| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1044 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 66.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1044 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "pulse" | | 1 | "silence" | | 2 | "lurch" | | 3 | "stomach" | | 4 | "could feel" | | 5 | "trembled" |
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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 | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 68 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 62 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1044 | | ratio | 0 | | matches | (empty) | |
| 93.75% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 1 | | matches | | 0 | "A fox, she told herself." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 989 | | uniqueNames | 7 | | maxNameDensity | 0.61 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 6 | | Camden | 1 | | Richmond | 1 | | Park | 1 | | December | 1 | | Evan | 1 | | London | 1 |
| | persons | | | places | | 0 | "Camden" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "December" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a generous word for what had" | | 1 | "something close to pain" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1044 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 34.8 | | std | 24.77 | | cv | 0.712 | | sampleLengths | | 0 | 13 | | 1 | 79 | | 2 | 37 | | 3 | 68 | | 4 | 51 | | 5 | 8 | | 6 | 53 | | 7 | 6 | | 8 | 32 | | 9 | 10 | | 10 | 61 | | 11 | 20 | | 12 | 9 | | 13 | 64 | | 14 | 17 | | 15 | 20 | | 16 | 7 | | 17 | 76 | | 18 | 11 | | 19 | 56 | | 20 | 26 | | 21 | 41 | | 22 | 63 | | 23 | 7 | | 24 | 30 | | 25 | 64 | | 26 | 3 | | 27 | 62 | | 28 | 1 | | 29 | 49 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 68 | | matches | | |
| 61.11% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 144 | | matches | | 0 | "was standing" | | 1 | "was already regretting" | | 2 | "wasn't singing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 69 | | ratio | 0.014 | | matches | | 0 | "She stopped between two stones; one hand on cold rock, and breathed through her mouth to test it." |
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| 65.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 57 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.10526315789473684 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 15.13 | | std | 14.85 | | cv | 0.981 | | sampleLengths | | 0 | 13 | | 1 | 2 | | 2 | 1 | | 3 | 22 | | 4 | 7 | | 5 | 47 | | 6 | 37 | | 7 | 14 | | 8 | 39 | | 9 | 2 | | 10 | 5 | | 11 | 8 | | 12 | 7 | | 13 | 16 | | 14 | 28 | | 15 | 8 | | 16 | 14 | | 17 | 37 | | 18 | 1 | | 19 | 1 | | 20 | 6 | | 21 | 18 | | 22 | 2 | | 23 | 10 | | 24 | 2 | | 25 | 9 | | 26 | 1 | | 27 | 44 | | 28 | 17 | | 29 | 4 | | 30 | 16 | | 31 | 9 | | 32 | 2 | | 33 | 1 | | 34 | 19 | | 35 | 42 | | 36 | 5 | | 37 | 12 | | 38 | 20 | | 39 | 2 | | 40 | 5 | | 41 | 44 | | 42 | 5 | | 43 | 27 | | 44 | 11 | | 45 | 36 | | 46 | 2 | | 47 | 18 | | 48 | 6 | | 49 | 20 |
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| 86.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5362318840579711 | | totalSentences | 69 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 52 | | matches | | 0 | "Just oaks, and the black" | | 1 | "Instead she walked towards the" | | 2 | "Almost, almost like breathing, if" |
| | ratio | 0.058 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 52 | | matches | | 0 | "She pressed two fingers to" | | 1 | "It had never done that" | | 2 | "She stopped between two stones;" | | 3 | "she said, mostly to hear" | | 4 | "She counted three heartbeats before" | | 5 | "she said, louder than the" | | 6 | "She pressed on, following the" | | 7 | "She noticed that too, filed" | | 8 | "She should have turned round" | | 9 | "She thought that later, lying" | | 10 | "It was a wound, black" | | 11 | "She swept it left." | | 12 | "Her heartbeat climbed into her" | | 13 | "She stood frozen at the" |
| | ratio | 0.269 | |
| 75.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 52 | | matches | | 0 | "The pendant burned against Rory's" | | 1 | "She pressed two fingers to" | | 2 | "It had never done that" | | 3 | "The oaks came first, black" | | 4 | "Isolde's grove sat somewhere beyond" | | 5 | "That was closer to it." | | 6 | "The pendant pulling, and her" | | 7 | "Grass swallowed the sound of" | | 8 | "That was the first wrong" | | 9 | "The second wrong thing came" | | 10 | "Rory had crossed this boundary" | | 11 | "Tonight the air tasted of" | | 12 | "She stopped between two stones;" | | 13 | "she said, mostly to hear" | | 14 | "The grove unfolded ahead of" | | 15 | "Bluebells that had no business" | | 16 | "The pendant thrummed harder." | | 17 | "Something moved at the tree" | | 18 | "She counted three heartbeats before" | | 19 | "A fox, she told herself." |
| | ratio | 0.769 | |
| 96.15% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 52 | | matches | | | ratio | 0.019 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 7 | | matches | | 0 | "No crunch of gravel, no rustle of dry leaves underfoot, just a soft nothing, as if the ground itself had gone out of its way to stay quiet." | | 1 | "Rory had crossed this boundary a handful of times, always with the small lurch in her stomach that came with stepping between worlds, always with the strange ce…" | | 2 | "The grove unfolded ahead of her the way it always did, too fast for the distance her legs had actually covered, wildflowers glowing pale under a moon that hung …" | | 3 | "Rory's torch app trembled in her other hand, throwing a thin white beam that didn't reach far enough to matter." | | 4 | "Caught, for half a second, a pale curve low against the black that might have been a shoulder, might have been a knee, might have been nothing at all, and was g…" | | 5 | "Her heartbeat climbed into her throat and stayed there, and every instinct she owned, the ones that had got her out of a flat with Evan's fist still ringing in …" | | 6 | "She stood frozen at the edge of that wound in the trees, pendant burning a brand into her palm, and listened to the wet clicking breath draw one long, slow inha…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |