| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1869 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 38.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1869 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "loomed" | | 3 | "silence" | | 4 | "chill" | | 5 | "shimmered" | | 6 | "pulse" | | 7 | "throb" | | 8 | "footfall" | | 9 | "echo" | | 10 | "scanned" | | 11 | "echoed" | | 12 | "resolved" | | 13 | "race" | | 14 | "furrowed" | | 15 | "gloom" | | 16 | "unwavering" | | 17 | "could feel" |
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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 | 151 | | matches | (empty) | |
| 95.55% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 151 | | filterMatches | | | 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 7 | | totalWords | 1862 | | ratio | 0.004 | | matches | | 0 | "The standing stones know your name." | | 1 | "Laila." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1835 | | uniqueNames | 15 | | maxNameDensity | 0.71 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Grove" | | discoveredNames | | Aurora | 13 | | Carter | 1 | | Richmond | 3 | | Park | 3 | | London | 3 | | Tesco | 1 | | Eva | 3 | | November | 1 | | July | 1 | | Tuesday | 1 | | Evan | 1 | | Cardiff | 1 | | Bay | 1 | | Grove | 4 | | Fear | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Eva" | | 3 | "November" | | 4 | "Evan" | | 5 | "Fear" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "July" | | 4 | "Cardiff" | | 5 | "Bay" | | 6 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 35.32% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 109 | | glossingSentenceCount | 5 | | matches | | 0 | "felt like an accident, and a heartstone" | | 1 | "light that seemed to come from nowhere and everywhere at once" | | 2 | "crunch that seemed to echo a beat too long" | | 3 | "not quite fabric, a shifting fall of shadow and pale light that moved like water and hung like smoke" | | 4 | "something between, something hungry" |
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| 38.88% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.611 | | wordCount | 1862 | | matches | | 0 | "not a gift but a warning system" | | 1 | "not a laugh and not a word but something between, something hungry" | | 2 | "not a word but something between, something hungry" |
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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 | 53 | | mean | 35.13 | | std | 27.31 | | cv | 0.777 | | sampleLengths | | 0 | 77 | | 1 | 9 | | 2 | 58 | | 3 | 6 | | 4 | 72 | | 5 | 24 | | 6 | 59 | | 7 | 81 | | 8 | 6 | | 9 | 64 | | 10 | 3 | | 11 | 48 | | 12 | 27 | | 13 | 14 | | 14 | 60 | | 15 | 2 | | 16 | 35 | | 17 | 6 | | 18 | 9 | | 19 | 79 | | 20 | 1 | | 21 | 62 | | 22 | 65 | | 23 | 7 | | 24 | 57 | | 25 | 35 | | 26 | 7 | | 27 | 55 | | 28 | 55 | | 29 | 10 | | 30 | 44 | | 31 | 11 | | 32 | 67 | | 33 | 3 | | 34 | 55 | | 35 | 14 | | 36 | 1 | | 37 | 12 | | 38 | 2 | | 39 | 72 | | 40 | 35 | | 41 | 15 | | 42 | 12 | | 43 | 79 | | 44 | 8 | | 45 | 59 | | 46 | 61 | | 47 | 51 | | 48 | 46 | | 49 | 3 |
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| 98.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 151 | | matches | | 0 | "were gone" | | 1 | "been called" | | 2 | "been lured" |
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| 63.01% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 292 | | matches | | 0 | "was being" | | 1 | "were listening" | | 2 | "was coming" | | 3 | "was pulsing" | | 4 | "were calling" | | 5 | "was learning" |
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| 68.16% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 153 | | ratio | 0.026 | | matches | | 0 | "The rest of her—the animal part that knew when it was being watched—screamed from a locked room somewhere in her hindbrain." | | 1 | "She spun, hand flying to the spot, expecting—what?" | | 2 | "The pendant that had been warm all day, as though her benefactor—whoever they were—had40 had known this was coming and the gift was not a gift but a warning system." | | 3 | "Not blind, not panicked—she was cool-headed, even in flight—but fast, faster than she had run since childhood, when she and Eva would race along Cardiff Bay and she would always, always win." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 65 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.03076923076923077 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 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 | 12.17 | | std | 9.96 | | cv | 0.818 | | sampleLengths | | 0 | 31 | | 1 | 14 | | 2 | 32 | | 3 | 9 | | 4 | 11 | | 5 | 17 | | 6 | 18 | | 7 | 12 | | 8 | 6 | | 9 | 6 | | 10 | 21 | | 11 | 45 | | 12 | 12 | | 13 | 12 | | 14 | 10 | | 15 | 19 | | 16 | 22 | | 17 | 6 | | 18 | 2 | | 19 | 11 | | 20 | 24 | | 21 | 37 | | 22 | 9 | | 23 | 6 | | 24 | 8 | | 25 | 19 | | 26 | 14 | | 27 | 23 | | 28 | 3 | | 29 | 9 | | 30 | 25 | | 31 | 14 | | 32 | 23 | | 33 | 4 | | 34 | 2 | | 35 | 2 | | 36 | 10 | | 37 | 3 | | 38 | 21 | | 39 | 11 | | 40 | 25 | | 41 | 2 | | 42 | 6 | | 43 | 18 | | 44 | 6 | | 45 | 1 | | 46 | 1 | | 47 | 1 | | 48 | 2 | | 49 | 6 |
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| 33.66% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 25 | | diversityRatio | 0.29411764705882354 | | totalSentences | 153 | | uniqueOpeners | 45 | |
| 98.77% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 135 | | matches | | 0 | "Instead she killed the engine" | | 1 | "Just the empty clearing, the" | | 2 | "Then again, to her right." | | 3 | "Then a third time, from" |
| | ratio | 0.03 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 135 | | matches | | 0 | "She should have turned the" | | 1 | "She had unfolded it standing" | | 2 | "She slipped through the pedestrian" | | 3 | "It had been warm all" | | 4 | "She had found them three" | | 5 | "She pressed her palm flat" | | 6 | "she muttered, and the sound" | | 7 | "She stepped forward." | | 8 | "She scanned the shadows, counting" | | 9 | "She turned back to the" | | 10 | "She would have sworn it" | | 11 | "Her hair was long, darker" | | 12 | "It thickened, pressing against Aurora's" | | 13 | "She spun, hand flying to" | | 14 | "Her pulse hammered in her" | | 15 | "she said, and her voice" | | 16 | "They held the sound, turned" | | 17 | "It was a mimicry, the" | | 18 | "It came from the treeline." | | 19 | "She had not been called" |
| | ratio | 0.289 | |
| 52.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 135 | | matches | | 0 | "The last delivery of the" | | 1 | "Yu-Fei had pressed an extra" | | 2 | "She should have turned the" | | 3 | "The note had been I" | | 4 | "She had unfolded it standing" | | 5 | "The paper held a single" | | 6 | "*The standing stones know your" | | 7 | "Anyone else would have binned" | | 8 | "Anyone else would have chalked" | | 9 | "The gate loomed ahead, black" | | 10 | "She slipped through the pedestrian" | | 11 | "Richmond Park at dusk had" | | 12 | "The deer had retreated to" | | 13 | "Aurora walked with her hands" | | 14 | "It had been warm all" | | 15 | "The standing stones were07 were" | | 16 | "She had found them three" | | 17 | "A shortcut through the park," | | 18 | "Wildflowers had bloomed in riotous" | | 19 | "Tonight the flowers were21 were" |
| | ratio | 0.815 | |
| 37.04% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 135 | | matches | | | ratio | 0.007 | |
| 32.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 65 | | technicalSentenceCount | 10 | | matches | | 0 | "But Aurora had a scar on her wrist from a childhood accident that had never quite felt like an accident, and a heartstone pendant that pulsed warmth against her…" | | 1 | "The clearing lay ahead, bathed in a silver light that seemed to come from nowhere and everywhere at once." | | 2 | "This was a throb, deep and insistent, as though something inside the crimson gem had woken and pressed itself against the cage of its setting." | | 3 | "The grass beneath her trainers was brittle, frost-crisped, each footfall a faint crunch that seemed to echo a beat too long." | | 4 | "The second crunch came a half-second after her own, soft but distinct, as though someone had matched her stride and then stopped when she stopped." | | 5 | "Yet there she stood,12 stood, facing away, draped in something that was not quite fabric, a shifting fall of shadow and pale light that moved like water and hun…" | | 6 | "The rest of her—the animal part that knew when it was being watched—screamed from a locked room somewhere in her hindbrain." | | 7 | "The shimmer between the stones intensified, and the wildflowers that had vanished three weeks ago began to push up through the frost in slow, silent unfurlings." | | 8 | "Behind her, the clearing made a sound that was not a laugh and not a word but something between, something hungry." | | 9 | "In its place were wildflowers, the same impossible blooms that had sprouted in the clearing, pushing up through the leaf litter with a persistence that bordered…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |