| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1494 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "deliberately" | | 3 | "slowly" |
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| 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) | |
| 46.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1494 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "pulsed" | | 1 | "familiar" | | 2 | "echoed" | | 3 | "echo" | | 4 | "weight" | | 5 | "silence" | | 6 | "rhythmic" | | 7 | "scanned" | | 8 | "fractured" | | 9 | "could feel" | | 10 | "pulse" | | 11 | "throbbed" |
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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 | 162 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 162 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 167 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 10 | | totalWords | 1506 | | ratio | 0.007 | | matches | | 0 | "Richmond Park. The stones between the oaks. Midnight. Come alone." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 1489 | | uniqueNames | 6 | | maxNameDensity | 0.54 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Richmond | 3 | | Park | 3 | | Heartstone | 1 | | Golden | 1 | | Empress | 1 | | Rory | 8 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.80% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.992 | | wordCount | 1506 | | matches | | 0 | "not crushed but displaced, as though the ground itself was flinching" | | 1 | "not immediately, but once you heard it, you couldn't unhear it" | | 2 | "not crushed, but arranged" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 167 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 31.38 | | std | 23.39 | | cv | 0.745 | | sampleLengths | | 0 | 10 | | 1 | 77 | | 2 | 62 | | 3 | 14 | | 4 | 76 | | 5 | 10 | | 6 | 22 | | 7 | 72 | | 8 | 25 | | 9 | 1 | | 10 | 30 | | 11 | 11 | | 12 | 5 | | 13 | 60 | | 14 | 66 | | 15 | 17 | | 16 | 24 | | 17 | 16 | | 18 | 41 | | 19 | 24 | | 20 | 35 | | 21 | 3 | | 22 | 39 | | 23 | 13 | | 24 | 4 | | 25 | 55 | | 26 | 70 | | 27 | 1 | | 28 | 63 | | 29 | 46 | | 30 | 47 | | 31 | 38 | | 32 | 4 | | 33 | 55 | | 34 | 52 | | 35 | 6 | | 36 | 56 | | 37 | 3 | | 38 | 27 | | 39 | 10 | | 40 | 33 | | 41 | 24 | | 42 | 34 | | 43 | 59 | | 44 | 9 | | 45 | 1 | | 46 | 45 | | 47 | 11 |
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| 94.43% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 162 | | matches | | 0 | "been worn" | | 1 | "was supposed" | | 2 | "was gone" | | 3 | "been pressed" | | 4 | "being displaced" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 247 | | matches | | 0 | "was flinching" | | 1 | "was arriving" | | 2 | "was waking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 167 | | ratio | 0.06 | | matches | | 0 | "She knew the landscape — the bent oaks, the swaths of bracken, the nocturnal cyclist paths strung with pale lamps." | | 1 | "She'd felt it before — three nights ago, standing in the alley behind the Golden Empress when a customer had come in speaking a language that made her teeth ache." | | 2 | "The time felt wrong — she'd left her flat at eleven, and Richmond Park was a twenty-minute ride." | | 3 | "The sounds of the city — distant sirens, the hum of the A3, the occasional bark of a dog — vanished." | | 4 | "The sound was wetter than before — less nail-on-glass, more knuckle-on-mud." | | 5 | "She noticed it the way you notice a song played in the wrong key — not immediately, but once you heard it, you couldn't unhear it." | | 6 | "Her hand shot out and found the bark of an oak — warm." | | 7 | "It had rhythm, a pattern she almost recognized — three beats, pause, two beats, pause, three beats — and then it fractured into something arrhythmic and desperate, like a trapped bird throwing itself against a window." | | 8 | "But the angle was wrong — the moon hung where it hadn't before, and the stones were behind her, yes, but also ahead of her, standing in a ring she hadn't noticed on the other side." | | 9 | "They ringed the clearing in concentric circles, and at the center of each circle, the flowers had been pressed flat — not crushed, but arranged." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1485 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.028282828282828285 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0047138047138047135 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 167 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 167 | | mean | 9.02 | | std | 8.29 | | cv | 0.919 | | sampleLengths | | 0 | 10 | | 1 | 26 | | 2 | 20 | | 3 | 6 | | 4 | 25 | | 5 | 7 | | 6 | 4 | | 7 | 2 | | 8 | 1 | | 9 | 24 | | 10 | 24 | | 11 | 7 | | 12 | 1 | | 13 | 1 | | 14 | 5 | | 15 | 10 | | 16 | 11 | | 17 | 30 | | 18 | 6 | | 19 | 19 | | 20 | 2 | | 21 | 5 | | 22 | 1 | | 23 | 2 | | 24 | 2 | | 25 | 2 | | 26 | 18 | | 27 | 4 | | 28 | 2 | | 29 | 4 | | 30 | 18 | | 31 | 5 | | 32 | 6 | | 33 | 33 | | 34 | 8 | | 35 | 17 | | 36 | 1 | | 37 | 10 | | 38 | 20 | | 39 | 2 | | 40 | 9 | | 41 | 5 | | 42 | 3 | | 43 | 16 | | 44 | 21 | | 45 | 20 | | 46 | 7 | | 47 | 17 | | 48 | 20 | | 49 | 22 |
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| 48.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3473053892215569 | | totalSentences | 167 | | uniqueOpeners | 58 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 127 | | matches | | 0 | "Just the note and the" | | 1 | "Then 12:01 AM." | | 2 | "Then 12:01 AM again." | | 3 | "Then started again." | | 4 | "Just the oaks and the" | | 5 | "Too small for a human" | | 6 | "Then, from the darkness between" |
| | ratio | 0.055 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 127 | | matches | | 0 | "She knew the landscape —" | | 1 | "She stopped her bike at" | | 2 | "Their surfaces had been worn" | | 3 | "She'd felt it before —" | | 4 | "She'd spent two days convincing" | | 5 | "She checked her phone." | | 6 | "She should have arrived earlier." | | 7 | "Her voice carried into the" | | 8 | "She stepped between the stones." | | 9 | "It thickened, took on weight," | | 10 | "She slid the phone back" | | 11 | "She took another step into" | | 12 | "She looked down and watched" | | 13 | "She could leave." | | 14 | "She scanned the treeline and" | | 15 | "She noticed it the way" | | 16 | "She tracked one with her" | | 17 | "Her heel caught on a" | | 18 | "Her hand shot out and" | | 19 | "She snatched her fingers back" |
| | ratio | 0.252 | |
| 85.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 127 | | matches | | 0 | "The standing stones rose from" | | 1 | "Rory had passed through Richmond" | | 2 | "She knew the landscape —" | | 3 | "The path she followed wasn't" | | 4 | "She stopped her bike at" | | 5 | "The stones were old." | | 6 | "Their surfaces had been worn" | | 7 | "The Heartstone pendant pulsed against" | | 8 | "A heartbeat that wasn't hers." | | 9 | "Rory pressed her fingers against" | | 10 | "The crimson glow was barely" | | 11 | "She'd felt it before —" | | 12 | "The pendant had burned then," | | 13 | "She'd spent two days convincing" | | 14 | "The stones between the oaks." | | 15 | "She checked her phone." | | 16 | "The time felt wrong —" | | 17 | "She should have arrived earlier." | | 18 | "The ride had felt longer," | | 19 | "The streets had seemed to" |
| | ratio | 0.748 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 127 | | matches | (empty) | | ratio | 0 | |
| 59.52% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 7 | | matches | | 0 | "The streets had seemed to stretch, the familiar landmarks of her neighborhood sitting just slightly askew, like furniture in a room rearranged by someone who di…" | | 1 | "The echo arrived a half-second late, as though something had caught it, held it, and released it with a shrug." | | 2 | "Wildflowers carpeted the ground in shades of white and violet that glowed under the moon like phosphorescence." | | 3 | "The wildflowers bent away from her boots, not crushed but displaced, as though the ground itself was flinching." | | 4 | "She tracked one with her eyes and watched it slide across the ground, slow as a minute hand, passing over flowers that wilted and blackened in its wake." | | 5 | "Soft petals brushed her ankles, her shins, clung to her jeans with a persistence that made her skin crawl." | | 6 | "Grinding against the earth like the hands of a clock that had been dead for centuries and was waking up." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |