 | | matches | | 0 | "Every instinct she possessed screamed it, the same instincts that had gotten her out of Cardiff, out of that flat, out of Evan's reach." | | 1 | "The path wound through grassland that stretched into darkness on either side, the distant shapes of trees black against the marginally lighter sky." | | 2 | "Massive, ancient oaks that had grown into twisted pillars, their bark smoothed by centuries of wind and rain." | | 3 | "Just endless wildflowers and that strange ambient light that came from nowhere." | | 4 | "That oppressive, absolute silence that made her own heartbeat sound like thunder." | | 5 | "The stone connected with something that made no sound but gave off a sensation of intense cold, a flash of darkness that blinded her for half a second." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "She pressed (press)" | | 1 | "she whispered (whisper)" | | 2 | "she breathed (breathe)" |
| | dialogueSentences | 9 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |