| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1042 | | 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) | |
| 32.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1042 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulsed" | | 1 | "navigating" | | 2 | "chill" | | 3 | "perfect" | | 4 | "silence" | | 5 | "weight" | | 6 | "footsteps" | | 7 | "flickered" | | 8 | "whisper" | | 9 | "scanning" |
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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 | 100 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 100 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1048 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 1047 | | uniqueNames | 6 | | maxNameDensity | 0.76 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Gate | 1 | | Heartstone | 1 | | London | 1 | | Eva | 2 | | Rory | 8 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 32.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 3 | | matches | | 0 | "quite belong to either world" | | 1 | "spirals that seemed to drink the darkness" | | 2 | "something between honey and rot" |
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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 | 1048 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 24.95 | | std | 20.76 | | cv | 0.832 | | sampleLengths | | 0 | 35 | | 1 | 8 | | 2 | 57 | | 3 | 51 | | 4 | 45 | | 5 | 36 | | 6 | 45 | | 7 | 7 | | 8 | 3 | | 9 | 71 | | 10 | 12 | | 11 | 11 | | 12 | 47 | | 13 | 13 | | 14 | 5 | | 15 | 52 | | 16 | 6 | | 17 | 40 | | 18 | 1 | | 19 | 4 | | 20 | 53 | | 21 | 10 | | 22 | 8 | | 23 | 48 | | 24 | 12 | | 25 | 66 | | 26 | 10 | | 27 | 7 | | 28 | 35 | | 29 | 3 | | 30 | 19 | | 31 | 34 | | 32 | 12 | | 33 | 3 | | 34 | 8 | | 35 | 37 | | 36 | 4 | | 37 | 55 | | 38 | 3 | | 39 | 4 | | 40 | 35 | | 41 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 161 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 100 | | ratio | 0.05 | | matches | | 0 | "The park had been alive with night sounds minutes ago — foxes barking in the distance, the rustle of small creatures in the underbrush." | | 1 | "Wildflowers covered the ground — bluebells, cowslips, wood anemones — all of them pale and luminous in the absence of moonlight, as if they generated their own glow." | | 2 | "The change was immediate and subtle — a shift in pressure, like descending into deep water." | | 3 | "But the sensation lingered — the certainty that she'd caught a shape in her peripheral vision, tall and thin and wrong, standing between two of the standing stones." | | 4 | "Not the rustle of petals this time — something articulated, something shaped by a mouth." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1042 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02399232245681382 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003838771593090211 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 10.48 | | std | 9.08 | | cv | 0.866 | | sampleLengths | | 0 | 10 | | 1 | 4 | | 2 | 21 | | 3 | 8 | | 4 | 12 | | 5 | 26 | | 6 | 19 | | 7 | 10 | | 8 | 29 | | 9 | 6 | | 10 | 6 | | 11 | 12 | | 12 | 19 | | 13 | 5 | | 14 | 9 | | 15 | 8 | | 16 | 1 | | 17 | 8 | | 18 | 19 | | 19 | 1 | | 20 | 24 | | 21 | 20 | | 22 | 7 | | 23 | 3 | | 24 | 21 | | 25 | 22 | | 26 | 28 | | 27 | 12 | | 28 | 2 | | 29 | 9 | | 30 | 2 | | 31 | 1 | | 32 | 2 | | 33 | 2 | | 34 | 10 | | 35 | 30 | | 36 | 3 | | 37 | 1 | | 38 | 1 | | 39 | 8 | | 40 | 5 | | 41 | 16 | | 42 | 20 | | 43 | 16 | | 44 | 6 | | 45 | 2 | | 46 | 15 | | 47 | 14 | | 48 | 9 | | 49 | 1 |
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| 34.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.28 | | totalSentences | 100 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 80 | | matches | | 0 | "Instead she stood at the" | | 1 | "Just stones and flowers and" | | 2 | "Instead she stood in a" |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 80 | | matches | | 0 | "She pocketed the device and" | | 1 | "She had no good reason" | | 2 | "Her trainers squelched with each" | | 3 | "She'd walked this route twice" | | 4 | "She pushed forward." | | 5 | "She moved toward the center" | | 6 | "She turned her head slowly," | | 7 | "It sat solid and unmoving," | | 8 | "She stared at it for" | | 9 | "She took another step." | | 10 | "She looked down." | | 11 | "She was sure of it." | | 12 | "Her breath came faster now." | | 13 | "She forced herself to slow" | | 14 | "She'd thought there would be" | | 15 | "She turned in a slow" | | 16 | "She was not alone." | | 17 | "It had watched her step" | | 18 | "It had listened to her" | | 19 | "It had drawn her here" |
| | ratio | 0.263 | |
| 35.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 80 | | matches | | 0 | "Rory checked her phone as" | | 1 | "She pocketed the device and" | | 2 | "She had no good reason" | | 3 | "The grove had called to" | | 4 | "A pull she couldn't shake," | | 5 | "The pendant had pulsed hot" | | 6 | "The park lay dark and" | | 7 | "Street lamps pooled light along" | | 8 | "The grass was wet with" | | 9 | "Her trainers squelched with each" | | 10 | "She'd walked this route twice" | | 11 | "A hidden clearing marked by" | | 12 | "Isolde's grove, Eva called it." | | 13 | "A place that didn't quite" | | 14 | "The air changed when she" | | 15 | "Rory paused at the edge" | | 16 | "The park had been alive" | | 17 | "The pendant burned hot against" | | 18 | "She pushed forward." | | 19 | "The grove opened around her" |
| | ratio | 0.85 | |
| 62.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 80 | | matches | | 0 | "Now there was only the" |
| | ratio | 0.013 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 5 | | matches | | 0 | "A hidden clearing marked by ancient oaks, the standing stones that pushed up from the earth like old teeth." | | 1 | "Wildflowers covered the ground — bluebells, cowslips, wood anemones — all of them pale and luminous in the absence of moonlight, as if they generated their own …" | | 2 | "The anemones lay still, pressed flat beneath her trainers, but the petals of the flowers she hadn't touched rippled in waves, as though stirred by a breeze that…" | | 3 | "The pendant that had been warm ever since she found it pinned to her door three weeks ago, no note, no explanation, just a deep crimson gem on a silver chain th…" | | 4 | "Every petal in the grove closed simultaneously, curling inward, their bioluminescence snuffing out like candles doused by an unseen hand." |
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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 | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |