| 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 | 1177 | | 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) | |
| 61.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1177 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "silence" | | 1 | "whisper" | | 2 | "perfect" | | 3 | "trembled" | | 4 | "grave" | | 5 | "warmth" | | 6 | "flickered" | | 7 | "predator" |
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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 | 123 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 123 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1175 | | ratio | 0 | | matches | (empty) | |
| 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 | 17 | | wordCount | 1159 | | uniqueNames | 8 | | maxNameDensity | 0.6 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Grove | 1 | | Richmond | 2 | | Park | 2 | | January | 2 | | London | 1 | | Eva | 1 | | Evan | 1 | | Aurora | 7 |
| | persons | | | places | | 0 | "Grove" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "January" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | 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 | 1175 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 25 | | std | 19.24 | | cv | 0.77 | | sampleLengths | | 0 | 23 | | 1 | 63 | | 2 | 24 | | 3 | 1 | | 4 | 53 | | 5 | 32 | | 6 | 12 | | 7 | 50 | | 8 | 37 | | 9 | 5 | | 10 | 45 | | 11 | 2 | | 12 | 11 | | 13 | 48 | | 14 | 9 | | 15 | 53 | | 16 | 6 | | 17 | 6 | | 18 | 34 | | 19 | 14 | | 20 | 39 | | 21 | 10 | | 22 | 35 | | 23 | 16 | | 24 | 3 | | 25 | 33 | | 26 | 2 | | 27 | 42 | | 28 | 5 | | 29 | 49 | | 30 | 6 | | 31 | 31 | | 32 | 31 | | 33 | 17 | | 34 | 1 | | 35 | 10 | | 36 | 41 | | 37 | 38 | | 38 | 29 | | 39 | 72 | | 40 | 9 | | 41 | 2 | | 42 | 52 | | 43 | 10 | | 44 | 8 | | 45 | 46 | | 46 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 123 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 200 | | matches | | |
| 98.21% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 128 | | ratio | 0.016 | | matches | | 0 | "Wildflowers carpeted the ground in colours that had no business existing in January—bluebells nodding beside marigolds, snowdrops tangled with foxglove." | | 1 | "She held her hand over the gap and felt—nothing." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1166 | | adjectiveStacks | 1 | | stackExamples | | 0 | "lay crushed beneath her" |
| | adverbCount | 24 | | adverbRatio | 0.02058319039451115 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0017152658662092624 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 9.18 | | std | 7.37 | | cv | 0.803 | | sampleLengths | | 0 | 10 | | 1 | 13 | | 2 | 7 | | 3 | 1 | | 4 | 26 | | 5 | 20 | | 6 | 9 | | 7 | 5 | | 8 | 2 | | 9 | 17 | | 10 | 1 | | 11 | 7 | | 12 | 22 | | 13 | 24 | | 14 | 5 | | 15 | 10 | | 16 | 2 | | 17 | 3 | | 18 | 12 | | 19 | 7 | | 20 | 5 | | 21 | 18 | | 22 | 16 | | 23 | 3 | | 24 | 2 | | 25 | 11 | | 26 | 4 | | 27 | 5 | | 28 | 5 | | 29 | 2 | | 30 | 2 | | 31 | 9 | | 32 | 10 | | 33 | 5 | | 34 | 4 | | 35 | 20 | | 36 | 5 | | 37 | 16 | | 38 | 2 | | 39 | 5 | | 40 | 6 | | 41 | 19 | | 42 | 5 | | 43 | 2 | | 44 | 22 | | 45 | 9 | | 46 | 4 | | 47 | 13 | | 48 | 14 | | 49 | 3 |
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| 53.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.375 | | totalSentences | 128 | | uniqueOpeners | 48 | |
| 32.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 103 | | matches | | 0 | "Then they were stones again," |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 103 | | matches | | 0 | "She pulled out her phone." | | 1 | "She'd noticed it pulsing three" | | 2 | "She rubbed it without thinking." | | 3 | "Its roots broke the surface" | | 4 | "She held her hand over" | | 5 | "She straightened and turned." | | 6 | "She didn't pull it out." | | 7 | "She turned back to the" | | 8 | "She hadn't blinked." | | 9 | "Her heel struck something soft." | | 10 | "She looked down." | | 11 | "She hadn't stepped there before." | | 12 | "She was certain of it." | | 13 | "It formed a shape." | | 14 | "She moved toward the standing" | | 15 | "Her father had taught her" | | 16 | "She kept walking." | | 17 | "They watched her pass with" | | 18 | "She pulled her foot free" | | 19 | "They were fingers." |
| | ratio | 0.214 | |
| 71.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 103 | | matches | | 0 | "The gap between the standing" | | 1 | "Aurora pressed through, brambles catching" | | 2 | "Moonlight struck the clearing like" | | 3 | "The sky above Richmond Park" | | 4 | "Wildflowers carpeted the ground in" | | 5 | "The air tasted of honey" | | 6 | "She pulled out her phone." | | 7 | "The time read 11:47 PM," | | 8 | "The pendant hung warm against" | | 9 | "She'd noticed it pulsing three" | | 10 | "Whatever the thing wanted her" | | 11 | "Aurora started across the grove." | | 12 | "The grass bent under her" | | 13 | "The scar on her left" | | 14 | "She rubbed it without thinking." | | 15 | "Its roots broke the surface" | | 16 | "A perfect circle, edges smooth" | | 17 | "The pendant's heat intensified." | | 18 | "Aurora crouched beside the opening." | | 19 | "She held her hand over" |
| | ratio | 0.777 | |
| 48.54% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 103 | | matches | | 0 | "Now it stretched wider, the" |
| | ratio | 0.01 | |
| 72.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 5 | | matches | | 0 | "A vibration in her teeth, in the bones of her skull, that arranged itself into the cadence of amusement." | | 1 | "For half a second, they weren't stones at all but figures, tall and thin and wrapped in something that moved like cloth but glistened like wet membrane." | | 2 | "Something darker than darkness, something that moved with the slow certainty of a predator that knew its prey had nowhere left to go." | | 3 | "The oak's roots weren't wood but bone, great curved ribs emerging from the earth to arch over the hole that wasn't a hole but a mouth, toothless and waiting." | | 4 | "But when she looked down at her palm, the shape it had left was clear: a crescent-shaped burn, matching the scar on her wrist, weeping clear fluid in the cold J…" |
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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 | |