| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1303 | | 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) | |
| 38.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1303 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "echoing" | | 1 | "etched" | | 2 | "quivered" | | 3 | "trembled" | | 4 | "traced" | | 5 | "reverberated" | | 6 | "weight" | | 7 | "chill" | | 8 | "vibrated" | | 9 | "shimmered" | | 10 | "tracing" | | 11 | "pulsed" | | 12 | "pulse" | | 13 | "quickened" | | 14 | "mechanical" |
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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 | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | 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 | 1303 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 70.71% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1072 | | uniqueNames | 5 | | maxNameDensity | 1.59 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Morris | 3 | | Eva | 12 | | Quinn | 17 | | Market | 1 | | Oxford | 1 |
| | persons | | | places | | | globalScore | 0.707 | | windowScore | 1 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 3 | | matches | | 0 | "appeared under the lamplight, the same triangle pattern as the shard" | | 1 | "appeared newer than the rest" | | 2 | "as if responding to the pocketed instrument" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1303 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 76.06% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 50.12 | | std | 20.86 | | cv | 0.416 | | sampleLengths | | 0 | 70 | | 1 | 39 | | 2 | 87 | | 3 | 60 | | 4 | 49 | | 5 | 77 | | 6 | 23 | | 7 | 31 | | 8 | 61 | | 9 | 66 | | 10 | 30 | | 11 | 75 | | 12 | 62 | | 13 | 20 | | 14 | 36 | | 15 | 65 | | 16 | 55 | | 17 | 21 | | 18 | 74 | | 19 | 52 | | 20 | 28 | | 21 | 51 | | 22 | 68 | | 23 | 38 | | 24 | 4 | | 25 | 61 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 181 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 105 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1072 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.026119402985074626 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.010261194029850746 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 12.41 | | std | 7.1 | | cv | 0.572 | | sampleLengths | | 0 | 27 | | 1 | 15 | | 2 | 28 | | 3 | 8 | | 4 | 13 | | 5 | 18 | | 6 | 9 | | 7 | 19 | | 8 | 2 | | 9 | 2 | | 10 | 13 | | 11 | 15 | | 12 | 27 | | 13 | 11 | | 14 | 18 | | 15 | 14 | | 16 | 17 | | 17 | 19 | | 18 | 30 | | 19 | 13 | | 20 | 10 | | 21 | 30 | | 22 | 8 | | 23 | 16 | | 24 | 6 | | 25 | 17 | | 26 | 7 | | 27 | 24 | | 28 | 11 | | 29 | 13 | | 30 | 18 | | 31 | 5 | | 32 | 14 | | 33 | 8 | | 34 | 13 | | 35 | 8 | | 36 | 17 | | 37 | 4 | | 38 | 16 | | 39 | 4 | | 40 | 26 | | 41 | 8 | | 42 | 11 | | 43 | 15 | | 44 | 13 | | 45 | 17 | | 46 | 11 | | 47 | 2 | | 48 | 7 | | 49 | 22 |
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| 54.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3523809523809524 | | totalSentences | 105 | | uniqueOpeners | 37 | |
| 40.16% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 83 | | matches | | 0 | "Only a scattering of bone" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 83 | | matches | | 0 | "She twisted it between her" | | 1 | "She knelt opposite the body," | | 2 | "She rose, her bearing straight" | | 3 | "She paused at a crack" | | 4 | "She recovered it without disturbing" | | 5 | "It tracked the tunnel mouth" | | 6 | "She recalled the supplier who" | | 7 | "She pressed the centre." | | 8 | "She moved instead toward the" | | 9 | "She withdrew it." | | 10 | "She knelt and worked one" | | 11 | "She lifted the victim's left" | | 12 | "She angled the beam to" | | 13 | "She turned toward the track" | | 14 | "She reached for the rail" |
| | ratio | 0.181 | |
| 20.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 83 | | matches | | 0 | "Quinn lifted the twisted metal" | | 1 | "The shard bent at an" | | 2 | "She twisted it between her" | | 3 | "She knelt opposite the body," | | 4 | "Quinn placed the shard beside" | | 5 | "The victim wore a faded" | | 6 | "Quinn slid her left wrist" | | 7 | "The positions of the fragments" | | 8 | "She rose, her bearing straight" | | 9 | "The emergency lamps threw long" | | 10 | "Dampness clung to the bricks," | | 11 | "Eva adjusted her round glasses" | | 12 | "Quinn walked the length of" | | 13 | "She paused at a crack" | | 14 | "She recovered it without disturbing" | | 15 | "The compass needle inside, though" | | 16 | "Eva leaned closer, her freckled" | | 17 | "The needle on the compass" | | 18 | "It tracked the tunnel mouth" | | 19 | "She recalled the supplier who" |
| | ratio | 0.88 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 3 | | matches | | 0 | "Inside the fissure lay a small brass object, its casing dulled by verdigris and etched with faint protective marks that caught light only when turned at the exa…" | | 1 | "The outline sank inward with a click that reverberated farther than any ordinary mechanism should allow." | | 2 | "The glow pulsed once, slow, as if responding to the pocketed instrument." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn murmured (murmur)" | | 1 | "Quinn ordered (order)" | | 2 | "entry repeated (repeat)" |
| | dialogueSentences | 17 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0.429 | | effectiveRatio | 0.353 | |