| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2147 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "reluctantly" | | count | 1 |
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| | highlights | | 0 | "slowly" | | 1 | "gently" | | 2 | "suddenly" | | 3 | "reluctantly" |
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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) | |
| 32.46% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2147 | | totalAiIsms | 29 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "down her spine" | | count | 1 |
| | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "footfall" | | 3 | "comforting" | | 4 | "flicker" | | 5 | "quickened" | | 6 | "vibrated" | | 7 | "glistening" | | 8 | "anticipation" | | 9 | "whisper" | | 10 | "down her spine" | | 11 | "tracing" | | 12 | "stomach" | | 13 | "structure" | | 14 | "flicked" | | 15 | "silk" | | 16 | "crystalline" | | 17 | "fractured" | | 18 | "crystal" | | 19 | "could feel" | | 20 | "perfect" | | 21 | "silence" | | 22 | "familiar" |
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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 | 1 | | narrationSentences | 218 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 218 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 225 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 9 | | markdownWords | 72 | | totalWords | 2147 | | ratio | 0.034 | | matches | | 0 | "Come closer, little barrister's daughter." | | 1 | "Your friend made her choice." | | 2 | "She opened the door. She invited us in." | | 3 | "You carry the mark of Dymas." | | 4 | "The old blood sings in you. The Heartstone knows its own." | | 5 | "Malphora." | | 6 | "Names are pretty lies we tell ourselves. You came here seeking truth. Shall I show you what your friend became?" | | 7 | "The door remembers you. It has waited long." | | 8 | "Blood calls blood. The grove opens both ways." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 2070 | | uniqueNames | 18 | | maxNameDensity | 1.11 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 4 | | Pendant | 1 | | Richmond | 2 | | Park | 2 | | Cardiff | 1 | | Evan | 2 | | Thai | 1 | | Golden | 1 | | Empress | 1 | | Silas | 2 | | Fae | 1 | | Grove | 4 | | Cool-headed | 1 | | Rory | 23 | | Carter | 1 | | London | 3 | | Eva | 3 | | Isolde | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "Evan" | | 3 | "Silas" | | 4 | "Rory" | | 5 | "Carter" | | 6 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "Golden" | | 4 | "Fae" | | 5 | "Grove" | | 6 | "London" |
| | globalScore | 0.944 | | windowScore | 0.833 | |
| 48.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 148 | | glossingSentenceCount | 6 | | matches | | 0 | "felt like an hour" | | 1 | "tasted like a lie" | | 2 | "something like delight" | | 3 | "seemed uncertain" | | 4 | "felt like stories from someone else's c" | | 5 | "as if fighting the pull of the crimson light" |
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| 13.69% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 1.863 | | wordCount | 2147 | | matches | | 0 | "Not sound, but a pressure" | | 1 | "not flesh but something crystalline" | | 2 | "not from heat but from some deeper transformation" | | 3 | "not the other side of Richmond Park but an endless corridor of mirrors" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 225 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 37.02 | | std | 19.75 | | cv | 0.534 | | sampleLengths | | 0 | 41 | | 1 | 56 | | 2 | 19 | | 3 | 63 | | 4 | 11 | | 5 | 43 | | 6 | 12 | | 7 | 77 | | 8 | 34 | | 9 | 30 | | 10 | 31 | | 11 | 33 | | 12 | 27 | | 13 | 11 | | 14 | 49 | | 15 | 1 | | 16 | 56 | | 17 | 5 | | 18 | 67 | | 19 | 49 | | 20 | 54 | | 21 | 68 | | 22 | 56 | | 23 | 34 | | 24 | 37 | | 25 | 25 | | 26 | 56 | | 27 | 41 | | 28 | 47 | | 29 | 47 | | 30 | 47 | | 31 | 23 | | 32 | 49 | | 33 | 1 | | 34 | 43 | | 35 | 22 | | 36 | 44 | | 37 | 47 | | 38 | 61 | | 39 | 57 | | 40 | 21 | | 41 | 67 | | 42 | 9 | | 43 | 60 | | 44 | 49 | | 45 | 48 | | 46 | 8 | | 47 | 3 | | 48 | 53 | | 49 | 47 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 218 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 358 | | matches | | 0 | "wasn't looking" | | 1 | "was clothing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 225 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2077 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 78 | | adverbRatio | 0.03755416466056813 | | lyAdverbCount | 25 | | lyAdverbRatio | 0.01203659123736158 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 225 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 225 | | mean | 9.54 | | std | 6.11 | | cv | 0.64 | | sampleLengths | | 0 | 16 | | 1 | 18 | | 2 | 7 | | 3 | 11 | | 4 | 11 | | 5 | 10 | | 6 | 19 | | 7 | 5 | | 8 | 7 | | 9 | 12 | | 10 | 4 | | 11 | 7 | | 12 | 16 | | 13 | 7 | | 14 | 9 | | 15 | 20 | | 16 | 4 | | 17 | 2 | | 18 | 5 | | 19 | 2 | | 20 | 1 | | 21 | 11 | | 22 | 25 | | 23 | 4 | | 24 | 12 | | 25 | 6 | | 26 | 11 | | 27 | 22 | | 28 | 19 | | 29 | 5 | | 30 | 4 | | 31 | 10 | | 32 | 3 | | 33 | 6 | | 34 | 13 | | 35 | 1 | | 36 | 2 | | 37 | 9 | | 38 | 7 | | 39 | 2 | | 40 | 7 | | 41 | 5 | | 42 | 8 | | 43 | 1 | | 44 | 10 | | 45 | 10 | | 46 | 11 | | 47 | 15 | | 48 | 15 | | 49 | 1 |
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| 42.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.29777777777777775 | | totalSentences | 225 | | uniqueOpeners | 67 | |
| 84.60% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 197 | | matches | | 0 | "Only the flowers swaying gently," | | 1 | "Instead she had found this" | | 2 | "Too many to count." | | 3 | "Instead it seemed to feed" | | 4 | "Only the pendant remained, lying" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 59 | | totalSentences | 197 | | matches | | 0 | "She should never have come" | | 1 | "Their shadows stretched long across" | | 2 | "She had followed the pendant's" | | 3 | "she whispered, the word too" | | 4 | "She held it out like" | | 5 | "She rubbed it absently." | | 6 | "She had fled Cardiff to" | | 7 | "It had led her here." | | 8 | "She stepped closer." | | 9 | "She gripped the pendant tighter." | | 10 | "Its warmth seeped into her" | | 11 | "Her voice cracked on the" | | 12 | "She caught only a flicker" | | 13 | "Her mouth went dry." | | 14 | "She backed toward the standing" | | 15 | "They had stopped moving." | | 16 | "She risked a glance down." | | 17 | "She lifted her foot." | | 18 | "It grew thicker, sweeter, like" | | 19 | "She could hear them now," |
| | ratio | 0.299 | |
| 31.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 169 | | totalSentences | 197 | | matches | | 0 | "Rory's trainers sank into the" | | 1 | "The Heartstone Pendant burned against" | | 2 | "She should never have come" | | 3 | "The ancient oak standing stones" | | 4 | "Their shadows stretched long across" | | 5 | "Wildflowers brushed her shins, sweet" | | 6 | "She had followed the pendant's" | | 7 | "she whispered, the word too" | | 8 | "The pendant flared hotter." | | 9 | "Rory pulled it from beneath" | | 10 | "The deep crimson gemstone glowed" | | 11 | "The silver chain felt ice-cold" | | 12 | "She held it out like" | | 13 | "The glow brightened when she" | | 14 | "Something rustled behind her." | | 15 | "The air hung dead still." | | 16 | "The scar on her left" | | 17 | "She rubbed it absently." | | 18 | "The words tasted like a" | | 19 | "She had fled Cardiff to" |
| | ratio | 0.858 | |
| 50.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 197 | | matches | | 0 | "To the Fae Grove." | | 1 | "To whatever waited on the" |
| | ratio | 0.01 | |
| 66.05% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 93 | | technicalSentenceCount | 10 | | matches | | 0 | "The Heartstone Pendant burned against her collarbone, a steady pulse that matched the frantic beat in her throat." | | 1 | "The wildflowers to her left bent suddenly, as if something large had passed through them." | | 2 | "She could hear them now, a faint papery whisper that might have been wind through stems or something mimicking speech." | | 3 | "In that new illumination she saw them: footprints in the soft earth that circled the clearing." | | 4 | "Tall and willowy, it moved with liquid grace that made Rory's skin crawl." | | 5 | "The chimes returned, louder, accompanied by a wet clicking that reminded her of mandibles." | | 6 | "Thorns that hadn't existed moments ago bit through her jeans." | | 7 | "The scar had opened fully now, revealing the true shape within: a spiral carved in crystal that matched the patterns on the standing stones." | | 8 | "A sound built in the air, the chime multiplied a thousandfold until it became a roar that drowned out everything else." | | 9 | "The crimson stone had cracked along fault lines that spelled out words in a language that made her stomach turn." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she whispered, the word too loud" |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 11 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 1 | | effectiveRatio | 0.182 | |