| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 923 | | 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) | |
| 34.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 923 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "glinting" | | 1 | "traced" | | 2 | "silence" | | 3 | "pulsed" | | 4 | "trembled" | | 5 | "porcelain" | | 6 | "velvet" | | 7 | "tracing" | | 8 | "footsteps" | | 9 | "echoed" |
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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 | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 107 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 918 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 756 | | uniqueNames | 11 | | maxNameDensity | 2.25 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 2 | | Camden | 2 | | Quinn | 17 | | Eva | 12 | | Veil | 2 | | Compass | 1 | | Town | 1 | | Morris | 2 | | James | 1 | | Market | 1 | | Footsteps | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Eva" | | 2 | "Morris" | | 3 | "James" | | 4 | "Footsteps" |
| | places | | | globalScore | 0.376 | | windowScore | 0.333 | |
| 51.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 2 | | matches | | 0 | "as if counting the seconds" | | 1 | "something like thyme" |
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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 | 918 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 17.65 | | std | 12.97 | | cv | 0.735 | | sampleLengths | | 0 | 58 | | 1 | 34 | | 2 | 37 | | 3 | 28 | | 4 | 2 | | 5 | 3 | | 6 | 10 | | 7 | 9 | | 8 | 17 | | 9 | 34 | | 10 | 8 | | 11 | 20 | | 12 | 25 | | 13 | 8 | | 14 | 13 | | 15 | 11 | | 16 | 37 | | 17 | 33 | | 18 | 10 | | 19 | 6 | | 20 | 34 | | 21 | 9 | | 22 | 3 | | 23 | 8 | | 24 | 13 | | 25 | 6 | | 26 | 35 | | 27 | 24 | | 28 | 8 | | 29 | 33 | | 30 | 28 | | 31 | 35 | | 32 | 23 | | 33 | 16 | | 34 | 7 | | 35 | 4 | | 36 | 40 | | 37 | 3 | | 38 | 13 | | 39 | 10 | | 40 | 31 | | 41 | 16 | | 42 | 4 | | 43 | 27 | | 44 | 5 | | 45 | 30 | | 46 | 10 | | 47 | 5 | | 48 | 9 | | 49 | 16 |
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| 95.43% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 107 | | matches | | 0 | "been dragged" | | 1 | "were welded" | | 2 | "been stitched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 141 | | matches | (empty) | |
| 32.12% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 129 | | ratio | 0.039 | | matches | | 0 | "The air smelled of damp concrete and something older—incense layered over rotting grease." | | 1 | "A blood trail cut across the platform like a broken string, not splattered, not pooled—smeared at ankle height, as if the victim had been dragged before collapsing." | | 2 | "A shadow shifted against the wall—someone had marked symbols in charcoal." | | 3 | "A puff of stale air rushed out—thick with the scent of iron and something like thyme." | | 4 | "She reached into the dead woman’s satchel—leather, vintage, no brand label." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 722 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.01662049861495845 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004155124653739612 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 7.12 | | std | 5.76 | | cv | 0.81 | | sampleLengths | | 0 | 14 | | 1 | 20 | | 2 | 13 | | 3 | 11 | | 4 | 6 | | 5 | 6 | | 6 | 2 | | 7 | 2 | | 8 | 18 | | 9 | 10 | | 10 | 27 | | 11 | 18 | | 12 | 10 | | 13 | 2 | | 14 | 3 | | 15 | 5 | | 16 | 5 | | 17 | 7 | | 18 | 2 | | 19 | 17 | | 20 | 11 | | 21 | 2 | | 22 | 2 | | 23 | 14 | | 24 | 5 | | 25 | 5 | | 26 | 3 | | 27 | 8 | | 28 | 12 | | 29 | 8 | | 30 | 2 | | 31 | 2 | | 32 | 2 | | 33 | 11 | | 34 | 8 | | 35 | 3 | | 36 | 10 | | 37 | 8 | | 38 | 3 | | 39 | 37 | | 40 | 3 | | 41 | 10 | | 42 | 20 | | 43 | 2 | | 44 | 3 | | 45 | 5 | | 46 | 4 | | 47 | 2 | | 48 | 9 | | 49 | 13 |
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| 55.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.37209302325581395 | | totalSentences | 129 | | uniqueOpeners | 48 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 90 | | matches | | 0 | "Somewhere water dripped, slow and" | | 1 | "Too precise to be vandalism." |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 90 | | matches | | 0 | "He wasn’t supposed to be" | | 1 | "She paused at the bottom," | | 2 | "She looked up when Quinn’s" | | 3 | "She exhaled through her nose." | | 4 | "She walked past Eva, her" | | 5 | "She pocketed the compass." | | 6 | "She knelt, tugged the worn" | | 7 | "They were welded plates, layered" | | 8 | "They pulsed, weak but alive," | | 9 | "Her dress was velvet black," | | 10 | "They weren’t just silver." | | 11 | "She crouched, avoiding contact, staring" | | 12 | "She stood slowly." | | 13 | "She reached into the dead" | | 14 | "She leafed through them." | | 15 | "She turned the page." |
| | ratio | 0.178 | |
| 76.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 90 | | matches | | 0 | "The old Tube tunnel yawned" | | 1 | "Quinn picked her way down" | | 2 | "The air smelled of damp" | | 3 | "A constable shivered near the" | | 4 | "He wasn’t supposed to be" | | 5 | "The body wasn’t supposed to" | | 6 | "She paused at the bottom," | | 7 | "A blood trail cut across" | | 8 | "Eva stood at the far" | | 9 | "She looked up when Quinn’s" | | 10 | "Eva adjusted her round glasses." | | 11 | "Quinn stepped over a loose" | | 12 | "A shadow shifted against the" | | 13 | "Quinn crouched, fingers hovering above" | | 14 | "She exhaled through her nose." | | 15 | "Eva shook her head, satchel" | | 16 | "Quinn’s finger traced the edge" | | 17 | "A long silence." | | 18 | "The dripping water pulsed between" | | 19 | "Quinn stood, wiping her hands" |
| | ratio | 0.767 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 3 | | matches | | 0 | "Somewhere water dripped, slow and deliberate, as if counting the seconds." | | 1 | "A blood trail cut across the platform like a broken string, not splattered, not pooled—smeared at ankle height, as if the victim had been dragged before collaps…" | | 2 | "Her dress was velvet black, embroidered with silver thread that glimmered like starlight." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |