| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 876 | | totalAiIsmAdverbs | 1 | | 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) | |
| 37.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 876 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "weight" | | 1 | "pulsed" | | 2 | "pulse" | | 3 | "silence" | | 4 | "warmth" | | 5 | "echo" | | 6 | "flicker" | | 7 | "whisper" | | 8 | "vibrated" | | 9 | "searing" |
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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 | 88 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 88 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 884 | | ratio | 0 | | matches | (empty) | |
| 41.67% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 1 | | matches | | 0 | "A trick of the light, she told herself." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 861 | | uniqueNames | 7 | | maxNameDensity | 0.93 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Rory | 8 | | Heartstone | 1 | | Eva | 1 | | February | 1 | | Hel | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "February" | | 3 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed longer than they had been a moment ago, reaching toward the clearing like grasping fingers" | | 1 | "looked like normal trees again, their bra" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 884 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 29.47 | | std | 19.91 | | cv | 0.676 | | sampleLengths | | 0 | 70 | | 1 | 50 | | 2 | 62 | | 3 | 8 | | 4 | 60 | | 5 | 37 | | 6 | 4 | | 7 | 50 | | 8 | 44 | | 9 | 18 | | 10 | 27 | | 11 | 8 | | 12 | 34 | | 13 | 8 | | 14 | 50 | | 15 | 10 | | 16 | 42 | | 17 | 6 | | 18 | 27 | | 19 | 6 | | 20 | 42 | | 21 | 39 | | 22 | 10 | | 23 | 36 | | 24 | 47 | | 25 | 32 | | 26 | 40 | | 27 | 14 | | 28 | 1 | | 29 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 88 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 134 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 92 | | ratio | 0.087 | | matches | | 0 | "The air smelled of wet earth and something else — wildflowers?" | | 1 | "Wildflowers bloomed in clusters — bluebells, foxgloves, something with white petals that glowed faintly in the dark." | | 2 | "One moment the park had been alive with the usual night sounds — distant traffic, wind in branches, the scurry of unseen creatures." | | 3 | "The trees beyond the stones looked wrong — their branches seemed longer than they had been a moment ago, reaching toward the clearing like grasping fingers." | | 4 | "But there — a flicker of movement to the right this time." | | 5 | "The breath had been real — she could still feel the ghost of it, the faint smell like crushed herbs and soil after rain." | | 6 | "The pendant was still cold, but now it vibrated — a low, barely perceptible hum that she felt through her fingers." | | 7 | "The night sounds returned in a rush — wind, traffic, a distant fox barking." |
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| 92.16% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 855 | | adjectiveStacks | 1 | | stackExamples | | 0 | "thick, pressing against her" |
| | adverbCount | 36 | | adverbRatio | 0.042105263157894736 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.00935672514619883 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 9.61 | | std | 7.31 | | cv | 0.76 | | sampleLengths | | 0 | 15 | | 1 | 32 | | 2 | 23 | | 3 | 20 | | 4 | 6 | | 5 | 3 | | 6 | 2 | | 7 | 19 | | 8 | 9 | | 9 | 15 | | 10 | 14 | | 11 | 11 | | 12 | 2 | | 13 | 11 | | 14 | 8 | | 15 | 24 | | 16 | 12 | | 17 | 17 | | 18 | 5 | | 19 | 2 | | 20 | 11 | | 21 | 26 | | 22 | 4 | | 23 | 23 | | 24 | 4 | | 25 | 2 | | 26 | 2 | | 27 | 19 | | 28 | 6 | | 29 | 26 | | 30 | 8 | | 31 | 4 | | 32 | 3 | | 33 | 15 | | 34 | 8 | | 35 | 14 | | 36 | 5 | | 37 | 8 | | 38 | 7 | | 39 | 1 | | 40 | 9 | | 41 | 12 | | 42 | 4 | | 43 | 1 | | 44 | 8 | | 45 | 8 | | 46 | 8 | | 47 | 12 | | 48 | 4 | | 49 | 18 |
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| 38.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.32608695652173914 | | totalSentences | 92 | | uniqueOpeners | 30 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 74 | | matches | | 0 | "Just the same too-green grass," | | 1 | "Only the faint phosphorescent glow" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 74 | | matches | | 0 | "She'd cycled from the restaurant" | | 1 | "She'd come because Eva had" | | 2 | "She pushed through, swearing under" | | 3 | "She stopped at the edge" | | 4 | "It should have been beautiful." | | 5 | "She pulled it out from" | | 6 | "She turned in a slow" | | 7 | "Her voice came out too" | | 8 | "She snapped her head to" | | 9 | "She spun, heart hammering." | | 10 | "She'd felt it warm near" | | 11 | "She whirled, fist raised, but" | | 12 | "Her hand shook as she" | | 13 | "It slid through the air" | | 14 | "She backed toward the stones," | | 15 | "She didn't turn." | | 16 | "She forced herself to breathe," | | 17 | "She dropped it with a" | | 18 | "She was back on the" | | 19 | "She looked back." |
| | ratio | 0.284 | |
| 34.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 74 | | matches | | 0 | "The night air in Richmond" | | 1 | "She'd cycled from the restaurant" | | 2 | "The Heartstone pendant pulsed warm" | | 3 | "She'd come because Eva had" | | 4 | "Rory needed answers about the" | | 5 | "The chain felt heavier tonight," | | 6 | "The path was overgrown, brambles" | | 7 | "She pushed through, swearing under" | | 8 | "The trees closed overhead, blocking" | | 9 | "The air smelled of wet" | | 10 | "The scent was impossibly sweet," | | 11 | "She stopped at the edge" | | 12 | "The standing stones rose from" | | 13 | "The clearing was perfectly circular," | | 14 | "Wildflowers bloomed in clusters —" | | 15 | "It should have been beautiful." | | 16 | "Rory stepped forward, and the" | | 17 | "She pulled it out from" | | 18 | "The silence hit first." | | 19 | "The air stood still, heavy" |
| | ratio | 0.851 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | 0 | "Now there was nothing." |
| | ratio | 0.014 | |
| 65.64% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 4 | | matches | | 0 | "The Heartstone pendant pulsed warm against her collarbone, a steady heartbeat that had grown insistent the closer she got to the hidden grove." | | 1 | "Wildflowers bloomed in clusters — bluebells, foxgloves, something with white petals that glowed faintly in the dark." | | 2 | "A wrongness that settled in her bones, that made her skin prickle with the certainty of being watched." | | 3 | "It slid through the air like smoke, curling around her ears, making her flinch." |
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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 | |