| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1499 | | 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) | |
| 66.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1499 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulse" | | 1 | "echo" | | 2 | "warmth" | | 3 | "weight" | | 4 | "silence" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 133 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 133 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1499 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1329 | | uniqueNames | 16 | | maxNameDensity | 0.75 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Golden | 1 | | Empress | 1 | | Ham | 1 | | Common | 1 | | Heartstone | 1 | | Pendant | 1 | | Kew | 1 | | Road | 1 | | Pembroke | 1 | | Lodge | 1 | | Eva | 1 | | Rory | 10 | | Evan | 1 | | Cardiff | 2 |
| | persons | | 0 | "Pendant" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Evan" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "Kew" | | 4 | "Road" | | 5 | "Pembroke" | | 6 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 90 | | 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 | 1499 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 145 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 36.56 | | std | 26.01 | | cv | 0.711 | | sampleLengths | | 0 | 75 | | 1 | 46 | | 2 | 9 | | 3 | 62 | | 4 | 14 | | 5 | 7 | | 6 | 76 | | 7 | 68 | | 8 | 51 | | 9 | 7 | | 10 | 22 | | 11 | 78 | | 12 | 5 | | 13 | 40 | | 14 | 4 | | 15 | 2 | | 16 | 27 | | 17 | 8 | | 18 | 35 | | 19 | 61 | | 20 | 58 | | 21 | 7 | | 22 | 58 | | 23 | 70 | | 24 | 47 | | 25 | 14 | | 26 | 21 | | 27 | 39 | | 28 | 71 | | 29 | 20 | | 30 | 18 | | 31 | 66 | | 32 | 71 | | 33 | 14 | | 34 | 27 | | 35 | 65 | | 36 | 74 | | 37 | 39 | | 38 | 7 | | 39 | 15 | | 40 | 1 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 133 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 191 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 145 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1332 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 15 | | adverbRatio | 0.01126126126126126 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 10.34 | | std | 8.76 | | cv | 0.848 | | sampleLengths | | 0 | 19 | | 1 | 11 | | 2 | 8 | | 3 | 9 | | 4 | 5 | | 5 | 7 | | 6 | 16 | | 7 | 19 | | 8 | 2 | | 9 | 6 | | 10 | 19 | | 11 | 9 | | 12 | 11 | | 13 | 26 | | 14 | 12 | | 15 | 13 | | 16 | 6 | | 17 | 8 | | 18 | 7 | | 19 | 13 | | 20 | 19 | | 21 | 11 | | 22 | 5 | | 23 | 28 | | 24 | 9 | | 25 | 11 | | 26 | 1 | | 27 | 1 | | 28 | 16 | | 29 | 7 | | 30 | 23 | | 31 | 6 | | 32 | 12 | | 33 | 7 | | 34 | 26 | | 35 | 7 | | 36 | 8 | | 37 | 7 | | 38 | 7 | | 39 | 7 | | 40 | 23 | | 41 | 6 | | 42 | 29 | | 43 | 2 | | 44 | 2 | | 45 | 9 | | 46 | 5 | | 47 | 6 | | 48 | 9 | | 49 | 6 |
| |
| 49.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3448275862068966 | | totalSentences | 145 | | uniqueOpeners | 50 | |
| 30.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 111 | | matches | | 0 | "Even the frost had stopped" |
| | ratio | 0.009 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 111 | | matches | | 0 | "Her delivery boots from the" | | 1 | "She checked the road behind" | | 2 | "She pulled the note from" | | 3 | "She killed the torch and" | | 4 | "Her eyes found the shapes" | | 5 | "Her shoulder-length black hair stuck" | | 6 | "She set off past the" | | 7 | "She spoke to hear a" | | 8 | "She stepped between two trunks." | | 9 | "It tasted of copper pennies" | | 10 | "Her ears popped." | | 11 | "She stared at the digits" | | 12 | "Her reflection stared back, bright" | | 13 | "She thumbed it awake." | | 14 | "She opened the voice notes" | | 15 | "Her thumb hovered over the" | | 16 | "She rubbed the small crescent-shaped" | | 17 | "She counted gaps." | | 18 | "She walked the circle with" | | 19 | "She pulled her hand back" |
| | ratio | 0.333 | |
| 45.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 111 | | matches | | 0 | "Rory climbed the deer fence" | | 1 | "Her delivery boots from the" | | 2 | "She checked the road behind" | | 3 | "The park held black trees" | | 4 | "She pulled the note from" | | 5 | "The Heartstone Pendant hammered heat" | | 6 | "The deep crimson stone had" | | 7 | "That afternoon it had warmed" | | 8 | "Rory thumbed the phone clock" | | 9 | "Blood from a split knuckle" | | 10 | "She killed the torch and" | | 11 | "Her eyes found the shapes" | | 12 | "Her shoulder-length black hair stuck" | | 13 | "Breath smoked from her mouth." | | 14 | "She set off past the" | | 15 | "The path forked at a" | | 16 | "The pendant jerked heat in" | | 17 | "Frost silvered the grass in" | | 18 | "Wildflowers stood open among the" | | 19 | "Rory stopped at the tree" |
| | ratio | 0.829 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 111 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 1 | | matches | | 0 | "The pendant jerked heat in a pulse that matched her steps." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |