| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 766 | | totalAiIsmAdverbs | 1 | | 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) | |
| 8.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 766 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "silence" | | 3 | "whisper" | | 4 | "echo" | | 5 | "throbbed" | | 6 | "flicker" | | 7 | "pulse" | | 8 | "searing" | | 9 | "glistening" | | 10 | "vibrated" |
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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 | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 94 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 8 | | totalWords | 759 | | ratio | 0.011 | | matches | | 0 | "Where the hell are you? It’s 3 a.m." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.16% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 743 | | uniqueNames | 7 | | maxNameDensity | 1.08 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Fae | 1 | | Grove | 1 | | Heartstone | 2 | | Eva | 3 | | Park | 1 | | Good | 1 | | Rory | 8 |
| | persons | | | places | | | globalScore | 0.962 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 4 | | matches | | 0 | "as if refusing to acknowledge her presence" | | 1 | "quite match" | | 2 | "seemed taller now, their branches weaving together overhead, blocking out the moon" | | 3 | "as if trying to block her" |
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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 | 759 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 23.72 | | std | 16.66 | | cv | 0.702 | | sampleLengths | | 0 | 76 | | 1 | 53 | | 2 | 36 | | 3 | 28 | | 4 | 10 | | 5 | 9 | | 6 | 30 | | 7 | 20 | | 8 | 5 | | 9 | 36 | | 10 | 32 | | 11 | 36 | | 12 | 9 | | 13 | 7 | | 14 | 29 | | 15 | 4 | | 16 | 22 | | 17 | 5 | | 18 | 49 | | 19 | 23 | | 20 | 41 | | 21 | 14 | | 22 | 17 | | 23 | 36 | | 24 | 35 | | 25 | 18 | | 26 | 2 | | 27 | 24 | | 28 | 15 | | 29 | 8 | | 30 | 28 | | 31 | 2 |
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| 97.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 94 | | matches | | |
| 98.99% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 132 | | matches | | 0 | "wasn’t answering" | | 1 | "was burning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 97 | | ratio | 0.072 | | matches | | 0 | "The air in the Fae Grove tasted different—thicker, sweeter, like breathing in crushed petals." | | 1 | "The wildflowers underfoot didn’t crunch—they bent silently beneath her boots, as if refusing to acknowledge her presence." | | 2 | "Richmond Park had deer, foxes—normal things." | | 3 | "She snapped her head toward it—just a shadow." | | 4 | "Then a breath against the back of her neck—cold, damp, smelling of earth and rotting leaves." | | 5 | "She forced herself to stand straight, to meet the thing’s gaze—except it didn’t have eyes." | | 6 | "The crimson light pulsed once, twice—then flared blindingly bright." |
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| 85.83% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 750 | | adjectiveStacks | 1 | | stackExamples | | 0 | "different—thicker, sweeter, like" |
| | adverbCount | 37 | | adverbRatio | 0.04933333333333333 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006666666666666667 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 7.82 | | std | 4.96 | | cv | 0.633 | | sampleLengths | | 0 | 14 | | 1 | 19 | | 2 | 17 | | 3 | 5 | | 4 | 21 | | 5 | 14 | | 6 | 22 | | 7 | 17 | | 8 | 4 | | 9 | 5 | | 10 | 15 | | 11 | 3 | | 12 | 9 | | 13 | 5 | | 14 | 10 | | 15 | 3 | | 16 | 4 | | 17 | 6 | | 18 | 5 | | 19 | 2 | | 20 | 2 | | 21 | 1 | | 22 | 8 | | 23 | 1 | | 24 | 1 | | 25 | 9 | | 26 | 8 | | 27 | 12 | | 28 | 2 | | 29 | 9 | | 30 | 9 | | 31 | 3 | | 32 | 2 | | 33 | 11 | | 34 | 14 | | 35 | 11 | | 36 | 7 | | 37 | 8 | | 38 | 1 | | 39 | 4 | | 40 | 10 | | 41 | 2 | | 42 | 6 | | 43 | 15 | | 44 | 5 | | 45 | 10 | | 46 | 9 | | 47 | 6 | | 48 | 1 | | 49 | 2 |
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| 48.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.35051546391752575 | | totalSentences | 97 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 77 | | matches | | 0 | "Just an animal." | | 1 | "Then, from somewhere behind her," | | 2 | "Too many notes in it," | | 3 | "Then a breath against the" | | 4 | "Just hollows where they should’ve" | | 5 | "Then it stepped forward." |
| | ratio | 0.078 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 77 | | matches | | 0 | "She shouldn’t have come alone." | | 1 | "They were too symmetrical to" | | 2 | "She checked her phone." | | 3 | "She’d known that, theoretically, but" | | 4 | "It had to be." | | 5 | "She exhaled slowly, forcing her" | | 6 | "She took a step back" | | 7 | "She snapped her head toward" | | 8 | "Her pulse hammered in her" | | 9 | "She’d seen enough weird shit" | | 10 | "Her voice didn’t shake" | | 11 | "She didn’t scream." | | 12 | "Her foot caught on a" | | 13 | "It didn’t move." | | 14 | "She forced herself to stand" | | 15 | "she said, voice steady" | | 16 | "She skidded to a stop" | | 17 | "Her phone buzzed." | | 18 | "It’s 3 a.m.*" | | 19 | "She’d lost three hours." |
| | ratio | 0.273 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 77 | | matches | | 0 | "The air in the Fae" | | 1 | "Rory adjusted the strap of" | | 2 | "The Heartstone pendant against her" | | 3 | "She shouldn’t have come alone." | | 4 | "Eva would’ve scolded her for" | | 5 | "Moonlight filtered through the ancient" | | 6 | "They were too symmetrical to" | | 7 | "The wildflowers underfoot didn’t crunch—they" | | 8 | "She checked her phone." | | 9 | "The time read 11:37 p.m.," | | 10 | "Time slipped here." | | 11 | "She’d known that, theoretically, but" | | 12 | "A rustle in the undergrowth." | | 13 | "Rory froze, hand drifting to" | | 14 | "It had to be." | | 15 | "Richmond Park had deer, foxes—normal" | | 16 | "The sound came again, closer." | | 17 | "She exhaled slowly, forcing her" | | 18 | "Nothing but the standing stones" | | 19 | "The pendant throbbed against her" |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "The Heartstone pendant against her collarbone pulsed faintly, a slow, steady warmth that had guided her here." | | 1 | "They were too symmetrical to be natural, their surfaces carved with symbols that made her eyes ache if she stared too long." | | 2 | "The wildflowers underfoot didn’t crunch—they bent silently beneath her boots, as if refusing to acknowledge her presence." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, voice steady" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.5 | | effectiveRatio | 0.333 | |