| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "His voice scraped like [like]" |
| | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.25 | | effectiveRatio | 0.2 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 605 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 42.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 605 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "footfall" | | 2 | "pulsed" | | 3 | "weight" | | 4 | "charged" | | 5 | "shimmered" | | 6 | "scanning" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 53 | | matches | | |
| 88.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 53 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 58 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 600 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 37.01% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 531 | | uniqueNames | 11 | | maxNameDensity | 2.26 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 12 | | Morris | 1 | | Raven | 1 | | Nest | 1 | | Underground | 1 | | Camden | 1 | | Veil | 1 | | Market | 1 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Raven" | | 4 | "Camden" |
| | places | | | globalScore | 0.37 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 33.33% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.667 | | wordCount | 600 | | matches | | 0 | "not with fear, but with recognition" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 58 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 21.43 | | std | 15.59 | | cv | 0.727 | | sampleLengths | | 0 | 63 | | 1 | 8 | | 2 | 30 | | 3 | 23 | | 4 | 2 | | 5 | 51 | | 6 | 22 | | 7 | 6 | | 8 | 46 | | 9 | 6 | | 10 | 45 | | 11 | 14 | | 12 | 3 | | 13 | 44 | | 14 | 8 | | 15 | 11 | | 16 | 16 | | 17 | 32 | | 18 | 19 | | 19 | 14 | | 20 | 18 | | 21 | 12 | | 22 | 18 | | 23 | 26 | | 24 | 24 | | 25 | 24 | | 26 | 8 | | 27 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 53 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 102 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 58 | | ratio | 0.086 | | matches | | 0 | "Vendors hawked enchanted goods from crates—bone charms, bottled thunder, alchemical powders that glowed violet beneath tarps." | | 1 | "The schedule moved every full moon; tonight the place pulsed with hungry life." | | 2 | "The air changed immediately—thicker, charged, smelling of iron and forbidden incense." | | 3 | "His face emerged half-lit by a violet lantern—sharp cheekbones, dark hair plastered to his forehead by rain." | | 4 | "The entrance glowed faintly—rain-soaked streets, safety, ignorance, the world she understood." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 541 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.025878003696857672 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.009242144177449169 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 58 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 58 | | mean | 10.34 | | std | 5.29 | | cv | 0.512 | | sampleLengths | | 0 | 7 | | 1 | 15 | | 2 | 10 | | 3 | 14 | | 4 | 17 | | 5 | 8 | | 6 | 4 | | 7 | 26 | | 8 | 4 | | 9 | 10 | | 10 | 9 | | 11 | 2 | | 12 | 8 | | 13 | 8 | | 14 | 15 | | 15 | 10 | | 16 | 10 | | 17 | 4 | | 18 | 18 | | 19 | 6 | | 20 | 17 | | 21 | 16 | | 22 | 13 | | 23 | 6 | | 24 | 5 | | 25 | 17 | | 26 | 20 | | 27 | 2 | | 28 | 1 | | 29 | 14 | | 30 | 3 | | 31 | 11 | | 32 | 13 | | 33 | 20 | | 34 | 8 | | 35 | 11 | | 36 | 6 | | 37 | 10 | | 38 | 3 | | 39 | 17 | | 40 | 12 | | 41 | 19 | | 42 | 10 | | 43 | 4 | | 44 | 6 | | 45 | 12 | | 46 | 12 | | 47 | 10 | | 48 | 8 | | 49 | 16 |
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| 79.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5 | | totalSentences | 58 | | uniqueOpeners | 29 | |
| 66.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 50 | | matches | | 0 | "Then she saw the runner" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 50 | | matches | | 0 | "Her voice cut through the" | | 1 | "He veered past The Raven’s" | | 2 | "Her worn leather watch glinted" | | 3 | "She kept ten paces back," | | 4 | "They emerged into the Veil" | | 5 | "Her boots sank into grime" | | 6 | "His voice scraped like a" | | 7 | "Her closely cropped salt-and-pepper hair" | | 8 | "His face emerged half-lit by" | | 9 | "His accent carried the clipped" | | 10 | "He laughed, brittle as broken" | | 11 | "Her voice stayed level, but" | | 12 | "He backed toward a hidden" | | 13 | "She turned her back on" |
| | ratio | 0.28 | |
| 30.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 50 | | matches | | 0 | "Detective Harlow Quinn kept her" | | 1 | "The runner ahead wore black" | | 2 | "Tonight the clique left fingerprints" | | 3 | "Her voice cut through the" | | 4 | "The figure didn’t slow." | | 5 | "He veered past The Raven’s" | | 6 | "Quinn reached the rail." | | 7 | "Her worn leather watch glinted" | | 8 | "The stairwell stank of corrosion" | | 9 | "Water dripped from cracked tiles" | | 10 | "Quinn moved with military precision," | | 11 | "The suspect moved fast, coat" | | 12 | "Quinn’s brown eyes narrowed." | | 13 | "She kept ten paces back," | | 14 | "They emerged into the Veil" | | 15 | "The space opened like a" | | 16 | "Vendors hawked enchanted goods from" | | 17 | "The schedule moved every full" | | 18 | "The runner vanished into the" | | 19 | "Quinn paused at the threshold." |
| | ratio | 0.86 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "Vendors hawked enchanted goods from crates—bone charms, bottled thunder, alchemical powders that glowed violet beneath tarps." | | 1 | "Stalls pressed close, offering banned alchemical substances in glass vials, information traded in whispers, goods that shimmered with impossible colours." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 2 | | matches | | 0 | "Her voice stayed, but her jaw tightened" | | 1 | "Quinn moved, her presence cutting through the smoke" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |