| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1244 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "gently" | | 1 | "sharply" | | 2 | "slowly" | | 3 | "precisely" |
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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) | |
| 3.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1244 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "whisper" | | 1 | "silence" | | 2 | "weight" | | 3 | "familiar" | | 4 | "pulsed" | | 5 | "warmth" | | 6 | "fractured" | | 7 | "gloom" | | 8 | "perfect" | | 9 | "etched" | | 10 | "silk" | | 11 | "flicker" | | 12 | "stomach" | | 13 | "rhythmic" | | 14 | "pulse" | | 15 | "loomed" | | 16 | "lilt" | | 17 | "searing" | | 18 | "porcelain" |
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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 | 219 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 219 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 226 | | 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 | 12 | | markdownWords | 47 | | totalWords | 1223 | | ratio | 0.038 | | matches | | 0 | "Go to the Grove. Midnight. You’re needed." | | 1 | "pulled" | | 2 | "“She comes. She comes. She carries the stone. She bears the mark.”" | | 3 | "breathe" | | 4 | "“Hush now, Rory, stars are high, close your eyes and watch them fly…”" | | 5 | "in front" | | 6 | "“Dreams are safe and shadows lie…”" | | 7 | "Formed." | | 8 | "knew" | | 9 | "dull" | | 10 | "be" | | 11 | "face" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1105 | | uniqueNames | 13 | | maxNameDensity | 1.27 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Fae | 1 | | Grove | 2 | | Rory | 14 | | Richmond | 1 | | Park | 1 | | Heartstone | 2 | | Eva | 3 | | Welsh | 1 | | Jennifer | 1 | | Ellis | 1 | | Cardiff | 1 | | Evan | 2 | | Didn | 3 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Jennifer" | | 3 | "Ellis" | | 4 | "Evan" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "Cardiff" |
| | globalScore | 0.867 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 1 | | matches | | 0 | "something like a robe, but the cloth didn’t" |
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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 | 1223 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 226 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 111 | | mean | 11.02 | | std | 14.72 | | cv | 1.336 | | sampleLengths | | 0 | 86 | | 1 | 46 | | 2 | 2 | | 3 | 63 | | 4 | 27 | | 5 | 12 | | 6 | 67 | | 7 | 45 | | 8 | 2 | | 9 | 18 | | 10 | 5 | | 11 | 49 | | 12 | 23 | | 13 | 2 | | 14 | 5 | | 15 | 3 | | 16 | 51 | | 17 | 2 | | 18 | 10 | | 19 | 6 | | 20 | 3 | | 21 | 5 | | 22 | 14 | | 23 | 10 | | 24 | 4 | | 25 | 3 | | 26 | 13 | | 27 | 5 | | 28 | 8 | | 29 | 12 | | 30 | 14 | | 31 | 12 | | 32 | 3 | | 33 | 31 | | 34 | 15 | | 35 | 9 | | 36 | 1 | | 37 | 3 | | 38 | 2 | | 39 | 4 | | 40 | 3 | | 41 | 10 | | 42 | 13 | | 43 | 3 | | 44 | 21 | | 45 | 8 | | 46 | 9 | | 47 | 3 | | 48 | 5 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 219 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 209 | | matches | | 0 | "wasn’t looking" | | 1 | "wasn’t glowing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 22 | | semicolonCount | 0 | | flaggedSentences | 16 | | totalSentences | 226 | | ratio | 0.071 | | matches | | 0 | "But the pendant around her neck pulsed—once, gently—like a sleeping thing twitching in its dreams." | | 1 | "The wildflowers—impossibly bright even in this gloom—grew in perfect spirals along the ground, petals too vivid, too symmetrical, as if arranged by hands that didn’t understand chaos." | | 2 | "The pendant pulsed again—stronger this time—and a faint crimson glow seeped through her shirt." | | 3 | "She stared at the nearest standing stone—massive, gnarled, bark etched with symbols that shifted when she wasn’t looking." | | 4 | "Not from cold—the grove was unnervingly warm—but from something else." | | 5 | "Eyes—no." | | 6 | "Didn’t blink—because it couldn’t." | | 7 | "It pressed two long fingers into the hollow where an eye should be—and *pulled*." | | 8 | "Just beyond them—parkland." | | 9 | "And then—music." | | 10 | "*Formed.* Her features, carved from overlapping blossoms—lips parted, eyes wide—mouth moving in time with the lullaby." | | 11 | "One—Evan’s." | | 12 | "Face—no, not a face." | | 13 | "At the end—the Heartstone pendant." | | 14 | "Then, in a voice that was not a voice—more like words pressed between teeth—she spoke." | | 15 | "The pendant in Rory’s hand flared one last time—scorching, desperate." |
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| 99.20% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 220 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.04090909090909091 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 226 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 226 | | mean | 5.41 | | std | 5.22 | | cv | 0.965 | | sampleLengths | | 0 | 8 | | 1 | 16 | | 2 | 24 | | 3 | 4 | | 4 | 27 | | 5 | 3 | | 6 | 4 | | 7 | 12 | | 8 | 17 | | 9 | 15 | | 10 | 1 | | 11 | 1 | | 12 | 2 | | 13 | 33 | | 14 | 5 | | 15 | 5 | | 16 | 17 | | 17 | 1 | | 18 | 2 | | 19 | 7 | | 20 | 3 | | 21 | 4 | | 22 | 13 | | 23 | 12 | | 24 | 5 | | 25 | 14 | | 26 | 27 | | 27 | 6 | | 28 | 15 | | 29 | 9 | | 30 | 3 | | 31 | 8 | | 32 | 4 | | 33 | 5 | | 34 | 8 | | 35 | 3 | | 36 | 5 | | 37 | 2 | | 38 | 4 | | 39 | 14 | | 40 | 5 | | 41 | 2 | | 42 | 2 | | 43 | 7 | | 44 | 2 | | 45 | 2 | | 46 | 6 | | 47 | 18 | | 48 | 2 | | 49 | 5 |
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| 56.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.38495575221238937 | | totalSentences | 226 | | uniqueOpeners | 87 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 11 | | totalSentences | 145 | | matches | | 0 | "Instead, it carried a metallic" | | 1 | "Then came the first sound." | | 2 | "Just breath shaped into syllables" | | 3 | "Then, only grain." | | 4 | "Then the whisper came again." | | 5 | "Then it began to *breathe*." | | 6 | "Just beyond them—parkland." | | 7 | "Precisely as Jennifer Ellis sang" | | 8 | "Only, it wasn’t glowing." | | 9 | "Then, in a voice that" | | 10 | "Then it went dark." |
| | ratio | 0.076 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 145 | | matches | | 0 | "It pressed against her ears" | | 1 | "She stopped just inside the" | | 2 | "It had arrived two nights" | | 3 | "She hadn’t asked for it." | | 4 | "It filtered through the canopy" | | 5 | "Their perfume should have been" | | 6 | "It didn’t tingle." | | 7 | "She took another step." | | 8 | "She stared at the nearest" | | 9 | "Her breath fogged." | | 10 | "She turned sharply." | | 11 | "It wore something like a" | | 12 | "It rippled without wind, as" | | 13 | "It pressed two long fingers" | | 14 | "She took a step back." | | 15 | "She backed toward the ring" | | 16 | "Her boot struck something soft." | | 17 | "She looked down." | | 18 | "She stepped away." | | 19 | "She knew it." |
| | ratio | 0.214 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 145 | | matches | | 0 | "The air inside the Fae" | | 1 | "That was the first thing" | | 2 | "The silence had weight." | | 3 | "It pressed against her ears" | | 4 | "Nothing was loud enough." | | 5 | "She stopped just inside the" | | 6 | "It had arrived two nights" | | 7 | "She hadn’t asked for it." | | 8 | "Eva would have called it" | | 9 | "Rory knew that." | | 10 | "Moonlight didn’t fall clean here." | | 11 | "It filtered through the canopy" | | 12 | "The wildflowers—impossibly bright even in" | | 13 | "Their perfume should have been" | | 14 | "Rory’s fingers brushed the crescent-shaped" | | 15 | "A nervous habit." | | 16 | "Evan used to hate when" | | 17 | "It didn’t tingle." | | 18 | "That should have comforted her." | | 19 | "She took another step." |
| | ratio | 0.641 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 145 | | matches | | 0 | "Now, standing in the grove," | | 1 | "To her left." | | 2 | "Now all shaped like faces." |
| | ratio | 0.021 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 1 | | matches | | 0 | "The wildflowers—impossibly bright even in this gloom—grew in perfect spirals along the ground, petals too vivid, too symmetrical, as if arranged by hands that d…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 11 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.25 | | effectiveRatio | 0.182 | |