| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "she asked again [again]" |
| | dialogueSentences | 41 | | tagDensity | 0.268 | | leniency | 0.537 | | rawRatio | 0.091 | | effectiveRatio | 0.049 | |
| 96.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1307 | | totalAiIsmAdverbs | 1 | | 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) | |
| 50.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1307 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulsed" | | 1 | "footsteps" | | 2 | "weight" | | 3 | "silence" | | 4 | "resonated" | | 5 | "searing" | | 6 | "scanned" | | 7 | "raced" | | 8 | "wavered" | | 9 | "perfect" | | 10 | "familiar" |
| |
| 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 | 146 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 146 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 175 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 5 | | totalWords | 1307 | | ratio | 0.004 | | matches | | 0 | "Mabinogion" | | 1 | "Crunch." | | 2 | "Crunch. Crunch-crunch." | | 3 | "was" |
| |
| 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 | 29 | | wordCount | 1078 | | uniqueNames | 12 | | maxNameDensity | 1.21 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Park | 1 | | Thursday | 1 | | December | 2 | | London | 2 | | Footsteps | 1 | | Aurora | 13 | | Eva | 3 | | Silas | 2 | | Fae | 1 | | Evan | 1 | | Golden | 1 | | Empress | 1 |
| | persons | | 0 | "Footsteps" | | 1 | "Aurora" | | 2 | "Eva" | | 3 | "Silas" | | 4 | "Evan" |
| | places | | 0 | "Park" | | 1 | "December" | | 2 | "London" |
| | globalScore | 0.897 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | 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 | 1307 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 175 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 80 | | mean | 16.34 | | std | 14.14 | | cv | 0.866 | | sampleLengths | | 0 | 11 | | 1 | 50 | | 2 | 33 | | 3 | 15 | | 4 | 7 | | 5 | 43 | | 6 | 6 | | 7 | 37 | | 8 | 8 | | 9 | 1 | | 10 | 14 | | 11 | 12 | | 12 | 2 | | 13 | 21 | | 14 | 11 | | 15 | 2 | | 16 | 3 | | 17 | 35 | | 18 | 6 | | 19 | 2 | | 20 | 33 | | 21 | 7 | | 22 | 6 | | 23 | 37 | | 24 | 19 | | 25 | 5 | | 26 | 2 | | 27 | 21 | | 28 | 43 | | 29 | 8 | | 30 | 19 | | 31 | 3 | | 32 | 3 | | 33 | 26 | | 34 | 9 | | 35 | 2 | | 36 | 19 | | 37 | 12 | | 38 | 7 | | 39 | 5 | | 40 | 27 | | 41 | 32 | | 42 | 5 | | 43 | 9 | | 44 | 4 | | 45 | 6 | | 46 | 31 | | 47 | 2 | | 48 | 34 | | 49 | 6 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 146 | | matches | | |
| 61.11% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 192 | | matches | | 0 | "was searing" | | 1 | "was failing" | | 2 | "was wearing" | | 3 | "was coming" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 175 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 190 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.02631578947368421 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.015789473684210527 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 175 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 175 | | mean | 7.47 | | std | 6.79 | | cv | 0.909 | | sampleLengths | | 0 | 11 | | 1 | 8 | | 2 | 11 | | 3 | 31 | | 4 | 6 | | 5 | 17 | | 6 | 3 | | 7 | 7 | | 8 | 10 | | 9 | 5 | | 10 | 7 | | 11 | 5 | | 12 | 12 | | 13 | 10 | | 14 | 16 | | 15 | 4 | | 16 | 1 | | 17 | 1 | | 18 | 5 | | 19 | 3 | | 20 | 6 | | 21 | 12 | | 22 | 5 | | 23 | 6 | | 24 | 4 | | 25 | 4 | | 26 | 1 | | 27 | 2 | | 28 | 7 | | 29 | 5 | | 30 | 6 | | 31 | 6 | | 32 | 1 | | 33 | 1 | | 34 | 1 | | 35 | 1 | | 36 | 4 | | 37 | 15 | | 38 | 6 | | 39 | 5 | | 40 | 2 | | 41 | 3 | | 42 | 1 | | 43 | 4 | | 44 | 11 | | 45 | 19 | | 46 | 6 | | 47 | 2 | | 48 | 3 | | 49 | 3 |
| |
| 54.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.4057142857142857 | | totalSentences | 175 | | uniqueOpeners | 71 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 126 | | matches | | 0 | "Just beyond the stone circle." | | 1 | "Even the wind died." | | 2 | "Then, from that blackness, a" | | 3 | "Just for a moment." | | 4 | "Just long enough to see" | | 5 | "Then the mist closed, and" | | 6 | "Instead, she approached the altar" |
| | ratio | 0.056 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 126 | | matches | | 0 | "Her voice came out steadier" | | 1 | "She stepped between the two" | | 2 | "She approached the altar." | | 3 | "Her breath plumed white." | | 4 | "It burned against her palm." | | 5 | "It wasn't loud." | | 6 | "It wasn't close." | | 7 | "She scanned the grove." | | 8 | "She'd come for the pendant's" | | 9 | "It pooled around the frost-covered" | | 10 | "She thought of Silas, who'd" | | 11 | "They'll give you direct answers," | | 12 | "she asked again" | | 13 | "It took shape, vaguely human," | | 14 | "It was wearing her mother's" | | 15 | "She pulled the chain free," | | 16 | "it said, but the voice" | | 17 | "It wasn't a sound that" | | 18 | "It was inside her skull," | | 19 | "She looked down at her" |
| | ratio | 0.214 | |
| 83.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 126 | | matches | | 0 | "The oak standing stones rose" | | 1 | "Aurora pulled the collar of" | | 2 | "Richmond Park at midnight wasn't" | | 3 | "The grove waited beyond the" | | 4 | "Wildflowers bobbed in a breeze" | | 5 | "Bluebells in December." | | 6 | "Foxgloves with heads the size" | | 7 | "Her voice came out steadier" | | 8 | "She stepped between the two" | | 9 | "The temperature dropped ten degrees." | | 10 | "The mist thickened, swallowing the" | | 11 | "The standing stones formed a" | | 12 | "The pendant pulsed twice." | | 13 | "Aurora had come for answers." | | 14 | "Eva thought she was mental." | | 15 | "Silas just poured her stronger" | | 16 | "She approached the altar." | | 17 | "Her breath plumed white." | | 18 | "The sound had come from" | | 19 | "The words died in the" |
| | ratio | 0.754 | |
| 39.68% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 126 | | matches | | | ratio | 0.008 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "Eyes that reflected the moonlight like a cat's, but wrong, the reflection moving independently of the head it belonged to." | | 1 | "She should run, should call Eva, should do all the sensible things that had kept her alive this long." | | 2 | "She walked like someone who'd just discovered that the ground beneath her feet was thinner than she'd ever imagined, and that something waited below, patient an…" |
| |
| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "it said, but the voice wavered" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.098 | | leniency | 0.195 | | rawRatio | 0 | | effectiveRatio | 0 | |