| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.625 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1065 | | totalAiIsmAdverbs | 2 | | 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) | |
| 48.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1065 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulsed" | | 1 | "footsteps" | | 2 | "resolving" | | 3 | "perfect" | | 4 | "warmth" | | 5 | "weight" | | 6 | "echo" | | 7 | "echoed" | | 8 | "traced" | | 9 | "aligned" | | 10 | "pulse" |
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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 | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 94 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1079 | | ratio | 0 | | matches | (empty) | |
| 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 | 17 | | wordCount | 1029 | | uniqueNames | 9 | | maxNameDensity | 0.49 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | Rory | 5 | | October | 1 | | Heartstone | 2 | | Yu-Fei | 1 | | Ladbroke | 1 | | Grove | 3 | | Hel | 2 | | Eva | 1 | | Park | 1 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Yu-Fei" | | 3 | "Hel" | | 4 | "Eva" |
| | places | | 0 | "Ladbroke" | | 1 | "Grove" | | 2 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1079 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 98 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 33.72 | | std | 28.4 | | cv | 0.842 | | sampleLengths | | 0 | 11 | | 1 | 66 | | 2 | 21 | | 3 | 75 | | 4 | 3 | | 5 | 64 | | 6 | 9 | | 7 | 74 | | 8 | 13 | | 9 | 1 | | 10 | 94 | | 11 | 43 | | 12 | 13 | | 13 | 9 | | 14 | 39 | | 15 | 41 | | 16 | 10 | | 17 | 82 | | 18 | 8 | | 19 | 42 | | 20 | 5 | | 21 | 58 | | 22 | 7 | | 23 | 66 | | 24 | 5 | | 25 | 7 | | 26 | 79 | | 27 | 31 | | 28 | 5 | | 29 | 51 | | 30 | 34 | | 31 | 13 |
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| 94.06% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 94 | | matches | | 0 | "been muted" | | 1 | "being drained" | | 2 | "been covered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 160 | | matches | | 0 | "weren't reflecting" | | 1 | "were keeping" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 2 | | flaggedSentences | 12 | | totalSentences | 98 | | ratio | 0.122 | | matches | | 0 | "Only here, in the Grove, did it wake up — which meant Hel's reach stretched into this pocket between worlds, and that meant answers." | | 1 | "They weren't reflecting anything; there was nothing to reflect." | | 2 | "She'd read that much before coming — deer moving through the bracken, owls, the M3 a low constant murmur to the east." | | 3 | "Seven oaks arranged in a rough circle, each one thicker than a car, their faces gnarled into shapes that her eyes kept resolving into features — a brow here, a downturned mouth there — before sliding back into ordinary bark." | | 4 | "The sound had been small — dry leaves, a single shifting of weight — but in the muffled air it landed like a gunshot." | | 5 | "It had to be a deer; the park was full of them, and they wandered at night." | | 6 | "She spun, torch swinging, and caught it — she was almost certain she caught it — a shape at the edge of her vision, low to the ground, unfolding backward out of sight the way a reflection moves when you turn your head too fast." | | 7 | "It should have echoed — stone and wood everywhere, a natural amphitheatre — but the sound dropped dead a metre from her lips, as if the clearing ate it." | | 8 | "She retreated toward the gap where she'd come in, walking backward, keeping the torch ahead of her, and the pendant's heat traced a line across her chest — strongest toward the north stone, but also, now, faintly, toward the centre of the clearing." | | 9 | "Not wilt — turn." | | 10 | "The bark was warm against her spine, warmer than before, and it flexed — a slow, almost imperceptible swell, like a chest drawing breath." | | 11 | "And with it, faint, almost gentle, a voice with no shape to it — the exact pitch and cadence of her own." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 417 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.03597122302158273 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.014388489208633094 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 11.01 | | std | 10.62 | | cv | 0.965 | | sampleLengths | | 0 | 11 | | 1 | 9 | | 2 | 4 | | 3 | 24 | | 4 | 29 | | 5 | 3 | | 6 | 8 | | 7 | 10 | | 8 | 16 | | 9 | 7 | | 10 | 9 | | 11 | 13 | | 12 | 24 | | 13 | 3 | | 14 | 3 | | 15 | 3 | | 16 | 2 | | 17 | 18 | | 18 | 5 | | 19 | 1 | | 20 | 7 | | 21 | 9 | | 22 | 22 | | 23 | 9 | | 24 | 6 | | 25 | 22 | | 26 | 31 | | 27 | 9 | | 28 | 5 | | 29 | 1 | | 30 | 5 | | 31 | 3 | | 32 | 4 | | 33 | 1 | | 34 | 1 | | 35 | 7 | | 36 | 40 | | 37 | 16 | | 38 | 3 | | 39 | 1 | | 40 | 27 | | 41 | 8 | | 42 | 35 | | 43 | 6 | | 44 | 7 | | 45 | 9 | | 46 | 2 | | 47 | 24 | | 48 | 5 | | 49 | 3 |
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| 61.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.422680412371134 | | totalSentences | 97 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 77 | | matches | | 0 | "Only here, in the Grove," | | 1 | "Maybe Eva's answers." | | 2 | "Maybe her own." |
| | ratio | 0.039 | |
| 95.32% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 77 | | matches | | 0 | "She stopped, hand pressed flat" | | 1 | "Her voice fell flat, swallowed" | | 2 | "It had done nothing for" | | 3 | "They weren't reflecting anything; there" | | 4 | "She stood and wiped her" | | 5 | "She'd read that much before" | | 6 | "Her own footsteps made no" | | 7 | "She tested it twice, stamping." | | 8 | "Her phone read 11:47 p.m." | | 9 | "She checked it now." | | 10 | "She walked the clearing's edge," | | 11 | "Her phone's torch threw a" | | 12 | "She turned slowly, torch up." | | 13 | "It had to be a" | | 14 | "She resumed walking the perimeter," | | 15 | "She spun, torch swinging, and" | | 16 | "Her voice cracked on the" | | 17 | "It should have echoed —" | | 18 | "Her phone still read 11:47." | | 19 | "She stopped checking." |
| | ratio | 0.312 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 77 | | matches | | 0 | "The pendant pulsed the moment" | | 1 | "She stopped, hand pressed flat" | | 2 | "The bark was warm." | | 3 | "Her voice fell flat, swallowed" | | 4 | "The Heartstone sat against her" | | 5 | "It had done nothing for" | | 6 | "The wildflowers glowed." | | 7 | "Rory crouched and touched one." | | 8 | "The light didn't dim under" | | 9 | "They weren't reflecting anything; there" | | 10 | "The light came from inside" | | 11 | "She stood and wiped her" | | 12 | "Richmond Park wasn't silent at" | | 13 | "She'd read that much before" | | 14 | "Her own footsteps made no" | | 15 | "She tested it twice, stamping." | | 16 | "Her phone read 11:47 p.m." | | 17 | "She checked it now." | | 18 | "She walked the clearing's edge," | | 19 | "The ring of flowers followed" |
| | ratio | 0.662 | |
| 64.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 77 | | matches | | | ratio | 0.013 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "But inside the Grove the world had been muted, scrubbed clean, as if someone had lifted the park out of existence and set down a replica with the sound turned o…" | | 1 | "It should have echoed — stone and wood everywhere, a natural amphitheatre — but the sound dropped dead a metre from her lips, as if the clearing ate it." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.333 | | effectiveRatio | 0.25 | |