| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 6 | | tagDensity | 0.833 | | leniency | 1 | | rawRatio | 0.2 | | effectiveRatio | 0.2 | |
| 81.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 816 | | 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) | |
| 69.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 816 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "weight" | | 1 | "pulsed" | | 2 | "footsteps" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 66 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 66 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 816 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 763 | | uniqueNames | 7 | | maxNameDensity | 0.39 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Isolde" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Rory | 3 | | Isolde | 3 | | Heartstone | 1 | | June | 1 | | Grove | 2 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 3 | | matches | | 0 | "not quite the same" | | 1 | "seemed nearer than they had been" | | 2 | "sounded like someone else reciting a lesso" |
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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 | 816 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 68 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 32.64 | | std | 25.85 | | cv | 0.792 | | sampleLengths | | 0 | 50 | | 1 | 33 | | 2 | 12 | | 3 | 19 | | 4 | 86 | | 5 | 7 | | 6 | 88 | | 7 | 10 | | 8 | 9 | | 9 | 86 | | 10 | 21 | | 11 | 30 | | 12 | 29 | | 13 | 9 | | 14 | 39 | | 15 | 3 | | 16 | 7 | | 17 | 57 | | 18 | 45 | | 19 | 17 | | 20 | 65 | | 21 | 13 | | 22 | 16 | | 23 | 20 | | 24 | 45 |
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| 94.63% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 66 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 126 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 68 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 260 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.023076923076923078 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 12 | | std | 10.36 | | cv | 0.864 | | sampleLengths | | 0 | 20 | | 1 | 30 | | 2 | 10 | | 3 | 11 | | 4 | 12 | | 5 | 7 | | 6 | 5 | | 7 | 19 | | 8 | 18 | | 9 | 20 | | 10 | 22 | | 11 | 1 | | 12 | 1 | | 13 | 24 | | 14 | 7 | | 15 | 2 | | 16 | 16 | | 17 | 20 | | 18 | 5 | | 19 | 2 | | 20 | 43 | | 21 | 4 | | 22 | 6 | | 23 | 9 | | 24 | 9 | | 25 | 35 | | 26 | 42 | | 27 | 6 | | 28 | 15 | | 29 | 10 | | 30 | 20 | | 31 | 11 | | 32 | 9 | | 33 | 2 | | 34 | 7 | | 35 | 1 | | 36 | 8 | | 37 | 18 | | 38 | 21 | | 39 | 3 | | 40 | 3 | | 41 | 4 | | 42 | 7 | | 43 | 25 | | 44 | 25 | | 45 | 11 | | 46 | 6 | | 47 | 11 | | 48 | 6 | | 49 | 2 |
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| 75.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4852941176470588 | | totalSentences | 68 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 53 | | matches | | 0 | "Exactly one hour, and then" | | 1 | "Then a sound came from" | | 2 | "Only the wind moving high" | | 3 | "Then it went on." | | 4 | "Instead she kept her left" |
| | ratio | 0.094 | |
| 31.32% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 53 | | matches | | 0 | "She pushed through it with" | | 1 | "Her phone showed 11:52 and" | | 2 | "She tucked it into her" | | 3 | "she said to the dark" | | 4 | "Her voice came back to" | | 5 | "Their trunks were split and" | | 6 | "She counted the standing stones" | | 7 | "It was the size of" | | 8 | "She had felt it heat" | | 9 | "She closed her fist over" | | 10 | "She stood at the centre" | | 11 | "Her breath clouded in front" | | 12 | "She turned her head slowly" | | 13 | "She let out a breath" | | 14 | "It came in a rhythm," | | 15 | "She did not reach for" | | 16 | "She had known better than" | | 17 | "She turned her whole body" | | 18 | "Her heart said otherwise and" | | 19 | "She looked down at her" |
| | ratio | 0.472 | |
| 73.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 53 | | matches | | 0 | "The gate at the south" | | 1 | "She pushed through it with" | | 2 | "The path ran downhill between" | | 3 | "Her phone showed 11:52 and" | | 4 | "She tucked it into her" | | 5 | "she said to the dark" | | 6 | "Her voice came back to" | | 7 | "The bracken gave way to" | | 8 | "Their trunks were split and" | | 9 | "She counted the standing stones" | | 10 | "The thirteenth had toppled at" | | 11 | "The pendant against her breastbone" | | 12 | "It was the size of" | | 13 | "She had felt it heat" | | 14 | "She closed her fist over" | | 15 | "The clearing opened out ahead" | | 16 | "Wildflowers covered the ground in" | | 17 | "Isolde had called it the" | | 18 | "Rory had come for an" | | 19 | "She stood at the centre" |
| | ratio | 0.774 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 27.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 5 | | matches | | 0 | "She pushed through it with her shoulder, boots crunching on gravel that had gone soft with the week's rain, and the iron hinge gave a single dry complaint behin…" | | 1 | "The thirteenth had toppled at some point and lay half-sunk in the moss, its face carved with a spiral that had worn almost smooth." | | 2 | "Wildflowers covered the ground in drifts of white and violet, flowering in the cold as if it were June, and their scent hit her all at once, sweet and green and…" | | 3 | "She was almost certain that the toppled thirteenth had been lying on its back, and now it leaned upright, facing her, its carved spiral catching a light that ca…" | | 4 | "She kept her eyes on the fourteenth stone and her fingers closed around the warm crimson weight in her fist, and she listened to the footsteps that were not foo…" |
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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 | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 6 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |