| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.517 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1181 | | 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) | |
| 36.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1181 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "fluttered" | | 2 | "standard" | | 3 | "pulsed" | | 4 | "shattered" | | 5 | "traced" | | 6 | "echoing" | | 7 | "glint" | | 8 | "etched" | | 9 | "whisper" | | 10 | "furrowing" | | 11 | "pristine" | | 12 | "weight" | | 13 | "perfect" | | 14 | "silence" |
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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 | 67 | | matches | (empty) | |
| 78.89% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1180 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.78% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 831 | | uniqueNames | 17 | | maxNameDensity | 1.56 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 13 | | Tube | 1 | | Camden | 2 | | London | 1 | | Underground | 1 | | Sergeant | 1 | | Miller | 9 | | Veil | 1 | | Compass | 1 | | Morris | 2 | | Thames | 1 | | Oxford | 1 | | Metropolitan | 1 | | Police | 1 | | Kowalski | 1 | | Glock | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Sergeant" | | 4 | "Miller" | | 5 | "Compass" | | 6 | "Morris" | | 7 | "Police" | | 8 | "Kowalski" |
| | places | | | globalScore | 0.718 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1180 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 33.71 | | std | 21.45 | | cv | 0.636 | | sampleLengths | | 0 | 63 | | 1 | 29 | | 2 | 33 | | 3 | 23 | | 4 | 46 | | 5 | 4 | | 6 | 79 | | 7 | 45 | | 8 | 18 | | 9 | 4 | | 10 | 23 | | 11 | 73 | | 12 | 11 | | 13 | 52 | | 14 | 36 | | 15 | 64 | | 16 | 3 | | 17 | 51 | | 18 | 24 | | 19 | 38 | | 20 | 22 | | 21 | 55 | | 22 | 22 | | 23 | 67 | | 24 | 24 | | 25 | 17 | | 26 | 68 | | 27 | 33 | | 28 | 8 | | 29 | 31 | | 30 | 9 | | 31 | 48 | | 32 | 36 | | 33 | 14 | | 34 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 67 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 129 | | matches | (empty) | |
| 1.76% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 3 | | flaggedSentences | 4 | | totalSentences | 81 | | ratio | 0.049 | | matches | | 0 | "The face lacked cardinal directions; instead, the glass covered a series of delicate, overlapping silver sigils etched directly into the metal." | | 1 | "The residue was cold—unnaturally so, like dry ice." | | 2 | "When she pulled her hand back, the drop didn't stick to her glove; it evaporated into a thin wispy vapor that smelled of dry autumn leaves and ozone." | | 3 | "The air ahead didn't just feel cold; it felt thin, like the peak of a mountain." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 837 | | adjectiveStacks | 2 | | stackExamples | | 0 | "delicate, overlapping silver sigils" | | 1 | "tiny, hand-carved initials" |
| | adverbCount | 16 | | adverbRatio | 0.019115890083632018 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005973715651135006 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 14.57 | | std | 8.51 | | cv | 0.584 | | sampleLengths | | 0 | 20 | | 1 | 19 | | 2 | 15 | | 3 | 9 | | 4 | 29 | | 5 | 19 | | 6 | 14 | | 7 | 23 | | 8 | 13 | | 9 | 10 | | 10 | 2 | | 11 | 21 | | 12 | 4 | | 13 | 25 | | 14 | 27 | | 15 | 27 | | 16 | 9 | | 17 | 10 | | 18 | 3 | | 19 | 10 | | 20 | 3 | | 21 | 10 | | 22 | 18 | | 23 | 4 | | 24 | 23 | | 25 | 14 | | 26 | 8 | | 27 | 9 | | 28 | 14 | | 29 | 5 | | 30 | 23 | | 31 | 7 | | 32 | 4 | | 33 | 19 | | 34 | 33 | | 35 | 17 | | 36 | 11 | | 37 | 8 | | 38 | 6 | | 39 | 15 | | 40 | 21 | | 41 | 6 | | 42 | 16 | | 43 | 3 | | 44 | 13 | | 45 | 38 | | 46 | 15 | | 47 | 9 | | 48 | 15 | | 49 | 23 |
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| 65.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.43209876543209874 | | totalSentences | 81 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 84.52% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 62 | | matches | | 0 | "She adjusted her grip on" | | 1 | "He looked up, his face" | | 2 | "She tapped her left wrist," | | 3 | "He held up a plastic" | | 4 | "Her fingers traced the clean," | | 5 | "She dropped the bag back" | | 6 | "She crouched, shining her light" | | 7 | "It didn't look like blood." | | 8 | "It had an oily, iridescent" | | 9 | "She slipped on a latex" | | 10 | "Her fingers closed around a" | | 11 | "She pulled it into the" | | 12 | "It was a small brass" | | 13 | "It spun in slow, erratic" | | 14 | "Her heart hammered against her" | | 15 | "She shone her torch across" | | 16 | "She touched her gloved index" | | 17 | "She stood up, her sharp" | | 18 | "She knew the signs now." | | 19 | "It wasn't the shape of" |
| | ratio | 0.339 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 62 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "She adjusted her grip on" | | 2 | "The air tasted of copper," | | 3 | "A yellow line of police" | | 4 | "He looked up, his face" | | 5 | "Quinn stepped closer, her boots" | | 6 | "She tapped her left wrist," | | 7 | "The train lines above had" | | 8 | "Miller said, pointing a gloved" | | 9 | "He held up a plastic" | | 10 | "Quinn took the bag, squinting" | | 11 | "Her fingers traced the clean," | | 12 | "These weren't ivory." | | 13 | "The marrow cavity was too" | | 14 | "A bone token." | | 15 | "The entrance fee for a" | | 16 | "She dropped the bag back" | | 17 | "Quinn walked to the edge" | | 18 | "The damp heat of the" | | 19 | "She crouched, shining her light" |
| | ratio | 0.952 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 3 | | matches | | 0 | "A yellow line of police tape fluttered against a soot-stained pillar, marking the boundary of a space that did not exist on any official map of the London Under…" | | 1 | "The back of the compass bore a fresh scratch, a deep gouge that missed a tiny, hand-carved initials stamp near the hinge: *E.K.*" | | 2 | "When she pulled her hand back, the drop didn't stick to her glove; it evaporated into a thin wispy vapor that smelled of dry autumn leaves and ozone." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "Quinn stepped, her boots crunching on broken glass" | | 1 | "Miller called out, his voice echoing hollowly off the tiles" | | 2 | "Quinn said, her voice dropping to a hard whisper" | | 3 | "Miller muttered, though his tone lacked conviction" |
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| 46.55% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "Miller called out (call out)" | | 1 | "Miller insisted (insist)" | | 2 | "Miller muttered (mutter)" |
| | dialogueSentences | 29 | | tagDensity | 0.345 | | leniency | 0.69 | | rawRatio | 0.3 | | effectiveRatio | 0.207 | |