| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 97.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1686 | | 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) | |
| 46.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1686 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "measured" | | 1 | "footsteps" | | 2 | "echoes" | | 3 | "footfall" | | 4 | "silence" | | 5 | "lilt" | | 6 | "echoed" | | 7 | "weight" | | 8 | "etched" | | 9 | "traced" | | 10 | "pulsed" | | 11 | "loomed" |
| |
| 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 | 226 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 226 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 239 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1686 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.03% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1450 | | uniqueNames | 19 | | maxNameDensity | 1.38 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Chalk | 1 | | Farm | 1 | | Road | 1 | | Metropolitan | 1 | | Raven | 1 | | Nest | 1 | | Webley | 1 | | Camden | 1 | | Andalusian | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Morris | 3 | | Veil | 1 | | Market | 2 | | Tube | 1 | | Tomás | 9 | | Quinn | 20 | | Water | 3 |
| | persons | | 0 | "Raven" | | 1 | "Herrera" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Morris" | | 5 | "Market" | | 6 | "Tomás" | | 7 | "Quinn" | | 8 | "Water" |
| | places | | | globalScore | 0.81 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 129 | | 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 | 1686 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 239 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 44.37 | | std | 29.06 | | cv | 0.655 | | sampleLengths | | 0 | 97 | | 1 | 61 | | 2 | 81 | | 3 | 57 | | 4 | 54 | | 5 | 11 | | 6 | 71 | | 7 | 11 | | 8 | 34 | | 9 | 12 | | 10 | 10 | | 11 | 25 | | 12 | 50 | | 13 | 12 | | 14 | 9 | | 15 | 38 | | 16 | 19 | | 17 | 23 | | 18 | 60 | | 19 | 40 | | 20 | 61 | | 21 | 7 | | 22 | 15 | | 23 | 31 | | 24 | 74 | | 25 | 83 | | 26 | 58 | | 27 | 16 | | 28 | 63 | | 29 | 6 | | 30 | 100 | | 31 | 83 | | 32 | 80 | | 33 | 91 | | 34 | 4 | | 35 | 29 | | 36 | 60 | | 37 | 50 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 226 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 260 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 239 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1453 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.007570543702684102 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0020646937370956643 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 239 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 239 | | mean | 7.05 | | std | 4.79 | | cv | 0.679 | | sampleLengths | | 0 | 4 | | 1 | 10 | | 2 | 9 | | 3 | 7 | | 4 | 7 | | 5 | 9 | | 6 | 10 | | 7 | 8 | | 8 | 4 | | 9 | 4 | | 10 | 14 | | 11 | 4 | | 12 | 7 | | 13 | 7 | | 14 | 10 | | 15 | 7 | | 16 | 11 | | 17 | 6 | | 18 | 8 | | 19 | 7 | | 20 | 5 | | 21 | 9 | | 22 | 4 | | 23 | 5 | | 24 | 4 | | 25 | 9 | | 26 | 8 | | 27 | 7 | | 28 | 5 | | 29 | 4 | | 30 | 6 | | 31 | 8 | | 32 | 5 | | 33 | 2 | | 34 | 5 | | 35 | 10 | | 36 | 7 | | 37 | 9 | | 38 | 5 | | 39 | 3 | | 40 | 6 | | 41 | 5 | | 42 | 7 | | 43 | 5 | | 44 | 5 | | 45 | 2 | | 46 | 5 | | 47 | 5 | | 48 | 4 | | 49 | 4 |
| |
| 47.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.30962343096234307 | | totalSentences | 239 | | uniqueOpeners | 74 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 213 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 62 | | totalSentences | 213 | | matches | | 0 | "Her jacket collar rose past" | | 1 | "She tracked the silhouette bolted" | | 2 | "She matched his pace." | | 3 | "She closed the gap." | | 4 | "His gait listed slightly to" | | 5 | "She remembered the tip came" | | 6 | "He knew the blind spots." | | 7 | "Her hand rested on the" | | 8 | "She stepped over it." | | 9 | "Her left wrist caught the" | | 10 | "She checked the face anyway." | | 11 | "He vanished into the mouth" | | 12 | "He didn’t slow." | | 13 | "His shoulders ducked beneath the" | | 14 | "She followed the dip in" | | 15 | "Her training demanded silence." | | 16 | "She reached the halfway landing." | | 17 | "She knew the file." | | 18 | "He stepped into the sliver" | | 19 | "Her flashlight beam caught his" |
| | ratio | 0.291 | |
| 13.99% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 190 | | totalSentences | 213 | | matches | | 0 | "Rain needled the pavement." | | 1 | "Water turned Chalk Farm Road" | | 2 | "Quinn’s boots hit the asphalt" | | 3 | "Her jacket collar rose past" | | 4 | "The soaked wool clung to" | | 5 | "Water drummed against the brim" | | 6 | "She tracked the silhouette bolted" | | 7 | "Footsteps splashed in puddles wide" | | 8 | "She matched his pace." | | 9 | "She closed the gap." | | 10 | "This man ran heavy." | | 11 | "His gait listed slightly to" | | 12 | "Neon signs bled colour into" | | 13 | "Quinn crossed the junction without" | | 14 | "She remembered the tip came" | | 15 | "Maps plastered every wall back" | | 16 | "Photographs of dead men stared" | | 17 | "The lead pointed straight to" | | 18 | "The suspect slipped past a" | | 19 | "Metal groaned against brick." |
| | ratio | 0.892 | |
| 23.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 213 | | matches | | 0 | "Now she held the trail." |
| | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | |