| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said quietly [quietly]" |
| | dialogueSentences | 54 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0.067 | | effectiveRatio | 0.037 | |
| 93.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1497 | | totalAiIsmAdverbs | 2 | | 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) | |
| 59.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1497 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "scanned" | | 1 | "silence" | | 2 | "weight" | | 3 | "traced" | | 4 | "calculating" | | 5 | "flicked" | | 6 | "tension" | | 7 | "chaotic" | | 8 | "shattered" |
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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 | 66 | | matches | (empty) | |
| 99.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 66 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1497 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 78 | | wordCount | 1059 | | uniqueNames | 11 | | maxNameDensity | 3.21 | | worstName | "Rory" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Friday-night | 1 | | London | 1 | | Silas | 6 | | Rory | 34 | | Marin | 1 | | Cardiff | 2 | | Eva | 27 | | Silence | 1 | | Soho | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Marin" | | 5 | "Eva" | | 6 | "Silence" |
| | places | | 0 | "London" | | 1 | "Cardiff" | | 2 | "Soho" |
| | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 66.40% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.336 | | wordCount | 1497 | | matches | | 0 | "Not towards Rory, towards the exit, but Rory saw her face in the mirror behind the bottles" | | 1 | "not with the neat precision of a bomb but with the chaotic violence of something heavy" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 105 | | matches | | 0 | "commands that cut" | | 1 | "ache that this" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 22.01 | | std | 18.47 | | cv | 0.839 | | sampleLengths | | 0 | 20 | | 1 | 6 | | 2 | 71 | | 3 | 3 | | 4 | 33 | | 5 | 2 | | 6 | 75 | | 7 | 34 | | 8 | 28 | | 9 | 14 | | 10 | 25 | | 11 | 1 | | 12 | 6 | | 13 | 67 | | 14 | 11 | | 15 | 35 | | 16 | 20 | | 17 | 17 | | 18 | 4 | | 19 | 21 | | 20 | 28 | | 21 | 4 | | 22 | 29 | | 23 | 39 | | 24 | 11 | | 25 | 6 | | 26 | 22 | | 27 | 20 | | 28 | 36 | | 29 | 2 | | 30 | 14 | | 31 | 17 | | 32 | 26 | | 33 | 33 | | 34 | 8 | | 35 | 47 | | 36 | 31 | | 37 | 7 | | 38 | 3 | | 39 | 18 | | 40 | 38 | | 41 | 60 | | 42 | 60 | | 43 | 5 | | 44 | 4 | | 45 | 10 | | 46 | 6 | | 47 | 1 | | 48 | 14 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 61.83% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 193 | | matches | | 0 | "was already speaking" | | 1 | "was walking" | | 2 | "was already moving" | | 3 | "was running" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 105 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1065 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.023474178403755867 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004694835680751174 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 14.26 | | std | 10.84 | | cv | 0.761 | | sampleLengths | | 0 | 20 | | 1 | 6 | | 2 | 22 | | 3 | 10 | | 4 | 39 | | 5 | 3 | | 6 | 33 | | 7 | 2 | | 8 | 29 | | 9 | 20 | | 10 | 26 | | 11 | 3 | | 12 | 31 | | 13 | 28 | | 14 | 14 | | 15 | 25 | | 16 | 1 | | 17 | 6 | | 18 | 15 | | 19 | 23 | | 20 | 29 | | 21 | 11 | | 22 | 27 | | 23 | 8 | | 24 | 12 | | 25 | 8 | | 26 | 14 | | 27 | 3 | | 28 | 4 | | 29 | 21 | | 30 | 17 | | 31 | 11 | | 32 | 4 | | 33 | 14 | | 34 | 15 | | 35 | 28 | | 36 | 11 | | 37 | 11 | | 38 | 2 | | 39 | 4 | | 40 | 15 | | 41 | 7 | | 42 | 3 | | 43 | 15 | | 44 | 2 | | 45 | 11 | | 46 | 25 | | 47 | 2 | | 48 | 14 | | 49 | 3 |
