| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 53 | | tagDensity | 0.358 | | leniency | 0.717 | | rawRatio | 0.053 | | effectiveRatio | 0.038 | |
| 92.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1310 | | 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) | |
| 96.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1310 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 60 | | matches | (empty) | |
| 95.24% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 60 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 69 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1320 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 733 | | uniqueNames | 6 | | maxNameDensity | 1.36 | | worstName | "Okafor" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Okafor" | | discoveredNames | | Camden | 1 | | Okafor | 10 | | Hale | 1 | | Quinn | 8 | | Verdigris | 1 | | Warm | 1 |
| | persons | | 0 | "Okafor" | | 1 | "Hale" | | 2 | "Quinn" | | 3 | "Verdigris" | | 4 | "Warm" |
| | places | (empty) | | globalScore | 0.818 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 48.48% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.515 | | wordCount | 1320 | | matches | | 0 | "not at the body, not at the salt, but at the bricked arch" | | 1 | "not at the salt, but at the bricked arch" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 28.7 | | std | 27.3 | | cv | 0.951 | | sampleLengths | | 0 | 35 | | 1 | 76 | | 2 | 14 | | 3 | 22 | | 4 | 3 | | 5 | 38 | | 6 | 51 | | 7 | 4 | | 8 | 2 | | 9 | 77 | | 10 | 5 | | 11 | 34 | | 12 | 6 | | 13 | 89 | | 14 | 37 | | 15 | 9 | | 16 | 47 | | 17 | 5 | | 18 | 16 | | 19 | 20 | | 20 | 45 | | 21 | 21 | | 22 | 2 | | 23 | 70 | | 24 | 6 | | 25 | 29 | | 26 | 40 | | 27 | 2 | | 28 | 54 | | 29 | 7 | | 30 | 9 | | 31 | 14 | | 32 | 12 | | 33 | 4 | | 34 | 18 | | 35 | 85 | | 36 | 1 | | 37 | 114 | | 38 | 19 | | 39 | 43 | | 40 | 19 | | 41 | 1 | | 42 | 27 | | 43 | 56 | | 44 | 5 | | 45 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 78.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 110 | | matches | | 0 | "wasn't pointing" | | 1 | "was breathing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 94 | | ratio | 0.074 | | matches | | 0 | "The tape across the service entrance read POLICE — KEEP OUT in three languages, and in a fourth, scrawled in marker: REALLY." | | 1 | "The dead man lay at its centre, pale against the black floor, and the smell reached her before the body did — struck matches and something sweet underneath, burnt sugar with a wire of ozone in it." | | 2 | "Dust lay over everything, thick as felt — except for a clean oval, six feet by three, dead centre, with Hale lying in the middle of it." | | 3 | "The burn spiralled out from his sternum, flesh charred to the ribs — and the outer face of the cotton above it sat pristine, a band logo still crisp on the chest." | | 4 | "At the far end of the platform, a woman crouched at the wall with a torch between her teeth — small, round glasses fogged, red curls crushed under a hood, a leather satchel sagging with books." | | 5 | "Verdigris sat in the engraving like moss in brickwork, and around the face ran a ring of sigils — the same spirals, the same bars, chalked sixty feet away on the wall." | | 6 | "The needle dragged, swung, steadied — not at the body, not at the salt, but at the bricked arch, and it stayed there like a dog at a door." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 731 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.02188782489740082 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0027359781121751026 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 14.04 | | std | 12.6 | | cv | 0.897 | | sampleLengths | | 0 | 22 | | 1 | 13 | | 2 | 8 | | 3 | 31 | | 4 | 37 | | 5 | 14 | | 6 | 22 | | 7 | 3 | | 8 | 38 | | 9 | 9 | | 10 | 1 | | 11 | 14 | | 12 | 27 | | 13 | 4 | | 14 | 2 | | 15 | 34 | | 16 | 32 | | 17 | 4 | | 18 | 4 | | 19 | 3 | | 20 | 5 | | 21 | 24 | | 22 | 10 | | 23 | 3 | | 24 | 3 | | 25 | 7 | | 26 | 25 | | 27 | 36 | | 28 | 21 | | 29 | 9 | | 30 | 28 | | 31 | 4 | | 32 | 5 | | 33 | 12 | | 34 | 35 | | 35 | 5 | | 36 | 13 | | 37 | 3 | | 38 | 16 | | 39 | 4 | | 40 | 3 | | 41 | 16 | | 42 | 5 | | 43 | 5 | | 44 | 16 | | 45 | 21 | | 46 | 2 | | 47 | 11 | | 48 | 32 | | 49 | 5 |
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| 80.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5161290322580645 | | totalSentences | 93 | | uniqueOpeners | 48 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 94.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 54 | | matches | | 0 | "She gave the platform a" | | 1 | "She crouched, gloved, lifted the" | | 2 | "She turned the collar." | | 3 | "She sat back on her" | | 4 | "He wrote nothing." | | 5 | "She rose and walked the" | | 6 | "She tucked a curl behind" | | 7 | "He nodded at the tarp" | | 8 | "She picked up the compass" | | 9 | "It turned in a slow" | | 10 | "She glanced at Okafor, at" | | 11 | "Her voice dropped." | | 12 | "She pointed with the compass" | | 13 | "She nodded at the far" | | 14 | "She pressed her bare palm" | | 15 | "She took her hand back" | | 16 | "She looked at the arch," |
| | ratio | 0.315 | |
| 24.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 54 | | matches | | 0 | "The tape across the service" | | 1 | "Quinn ducked under it and" | | 2 | "The dead man lay at" | | 3 | "DS Okafor waited at the" | | 4 | "Quinn's thumb found the worn" | | 5 | "She gave the platform a" | | 6 | "Dust lay over everything, thick" | | 7 | "She crouched, gloved, lifted the" | | 8 | "The burn spiralled out from" | | 9 | "She turned the collar." | | 10 | "She sat back on her" | | 11 | "Okafor's gum stopped." | | 12 | "He wrote nothing." | | 13 | "She rose and walked the" | | 14 | "A line of salt, poured" | | 15 | "Chalk marks covered the tiles" | | 16 | "Okafor said, following her look" | | 17 | "Quinn crossed to her." | | 18 | "The woman stood, wiping her" | | 19 | "She tucked a curl behind" |
| | ratio | 0.87 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 53 | | tagDensity | 0.113 | | leniency | 0.226 | | rawRatio | 0.167 | | effectiveRatio | 0.038 | |