| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 121 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2174 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 97.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2174 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 202 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 202 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 312 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2172 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 29 | | unquotedAttributions | 1 | | matches | | 0 | "Behind them, Rusk said something to Patel in a low, urgent voice." |
| |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 81 | | wordCount | 1529 | | uniqueNames | 9 | | maxNameDensity | 2.16 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Detective | 1 | | Sergeant | 1 | | Patel | 22 | | Quinn | 33 | | Eva | 8 | | Vale | 4 | | Rusk | 8 | | One | 3 |
| | persons | | 0 | "Camden" | | 1 | "Sergeant" | | 2 | "Patel" | | 3 | "Quinn" | | 4 | "Eva" | | 5 | "Rusk" | | 6 | "One" |
| | places | (empty) | | globalScore | 0.421 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 116 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a button until Quinn saw the" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.921 | | wordCount | 2172 | | matches | | 0 | "not toward the light, but toward the place" | | 1 | "not an answer, but a direction" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 312 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 230 | | mean | 9.44 | | std | 9.42 | | cv | 0.998 | | sampleLengths | | 0 | 9 | | 1 | 28 | | 2 | 6 | | 3 | 19 | | 4 | 11 | | 5 | 1 | | 6 | 1 | | 7 | 7 | | 8 | 3 | | 9 | 35 | | 10 | 3 | | 11 | 5 | | 12 | 4 | | 13 | 4 | | 14 | 58 | | 15 | 10 | | 16 | 30 | | 17 | 2 | | 18 | 10 | | 19 | 9 | | 20 | 5 | | 21 | 7 | | 22 | 6 | | 23 | 4 | | 24 | 6 | | 25 | 2 | | 26 | 46 | | 27 | 6 | | 28 | 7 | | 29 | 23 | | 30 | 44 | | 31 | 9 | | 32 | 11 | | 33 | 4 | | 34 | 6 | | 35 | 1 | | 36 | 29 | | 37 | 2 | | 38 | 23 | | 39 | 21 | | 40 | 4 | | 41 | 1 | | 42 | 17 | | 43 | 3 | | 44 | 8 | | 45 | 31 | | 46 | 2 | | 47 | 1 | | 48 | 6 | | 49 | 2 |
| |
| 94.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 202 | | matches | | 0 | "were made" | | 1 | "was clenched" | | 2 | "been wiped" | | 3 | "been secured" | | 4 | "been left" | | 5 | "been entered" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 258 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 312 | | ratio | 0.013 | | matches | | 0 | "One moment there was a wall; the next there was a passage through it, breathing out warm air that smelled of lamp oil, wet wool, and something sweet going rotten." | | 1 | "Some were made from packing cases; others had glass cabinets, awnings, little signs written in scripts Quinn couldn’t identify." | | 2 | "The needle shifted too—not toward the light, but toward the place where the beam illuminated the tiles." | | 3 | "His face changed—not dramatically, not into some useful confession." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1533 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 48 | | adverbRatio | 0.03131115459882583 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.011741682974559686 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 312 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 312 | | mean | 6.96 | | std | 5.67 | | cv | 0.814 | | sampleLengths | | 0 | 9 | | 1 | 6 | | 2 | 22 | | 3 | 6 | | 4 | 7 | | 5 | 12 | | 6 | 11 | | 7 | 1 | | 8 | 1 | | 9 | 7 | | 10 | 3 | | 11 | 2 | | 12 | 3 | | 13 | 30 | | 14 | 3 | | 15 | 4 | | 16 | 1 | | 17 | 4 | | 18 | 4 | | 19 | 10 | | 20 | 7 | | 21 | 19 | | 22 | 6 | | 23 | 16 | | 24 | 4 | | 25 | 6 | | 26 | 20 | | 27 | 10 | | 28 | 2 | | 29 | 6 | | 30 | 4 | | 31 | 5 | | 32 | 4 | | 33 | 5 | | 34 | 7 | | 35 | 6 | | 36 | 4 | | 37 | 5 | | 38 | 1 | | 39 | 2 | | 40 | 5 | | 41 | 41 | | 42 | 6 | | 43 | 7 | | 44 | 6 | | 45 | 4 | | 46 | 5 | | 47 | 8 | | 48 | 19 | | 49 | 8 |
| |
| 59.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3665594855305466 | | totalSentences | 311 | | uniqueOpeners | 114 | |
| 58.48% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 171 | | matches | | 0 | "Too many witnesses watching too" | | 1 | "Then she went back inside" | | 2 | "Then she walked to the" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 171 | | matches | | 0 | "It looked like a button" | | 1 | "He pressed it against a" | | 2 | "She went through first." | | 3 | "She showed him her warrant" | | 4 | "He glanced at the stalls." | | 5 | "He wore a waistcoat over" | | 6 | "His left hand was open." | | 7 | "His right was clenched." | | 8 | "She crouched beside the body" | | 9 | "His spectacles lay beneath the" | | 10 | "She was small, red-haired, wearing" | | 11 | "She tucked a curl behind" | | 12 | "She lowered herself onto one" | | 13 | "She moved the beam toward" | | 14 | "He went to measure." | | 15 | "She picked up the compass" | | 16 | "She walked three paces to" | | 17 | "It swung again, holding its" | | 18 | "He crouched beside her, checked" | | 19 | "She pointed to the bare" |
| | ratio | 0.234 | |
| 79.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 130 | | totalSentences | 171 | | matches | | 0 | "The staircase beneath Camden ended" | | 1 | "Quinn stopped one step above" | | 2 | "Patel held up a small" | | 3 | "It looked like a button" | | 4 | "He pressed it against a" | | 5 | "The wall opened." | | 6 | "Quinn stood still." | | 7 | "Patel lowered his hand." | | 8 | "She went through first." | | 9 | "The abandoned station lay beneath" | | 10 | "Stalls crowded the platform between" | | 11 | "Some were made from packing" | | 12 | "Something scratched inside a covered" | | 13 | "A woman in a fur" | | 14 | "A constable waited beside it," | | 15 | "She showed him her warrant" | | 16 | "He glanced at the stalls." | | 17 | "The constable didn’t move." | | 18 | "Quinn turned to him fully." | | 19 | "Patel ducked under the tape." |
| | ratio | 0.76 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 171 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 2 | | matches | | 0 | "One moment there was a wall; the next there was a passage through it, breathing out warm air that smelled of lamp oil, wet wool, and something sweet going rotte…" | | 1 | "The compass had been left prominently on the desk, beside an appointment naming the woman who was coming to collect it." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 121 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0 | | effectiveRatio | 0 | |