| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.419 | | leniency | 0.837 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1668 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "slowly" | | 3 | "gently" |
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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) | |
| 85.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1668 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "pulse" | | 1 | "shimmered" | | 2 | "lurch" | | 3 | "throb" | | 4 | "crystal" |
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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 | 90 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 90 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 69 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1687 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1358 | | uniqueNames | 11 | | maxNameDensity | 1.33 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 3 | | Park | 2 | | Nyx | 11 | | Aurora | 18 | | Heartstone | 2 | | Eva | 10 | | London | 2 | | Hel | 1 | | May | 1 | | June | 1 | | Varga | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Aurora" | | 2 | "Heartstone" | | 3 | "Eva" | | 4 | "Varga" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Hel" | | 4 | "May" |
| | globalScore | 0.837 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.593 | | wordCount | 1687 | | matches | | 0 | "not the deep pulse it gave near a Hel portal but a faint sympathetic flutter, the way one string hums" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 113 | | matches | | 0 | "was that nothing" | | 1 | "told that every" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 31.83 | | std | 30.22 | | cv | 0.949 | | sampleLengths | | 0 | 22 | | 1 | 45 | | 2 | 62 | | 3 | 13 | | 4 | 7 | | 5 | 32 | | 6 | 53 | | 7 | 8 | | 8 | 92 | | 9 | 22 | | 10 | 41 | | 11 | 5 | | 12 | 82 | | 13 | 6 | | 14 | 6 | | 15 | 18 | | 16 | 76 | | 17 | 7 | | 18 | 17 | | 19 | 37 | | 20 | 37 | | 21 | 1 | | 22 | 40 | | 23 | 3 | | 24 | 82 | | 25 | 97 | | 26 | 52 | | 27 | 28 | | 28 | 2 | | 29 | 2 | | 30 | 2 | | 31 | 82 | | 32 | 4 | | 33 | 1 | | 34 | 75 | | 35 | 57 | | 36 | 8 | | 37 | 2 | | 38 | 3 | | 39 | 28 | | 40 | 84 | | 41 | 8 | | 42 | 23 | | 43 | 8 | | 44 | 3 | | 45 | 2 | | 46 | 33 | | 47 | 100 | | 48 | 17 | | 49 | 4 |
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| 85.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 90 | | matches | | 0 | "been locked" | | 1 | "been quarried" | | 2 | "was cropped" | | 3 | "being asked" | | 4 | "being told" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 219 | | matches | | 0 | "was standing" | | 1 | "was noticing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 4 | | flaggedSentences | 13 | | totalSentences | 113 | | ratio | 0.115 | | matches | | 0 | "\"I mentioned a walk.\" Nyx was already on the other side, or rather had never been on any side; they had thinned to a smear of black along the base of the fence and reassembled themselves in the frost-stiff grass, six feet and two inches of nothing shaped like a man." | | 1 | "\"Turn that off,\" Nyx whispered, and their voice did what it always did — arrived from a direction that had nothing to do with where they stood, like wind finding a gap under a door." | | 2 | "Above, London's orange stain lay along the horizon like the memory of a fire, but here the grass was black and silver, the bracken was black, and the oaks — she had walked past those oaks a hundred times in daylight, eating chips, hungover, ordinary — the oaks had become something older after sundown." | | 3 | "Then Nyx stopped without stopping — one moment moving, the next simply present — and said, \"There.\"" | | 4 | "\"You do have the eyes, then. I wondered. The Veil is thin here, and thinner every night this month; the solstice comes and the boundary gets tired.\" A ribbon of shadow uncoiled from their arm and gestured, almost politely, at the gap between the stones." | | 5 | "Eva went first, because Eva always went first — that was why Aurora had a flat in London and a job on a moped and a life at all." | | 6 | "That was the first thing — it stopped as cleanly as if she'd walked into a house, and her lungs filled with air that tasted green, thick with pollen and crushed stems and something sweet underneath, like bruised apples." | | 7 | "Foxgloves stood to her waist in ranks, and bluebells that should have died in May, and poppies, and things she had no name for — a low creeper with blooms like little glass bells that chimed faintly when the air moved, though there was no wind." | | 8 | "Here, in the honey-coloured light, they had edges — a jaw, the line of a