| 33.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "He turned back [back]" | | 2 | "she said finally [finally]" |
| | dialogueSentences | 29 | | tagDensity | 0.621 | | leniency | 1 | | rawRatio | 0.167 | | effectiveRatio | 0.167 | |
| 82.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 852 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 852 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "scanned" | | 3 | "whisper" | | 4 | "flickered" | | 5 | "flicker" | | 6 | "intensity" | | 7 | "silence" | | 8 | "charged" | | 9 | "reminder" | | 10 | "depths" | | 11 | "constructed" | | 12 | "unspoken" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 48 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 48 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 57 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 848 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 7 | | wordCount | 664 | | uniqueNames | 6 | | maxNameDensity | 0.3 | | worstName | "London" | | maxWindowNameDensity | 0.5 | | worstWindowName | "London" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Rory | 1 | | Blackwood | 1 | | London | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Blackwood" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 33.72% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like old wood, stale beer, and som" | | 1 | "not quite a whisper, but carrying in the quieting bar" |
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| 82.08% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.179 | | wordCount | 848 | | matches | | 0 | "not quite a whisper, but carrying in the quieting bar" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 83.17% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 13 | | mean | 65.23 | | std | 28.77 | | cv | 0.441 | | sampleLengths | | 0 | 123 | | 1 | 123 | | 2 | 80 | | 3 | 62 | | 4 | 42 | | 5 | 48 | | 6 | 55 | | 7 | 51 | | 8 | 30 | | 9 | 45 | | 10 | 43 | | 11 | 58 | | 12 | 88 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 48 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 92 | | matches | | |
| 42.61% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 57 | | ratio | 0.035 | | matches | | 0 | "Recognition flickered across his face, followed by a flicker of something else – surprise, perhaps, or a shadow of regret." | | 1 | "“Though ‘Rory’ might be closer. Cardiff’s too quiet. London’s noise keeps the ghosts at bay.” She saw the flicker of something in his eyes – a question, a memory." |
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| 91.01% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 668 | | adjectiveStacks | 1 | | stackExamples | | 0 | "final, indifferent green behind her." |
| | adverbCount | 29 | | adverbRatio | 0.04341317365269461 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.014970059880239521 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 57 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 57 | | mean | 14.88 | | std | 7.46 | | cv | 0.502 | | sampleLengths | | 0 | 16 | | 1 | 29 | | 2 | 10 | | 3 | 32 | | 4 | 31 | | 5 | 5 | | 6 | 24 | | 7 | 10 | | 8 | 11 | | 9 | 16 | | 10 | 13 | | 11 | 17 | | 12 | 16 | | 13 | 16 | | 14 | 15 | | 15 | 4 | | 16 | 16 | | 17 | 11 | | 18 | 14 | | 19 | 20 | | 20 | 12 | | 21 | 20 | | 22 | 19 | | 23 | 8 | | 24 | 3 | | 25 | 19 | | 26 | 19 | | 27 | 4 | | 28 | 22 | | 29 | 18 | | 30 | 8 | | 31 | 15 | | 32 | 29 | | 33 | 11 | | 34 | 12 | | 35 | 28 | | 36 | 11 | | 37 | 3 | | 38 | 20 | | 39 | 7 | | 40 | 18 | | 41 | 19 | | 42 | 8 | | 43 | 9 | | 44 | 6 | | 45 | 22 | | 46 | 6 | | 47 | 11 | | 48 | 8 | | 49 | 7 |
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| 69.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.45614035087719296 | | totalSentences | 57 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 48 | | matches | | 0 | "She’d been here a thousand" | | 1 | "She scanned the low-ceilinged room," | | 2 | "He looked older, the lines" | | 3 | "He wasn’t looking at her," | | 4 | "She’d changed too, she realized," | | 5 | "She took a step closer," | | 6 | "Her voice was low, not" | | 7 | "He didn’t turn immediately." | | 8 | "She saw the slight tremor" | | 9 | "He took a slow sip," | | 10 | "His hazel eyes, once so" | | 11 | "He didn’t offer a smile," | | 12 | "He walked towards her, the" | | 13 | "she replied, the old familiarity" | | 14 | "She gestured vaguely at the" | | 15 | "he said, his gaze drifting" | | 16 | "He paused, the silence stretching" | | 17 | "she shot back, a ghost" | | 18 | "She saw the flicker of" | | 19 | "he countered, his voice dropping" |
| | ratio | 0.708 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 48 | | matches | | 0 | "The Raven’s Nest smelled like" | | 1 | "Aurora Carter, or Rory, as" | | 2 | "She’d been here a thousand" | | 3 | "The weight of the delivery" | | 4 | "She scanned the low-ceilinged room," | | 5 | "Silas Blackwood, leaning against the" | | 6 | "He looked older, the lines" | | 7 | "A slight limp was more" | | 8 | "He wasn’t looking at her," | | 9 | "Time had carved its mark" | | 10 | "She’d changed too, she realized," | | 11 | "The quick, out-of-the-box thinking that" | | 12 | "She took a step closer," | | 13 | "Her voice was low, not" | | 14 | "He didn’t turn immediately." | | 15 | "She saw the slight tremor" | | 16 | "He took a slow sip," | | 17 | "His hazel eyes, once so" | | 18 | "Recognition flickered across his face," | | 19 | "The name was a rasp" |
| | ratio | 0.979 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 5 | | matches | | 0 | "she shot back, a ghost of her old wit surfacing" | | 1 | "he countered, his voice dropping to a near-whisper" | | 2 | "he said, his voice raw" | | 3 | "He looked down, unable to meet her eyes" | | 4 | "she said finally, her voice low but steady" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.172 | | leniency | 0.345 | | rawRatio | 0 | | effectiveRatio | 0 | |