| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.563 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 602 | | totalAiIsmAdverbs | 2 | | 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) | |
| 0.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 602 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "echoing" | | 1 | "electric" | | 2 | "familiar" | | 3 | "weight" | | 4 | "silence" | | 5 | "traced" | | 6 | "furrowed" | | 7 | "etched" | | 8 | "raced" | | 9 | "otherworldly" | | 10 | "could feel" | | 11 | "pulsed" |
| |
| 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 | 40 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 40 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 47 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 598 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 31.47% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 464 | | uniqueNames | 4 | | maxNameDensity | 2.37 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 11 | | Tube | 1 | | Morris | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | (empty) | | globalScore | 0.315 | | windowScore | 0.667 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 598 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 47 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 28.48 | | std | 14.42 | | cv | 0.506 | | sampleLengths | | 0 | 58 | | 1 | 12 | | 2 | 36 | | 3 | 49 | | 4 | 41 | | 5 | 9 | | 6 | 32 | | 7 | 15 | | 8 | 17 | | 9 | 53 | | 10 | 33 | | 11 | 18 | | 12 | 25 | | 13 | 41 | | 14 | 15 | | 15 | 29 | | 16 | 7 | | 17 | 26 | | 18 | 42 | | 19 | 22 | | 20 | 18 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 40 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 94 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 47 | | ratio | 0.064 | | matches | | 0 | "The air hung heavy with dust and something else—an electric charge that made the hairs on her arms stand up." | | 1 | "She pulled out a small device from her pocket—a prototype she'd been working on, designed to detect unusual energy signatures." | | 2 | "It pulsed with an eerie light, and Quinn could hear whispers coming from within—voices speaking in languages she didn't recognize." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 467 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.017130620985010708 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.010706638115631691 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 47 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 47 | | mean | 12.72 | | std | 5.61 | | cv | 0.441 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 20 | | 3 | 12 | | 4 | 17 | | 5 | 19 | | 6 | 14 | | 7 | 20 | | 8 | 15 | | 9 | 7 | | 10 | 13 | | 11 | 12 | | 12 | 9 | | 13 | 9 | | 14 | 7 | | 15 | 25 | | 16 | 8 | | 17 | 7 | | 18 | 7 | | 19 | 10 | | 20 | 16 | | 21 | 17 | | 22 | 20 | | 23 | 19 | | 24 | 3 | | 25 | 3 | | 26 | 8 | | 27 | 12 | | 28 | 6 | | 29 | 9 | | 30 | 12 | | 31 | 4 | | 32 | 16 | | 33 | 13 | | 34 | 12 | | 35 | 10 | | 36 | 5 | | 37 | 9 | | 38 | 20 | | 39 | 7 | | 40 | 26 | | 41 | 12 | | 42 | 15 | | 43 | 15 | | 44 | 8 | | 45 | 14 | | 46 | 18 |
| |
| 90.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5531914893617021 | | totalSentences | 47 | | uniqueOpeners | 26 | |
| 87.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 38 | | matches | | 0 | "Suddenly, Morris grabbed her arm," |
| | ratio | 0.026 | |
| 72.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 38 | | matches | | 0 | "She pulled out her notebook," | | 1 | "she asked, her voice cutting" | | 2 | "she murmured, moving closer" | | 3 | "She crouched down, ignoring the" | | 4 | "It was worn leather, full" | | 5 | "Her fingers traced over the" | | 6 | "She pulled out a small" | | 7 | "she said, her voice low" | | 8 | "Her partner looked skeptical, but" | | 9 | "They'd been through too much" | | 10 | "he whispered, pointing ahead" | | 11 | "It pulsed with an eerie" | | 12 | "She had a feeling they" | | 13 | "she ordered, taking a step" |
| | ratio | 0.368 | |
| 65.26% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 30 | | totalSentences | 38 | | matches | | 0 | "Detective Harlow Quinn stepped into" | | 1 | "The air hung heavy with" | | 2 | "She pulled out her notebook," | | 3 | "she asked, her voice cutting" | | 4 | "DS Morris, her partner of" | | 5 | "Quinn nodded, her sharp jawline" | | 6 | "The girl's red hair fanned" | | 7 | "she murmured, moving closer" | | 8 | "She crouched down, ignoring the" | | 9 | "It was worn leather, full" | | 10 | "Her fingers traced over the" | | 11 | "Morris asked, standing to join" | | 12 | "Quinn said, opening it carefully" | | 13 | "Morris peered over her shoulder," | | 14 | "Quinn stood, brushing dust from" | | 15 | "She pulled out a small" | | 16 | "The needle on the device" | | 17 | "Quinn's heart raced." | | 18 | "This was it." | | 19 | "This was the break she'd" |
| | ratio | 0.789 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 3 | | matches | | 0 | "she asked, her voice cutting through the silence" | | 1 | "Morris asked, standing to join her" | | 2 | "she said, her voice low and urgent" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 5 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "he whispered (whisper)" | | 2 | "Morris breathed (breathe)" | | 3 | "Quinn admitted (admit)" | | 4 | "she ordered (order)" |
| | dialogueSentences | 16 | | tagDensity | 0.563 | | leniency | 1 | | rawRatio | 0.556 | | effectiveRatio | 0.556 | |