| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "they whispered back [back]" |
| | dialogueSentences | 31 | | tagDensity | 0.387 | | leniency | 0.774 | | rawRatio | 0.083 | | effectiveRatio | 0.065 | |
| 87.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1200 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "suddenly" | | 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) | |
| 87.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1200 | | totalAiIsms | 3 | | found | | | highlights | | |
| 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 | 81 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 67 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 3 | | totalWords | 1215 | | ratio | 0.002 | | matches | | 0 | "Certain. Listen." | | 1 | "now." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1070 | | uniqueNames | 14 | | maxNameDensity | 1.12 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | Richmond | 2 | | Park | 2 | | Nyx | 5 | | Eva | 5 | | Heartstone | 2 | | Hel | 1 | | November-bare | 1 | | London | 1 | | Wildflowers | 1 | | Bees | 1 | | Fae | 1 | | Varga | 1 | | Isolde | 2 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Eva" | | 3 | "Wildflowers" | | 4 | "Varga" | | 5 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.939 | | windowScore | 0.833 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed impossible to miss — tall, listing slightly inward, the bark so black it drank the late afternoon light" | | 1 | "not quite the opening line of a song she'd heard once as a child and never again" | | 2 | "appeared — light, quick shaped like a deer's hoof — pacing them from beyond the hedgerow, matching three steps to every two of Rory's" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.823 | | wordCount | 1215 | | matches | | 0 | "not with fear, she realized, but with a grief she couldn't locate, as though something in the" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 30.38 | | std | 34.62 | | cv | 1.14 | | sampleLengths | | 0 | 68 | | 1 | 8 | | 2 | 29 | | 3 | 58 | | 4 | 13 | | 5 | 4 | | 6 | 5 | | 7 | 75 | | 8 | 15 | | 9 | 4 | | 10 | 98 | | 11 | 12 | | 12 | 11 | | 13 | 74 | | 14 | 47 | | 15 | 7 | | 16 | 7 | | 17 | 2 | | 18 | 110 | | 19 | 6 | | 20 | 6 | | 21 | 21 | | 22 | 83 | | 23 | 8 | | 24 | 11 | | 25 | 3 | | 26 | 108 | | 27 | 5 | | 28 | 3 | | 29 | 2 | | 30 | 2 | | 31 | 36 | | 32 | 59 | | 33 | 3 | | 34 | 113 | | 35 | 17 | | 36 | 51 | | 37 | 12 | | 38 | 14 | | 39 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 178 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 100 | | ratio | 0.1 | | matches | | 0 | "Now they seemed impossible to miss — tall, listing slightly inward, the bark so black it drank the late afternoon light." | | 1 | "Beyond the stones, the woodland hush had a different grain to it — denser, older, as though the air itself had been steeping." | | 2 | "The sounds of the park behind her — a distant dog, a cyclist's bell, the faint hiss of the A307 — all of it receded, muffled, as if she'd sunk her head underwater." | | 3 | "The bark was colder than it should have been, smooth where wind and rain had polished it, rough where something else had scored it — patterns too deliberate to be natural, spirals tangling into knotwork, a language that made her eyes water when she tried to read it." | | 4 | "The next breath — and it was the same breath, Rory realized, she'd never finished exhaling — the trees blinked into summer." | | 5 | "The path — if it was a path — revealed itself only as they committed to it, a trail of flattened grass that curved between hawthorns heavy with white blossom." | | 6 | "What was not usual was the third set of marks that sometimes appeared — light, quick, shaped like a deer's hoof — pacing them from beyond the hedgerow, matching three steps to every two of Rory's." | | 7 | "They came to a stream that had no business being there — Richmond Park's nearest watercourse was a half-mile east — and it ran clear over a bed of pale, almost luminous pebbles." | | 8 | "And hanging from those branches, turning slowly in an air that did not move — lanterns." | | 9 | "Her pulse had gone quick and strange, and her eyes stung — not with fear, she realized, but with a grief she couldn't locate, as though something in the lanterns had recognized her and been sorry for her." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 538 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.03717472118959108 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.007434944237918215 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 12.15 | | std | 11.9 | | cv | 0.979 | | sampleLengths | | 0 | 29 | | 1 | 18 | | 2 | 21 | | 3 | 8 | | 4 | 7 | | 5 | 20 | | 6 | 1 | | 7 | 1 | | 8 | 2 | | 9 | 23 | | 10 | 33 | | 11 | 9 | | 12 | 4 | | 13 | 4 | | 14 | 5 | | 15 | 9 | | 16 | 48 | | 17 | 13 | | 18 | 3 | | 19 | 2 | | 20 | 4 | | 21 | 5 | | 22 | 3 | | 23 | 3 | | 24 | 4 | | 25 | 10 | | 26 | 16 | | 27 | 22 | | 28 | 11 | | 29 | 20 | | 30 | 19 | | 31 | 9 | | 32 | 3 | | 33 | 11 | | 34 | 7 | | 35 | 67 | | 36 | 22 | | 37 | 8 | | 38 | 6 | | 39 | 11 | | 40 | 7 | | 41 | 7 | | 42 | 2 | | 43 | 2 | | 44 | 30 | | 45 | 5 | | 46 | 10 | | 47 | 7 | | 48 | 8 | | 49 | 36 |
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| 80.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5 | | totalSentences | 100 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 69 | | matches | | 0 | "She'd walked past this part" | | 1 | "It was a stupid ritual." | | 2 | "She counted anyway." | | 3 | "They stepped through together." | | 4 | "Their edges were still smoke-soft," | | 5 | "she said, low" | | 6 | "They came to a stream" | | 7 | "She did not put her" | | 8 | "She looked up." | | 9 | "They gave off no heat." | | 10 | "they whispered back" | | 11 | "Her pulse had gone quick" | | 12 | "She touched the Heartstone at" | | 13 | "It sat quiet, warm as" | | 14 | "It opened the way a" | | 15 | "She had not been there" | | 16 | "She only tilted her head," | | 17 | "she said, and her voice" | | 18 | "Her gaze slid to Eva," |
| | ratio | 0.275 | |
| 46.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 69 | | matches | | 0 | "The standing stones rose out" | | 1 | "She'd walked past this part" | | 2 | "Nyx did not answer in" | | 3 | "The whisper came sidelong, as" | | 4 | "The sounds of the park" | | 5 | "Rory set her palm against" | | 6 | "The bark was colder than" | | 7 | "The Heartstone at her throat" | | 8 | "It was a stupid ritual." | | 9 | "She counted anyway." | | 10 | "They stepped through together." | | 11 | "The world did not so" | | 12 | "The next breath — and" | | 13 | "Leaves thickened overhead in a" | | 14 | "Sunlight came down in a" | | 15 | "The smell hit her next:" | | 16 | "Eva made a small sound," | | 17 | "Rory said, because anything more" | | 18 | "Wildflowers grew where there had" | | 19 | "Foxglove and cornflower and long" |
| | ratio | 0.826 | |
| 72.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 69 | | matches | | 0 | "Now they seemed impossible to" |
| | ratio | 0.014 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 9 | | matches | | 0 | "Beyond the stones, the woodland hush had a different grain to it — denser, older, as though the air itself had been steeping." | | 1 | "The sounds of the park behind her — a distant dog, a cyclist's bell, the faint hiss of the A307 — all of it receded, muffled, as if she'd sunk her head underwat…" | | 2 | "The bark was colder than it should have been, smooth where wind and rain had polished it, rough where something else had scored it — patterns too deliberate to …" | | 3 | "Foxglove and cornflower and long white stars she didn't know the name of, all in bloom at once, none of them arguing with the season, because the season here wa…" | | 4 | "The path — if it was a path — revealed itself only as they committed to it, a trail of flattened grass that curved between hawthorns heavy with white blossom." | | 5 | "What was not usual was the third set of marks that sometimes appeared — light, quick, shaped like a deer's hoof — pacing them from beyond the hedgerow, matching…" | | 6 | "They came to a stream that had no business being there — Richmond Park's nearest watercourse was a half-mile east — and it ran clear over a bed of pale, almost …" | | 7 | "Where there had been oak and ash, there were now trees she had no precedent for: pale trunks that branched into fractal tangles, each twig bearing a single leaf…" | | 8 | "Her pulse had gone quick and strange, and her eyes stung — not with fear, she realized, but with a grief she couldn't locate, as though something in the lantern…" |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, low" | | 1 | "she said, and her voice was like water found in a dry country" |
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| 85.48% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "they whispered (whisper)" | | 1 | "they whispered back (whisper)" |
| | dialogueSentences | 31 | | tagDensity | 0.323 | | leniency | 0.645 | | rawRatio | 0.2 | | effectiveRatio | 0.129 | |