| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said aloud [aloud]" |
| | dialogueSentences | 9 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.25 | | effectiveRatio | 0.222 | |
| 77.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1104 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "perfectly" | | 1 | "softly" | | 2 | "deliberately" | | 3 | "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) | |
| 81.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1104 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "echo" | | 1 | "absolutely" | | 2 | "warmth" | | 3 | "silence" |
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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 | 1 | | narrationSentences | 93 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 93 | | filterMatches | | | 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 | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1104 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 1074 | | uniqueNames | 6 | | maxNameDensity | 0.37 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 4 | | Heartstone | 1 | | Richmond | 1 | | Park | 1 | | Wildflowers | 1 | | Rory | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Wildflowers" | | 2 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed deeper than they should, as if the wood went on much further than the park had room for" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.906 | | wordCount | 1104 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 98 | | matches | | 0 | "understood that running" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 29.84 | | std | 28.58 | | cv | 0.958 | | sampleLengths | | 0 | 11 | | 1 | 94 | | 2 | 5 | | 3 | 34 | | 4 | 3 | | 5 | 50 | | 6 | 1 | | 7 | 35 | | 8 | 83 | | 9 | 8 | | 10 | 45 | | 11 | 6 | | 12 | 42 | | 13 | 5 | | 14 | 40 | | 15 | 15 | | 16 | 3 | | 17 | 86 | | 18 | 8 | | 19 | 36 | | 20 | 8 | | 21 | 61 | | 22 | 4 | | 23 | 58 | | 24 | 57 | | 25 | 21 | | 26 | 22 | | 27 | 84 | | 28 | 6 | | 29 | 2 | | 30 | 82 | | 31 | 12 | | 32 | 4 | | 33 | 27 | | 34 | 2 | | 35 | 43 | | 36 | 1 |
| |
| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 93 | | matches | | 0 | "been told" | | 1 | "being made" | | 2 | "was supposed" |
| |
| 41.27% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 168 | | matches | | 0 | "was waiting" | | 1 | "was going" | | 2 | "was still spreading" | | 3 | "was coming" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 98 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1079 | | adjectiveStacks | 2 | | stackExamples | | 0 | "lay cold against her" | | 1 | "black against blacker shadow," |
| | adverbCount | 34 | | adverbRatio | 0.03151065801668211 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006487488415199258 | |
| 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 | 11.27 | | std | 10.82 | | cv | 0.96 | | sampleLengths | | 0 | 11 | | 1 | 14 | | 2 | 28 | | 3 | 8 | | 4 | 6 | | 5 | 7 | | 6 | 31 | | 7 | 3 | | 8 | 2 | | 9 | 12 | | 10 | 16 | | 11 | 2 | | 12 | 4 | | 13 | 3 | | 14 | 16 | | 15 | 25 | | 16 | 9 | | 17 | 1 | | 18 | 8 | | 19 | 2 | | 20 | 13 | | 21 | 12 | | 22 | 9 | | 23 | 30 | | 24 | 4 | | 25 | 40 | | 26 | 8 | | 27 | 11 | | 28 | 3 | | 29 | 4 | | 30 | 1 | | 31 | 26 | | 32 | 6 | | 33 | 3 | | 34 | 6 | | 35 | 17 | | 36 | 16 | | 37 | 5 | | 38 | 1 | | 39 | 4 | | 40 | 35 | | 41 | 15 | | 42 | 3 | | 43 | 11 | | 44 | 2 | | 45 | 2 | | 46 | 28 | | 47 | 27 | | 48 | 16 | | 49 | 8 |
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| 60.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.41836734693877553 | | totalSentences | 98 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 77 | | matches | | 0 | "Instead it swallowed the sound" | | 1 | "Somewhere behind her, a twig" | | 2 | "Just a grey luminance that" |
| | ratio | 0.039 | |
| 90.13% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 77 | | matches | | 0 | "She pushed through the last" | | 1 | "It should have warmed near" | | 2 | "It had warmed all the" | | 3 | "She stopped walking." | | 4 | "She'd noticed it without noticing" | | 5 | "Her own breath hung in" | | 6 | "She'd been told to wait" | | 7 | "She kept telling herself it" | | 8 | "She lifted one foot and" | | 9 | "They should have crunched." | | 10 | "She crouched and pressed her" | | 11 | "It came from the tree" | | 12 | "She turned her head slowly." | | 13 | "She straightened up and made" | | 14 | "She fixed her eyes on" | | 15 | "She snapped her head round." | | 16 | "Her heart was going hard" | | 17 | "It came from all of" | | 18 | "She reached the centre stone" | | 19 | "She held up her own" |
| | ratio | 0.325 | |
| 57.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 77 | | matches | | 0 | "The note in Aurora's pocket" | | 1 | "She pushed through the last" | | 2 | "The Heartstone pendant lay cold" | | 3 | "That was the first wrong" | | 4 | "It should have warmed near" | | 5 | "It had warmed all the" | | 6 | "Wildflowers covered the ground in" | | 7 | "Foxgloves next to snowdrops next" | | 8 | "She stopped walking." | | 9 | "She'd noticed it without noticing" | | 10 | "The flowers moved as though" | | 11 | "Her own breath hung in" | | 12 | "The word went out and" | | 13 | "The clearing should have thrown" | | 14 | "She'd been told to wait" | | 15 | "The benefactor, whoever had left" | | 16 | "That was the deal." | | 17 | "She kept telling herself it" | | 18 | "The grass under her boots" | | 19 | "She lifted one foot and" |
| | ratio | 0.805 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 48.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 5 | | matches | | 0 | "Eight of them, ancient oaks turned to grey wood by some weather that had nothing to do with rain, ringing the clearing like teeth in a half-open mouth." | | 1 | "The flowers moved as though a breeze ran through them, bending and rising in slow waves, but the air against her face stayed perfectly still." | | 2 | "Beyond it the trees crowded close, trunks black against blacker shadow, and between them the spaces seemed deeper than they should, as if the wood went on much …" | | 3 | "From the stones, from the flowers, from the still and empty air, a great unhurried sigh that wrapped the clearing and pressed against her ears." | | 4 | "And in the absolute silence that followed, close enough now to stir the hair against her ear, a voice that was almost gentle spoke a single word." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she breathed (breathe)" |
| | dialogueSentences | 9 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.5 | | effectiveRatio | 0.444 | |