| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 992 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "gently" | | 2 | "slowly" | | 3 | "suddenly" |
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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) | |
| 14.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 992 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "silk" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "pulse" | | 4 | "scanned" | | 5 | "sentinel" | | 6 | "echo" | | 7 | "silence" | | 8 | "scanning" | | 9 | "rhythmic" | | 10 | "perfect" | | 11 | "lilt" | | 12 | "searing" |
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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 | 161 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 161 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 168 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 15 | | totalWords | 965 | | ratio | 0.016 | | matches | | 0 | "Drop the parcel at the standing stones before moonrise. No delays." | | 1 | "Pulse." | | 2 | "inside" | | 3 | "waiting" | | 4 | "back" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 923 | | uniqueNames | 13 | | maxNameDensity | 0.98 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Eva" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Rory | 9 | | Yu-Fei | 2 | | Simple | 1 | | Grove | 1 | | Heartstone | 1 | | Pendant | 1 | | Underground | 1 | | One | 2 | | Silence | 1 | | Eva | 8 | | Camden | 1 |
| | persons | | 0 | "Rory" | | 1 | "Yu-Fei" | | 2 | "Simple" | | 3 | "Silence" | | 4 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "Underground" | | 4 | "One" | | 5 | "Camden" |
| | globalScore | 1 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | 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 | 965 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 168 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 99 | | mean | 9.75 | | std | 12.37 | | cv | 1.269 | | sampleLengths | | 0 | 63 | | 1 | 6 | | 2 | 62 | | 3 | 19 | | 4 | 52 | | 5 | 1 | | 6 | 2 | | 7 | 2 | | 8 | 2 | | 9 | 4 | | 10 | 52 | | 11 | 3 | | 12 | 9 | | 13 | 3 | | 14 | 24 | | 15 | 9 | | 16 | 59 | | 17 | 3 | | 18 | 4 | | 19 | 1 | | 20 | 20 | | 21 | 2 | | 22 | 6 | | 23 | 1 | | 24 | 3 | | 25 | 11 | | 26 | 2 | | 27 | 9 | | 28 | 3 | | 29 | 9 | | 30 | 6 | | 31 | 26 | | 32 | 13 | | 33 | 1 | | 34 | 4 | | 35 | 3 | | 36 | 16 | | 37 | 15 | | 38 | 30 | | 39 | 2 | | 40 | 4 | | 41 | 3 | | 42 | 16 | | 43 | 10 | | 44 | 1 | | 45 | 3 | | 46 | 11 | | 47 | 15 | | 48 | 2 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 161 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 169 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 24 | | semicolonCount | 0 | | flaggedSentences | 19 | | totalSentences | 168 | | ratio | 0.113 | | matches | | 0 | "The air smelled wrong—too sweet, like lilac soaked in iron." | | 1 | "She’d done odd deliveries to the Grove before—heroin vials wrapped in silk, ancient-looking coins sealed in wax—for clients Yu-Fei never named." | | 2 | "Now, cradled against her collarbone, the crimson gem stirred—warmth blooming gently beneath her skin." | | 3 | "Between them, the wildflowers—snowdrops, foxgloves, some with petals too deep, too dark in this light—nodded in a wind that didn’t touch her cheeks." | | 4 | "Long, black, barbs intact—but wrong." | | 5 | "She could almost hear it—an echo beneath her ribs, a subharmonic hum." | | 6 | "Then—laughter." | | 7 | "Something moved in her periphery—left, beyond the third stone." | | 8 | "She started for the bramble line—the way she’d come—when the giggle came again." | | 9 | "The bramble snarled, thick and thorned, but she knew the gap—had used it before." | | 10 | "The silver chain twitched as if tugged, the gem flaring crimson for a heartbeat—then dim again." | | 11 | "But the face—" | | 12 | "—the face was too long." | | 13 | "And in its hand—her parcel." | | 14 | "The flowers—dozens of them—turned." | | 15 | "Rory’s pendant flared again—red heat searing her skin." | | 16 | "From it, a cold breath exhaled—sour, ancient, wet with rot." | | 17 | "From within—something shifted." | | 18 | "And Rory knew—suddenly, horribly—that this hadn’t been a delivery." |
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| 91.66% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 949 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 47 | | adverbRatio | 0.04952581664910432 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007376185458377239 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 168 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 168 | | mean | 5.74 | | std | 5.06 | | cv | 0.881 | | sampleLengths | | 0 | 21 | | 1 | 16 | | 2 | 16 | | 3 | 10 | | 4 | 6 | | 5 | 15 | | 6 | 3 | | 7 | 1 | | 8 | 21 | | 9 | 3 | | 10 | 19 | | 11 | 19 | | 12 | 12 | | 13 | 3 | | 14 | 18 | | 15 | 14 | | 16 | 5 | | 17 | 1 | | 18 | 2 | | 19 | 2 | | 20 | 1 | | 21 | 1 | | 22 | 4 | | 23 | 20 | | 24 | 9 | | 25 | 23 | | 26 | 3 | | 27 | 6 | | 28 | 3 | | 29 | 3 | | 30 | 2 | | 31 | 5 | | 32 | 10 | | 33 | 7 | | 34 | 5 | | 35 | 4 | | 36 | 14 | | 37 | 1 | | 38 | 12 | | 39 | 24 | | 40 | 8 | | 41 | 3 | | 42 | 4 | | 43 | 1 | | 44 | 2 | | 45 | 2 | | 46 | 3 | | 47 | 13 | | 48 | 2 | | 49 | 6 |
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| 52.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.35714285714285715 | | totalSentences | 168 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 109 | | matches | | 0 | "Just the warmth of the" | | 1 | "Only a shadow, stretched too" | | 2 | "Just the cold glass." | | 3 | "Then it began to hum." | | 4 | "All layered beneath that single," | | 5 | "Then split open." | | 6 | "Just darkness unspooling like thread" |
| | ratio | 0.064 | |
| 95.23% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 109 | | matches | | 0 | "Her boots sank slightly in" | | 1 | "She paused, breath steaming in" | | 2 | "She shouldn’t have come at" | | 3 | "She’d done odd deliveries to" | | 4 | "She hadn’t worn it since" | | 5 | "She touched it, fingers trembling." | | 6 | "She scanned the grove." | | 7 | "Her boot crunched on something" | | 8 | "She looked down." | | 9 | "She kicked it aside, pulse" | | 10 | "She could almost hear it—an" | | 11 | "She reached the largest stone," | | 12 | "She bent, placed the package" | | 13 | "She turned, scanning the tree" | | 14 | "she called, hating how thin" | | 15 | "She stepped back." | | 16 | "She snapped her head toward" | | 17 | "She started for the bramble" | | 18 | "She didn’t turn." | | 19 | "she said, louder" |
| | ratio | 0.312 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 109 | | matches | | 0 | "Rain had slicked the cobbles" | | 1 | "Her boots sank slightly in" | | 2 | "She paused, breath steaming in" | | 3 | "The air smelled wrong—too sweet," | | 4 | "She shouldn’t have come at" | | 5 | "She’d done odd deliveries to" | | 6 | "The rules were simple: don’t" | | 7 | "This time, though, the moon" | | 8 | "Rory unzipped her jacket just" | | 9 | "The Heartstone Pendant." | | 10 | "She hadn’t worn it since" | | 11 | "She touched it, fingers trembling." | | 12 | "She scanned the grove." | | 13 | "The standing stones stood sentinel" | | 14 | "Moss clung to their northern" | | 15 | "Rory stepped forward." | | 16 | "Her boot crunched on something" | | 17 | "She looked down." | | 18 | "The shaft was ribbed, like" | | 19 | "She kicked it aside, pulse" |
| | ratio | 0.697 | |
| 45.87% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 109 | | matches | | 0 | "Now, cradled against her collarbone," |
| | ratio | 0.009 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 3 | | matches | | 0 | "Between them, the wildflowers—snowdrops, foxgloves, some with petals too deep, too dark in this light—nodded in a wind that didn’t touch her cheeks." | | 1 | "She reached the largest stone, its surface carved with symbols she didn’t recognize: spirals that looped too many times, angles that didn’t obey perspective." | | 2 | "The silver chain twitched as if tugged, the gem flaring crimson for a heartbeat—then dim again." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "it whispered (whisper)" |
| | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.333 | | effectiveRatio | 0.308 | |