| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "Nyx's hand closed around [around]" | | 1 | "the Seer agreed pleasantly [pleasantly]" |
| | dialogueSentences | 22 | | tagDensity | 0.409 | | leniency | 0.818 | | rawRatio | 0.222 | | effectiveRatio | 0.182 | |
| 81.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1082 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "really" | | 2 | "slowly" |
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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) | |
| 67.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1082 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "resolved" | | 1 | "footfall" | | 2 | "warmth" | | 3 | "trembled" | | 4 | "echo" | | 5 | "could feel" | | 6 | "lurch" |
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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 | 66 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 66 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1095 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 973 | | uniqueNames | 13 | | maxNameDensity | 0.72 | | worstName | "Nyx" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Nyx" | | discoveredNames | | Aurora | 5 | | Park | 1 | | Sunday-afternoon | 1 | | October | 1 | | London | 1 | | February | 2 | | Grove | 2 | | Nyx | 7 | | Heartstone | 1 | | Hel | 1 | | Isolde | 1 | | Varga | 1 | | Seer | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Sunday-afternoon" | | 2 | "Nyx" | | 3 | "Seer" |
| | places | | 0 | "Park" | | 1 | "October" | | 2 | "London" | | 3 | "Grove" | | 4 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 2 | | matches | | 0 | "as though listening" | | 1 | "quite where it ought to be" |
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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 | 1095 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 35.32 | | std | 32.42 | | cv | 0.918 | | sampleLengths | | 0 | 77 | | 1 | 70 | | 2 | 29 | | 3 | 21 | | 4 | 51 | | 5 | 3 | | 6 | 76 | | 7 | 5 | | 8 | 110 | | 9 | 65 | | 10 | 15 | | 11 | 5 | | 12 | 1 | | 13 | 65 | | 14 | 8 | | 15 | 16 | | 16 | 106 | | 17 | 82 | | 18 | 4 | | 19 | 43 | | 20 | 19 | | 21 | 4 | | 22 | 13 | | 23 | 37 | | 24 | 66 | | 25 | 54 | | 26 | 19 | | 27 | 8 | | 28 | 7 | | 29 | 7 | | 30 | 9 |
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| 99.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 66 | | matches | | |
| 71.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 156 | | matches | | 0 | "was already closing" | | 1 | "wasn't watching" | | 2 | "was waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 78 | | ratio | 0.115 | | matches | | 0 | "The standing stones rose out of the bracken like the teeth of some long-buried animal — five crooked oaks petrified into pale grey rock, each one taller than Aurora, each one humming at a frequency she felt in her molars rather than her ears." | | 1 | "Not a different view — a different *sky*." | | 2 | "She hadn't realised how cold she'd been until it was gone — the kind of dank February cold that lives in your marrow — and in its place came a soft, honey-thick warmth that smelled of cut grass and something sweeter beneath it, like crushed apple." | | 3 | "Bluebells in thick drifts that by any reasonable calendar shouldn't exist for another three months, threaded through with cowslip and vetch and poppies and a dozen things she didn't have names for — tiny silver-petalled stars that trembled without wind, trumpets of pale green that leaned toward her when she passed, as though listening." | | 4 | "They paused at the stones — she saw their shoulders stiffen, the faint glow of their eyes dim and brighten — and then they stepped forward, and for the first time since she'd known them she saw their shadow-self cast a shadow of its own." | | 5 | "The meadow gave under Aurora's boots with a spring that felt wrong — too forgiving, as though the earth itself wanted her to stay." | | 6 | "Wherever the edges of this place leaned — and she could feel it leaning, the way a room leans when someone you haven't seen yet is standing behind you — it wasn't leaning toward Hel." | | 7 | "Not in the wind — there was no wind." | | 8 | "The trees opened again, more slowly this time, and the light changed — went thicker, more amber, like sunset pouring through honey — and Aurora realised with a small internal lurch that she had no idea how long they'd been walking." |
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| 79.83% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 973 | | adjectiveStacks | 2 | | stackExamples | | 0 | "soft, honey-thick warmth" | | 1 | "tiny silver-petalled stars" |
| | adverbCount | 48 | | adverbRatio | 0.04933196300102775 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010277492291880781 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 14.04 | | std | 11.72 | | cv | 0.835 | | sampleLengths | | 0 | 44 | | 1 | 13 | | 2 | 20 | | 3 | 5 | | 4 | 10 | | 5 | 24 | | 6 | 8 | | 7 | 23 | | 8 | 22 | | 9 | 7 | | 10 | 21 | | 11 | 9 | | 12 | 26 | | 13 | 7 | | 14 | 9 | | 15 | 3 | | 16 | 13 | | 17 | 46 | | 18 | 8 | | 19 | 9 | | 20 | 5 | | 21 | 18 | | 22 | 7 | | 23 | 54 | | 24 | 31 | | 25 | 5 | | 26 | 45 | | 27 | 6 | | 28 | 9 | | 29 | 3 | | 30 | 12 | | 31 | 5 | | 32 | 1 | | 33 | 2 | | 34 | 24 | | 35 | 20 | | 36 | 8 | | 37 | 11 | | 38 | 8 | | 39 | 6 | | 40 | 10 | | 41 | 29 | | 42 | 3 | | 43 | 22 | | 44 | 13 | | 45 | 4 | | 46 | 35 | | 47 | 14 | | 48 | 31 | | 49 | 13 |
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| 79.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5 | | totalSentences | 78 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 59 | | matches | | 0 | "Then it repeated again, and" | | 1 | "Somewhere deeper in the wood," |
| | ratio | 0.034 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 59 | | matches | | 0 | "She stopped at the threshold" | | 1 | "Her voice came out flatter" | | 2 | "They inclined their head toward" | | 3 | "She stepped through." | | 4 | "She hadn't realised how cold" | | 5 | "She breathed in and felt" | | 6 | "She breathed out and tasted" | | 7 | "she said, very quietly" | | 8 | "They paused at the stones" | | 9 | "It made them look, in" | | 10 | "It stayed quiet now." | | 11 | "They crossed the brook on" | | 12 | "Their skin was cool, dry," | | 13 | "She obeyed, pressing her sleeve" | | 14 | "She wasn't sure whether to" | | 15 | "They went on." | | 16 | "Her eyes, when they lifted," |
| | ratio | 0.288 | |
| 70.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 59 | | matches | | 0 | "The standing stones rose out" | | 1 | "She stopped at the threshold" | | 2 | "The bark-that-was-not-bark felt warm, almost" | | 3 | "Her voice came out flatter" | | 4 | "Richmond Park stretched behind her" | | 5 | "Pollen-gold, the colour of beech" | | 6 | "Nyx's voice came from the" | | 7 | "The shadow peeled itself up" | | 8 | "Nyx resolved into their tall" | | 9 | "They inclined their head toward" | | 10 | "She stepped through." | | 11 | "The cold went out of" | | 12 | "She hadn't realised how cold" | | 13 | "She breathed in and felt" | | 14 | "She breathed out and tasted" | | 15 | "she said, very quietly" | | 16 | "The Grove spread before them" | | 17 | "Every inch of the ground" | | 18 | "Bluebells in thick drifts that" | | 19 | "A brook she hadn't seen" |
| | ratio | 0.78 | |
| 84.75% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 59 | | matches | | 0 | "Wherever the edges of this" |
| | ratio | 0.017 | |
| 27.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 5 | | matches | | 0 | "The bark-that-was-not-bark felt warm, almost skin-warm, and she pulled her palm away before she could think about that too long." | | 1 | "She hadn't realised how cold she'd been until it was gone — the kind of dank February cold that lives in your marrow — and in its place came a soft, honey-thick…" | | 2 | "Bluebells in thick drifts that by any reasonable calendar shouldn't exist for another three months, threaded through with cowslip and vetch and poppies and a do…" | | 3 | "The meadow gave under Aurora's boots with a spring that felt wrong — too forgiving, as though the earth itself wanted her to stay." | | 4 | "In the centre of the second clearing a woman was waiting for them, seated on a fallen oak as though she had been sitting there a long time, or had only just app…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "they murmured (murmur)" | | 1 | "the Seer agreed pleasantly (agree)" |
| | dialogueSentences | 22 | | tagDensity | 0.318 | | leniency | 0.636 | | rawRatio | 0.286 | | effectiveRatio | 0.182 | |