| 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 | |
| 91.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1124 | | totalAiIsmAdverbs | 2 | | 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) | |
| 33.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1124 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "echo" | | 4 | "pulse" | | 5 | "throb" | | 6 | "footsteps" | | 7 | "shimmered" | | 8 | "loomed" | | 9 | "rhythmic" | | 10 | "glistening" | | 11 | "shattered" |
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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 | 140 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 140 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1124 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1118 | | uniqueNames | 14 | | maxNameDensity | 1.34 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 15 | | Heartstone | 1 | | Richmond | 1 | | Park | 1 | | London | 3 | | Fae-touched | 1 | | Geiger | 1 | | Chernobyl | 1 | | Hel | 1 | | Eva | 4 | | Golden | 1 | | Empress | 1 | | Tuesday | 1 | | Silas | 1 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Fae-touched" | | 3 | "Eva" | | 4 | "Tuesday" | | 5 | "Silas" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Chernobyl" | | 4 | "Golden" |
| | globalScore | 0.829 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 22.06% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.779 | | wordCount | 1124 | | matches | | 0 | "not walking, not floating, but existing in progressively nearer locations" | | 1 | "not floating, but existing in progressively nearer locations" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 36.26 | | std | 30.47 | | cv | 0.84 | | sampleLengths | | 0 | 43 | | 1 | 7 | | 2 | 96 | | 3 | 88 | | 4 | 5 | | 5 | 48 | | 6 | 13 | | 7 | 6 | | 8 | 102 | | 9 | 51 | | 10 | 9 | | 11 | 73 | | 12 | 29 | | 13 | 8 | | 14 | 59 | | 15 | 2 | | 16 | 82 | | 17 | 11 | | 18 | 77 | | 19 | 46 | | 20 | 3 | | 21 | 27 | | 22 | 34 | | 23 | 8 | | 24 | 41 | | 25 | 53 | | 26 | 6 | | 27 | 57 | | 28 | 3 | | 29 | 22 | | 30 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 140 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 192 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 141 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1123 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.03561887800534283 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.009795191451469279 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 7.97 | | std | 5.41 | | cv | 0.679 | | sampleLengths | | 0 | 15 | | 1 | 14 | | 2 | 4 | | 3 | 1 | | 4 | 9 | | 5 | 1 | | 6 | 6 | | 7 | 3 | | 8 | 3 | | 9 | 13 | | 10 | 10 | | 11 | 10 | | 12 | 8 | | 13 | 12 | | 14 | 13 | | 15 | 5 | | 16 | 19 | | 17 | 15 | | 18 | 14 | | 19 | 5 | | 20 | 8 | | 21 | 15 | | 22 | 5 | | 23 | 7 | | 24 | 6 | | 25 | 5 | | 26 | 8 | | 27 | 5 | | 28 | 2 | | 29 | 7 | | 30 | 15 | | 31 | 6 | | 32 | 11 | | 33 | 7 | | 34 | 10 | | 35 | 3 | | 36 | 2 | | 37 | 4 | | 38 | 6 | | 39 | 7 | | 40 | 9 | | 41 | 20 | | 42 | 12 | | 43 | 4 | | 44 | 17 | | 45 | 2 | | 46 | 7 | | 47 | 18 | | 48 | 3 | | 49 | 10 |
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| 39.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.2978723404255319 | | totalSentences | 141 | | uniqueOpeners | 42 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 120 | | matches | | 0 | "Only wildflowers nodding in a" | | 1 | "Then it stepped back, and" | | 2 | "Just the wet, rhythmic sound" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 120 | | matches | | 0 | "She checked her phone." | | 1 | "They emitted a faint, milky" | | 2 | "She had delivered takeaway to" | | 3 | "It sat on her shoulders," | | 4 | "She took a step forward." | | 5 | "They bent, then sprang back," | | 6 | "She glanced at her watch." | | 7 | "Her heart hammered against her" | | 8 | "She hadn't heard the growth," | | 9 | "Her voice fell flat, absorbed" | | 10 | "She moved toward the centre" | | 11 | "She couldn't afford another." | | 12 | "She pressed her palm against" | | 13 | "It felt feverish, the ridges" | | 14 | "She backed away from the" | | 15 | "Her breath plumed." | | 16 | "She looked down." | | 17 | "It hurts them." | | 18 | "She gripped it until her" | | 19 | "She ran for the gap" |
| | ratio | 0.3 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 120 | | matches | | 0 | "The brambles snapped back like" | | 1 | "The Heartstone had tugged her" | | 2 | "She checked her phone." | | 3 | "The battery had read sixty" | | 4 | "Everything about this place felt" | | 5 | "The wildflowers glowed." | | 6 | "They emitted a faint, milky" | | 7 | "Rory knew when a postcode" | | 8 | "She had delivered takeaway to" | | 9 | "This pocket between worlds pressed" | | 10 | "Eva had whispered about this" | | 11 | "Copper stung Rory's tongue, thick" | | 12 | "The silence here possessed weight." | | 13 | "It sat on her shoulders," | | 14 | "Eva had called them standing" | | 15 | "Rory's fingers found the pendant." | | 16 | "The deep crimson gemstone pulsed," | | 17 | "The thing behaved like a" | | 18 | "She took a step forward." | | 19 | "The wildflowers didn't crush under" |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 120 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 4 | | matches | | 0 | "It felt feverish, the ridges of bark rising and falling in a rhythm that matched the pendant's pulse." | | 1 | "Trees that had stood metres away now loomed centimetres from her shoulders, their bark scraping her jacket." | | 2 | "They simply stood, multiplying, their heads turning in unison to follow her flight." | | 3 | "She hit the ground hard, palms shredding on rough bark that hadn't been there a second ago." |
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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 | |