| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.235 | | leniency | 0.471 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 901 | | 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) | |
| 27.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 901 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "tracing" | | 1 | "warmth" | | 2 | "etched" | | 3 | "fluttered" | | 4 | "perfect" | | 5 | "weight" | | 6 | "wavered" | | 7 | "shimmered" | | 8 | "aligned" | | 9 | "pristine" | | 10 | "footsteps" | | 11 | "footfall" |
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| 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 | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | 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 | 901 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 72.54% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 710 | | uniqueNames | 3 | | maxNameDensity | 1.55 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | | persons | | 0 | "Harris" | | 1 | "Quinn" | | 2 | "Footsteps" |
| | places | (empty) | | globalScore | 0.725 | | windowScore | 1 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like bone fragments arranged in ne" | | 1 | "appeared doubled one layer solid, one slightly out of register" |
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| 89.01% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.11 | | wordCount | 901 | | matches | | 0 | "not the chalky residue of drug cutting but something finer, catching the light with a faint verdigris s" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 37.54 | | std | 24.31 | | cv | 0.648 | | sampleLengths | | 0 | 45 | | 1 | 6 | | 2 | 68 | | 3 | 22 | | 4 | 52 | | 5 | 49 | | 6 | 9 | | 7 | 74 | | 8 | 91 | | 9 | 22 | | 10 | 70 | | 11 | 18 | | 12 | 5 | | 13 | 27 | | 14 | 24 | | 15 | 74 | | 16 | 16 | | 17 | 47 | | 18 | 28 | | 19 | 40 | | 20 | 54 | | 21 | 24 | | 22 | 32 | | 23 | 4 |
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| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 62 | | matches | | 0 | "was staggered" | | 1 | "being tested" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 117 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 75 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 710 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.02112676056338028 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005633802816901409 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 12.01 | | std | 7.1 | | cv | 0.591 | | sampleLengths | | 0 | 18 | | 1 | 27 | | 2 | 6 | | 3 | 7 | | 4 | 14 | | 5 | 16 | | 6 | 3 | | 7 | 7 | | 8 | 21 | | 9 | 5 | | 10 | 17 | | 11 | 5 | | 12 | 15 | | 13 | 10 | | 14 | 22 | | 15 | 5 | | 16 | 15 | | 17 | 6 | | 18 | 23 | | 19 | 6 | | 20 | 3 | | 21 | 7 | | 22 | 17 | | 23 | 27 | | 24 | 6 | | 25 | 17 | | 26 | 5 | | 27 | 7 | | 28 | 20 | | 29 | 6 | | 30 | 30 | | 31 | 13 | | 32 | 10 | | 33 | 7 | | 34 | 15 | | 35 | 5 | | 36 | 16 | | 37 | 18 | | 38 | 13 | | 39 | 18 | | 40 | 5 | | 41 | 13 | | 42 | 5 | | 43 | 9 | | 44 | 18 | | 45 | 4 | | 46 | 3 | | 47 | 17 | | 48 | 3 | | 49 | 7 |
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| 53.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3466666666666667 | | totalSentences | 75 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 59 | | matches | | 0 | "She crouched, her gloved fingertips" | | 1 | "She peeled back the lid" | | 2 | "She unfastened the small instrument." | | 3 | "It circled once, then locked" | | 4 | "She followed the needle's pull." | | 5 | "She pressed a fingertip to" | | 6 | "She stepped forward, the beam" | | 7 | "It began and ended within" | | 8 | "She withdrew the lens from" | | 9 | "She reached into the shimmer" | | 10 | "She withdrew her hand." | | 11 | "she told Harris" |
| | ratio | 0.203 | |
| 19.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 59 | | matches | | 0 | "Quinn fitted the bone token" | | 1 | "DS Harris stood waiting on" | | 2 | "Quinn crossed to the body" | | 3 | "She crouched, her gloved fingertips" | | 4 | "The fabric was a fine" | | 5 | "The throat bore two precise" | | 6 | "Harris shone his light lower." | | 7 | "Quinn lifted the left wrist." | | 8 | "The skin held residual warmth" | | 9 | "She peeled back the lid" | | 10 | "The clouding was uniform, almost" | | 11 | "She unfastened the small instrument." | | 12 | "Verdigris marked its edges, and" | | 13 | "The needle did not settle" | | 14 | "It circled once, then locked" | | 15 | "Quinn rose and moved past" | | 16 | "The platform stretched into deeper" | | 17 | "A row of shuttered stalls" | | 18 | "Police tape fluttered across the" | | 19 | "She followed the needle's pull." |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "DS Harris stood waiting on the other side, arms folded across his chest, the beam of his torch sweeping over the yellow tape that cordoned the platform." | | 1 | "A low voice followed, rough with amusement, carrying the clipped cadence of someone accustomed to speaking for an audience that was never present." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0 | | effectiveRatio | 0 | |