| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1101 | | 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) | |
| 4.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1101 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "echoed" | | 2 | "gloom" | | 3 | "scanning" | | 4 | "silence" | | 5 | "pristine" | | 6 | "efficient" | | 7 | "standard" | | 8 | "intensity" | | 9 | "porcelain" | | 10 | "shimmered" | | 11 | "traced" | | 12 | "perfect" | | 13 | "weight" | | 14 | "pulse" | | 15 | "throb" |
| |
| 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 | 72 | | matches | (empty) | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 72 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1099 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 766 | | uniqueNames | 6 | | maxNameDensity | 1.57 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 12 | | Camden | 1 | | Tube | 1 | | Veil | 1 | | Compass | 1 | | Miller | 9 |
| | persons | | | places | (empty) | | globalScore | 0.717 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed thicker more physical" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.91 | | wordCount | 1099 | | matches | | 0 | "not the heavy tread of a boot, but something lighter, more deliberate" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 18.95 | | std | 14.71 | | cv | 0.776 | | sampleLengths | | 0 | 59 | | 1 | 4 | | 2 | 34 | | 3 | 8 | | 4 | 48 | | 5 | 5 | | 6 | 6 | | 7 | 33 | | 8 | 34 | | 9 | 8 | | 10 | 11 | | 11 | 30 | | 12 | 28 | | 13 | 6 | | 14 | 22 | | 15 | 10 | | 16 | 5 | | 17 | 24 | | 18 | 41 | | 19 | 5 | | 20 | 31 | | 21 | 1 | | 22 | 2 | | 23 | 10 | | 24 | 30 | | 25 | 7 | | 26 | 44 | | 27 | 4 | | 28 | 11 | | 29 | 13 | | 30 | 4 | | 31 | 52 | | 32 | 4 | | 33 | 16 | | 34 | 38 | | 35 | 17 | | 36 | 35 | | 37 | 6 | | 38 | 9 | | 39 | 3 | | 40 | 20 | | 41 | 14 | | 42 | 24 | | 43 | 30 | | 44 | 11 | | 45 | 53 | | 46 | 7 | | 47 | 7 | | 48 | 14 | | 49 | 6 |
| |
| 95.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 72 | | matches | | 0 | "were curled" | | 1 | "been walled" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 115 | | matches | (empty) | |
| 58.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 102 | | ratio | 0.029 | | matches | | 0 | "The concrete was a graveyard of debris—shards of porcelain, rusted bolts, and ancient dust." | | 1 | "The darkness didn't just lack light; it seemed to pull at it." | | 2 | "A faint, rhythmic indentation marked the dust—not the heavy tread of a boot, but something lighter, more deliberate." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 772 | | adjectiveStacks | 1 | | stackExamples | | 0 | "cracked, salt-stained tiles." |
| | adverbCount | 14 | | adverbRatio | 0.018134715025906734 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0025906735751295338 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 10.77 | | std | 6.75 | | cv | 0.627 | | sampleLengths | | 0 | 6 | | 1 | 24 | | 2 | 20 | | 3 | 9 | | 4 | 4 | | 5 | 8 | | 6 | 16 | | 7 | 10 | | 8 | 8 | | 9 | 9 | | 10 | 27 | | 11 | 10 | | 12 | 2 | | 13 | 5 | | 14 | 6 | | 15 | 7 | | 16 | 10 | | 17 | 16 | | 18 | 2 | | 19 | 14 | | 20 | 6 | | 21 | 12 | | 22 | 8 | | 23 | 11 | | 24 | 30 | | 25 | 3 | | 26 | 8 | | 27 | 17 | | 28 | 6 | | 29 | 12 | | 30 | 10 | | 31 | 10 | | 32 | 5 | | 33 | 24 | | 34 | 3 | | 35 | 8 | | 36 | 11 | | 37 | 10 | | 38 | 9 | | 39 | 5 | | 40 | 10 | | 41 | 12 | | 42 | 9 | | 43 | 1 | | 44 | 2 | | 45 | 10 | | 46 | 2 | | 47 | 14 | | 48 | 14 | | 49 | 7 |
| |
| 44.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.29411764705882354 | | totalSentences | 102 | | uniqueOpeners | 30 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 67 | | matches | | 0 | "Instead, she circled it, her" |
| | ratio | 0.015 | |
| 58.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 67 | | matches | | 0 | "He wiped a palm across" | | 1 | "He gestured toward the yellow" | | 2 | "Her military-trained gaze swept the" | | 3 | "She checked the worn leather" | | 4 | "His charcoal suit remained pristine," | | 5 | "His head tilted back at" | | 6 | "She didn't reach for the" | | 7 | "She noted the lack of" | | 8 | "She reached into her kit" | | 9 | "She moved the light down" | | 10 | "She followed the line of" | | 11 | "She turned her back to" | | 12 | "She knelt again, pointing the" | | 13 | "It wasn't red." | | 14 | "It shimmered with an iridescent," | | 15 | "It had climbed." | | 16 | "Her fingers brushed the cool," | | 17 | "She didn't pull it out," | | 18 | "She focused on the man's" | | 19 | "She used a sterile swab" |
| | ratio | 0.403 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 67 | | matches | | 0 | "The stairs groaned under Quinn’s" | | 1 | "Each step sent a vibration" | | 2 | "The air tasted of damp" | | 3 | "Miller stood by the edge" | | 4 | "He wiped a palm across" | | 5 | "He gestured toward the yellow" | | 6 | "Quinn stepped past him, her" | | 7 | "Her military-trained gaze swept the" | | 8 | "She checked the worn leather" | | 9 | "Miller pointed toward a concrete" | | 10 | "A man lay slumped against" | | 11 | "His charcoal suit remained pristine," | | 12 | "His head tilted back at" | | 13 | "The movement was efficient, a" | | 14 | "She didn't reach for the" | | 15 | "Miller stepped closer, his hands" | | 16 | "Quinn leaned in." | | 17 | "The man’s skin possessed a" | | 18 | "She noted the lack of" | | 19 | "She reached into her kit" |
| | ratio | 0.955 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 46.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 5 | | matches | | 0 | "Each step sent a vibration through the rusted iron railing, a rhythmic shudder that echoed up the throat of the abandoned Camden Tube station." | | 1 | "Her military-trained gaze swept the darkness, cataloging the broken tracks, the discarded newspapers from a decade ago, and the heavy, stagnant silence that sat…" | | 2 | "The movement was efficient, a practiced descent that kept her center of gravity low." | | 3 | "A trail of impressions led away from the body, heading deeper into the tunnels, toward the sections of the station that had been walled off since the seventies." | | 4 | "She turned and began the walk toward the walled-off sector, her boots striking the concrete with the steady, unrelenting cadence of a soldier advancing into the…" |
| |
| 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 | |