| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.304 | | leniency | 0.609 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 81.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1360 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "perfectly" | | 1 | "gently" | | 2 | "utterly" | | 3 | "very" | | 4 | "quickly" |
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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) | |
| 33.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1360 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | word | "down her spine" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "looming" | | 1 | "down her spine" | | 2 | "throbbed" | | 3 | "warmth" | | 4 | "whisper" | | 5 | "crystalline" | | 6 | "variable" | | 7 | "weight" | | 8 | "resolved" | | 9 | "glint" | | 10 | "fleeting" |
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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 | 139 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 139 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 153 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 19 | | markdownWords | 137 | | totalWords | 1358 | | ratio | 0.101 | | matches | | 0 | "The Grove. Midnight." | | 1 | "Okay. Think." | | 2 | "Time moves differently here." | | 3 | "Fae-touched places, Rory. They play tricks with the clock." | | 4 | "“…lost…”" | | 5 | "Out-of-box thinking, Rory. That’s your thing." | | 6 | "“…pretty chain…”, “…cold blood…”, “…stay a while…”" | | 7 | "“Note?”" | | 8 | "“We find notes are so… mortal. So fleeting. We prefer invitations written in action. In presence.”" | | 9 | "“A transaction.”" | | 10 | "“How quaint. And what do you carry, little transaction? What burns so brightly?”" | | 11 | "“Everything in this grove concerns me.”" | | 12 | "“You wear a key. And you bring it to our door. Was that your transaction? To open the way?”" | | 13 | "“To the Hel.”" | | 14 | "“The stone you clutch seeks the cracks between worlds. It sings to them. And you have brought its song into my home.”" | | 15 | "pulses faintly with warmth when near a Hel portal" | | 16 | "“Ignorance,”" | | 17 | "“Is such a fragile currency. It spends so very quickly.”" | | 18 | "“An… interesting negotiation.”" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.32% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1184 | | uniqueNames | 16 | | maxNameDensity | 1.01 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 2 | | Pendant | 1 | | London | 1 | | November | 1 | | Yu-Fei | 1 | | Richmond | 1 | | Park | 1 | | Grove | 1 | | Pembroke | 1 | | Lodge | 1 | | Eva | 1 | | Rory | 12 | | Cardiff | 2 | | Fear | 1 | | Hel | 1 | | Cardiff-born | 1 |
| | persons | | 0 | "Pendant" | | 1 | "Yu-Fei" | | 2 | "Grove" | | 3 | "Eva" | | 4 | "Rory" | | 5 | "Fear" |
| | places | | 0 | "London" | | 1 | "November" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "Pembroke" | | 5 | "Cardiff" | | 6 | "Hel" | | 7 | "Cardiff-born" |
| | globalScore | 0.993 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 1 | | matches | | 0 | "something like amusement" |
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| 52.72% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.473 | | wordCount | 1358 | | matches | | 0 | "not a face, but a smooth, dark hollow" | | 1 | "Not a hand, but a gathering of darkness, a tendril of concentrated night" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 153 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 28.89 | | std | 19.17 | | cv | 0.663 | | sampleLengths | | 0 | 7 | | 1 | 67 | | 2 | 65 | | 3 | 6 | | 4 | 38 | | 5 | 1 | | 6 | 42 | | 7 | 47 | | 8 | 36 | | 9 | 9 | | 10 | 45 | | 11 | 13 | | 12 | 72 | | 13 | 4 | | 14 | 29 | | 15 | 47 | | 16 | 21 | | 17 | 12 | | 18 | 15 | | 19 | 42 | | 20 | 51 | | 21 | 68 | | 22 | 3 | | 23 | 48 | | 24 | 19 | | 25 | 51 | | 26 | 21 | | 27 | 23 | | 28 | 16 | | 29 | 36 | | 30 | 6 | | 31 | 23 | | 32 | 16 | | 33 | 50 | | 34 | 34 | | 35 | 36 | | 36 | 40 | | 37 | 10 | | 38 | 42 | | 39 | 17 | | 40 | 40 | | 41 | 24 | | 42 | 16 | | 43 | 12 | | 44 | 3 | | 45 | 26 | | 46 | 9 |
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| 92.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 139 | | matches | | 0 | "was gone" | | 1 | "was stuck" | | 2 | "was made" | | 3 | "was sighed" | | 4 | "was surrounded" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 189 | | matches | | 0 | "was vibrating" | | 1 | "was turning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 153 | | ratio | 0.007 | | matches | | 0 | "The flowers at her feet—vivid bluebells and foxgloves—should have been dormant months ago." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1196 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 43 | | adverbRatio | 0.03595317725752508 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.01254180602006689 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 153 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 153 | | mean | 8.88 | | std | 6.15 | | cv | 0.693 | | sampleLengths | | 0 | 7 | | 1 | 19 | | 2 | 4 | | 3 | 20 | | 4 | 24 | | 5 | 6 | | 6 | 26 | | 7 | 2 | | 8 | 12 | | 9 | 19 | | 10 | 6 | | 11 | 8 | | 12 | 9 | | 13 | 6 | | 14 | 15 | | 15 | 1 | | 16 | 9 | | 17 | 2 | | 18 | 5 | | 19 | 1 | | 20 | 4 | | 21 | 5 | | 22 | 12 | | 23 | 4 | | 24 | 1 | | 25 | 9 | | 26 | 13 | | 27 | 13 | | 28 | 11 | | 29 | 12 | | 30 | 11 | | 31 | 13 | | 32 | 2 | | 33 | 5 | | 34 | 2 | | 35 | 3 | | 36 | 16 | | 37 | 6 | | 38 | 20 | | 39 | 8 | | 40 | 5 | | 41 | 8 | | 42 | 7 | | 43 | 7 | | 44 | 1 | | 45 | 8 | | 46 | 11 | | 47 | 12 | | 48 | 18 | | 49 | 4 |
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| 49.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.36423841059602646 | | totalSentences | 151 | | uniqueOpeners | 55 | |
| 80.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 125 | | matches | | 0 | "Just the rustle of leaves." | | 1 | "Just the deep black gaps" | | 2 | "Only trees and stones and" |
| | ratio | 0.024 | |
| 85.60% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 125 | | matches | | 0 | "She stood in the centre" | | 1 | "She hadn’t meant to come" | | 2 | "She hadn’t seen any animals" | | 3 | "She’d climbed the fence near" | | 4 | "Her voice sounded small, swallowed" | | 5 | "They swayed gently, as if" | | 6 | "She pulled it out, letting" | | 7 | "It wasn’t words." | | 8 | "It was the texture of" | | 9 | "It came from everywhere and" | | 10 | "She meant it to sound" | | 11 | "It came out a plea." | | 12 | "She spun, heart hammering against" | | 13 | "She took a step back," | | 14 | "They play tricks with the" | | 15 | "She fumbled her phone from" | | 16 | "She’d entered the clearing at" | | 17 | "She tapped the clock app." | | 18 | "She waited, counting her own" | | 19 | "She looked back at the" |
| | ratio | 0.336 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 125 | | matches | | 0 | "The stone was warm against" | | 1 | "Rory’s fingers closed around the" | | 2 | "She stood in the centre" | | 3 | "The air smelled of damp" | | 4 | "She hadn’t meant to come" | | 5 | "The delivery for Yu-Fei had" | | 6 | "Midnight.* The money was good" | | 7 | "A twig snapped to her" | | 8 | "Rory froze, her breath clouding" | | 9 | "She hadn’t seen any animals" | | 10 | "The park was closed, gates" | | 11 | "She’d climbed the fence near" | | 12 | "Her voice sounded small, swallowed" | | 13 | "The air was perfectly still." | | 14 | "The rustling came again, a" | | 15 | "The flowers at her feet—vivid" | | 16 | "They swayed gently, as if" | | 17 | "The pendant throbbed, a sudden" | | 18 | "She pulled it out, letting" | | 19 | "The inner glow had intensified," |
| | ratio | 0.8 | |
| 80.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 125 | | matches | | 0 | "Now, with the note crumpled" | | 1 | "As if the grove had" |
| | ratio | 0.016 | |
| 76.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 4 | | matches | | 0 | "The air smelled of damp earth and the cloying sweetness of year-round wildflowers, a scent that felt wrong for a London night in November." | | 1 | "The irrational part, the part that had fled Cardiff with a split lip and a single suitcase, said the offered path was the only variable in a fixed equation." | | 2 | "It unfolded, gaining height, its limbs elongating until its head brushed the lower branches." | | 3 | "The Heartstone was vibrating now, a frantic hum that travelled up the chain and into her bones." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "the figure whispered (whisper)" |
| | dialogueSentences | 23 | | tagDensity | 0.13 | | leniency | 0.261 | | rawRatio | 0.333 | | effectiveRatio | 0.087 | |