| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 85.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1769 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slightly" | | 2 | "quickly" | | 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) | |
| 54.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1769 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "velvet" | | 1 | "perfect" | | 2 | "pulsed" | | 3 | "scanned" | | 4 | "pulse" | | 5 | "scanning" | | 6 | "measured" | | 7 | "warmth" | | 8 | "quickened" | | 9 | "flicker" | | 10 | "silence" | | 11 | "vibrated" | | 12 | "stomach" |
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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 | 191 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 191 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 191 | | 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 | 1769 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 87.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1769 | | uniqueNames | 8 | | maxNameDensity | 1.24 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 1 | | Eva | 4 | | Heartstone | 2 | | Pendant | 2 | | Cardiff | 1 | | London | 1 | | Aurora | 22 |
| | persons | | 0 | "Eva" | | 1 | "Pendant" | | 2 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 0.878 | | windowScore | 1 | |
| 13.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 128 | | glossingSentenceCount | 7 | | matches | | 0 | "felt like the only place left that had" | | 1 | "seemed thicker where the moonlight tried to reach them" | | 2 | "appeared shorter than it should have" | | 3 | "seemed smaller the circle of oaks drawn inward by inches" | | 4 | "as though testing the surface from below" | | 5 | "appeared smaller the ring of oaks visibly closer together than when she had arrived" | | 6 | "e ring of oaks visibly closer together tha" | | 7 | "not quite formed but clearly humanoid" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.565 | | wordCount | 1769 | | matches | | 0 | "not quite formed but clearly humanoid" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 191 | | matches | (empty) | |
| 8.12% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 93.11 | | std | 16.61 | | cv | 0.178 | | sampleLengths | | 0 | 98 | | 1 | 127 | | 2 | 64 | | 3 | 100 | | 4 | 74 | | 5 | 90 | | 6 | 97 | | 7 | 118 | | 8 | 85 | | 9 | 77 | | 10 | 114 | | 11 | 91 | | 12 | 100 | | 13 | 70 | | 14 | 100 | | 15 | 102 | | 16 | 80 | | 17 | 107 | | 18 | 75 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 191 | | matches | | 0 | "been scrubbed" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 288 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 191 | | ratio | 0.005 | | matches | | 0 | "A small rectangular stone lay half-buried in the moss; it had not been there moments earlier." |
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| 92.56% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1773 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 86 | | adverbRatio | 0.048505358150028204 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.011844331641285956 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 191 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 191 | | mean | 9.26 | | std | 5.6 | | cv | 0.605 | | sampleLengths | | 0 | 15 | | 1 | 21 | | 2 | 32 | | 3 | 2 | | 4 | 21 | | 5 | 7 | | 6 | 7 | | 7 | 20 | | 8 | 7 | | 9 | 3 | | 10 | 7 | | 11 | 18 | | 12 | 5 | | 13 | 23 | | 14 | 3 | | 15 | 19 | | 16 | 15 | | 17 | 8 | | 18 | 16 | | 19 | 3 | | 20 | 2 | | 21 | 11 | | 22 | 9 | | 23 | 5 | | 24 | 5 | | 25 | 5 | | 26 | 14 | | 27 | 17 | | 28 | 8 | | 29 | 21 | | 30 | 2 | | 31 | 15 | | 32 | 13 | | 33 | 10 | | 34 | 13 | | 35 | 7 | | 36 | 7 | | 37 | 24 | | 38 | 3 | | 39 | 4 | | 40 | 2 | | 41 | 14 | | 42 | 13 | | 43 | 2 | | 44 | 6 | | 45 | 16 | | 46 | 2 | | 47 | 5 | | 48 | 7 | | 49 | 20 |
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| 42.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.20418848167539266 | | totalSentences | 191 | | uniqueOpeners | 39 | |
| 74.49% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 179 | | matches | | 0 | "Somewhere to her left, leaves" | | 1 | "Even the distant traffic of" | | 2 | "Then a third." | | 3 | "Instead she faced the direction" |
| | ratio | 0.022 | |
| 76.98% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 64 | | totalSentences | 179 | | matches | | 0 | "She had entered Richmond Park" | | 1 | "She had repeated the name" | | 2 | "Its crimson centre flared once" | | 3 | "It had arrived three days" | | 4 | "She needed answers." | | 5 | "She needed to know why" | | 6 | "She kept walking, boots pressing" | | 7 | "She pushed through, jaw tight." | | 8 | "She stepped between two of" | | 9 | "She pulled it out on" | | 10 | "She did not know what" | | 11 | "Her pulse hammered in her" | | 12 | "She saw nothing except the" | | 13 | "She took another step forward," | | 14 | "She crossed the centre of" | | 15 | "Her breath fogged in the" | | 16 | "She reached the opposite edge" | | 17 | "She could not tell which." | | 18 | "She turned in a slow" | | 19 | "It resembled breathing, slow and" |
| | ratio | 0.358 | |
| 13.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 160 | | totalSentences | 179 | | matches | | 0 | "Aurora froze mid-step on the" | | 1 | "The path she followed barely" | | 2 | "She had entered Richmond Park" | | 3 | "She had repeated the name" | | 4 | "The Heartstone Pendant warmed against" | | 5 | "Its crimson centre flared once" | | 6 | "Eva’s note had mentioned the" | | 7 | "It had arrived three days" | | 8 | "The note had followed later." | | 9 | "Aurora turned the scrap of" | | 10 | "She needed answers." | | 11 | "She needed to know why" | | 12 | "The grove felt like the" | | 13 | "A low breeze moved through" | | 14 | "The sound came in short" | | 15 | "Aurora paused again." | | 16 | "She kept walking, boots pressing" | | 17 | "The undergrowth thickened without warning." | | 18 | "Twigs caught at her sleeves." | | 19 | "She pushed through, jaw tight." |
| | ratio | 0.894 | |
| 27.93% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 179 | | matches | | 0 | "Now she wished she had" |
| | ratio | 0.006 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 81 | | technicalSentenceCount | 9 | | matches | | 0 | "She had repeated the name to two different park keepers and one confused cyclist who had shrugged and pointed vaguely north." | | 1 | "Ancient oaks stood in a rough circle, their trunks grey under the silver moonlight that filtered down." | | 2 | "Wildflowers, impossible in late autumn, dotted the moss in tiny white and yellow blooms that looked too perfect to be real." | | 3 | "One of the flowers near her right boot had lifted slightly, as though something beneath the moss had shifted it." | | 4 | "The moss gave slightly under each footstep, releasing a faint earthy scent that reminded her of the small garden her mother had kept in Cardiff." | | 5 | "A single white flower near her left foot lifted on its stem as if lifted by an invisible finger." | | 6 | "The bark felt strangely smooth, as though countless hands had worn it down." | | 7 | "The arm-shaped pressure moved slowly, as though testing the surface from below." | | 8 | "In the sudden quiet, Aurora heard the first low note of a voice that was not her own." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |