| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Isolde glanced back [back]" |
| | dialogueSentences | 52 | | tagDensity | 0.288 | | leniency | 0.577 | | rawRatio | 0.067 | | effectiveRatio | 0.038 | |
| 87.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1924 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slowly" | | 2 | "sharply" | | 3 | "perfectly" |
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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) | |
| 76.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1924 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "footsteps" | | 1 | "trembled" | | 2 | "etched" | | 3 | "pulse" | | 4 | "shimmered" | | 5 | "warmth" | | 6 | "stomach" | | 7 | "tracing" | | 8 | "chilled" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 184 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 184 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 220 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1923 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 51.14% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 88 | | wordCount | 1669 | | uniqueNames | 15 | | maxNameDensity | 1.98 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Isolde" | | discoveredNames | | Richmond | 3 | | Park | 3 | | Isolde | 15 | | Rory | 33 | | Heartstone | 2 | | Pendant | 1 | | Nyx | 19 | | May | 1 | | December | 1 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | London | 1 | | Fae-forged | 1 | | Rain | 5 |
| | persons | | 0 | "Isolde" | | 1 | "Rory" | | 2 | "Heartstone" | | 3 | "Pendant" | | 4 | "Nyx" | | 5 | "Yu-Fei" | | 6 | "Rain" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "December" | | 3 | "London" |
| | globalScore | 0.511 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 129 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a row of little doors" | | 1 | "appeared beneath the basin" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.52 | | wordCount | 1923 | | matches | | 0 | "not like metal or rock but like a taut thread" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 220 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 94 | | mean | 20.46 | | std | 18.45 | | cv | 0.902 | | sampleLengths | | 0 | 13 | | 1 | 75 | | 2 | 4 | | 3 | 26 | | 4 | 35 | | 5 | 9 | | 6 | 11 | | 7 | 3 | | 8 | 37 | | 9 | 5 | | 10 | 53 | | 11 | 49 | | 12 | 4 | | 13 | 46 | | 14 | 5 | | 15 | 1 | | 16 | 20 | | 17 | 36 | | 18 | 15 | | 19 | 67 | | 20 | 10 | | 21 | 8 | | 22 | 44 | | 23 | 6 | | 24 | 14 | | 25 | 40 | | 26 | 47 | | 27 | 10 | | 28 | 18 | | 29 | 7 | | 30 | 9 | | 31 | 5 | | 32 | 7 | | 33 | 17 | | 34 | 2 | | 35 | 26 | | 36 | 72 | | 37 | 3 | | 38 | 41 | | 39 | 6 | | 40 | 10 | | 41 | 9 | | 42 | 48 | | 43 | 5 | | 44 | 4 | | 45 | 5 | | 46 | 10 | | 47 | 61 | | 48 | 6 | | 49 | 26 |
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| 99.54% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 184 | | matches | | 0 | "were ridged" | | 1 | "were gone" | | 2 | "were gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 294 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 220 | | ratio | 0.014 | | matches | | 0 | "Flowers crowded the moss—bluebells, foxgloves, white blossoms she would have expected in May, all open together in December." | | 1 | "The leaf was brittle; the shoot was cool and firm." | | 2 | "Rory knew the name; seeing even this much of it made the name feel smaller than the place." |
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| 99.50% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1676 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 68 | | adverbRatio | 0.0405727923627685 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.00477326968973747 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 220 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 220 | | mean | 8.74 | | std | 5.33 | | cv | 0.61 | | sampleLengths | | 0 | 13 | | 1 | 8 | | 2 | 33 | | 3 | 17 | | 4 | 17 | | 5 | 4 | | 6 | 6 | | 7 | 11 | | 8 | 9 | | 9 | 13 | | 10 | 11 | | 11 | 11 | | 12 | 9 | | 13 | 11 | | 14 | 3 | | 15 | 9 | | 16 | 19 | | 17 | 9 | | 18 | 5 | | 19 | 11 | | 20 | 7 | | 21 | 19 | | 22 | 16 | | 23 | 9 | | 24 | 18 | | 25 | 6 | | 26 | 16 | | 27 | 3 | | 28 | 1 | | 29 | 5 | | 30 | 17 | | 31 | 11 | | 32 | 13 | | 33 | 5 | | 34 | 1 | | 35 | 5 | | 36 | 12 | | 37 | 3 | | 38 | 7 | | 39 | 11 | | 40 | 7 | | 41 | 11 | | 42 | 8 | | 43 | 7 | | 44 | 3 | | 45 | 18 | | 46 | 9 | | 47 | 9 | | 48 | 18 | | 49 | 6 |
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| 48.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.30454545454545456 | | totalSentences | 220 | | uniqueOpeners | 67 | |
| 19.84% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 168 | | matches | | 0 | "Then their fingers closed, solid," |
| | ratio | 0.006 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 168 | | matches | | 0 | "Their surfaces were ridged like" | | 1 | "Her silver hair trailed down" | | 2 | "She stepped through the mud" | | 3 | "Their violet eyes narrowed at" | | 4 | "She stepped between the stones." | | 5 | "Her boot came down on" | | 6 | "Its wings made a low," | | 7 | "They reached through the gap." | | 8 | "They came through with an" | | 9 | "Her pale lavender eyes moved" | | 10 | "Its chain settled cold against" | | 11 | "They walked downhill." | | 12 | "She stopped once to locate" | | 13 | "She crouched beside a patch" | | 14 | "She touched both." | | 15 | "She had spent enough time" | | 16 | "She checked her phone instead." | | 17 | "She looked down again." | | 18 | "Their trunks were enormous, broad" | | 19 | "Its exposed face bore narrow" |
| | ratio | 0.298 | |
| 37.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 142 | | totalSentences | 168 | | matches | | 0 | "The path ended at three" | | 1 | "Rory stopped with one boot" | | 2 | "Rain ticked against the hood" | | 3 | "The stones stood close enough" | | 4 | "Their surfaces were ridged like" | | 5 | "Isolde passed between them without" | | 6 | "Her silver hair trailed down" | | 7 | "She stepped through the mud" | | 8 | "Nyx drew up beside Rory," | | 9 | "Rain passed through one shoulder" | | 10 | "Their violet eyes narrowed at" | | 11 | "Rory pulled the Heartstone Pendant" | | 12 | "The crimson gem glowed faintly" | | 13 | "She stepped between the stones." | | 14 | "The rain stopped so suddenly" | | 15 | "Her boot came down on" | | 16 | "Light fell between its trees" | | 17 | "Flowers crowded the moss—bluebells, foxgloves," | | 18 | "A bee drifted past her" | | 19 | "Its wings made a low," |
| | ratio | 0.845 | |
| 29.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 168 | | matches | | | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 70 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 92.31% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "they whispered (whisper)" | | 1 | "Isolde added (add)" | | 2 | "Nyx whispered (whisper)" |
| | dialogueSentences | 52 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.231 | | effectiveRatio | 0.115 | |