| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1076 | | 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) | |
| 67.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1076 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "fractured" | | 1 | "footfall" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "could feel" | | 5 | "flickered" | | 6 | "electric" |
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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 | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 83 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1071 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.57% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1049 | | uniqueNames | 9 | | maxNameDensity | 1.05 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | High | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Quinn | 11 | | Underground | 1 | | Herrera | 4 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Raven" |
| | globalScore | 0.976 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.934 | | wordCount | 1071 | | matches | | 0 | "not electric, but the restless orange of open flame" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 85 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 34.55 | | std | 27.91 | | cv | 0.808 | | sampleLengths | | 0 | 62 | | 1 | 15 | | 2 | 7 | | 3 | 68 | | 4 | 7 | | 5 | 64 | | 6 | 7 | | 7 | 9 | | 8 | 43 | | 9 | 16 | | 10 | 64 | | 11 | 62 | | 12 | 2 | | 13 | 63 | | 14 | 59 | | 15 | 14 | | 16 | 16 | | 17 | 45 | | 18 | 76 | | 19 | 24 | | 20 | 5 | | 21 | 89 | | 22 | 7 | | 23 | 101 | | 24 | 24 | | 25 | 29 | | 26 | 6 | | 27 | 33 | | 28 | 18 | | 29 | 25 | | 30 | 11 |
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| 84.13% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 83 | | matches | | 0 | "was gone" | | 1 | "been bricked" | | 2 | "been sheared" | | 3 | "been shut" | | 4 | "been boarded" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 171 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 85 | | ratio | 0.071 | | matches | | 0 | "Eighteen years on the job had taught her how a guilty man moved—the panic in the shoulders, the wasted energy of someone who'd never trained to run." | | 1 | "CAMDEN ROAD — CLOSED." | | 2 | "The fence—and there, at the base of it, a panel of chain-link peeled back like the lid of a tin, the cut edges bright where the rust had been sheared away." | | 3 | "Light flickered up from below—not electric, but the restless orange of open flame." | | 4 | "Figures moved between them—too many, too still in the wrong moments, their shadows falling at angles that didn't match the light." | | 5 | "And there—threading the crowd with that same clean, unhurried stride—Herrera." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1058 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.026465028355387523 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002835538752362949 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 12.6 | | std | 8.84 | | cv | 0.701 | | sampleLengths | | 0 | 21 | | 1 | 20 | | 2 | 21 | | 3 | 10 | | 4 | 5 | | 5 | 3 | | 6 | 4 | | 7 | 32 | | 8 | 2 | | 9 | 4 | | 10 | 30 | | 11 | 7 | | 12 | 16 | | 13 | 27 | | 14 | 5 | | 15 | 16 | | 16 | 7 | | 17 | 9 | | 18 | 5 | | 19 | 20 | | 20 | 18 | | 21 | 16 | | 22 | 7 | | 23 | 21 | | 24 | 22 | | 25 | 5 | | 26 | 9 | | 27 | 14 | | 28 | 2 | | 29 | 32 | | 30 | 4 | | 31 | 10 | | 32 | 2 | | 33 | 12 | | 34 | 17 | | 35 | 1 | | 36 | 2 | | 37 | 31 | | 38 | 9 | | 39 | 31 | | 40 | 2 | | 41 | 6 | | 42 | 11 | | 43 | 4 | | 44 | 10 | | 45 | 16 | | 46 | 5 | | 47 | 3 | | 48 | 19 | | 49 | 18 |
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| 81.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5411764705882353 | | totalSentences | 85 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 74 | | matches | | 0 | "Of course he didn't." | | 1 | "Then he was gone, swallowed" | | 2 | "Somewhere water dripped with the" | | 3 | "A lot of voices." |
| | ratio | 0.054 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 74 | | matches | | 0 | "Her voice cut through the" | | 1 | "He didn't stop." | | 2 | "She'd clocked him outside The" | | 3 | "He vaulted a low railing" | | 4 | "He ran clean, economical, like" | | 5 | "He looked at her the" | | 6 | "She came out the far" | | 7 | "Her hand found the small" | | 8 | "She crouched and put the" | | 9 | "She could feel it the" | | 10 | "She slipped through the gap." | | 11 | "She had a baton and" | | 12 | "She'd worked with less." | | 13 | "He hadn't looked back since" | | 14 | "He thought he'd lost her." | | 15 | "She turned fast, baton half-drawn," | | 16 | "She had maybe ten seconds" |
| | ratio | 0.23 | |
| 74.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 74 | | matches | | 0 | "Rain came down in sheets" | | 1 | "Quinn ran with her coat" | | 2 | "Her voice cut through the" | | 3 | "He didn't stop." | | 4 | "She'd clocked him outside The" | | 5 | "The sort of man who" | | 6 | "Tonight she meant to find" | | 7 | "He vaulted a low railing" | | 8 | "Herrera didn't move like that." | | 9 | "He ran clean, economical, like" | | 10 | "That bothered her more than" | | 11 | "A glance over his shoulder." | | 12 | "Olive skin, dark curls flattened" | | 13 | "He looked at her the" | | 14 | "Quinn hit the tunnel at" | | 15 | "Sodium light buzzed overhead, painting" | | 16 | "Graffiti crawled across every surface." | | 17 | "She came out the far" | | 18 | "Brick on three sides, a" | | 19 | "CAMDEN ROAD — CLOSED." |
| | ratio | 0.77 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 61.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 5 | | matches | | 0 | "He vaulted a low railing without breaking stride, and Quinn followed, her palm scraping wet iron." | | 1 | "Olive skin, dark curls flattened to his scalp, water sheeting off a chin set with something that wasn't quite fear." | | 2 | "Brick on three sides, a chain-link fence sagging on the fourth, and beyond it the rusted gate of an Underground station that had been bricked up since before sh…" | | 3 | "A flight of stairs descended into the dark, the tiles white once, now grey, the air rolling up to meet her carrying a smell that didn't belong to a dead station…" | | 4 | "Figures moved between them—too many, too still in the wrong moments, their shadows falling at angles that didn't match the light." |
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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 | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |