| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1745 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 68.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1745 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulse" | | 1 | "silence" | | 2 | "tracing" | | 3 | "resolved" | | 4 | "throb" | | 5 | "whisper" | | 6 | "perfect" | | 7 | "vibrated" |
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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 | 213 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 213 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 239 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1743 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1589 | | uniqueNames | 14 | | maxNameDensity | 2.01 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Golden | 1 | | Empress | 1 | | Heartstone | 5 | | Pendant | 1 | | Eva | 3 | | Charing | 1 | | Cross | 1 | | Southwark | 1 | | Hel | 1 | | Rory | 32 | | Cardiff | 1 | | Click | 5 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "Click" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "Southwark" | | 4 | "Cardiff" |
| | globalScore | 0.493 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 127 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared beyond the trunk" |
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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 | 1743 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 239 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 160 | | mean | 10.89 | | std | 11.88 | | cv | 1.09 | | sampleLengths | | 0 | 10 | | 1 | 16 | | 2 | 74 | | 3 | 8 | | 4 | 6 | | 5 | 6 | | 6 | 5 | | 7 | 39 | | 8 | 15 | | 9 | 14 | | 10 | 42 | | 11 | 9 | | 12 | 7 | | 13 | 1 | | 14 | 10 | | 15 | 32 | | 16 | 19 | | 17 | 3 | | 18 | 4 | | 19 | 4 | | 20 | 10 | | 21 | 10 | | 22 | 5 | | 23 | 1 | | 24 | 7 | | 25 | 1 | | 26 | 4 | | 27 | 9 | | 28 | 39 | | 29 | 7 | | 30 | 13 | | 31 | 2 | | 32 | 7 | | 33 | 3 | | 34 | 12 | | 35 | 27 | | 36 | 5 | | 37 | 8 | | 38 | 23 | | 39 | 6 | | 40 | 5 | | 41 | 6 | | 42 | 1 | | 43 | 7 | | 44 | 10 | | 45 | 6 | | 46 | 7 | | 47 | 63 | | 48 | 5 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 213 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 247 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 239 | | ratio | 0.004 | | matches | | 0 | "Wildflowers crowded her boots—bluebells, poppies, foxgloves, white blooms she could not name—each open beneath the moon." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1596 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.02819548872180451 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0018796992481203006 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 239 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 239 | | mean | 7.29 | | std | 5.22 | | cv | 0.716 | | sampleLengths | | 0 | 10 | | 1 | 9 | | 2 | 1 | | 3 | 2 | | 4 | 4 | | 5 | 18 | | 6 | 18 | | 7 | 24 | | 8 | 2 | | 9 | 2 | | 10 | 10 | | 11 | 8 | | 12 | 6 | | 13 | 6 | | 14 | 5 | | 15 | 13 | | 16 | 21 | | 17 | 5 | | 18 | 1 | | 19 | 2 | | 20 | 12 | | 21 | 5 | | 22 | 9 | | 23 | 17 | | 24 | 10 | | 25 | 4 | | 26 | 11 | | 27 | 9 | | 28 | 7 | | 29 | 1 | | 30 | 10 | | 31 | 32 | | 32 | 9 | | 33 | 10 | | 34 | 3 | | 35 | 4 | | 36 | 4 | | 37 | 10 | | 38 | 6 | | 39 | 2 | | 40 | 2 | | 41 | 5 | | 42 | 1 | | 43 | 7 | | 44 | 1 | | 45 | 4 | | 46 | 9 | | 47 | 6 | | 48 | 4 | | 49 | 9 |
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| 44.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3025210084033613 | | totalSentences | 238 | | uniqueOpeners | 72 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 183 | | matches | | 0 | "Just wet bark and blunt" | | 1 | "Too small to belong to" | | 2 | "Then came the soft scrape" | | 3 | "Then Rory heard a whisper" | | 4 | "Then the next." | | 5 | "Only her eyes showed." |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 183 | | matches | | 0 | "Her phone marked the time" | | 1 | "They rose from the earth" | | 2 | "Her voice carried past the" | | 3 | "It did not come back." | | 4 | "She had deleted the message." | | 5 | "It had returned before she" | | 6 | "She held down the button" | | 7 | "She had heard nothing." | | 8 | "She played it back." | | 9 | "She paused the message." | | 10 | "Its screen shone across empty" | | 11 | "She stared at her own" | | 12 | "She picked it up by" | | 13 | "She wiped the mark on" | | 14 | "Its pulse came once, strong" | | 15 | "She had worn the Heartstone" | | 16 | "It had heated only twice" | | 17 | "She had learnt enough since" | | 18 | "She stepped between the oaks." | | 19 | "Her words vanished under the" |
| | ratio | 0.224 | |
| 69.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 143 | | totalSentences | 183 | | matches | | 0 | "Aurora reached the oak boundary" | | 1 | "Her phone marked the time" | | 2 | "London stained the far clouds" | | 3 | "They rose from the earth" | | 4 | "Rory slipped her phone into" | | 5 | "Her voice carried past the" | | 6 | "It did not come back." | | 7 | "The message had arrived at" | | 8 | "She had deleted the message." | | 9 | "It had returned before she" | | 10 | "The crimson stone itself gave" | | 11 | "Rory took out her phone" | | 12 | "The call failed before the" | | 13 | "She held down the button" | | 14 | "The waveform crawled across the" | | 15 | "Rory stopped recording." | | 16 | "She had heard nothing." | | 17 | "She played it back." | | 18 | "A click sounded behind the" | | 19 | "She paused the message." |
| | ratio | 0.781 | |
| 27.32% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 183 | | matches | | 0 | "Now the pendant rested under" |
| | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 1 | | matches | | 0 | "No number, no sender, only an address that led nowhere and a photograph of the Heartstone Pendant lying against bare skin." |
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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 | |