shoulder, the suggestion of a high collar four hundred years out of fashion — and their eyes burned violet like the pilot lights of a boiler." | | 9 | "There was a path, or there was a place where the flowers held themselves apart, which amounted to the same thing until you looked down and noticed the path had no ruts, no mud, no scuff — and that Nyx left no prints in the soft ground either, and neither, Aurora realised with a lurch, did she." | | 10 | "Aurora began to hear other things layered under it: a stream somewhere, running with a sound like a woman humming; a high thin note that she eventually understood was many voices, very far off, singing a phrase and then singing it again, and again, and never once arriving anywhere." | | 11 | "Here, when she brushed a foxglove, the whole stem turned its bells toward her; when she stopped walking, the grass stopped whispering." | | 12 | "It stood alone, enormous, white with blossom despite the season, and beneath it the grass had worn into a smooth pale hollow, and there were things hanging from the branches — hundreds of them, on ribbons, on threads, on strands of hair." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1348 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 49 | | adverbRatio | 0.03635014836795252 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.011869436201780416 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 14.93 | | std | 14.9 | | cv | 0.998 | | sampleLengths | | 0 | 22 | | 1 | 21 | | 2 | 3 | | 3 | 21 | | 4 | 51 | | 5 | 11 | | 6 | 8 | | 7 | 5 | | 8 | 7 | | 9 | 21 | | 10 | 11 | | 11 | 35 | | 12 | 18 | | 13 | 4 | | 14 | 4 | | 15 | 12 | | 16 | 54 | | 17 | 10 | | 18 | 16 | | 19 | 5 | | 20 | 17 | | 21 | 3 | | 22 | 38 | | 23 | 2 | | 24 | 2 | | 25 | 1 | | 26 | 48 | | 27 | 6 | | 28 | 28 | | 29 | 6 | | 30 | 2 | | 31 | 4 | | 32 | 12 | | 33 | 6 | | 34 | 9 | | 35 | 45 | | 36 | 22 | | 37 | 7 | | 38 | 11 | | 39 | 6 | | 40 | 29 | | 41 | 8 | | 42 | 2 | | 43 | 35 | | 44 | 1 | | 45 | 5 | | 46 | 35 | | 47 | 3 | | 48 | 3 | | 49 | 39 |
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| 63.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.415929203539823 | | totalSentences | 113 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 74 | | matches | | 0 | "Somewhere a deer coughed, and" | | 1 | "Then Nyx stopped without stopping" | | 2 | "Then the pendant warmed against" | | 3 | "Only Eva's trainers pressed the" |
| | ratio | 0.054 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 74 | | matches | | 0 | "she hissed, hauling herself over" | | 1 | "Her boot caught." | | 2 | "They walked for twenty minutes." | | 3 | "They had the shape of" | | 4 | "It shimmered, very slightly, the" | | 5 | "She stepped between the standing" | | 6 | "She was standing in the" | | 7 | "They looked, for the first" | | 8 | "They went deeper." | | 9 | "She looked down." | | 10 | "She had drifted six paces" | | 11 | "It was not the flowers" | | 12 | "It was that nothing here" | | 13 | "It stood alone, enormous, white" | | 14 | "They turned gently in the" |
| | ratio | 0.203 | |
| 47.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 74 | | matches | | 0 | "The gates of Richmond Park" | | 1 | "she hissed, hauling herself over" | | 2 | "Her boot caught." | | 3 | "The Heartstone pendant swung out" | | 4 | "Nyx was already on the" | | 5 | "Aurora dropped, landed badly, swore" | | 6 | "Eva came over the railing" | | 7 | "Nyx whispered, and their voice" | | 8 | "Eva turned it off." | | 9 | "The park swallowed them." | | 10 | "Aurora hadn't known there could" | | 11 | "The cold came up through" | | 12 | "They walked for twenty minutes." | | 13 | "Aurora saw nothing." | | 14 | "They had the shape of" | | 15 | "It shimmered, very slightly, the" | | 16 | "Aurora made a shape with" | | 17 | "Nyx made a sound that" | | 18 | "A ribbon of shadow uncoiled" | | 19 | "Eva went first, because Eva" |
| | ratio | 0.824 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 2 | | matches | | 0 | "That was the first thing — it stopped as cleanly as if she'd walked into a house, and her lungs filled with air that tasted green, thick with pollen and crushed…" | | 1 | "Foxgloves stood to her waist in ranks, and bluebells that should have died in May, and poppies, and things she had no name for — a low creeper with blooms like …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 80.23% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 3 | | fancyTags | | 0 | "she hissed (hiss)" | | 1 | "Nyx whispered (whisper)" | | 2 | "they whispered (whisper)" |
| | dialogueSentences | 43 | | tagDensity | 0.279 | | leniency | 0.558 | | rawRatio | 0.25 | | effectiveRatio | 0.14 | |