| 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 | 1002 | | 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) | |
| 10.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1002 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "loomed" | | 1 | "pulsed" | | 2 | "familiar" | | 3 | "charged" | | 4 | "warmth" | | 5 | "silence" | | 6 | "weight" | | 7 | "rhythmic" | | 8 | "lurch" | | 9 | "stomach" | | 10 | "pulse" | | 11 | "trembled" |
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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 | 103 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 103 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1002 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 1 | | matches | | 0 | "Bird bones, she told herself." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1002 | | uniqueNames | 10 | | maxNameDensity | 0.5 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Stopping" | | discoveredNames | | Aurora | 1 | | Richmond | 4 | | Park | 4 | | October | 1 | | Heartstone | 2 | | Hel | 2 | | Fae-touched | 1 | | English | 1 | | Rory | 5 | | Stopping | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Rory" | | 2 | "Stopping" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "October" |
| | globalScore | 1 | | windowScore | 1 | |
| 11.11% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like a wound against the black gra" | | 1 | "felt like held breath" | | 2 | "looked like grasping fingers" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1002 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 103 | | matches | | 0 | "made that sound" | | 1 | "noticed that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 25.05 | | std | 17.51 | | cv | 0.699 | | sampleLengths | | 0 | 24 | | 1 | 38 | | 2 | 9 | | 3 | 39 | | 4 | 48 | | 5 | 2 | | 6 | 46 | | 7 | 5 | | 8 | 55 | | 9 | 43 | | 10 | 4 | | 11 | 41 | | 12 | 4 | | 13 | 48 | | 14 | 35 | | 15 | 5 | | 16 | 43 | | 17 | 32 | | 18 | 8 | | 19 | 25 | | 20 | 20 | | 21 | 34 | | 22 | 17 | | 23 | 6 | | 24 | 31 | | 25 | 48 | | 26 | 4 | | 27 | 54 | | 28 | 29 | | 29 | 38 | | 30 | 6 | | 31 | 18 | | 32 | 5 | | 33 | 48 | | 34 | 7 | | 35 | 7 | | 36 | 3 | | 37 | 39 | | 38 | 30 | | 39 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 24.56% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 152 | | matches | | 0 | "was not warning" | | 1 | "was warning" | | 2 | "was reacting" | | 3 | "was breathing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 103 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1004 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.0348605577689243 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.00398406374501992 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 9.73 | | std | 8.28 | | cv | 0.852 | | sampleLengths | | 0 | 24 | | 1 | 3 | | 2 | 20 | | 3 | 15 | | 4 | 7 | | 5 | 1 | | 6 | 1 | | 7 | 13 | | 8 | 2 | | 9 | 24 | | 10 | 2 | | 11 | 4 | | 12 | 25 | | 13 | 2 | | 14 | 2 | | 15 | 13 | | 16 | 2 | | 17 | 13 | | 18 | 33 | | 19 | 5 | | 20 | 4 | | 21 | 16 | | 22 | 11 | | 23 | 24 | | 24 | 3 | | 25 | 2 | | 26 | 20 | | 27 | 18 | | 28 | 4 | | 29 | 10 | | 30 | 1 | | 31 | 30 | | 32 | 4 | | 33 | 16 | | 34 | 32 | | 35 | 4 | | 36 | 1 | | 37 | 1 | | 38 | 4 | | 39 | 2 | | 40 | 2 | | 41 | 21 | | 42 | 5 | | 43 | 4 | | 44 | 5 | | 45 | 19 | | 46 | 15 | | 47 | 4 | | 48 | 3 | | 49 | 25 |
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| 52.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.4077669902912621 | | totalSentences | 103 | | uniqueOpeners | 42 | |
| 40.16% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 83 | | matches | | 0 | "Definitely bird bones." |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 83 | | matches | | 0 | "She stopped walking." | | 1 | "Her trainers pressed into soft" | | 2 | "She touched it without thinking," | | 3 | "She had counted five." | | 4 | "She did not turn." | | 5 | "Her father had taught her" | | 6 | "She had noticed that the" | | 7 | "She had charged it to" | | 8 | "She could hear her own" | | 9 | "She had not blinked." | | 10 | "She had not looked away." | | 11 | "It was warning her about" | | 12 | "Her heel caught on something," | | 13 | "She looked back at the" | | 14 | "She ran past the clover" | | 15 | "Her shoulder clipped a trunk." | | 16 | "She spun, corrected, kept moving." | | 17 | "She grabbed it, yanked it" | | 18 | "She had not seen a" | | 19 | "She was no longer in" |
| | ratio | 0.253 | |
| 92.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 83 | | matches | | 0 | "The standing stones loomed ahead," | | 1 | "She stopped walking." | | 2 | "Her trainers pressed into soft" | | 3 | "The ground gave like a" | | 4 | "The pendant against her collarbone" | | 5 | "She touched it without thinking," | | 6 | "The crimson gem stayed dark," | | 7 | "She had counted five." | | 8 | "A red so vivid it" | | 9 | "Rory pulled her hand away" | | 10 | "The extra stone stood between" | | 11 | "A twig snapped behind her." | | 12 | "She did not turn." | | 13 | "Her father had taught her" | | 14 | "The wildflowers rustled." | | 15 | "She had noticed that the" | | 16 | "Rory reached into her jacket" | | 17 | "She had charged it to" | | 18 | "The flowers stopped moving." | | 19 | "She could hear her own" |
| | ratio | 0.735 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "Now the flowers moved, a" |
| | ratio | 0.012 | |
| 55.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 5 | | matches | | 0 | "Ancient oak, gnarled and split, arranged in a rough circle around the clearing where wildflowers bloomed in colours that had no business existing in autumn." | | 1 | "The extra stone stood between the second and third positions, shorter than the others by half a metre, and tilted at an angle that made it look like a head cock…" | | 2 | "The Fae-touched space between worlds, the pocket dimension that existed in the fold of Richmond Park, was reacting to something." | | 3 | "These were slender, pale-barked, their branches reaching toward her at angles that looked like grasping fingers." | | 4 | "Cold, like a stone pulled from a frozen river, like the touch of something that had never known sunlight." |
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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 | |