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| 55.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3619047619047619 | | totalSentences | 105 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 63 | | matches | | 0 | "Then she turned." | | 1 | "Then Eva smiled, small and" | | 2 | "Then she was walking away," |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 63 | | matches | | 0 | "She'd come for silence, not" | | 1 | "She'd gained weight in all" | | 2 | "She wore a coat that" | | 3 | "She hadn't seen Eva in" | | 4 | "She walked over, slow, her" | | 5 | "She signalled Silas with a" | | 6 | "His hazel eyes flicked between" | | 7 | "She gestured at Eva's coat," | | 8 | "She drank her wine in" | | 9 | "She gestured at herself, at" | | 10 | "She was in there, buried" | | 11 | "She pulled out her wallet," | | 12 | "She heard the crash before" | | 13 | "he roared, and Rory obeyed," | | 14 | "She broke free, scrambling over" |
| | ratio | 0.238 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 63 | | matches | | 0 | "Rory pressed her back against" | | 1 | "She'd come for silence, not" | | 2 | "The Raven's Nest hummed with" | | 3 | "Rory's fingers curled round a" | | 4 | "She'd gained weight in all" | | 5 | "She wore a coat that" | | 6 | "Rory's throat tightened." | | 7 | "She hadn't seen Eva in" | | 8 | "Eva stopped dead in the" | | 9 | "She walked over, slow, her" | | 10 | "Eva said, though her lips" | | 11 | "The name came out like" | | 12 | "Eva slid onto the stool" | | 13 | "She signalled Silas with a" | | 14 | "His hazel eyes flicked between" | | 15 | "Eva said, pouring wine with" | | 16 | "Rory touched her own face," | | 17 | "Eva swirled her glass, the" | | 18 | "Rory picked up her pint," | | 19 | "Silence pooled between them, thick" |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 11 | | matches | | 0 | "The Raven's Nest hummed with Friday-night desperation, bodies packed elbow-to-elbow, voices rising in that desperate London cadence that tried to outrun lonelin…" | | 1 | "Behind her, Silas pulled a pint with the economical grace of a man who'd learned patience in prison cells and war zones, his grey-streaked auburn hair catching …" | | 2 | "She'd gained weight in all the wrong places, her cheeks hollowed out, her dark hair chopped into an asymmetrical bob that reeked of expensive salons trying to l…" | | 3 | "Eva stopped dead in the doorway, letting the draft in, her gaze locking onto Rory's reflection with the precision of someone who'd been searching for this exact…" | | 4 | "She walked over, slow, her heels clicking a rhythm that made Rory's spine straighten." | | 5 | "Rory touched her own face, feeling the hollows beneath her eyes, the pallor of someone who delivered dim sum by day and studied law by flickering lamplight." | | 6 | "Rory turned to face her fully, taking in the sharp angles of Eva's jaw, the tension in her shoulders that spoke of years carrying weight Rory hadn't shared." | | 7 | "Rory studied her, searching for the girl who'd shared cigarettes on the university steps, who'd cried over failed exams and broken hearts with equal devastation…" | | 8 | "Silas was already moving, his limp forgotten, pulling Rory down behind the bar with hands that were suddenly iron." | | 9 | "She broke free, scrambling over the bar, glass crunching under her palms, and ran towards the door where Eva's coat disappeared into darkness, into the waiting …" | | 10 | "Rory stood in the wreckage, bleeding from a cut on her palm, watching the taillights vanish, knowing with a certainty that made her bones ache that this was not…" |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 3 | | matches | | 0 | "Eva said, though her lips hadn't moved, and Rory realised she was already speaking, already breaking" | | 1 | "Eva swirled, the ruby liquid catching light" | | 2 | "She gestured, her hair, her entire polished armour" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "he roared (roar)" | | 1 | "Rory screamed (scream)" |
| | dialogueSentences | 54 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0.333 | | effectiveRatio | 0.074 | |