| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1297 | | 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) | |
| 61.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1297 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulsed" | | 2 | "trembled" | | 3 | "silence" | | 4 | "weight" | | 5 | "pulse" |
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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 | 146 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 146 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 153 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1295 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1222 | | uniqueNames | 13 | | maxNameDensity | 0.33 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Fae" | | discoveredNames | | October | 1 | | London | 2 | | Fae | 2 | | Grove | 1 | | Heartstone | 1 | | Pendant | 1 | | One | 2 | | Yu-Fei | 1 | | Richmond | 1 | | Park | 1 | | Hel | 1 | | Fae-touched | 1 | | Rory | 4 |
| | persons | | 0 | "Pendant" | | 1 | "Fae-touched" | | 2 | "Rory" |
| | places | | 0 | "London" | | 1 | "Fae" | | 2 | "Grove" | | 3 | "Richmond" | | 4 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | 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 | 1295 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 153 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 31.59 | | std | 31.17 | | cv | 0.987 | | sampleLengths | | 0 | 11 | | 1 | 78 | | 2 | 7 | | 3 | 138 | | 4 | 13 | | 5 | 23 | | 6 | 17 | | 7 | 37 | | 8 | 73 | | 9 | 3 | | 10 | 60 | | 11 | 11 | | 12 | 52 | | 13 | 1 | | 14 | 10 | | 15 | 2 | | 16 | 65 | | 17 | 9 | | 18 | 9 | | 19 | 43 | | 20 | 62 | | 21 | 3 | | 22 | 29 | | 23 | 3 | | 24 | 76 | | 25 | 3 | | 26 | 30 | | 27 | 2 | | 28 | 83 | | 29 | 11 | | 30 | 10 | | 31 | 8 | | 32 | 53 | | 33 | 60 | | 34 | 71 | | 35 | 1 | | 36 | 5 | | 37 | 28 | | 38 | 21 | | 39 | 15 | | 40 | 59 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 146 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 190 | | matches | (empty) | |
| 49.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 153 | | ratio | 0.033 | | matches | | 0 | "The silver chain caught the torchlight; the crimson gem, thumbnail-sized, held a faint inner glow." | | 1 | "The ride across London, the walk through the dark park, the push through brambles—all of it had taken her the best part of an hour." | | 2 | "She knew the stories—twelve oaks, a boundary between worlds." | | 3 | "Her trainer caught on a root; she staggered, righted herself." | | 4 | "Her heel caught a root; she stayed upright through luck and stubbornness." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 203 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.009852216748768473 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 153 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 153 | | mean | 8.46 | | std | 6.53 | | cv | 0.771 | | sampleLengths | | 0 | 11 | | 1 | 21 | | 2 | 10 | | 3 | 16 | | 4 | 16 | | 5 | 7 | | 6 | 3 | | 7 | 5 | | 8 | 7 | | 9 | 8 | | 10 | 15 | | 11 | 13 | | 12 | 12 | | 13 | 24 | | 14 | 20 | | 15 | 27 | | 16 | 11 | | 17 | 8 | | 18 | 13 | | 19 | 4 | | 20 | 19 | | 21 | 17 | | 22 | 4 | | 23 | 28 | | 24 | 5 | | 25 | 4 | | 26 | 2 | | 27 | 4 | | 28 | 6 | | 29 | 25 | | 30 | 10 | | 31 | 2 | | 32 | 8 | | 33 | 3 | | 34 | 3 | | 35 | 4 | | 36 | 2 | | 37 | 3 | | 38 | 4 | | 39 | 11 | | 40 | 12 | | 41 | 9 | | 42 | 4 | | 43 | 14 | | 44 | 6 | | 45 | 6 | | 46 | 5 | | 47 | 11 | | 48 | 8 | | 49 | 14 |
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| 50.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.35294117647058826 | | totalSentences | 153 | | uniqueOpeners | 54 | |
| 82.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 121 | | matches | | 0 | "Just bark and shadow and" | | 1 | "Then she walked, counting each" | | 2 | "Then she heard it." |
| | ratio | 0.025 | |
| 58.02% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 121 | | matches | | 0 | "Her breath fogged." | | 1 | "She’d found the Fae Grove." | | 2 | "She pulled it free from" | | 3 | "It had started an hour" | | 4 | "It had arrived in the" | | 5 | "It had cooled when she" | | 6 | "She’d ditched the scooter at" | | 7 | "Her voice sounded loud." | | 8 | "She rubbed the crescent scar" | | 9 | "She’d never known it to" | | 10 | "She checked her phone." | | 11 | "She’d left the bar at" | | 12 | "She looked at the oaks," | | 13 | "Her legs ached." | | 14 | "Her feet hurt." | | 15 | "She knew the park." | | 16 | "She’d delivered enough late-night orders" | | 17 | "She swept the torch beam" | | 18 | "Her nape prickled, the way" | | 19 | "Her voice cracked on the" |
| | ratio | 0.405 | |
| 63.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 121 | | matches | | 0 | "Rory pushed through the last" | | 1 | "Wildflowers spread around her, a" | | 2 | "The air held the warm," | | 3 | "The standing stones of the" | | 4 | "Her breath fogged." | | 5 | "She’d found the Fae Grove." | | 6 | "The Heartstone Pendant burned against" | | 7 | "She pulled it free from" | | 8 | "The silver chain caught the" | | 9 | "Warmth pulsed from the stone" | | 10 | "It had started an hour" | | 11 | "It had arrived in the" | | 12 | "It had cooled when she" | | 13 | "She’d ditched the scooter at" | | 14 | "Her voice sounded loud." | | 15 | "She rubbed the crescent scar" | | 16 | "The gem pulsed faster." | | 17 | "She’d never known it to" | | 18 | "She checked her phone." | | 19 | "The screen glared 22:48." |
| | ratio | 0.793 | |
| 41.32% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 121 | | matches | | 0 | "Now the thing thrummed like" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 2 | | matches | | 0 | "The gem glowed a deep, sullen red, pulsing in time with something that wasn’t her heart." | | 1 | "The torch beam fell on the wildflowers at her feet, and the shadow that fell across them wasn’t hers." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |