| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1235 | | totalAiIsmAdverbs | 2 | | 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) | |
| 19.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1235 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "footfall" | | 1 | "warmth" | | 2 | "pulsed" | | 3 | "weight" | | 4 | "echoed" | | 5 | "footsteps" | | 6 | "silence" | | 7 | "perfect" | | 8 | "pulse" | | 9 | "vibrated" | | 10 | "trembled" | | 11 | "measured" |
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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 | 210 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 210 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 210 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1235 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 6 | | matches | | 0 | "You are tracking a Hel portal signature, she whispered to the empty grove." | | 1 | "Time sits wrong here, she murmured." | | 2 | "Move forward, she told herself." | | 3 | "You are not dreaming, she said aloud." | | 4 | "Stop lying to yourself, she said." | | 5 | "You are not alone, she said." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1235 | | uniqueNames | 12 | | maxNameDensity | 0.32 | | worstName | "You" | | maxWindowNameDensity | 1 | | worstWindowName | "Stop" | | discoveredNames | | Heartstone | 1 | | Hel | 1 | | Park | 1 | | Cardiff | 1 | | Evan | 2 | | Pre-Law | 1 | | Silas | 1 | | London | 1 | | Wales | 1 | | November | 1 | | You | 4 | | Stop | 3 |
| | persons | | | places | | 0 | "Park" | | 1 | "Cardiff" | | 2 | "Silas" | | 3 | "London" | | 4 | "Wales" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.81 | | wordCount | 1235 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 210 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 53.7 | | std | 37.26 | | cv | 0.694 | | sampleLengths | | 0 | 92 | | 1 | 16 | | 2 | 123 | | 3 | 57 | | 4 | 13 | | 5 | 77 | | 6 | 4 | | 7 | 54 | | 8 | 11 | | 9 | 75 | | 10 | 67 | | 11 | 24 | | 12 | 78 | | 13 | 91 | | 14 | 30 | | 15 | 16 | | 16 | 70 | | 17 | 78 | | 18 | 4 | | 19 | 101 | | 20 | 21 | | 21 | 118 | | 22 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 210 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 228 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 210 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1239 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.026634382566585957 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004842615012106538 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 210 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 210 | | mean | 5.88 | | std | 4.74 | | cv | 0.807 | | sampleLengths | | 0 | 9 | | 1 | 15 | | 2 | 14 | | 3 | 7 | | 4 | 11 | | 5 | 25 | | 6 | 3 | | 7 | 1 | | 8 | 1 | | 9 | 6 | | 10 | 13 | | 11 | 3 | | 12 | 17 | | 13 | 5 | | 14 | 4 | | 15 | 21 | | 16 | 29 | | 17 | 4 | | 18 | 14 | | 19 | 29 | | 20 | 7 | | 21 | 17 | | 22 | 2 | | 23 | 5 | | 24 | 17 | | 25 | 3 | | 26 | 3 | | 27 | 3 | | 28 | 6 | | 29 | 3 | | 30 | 4 | | 31 | 7 | | 32 | 9 | | 33 | 6 | | 34 | 17 | | 35 | 2 | | 36 | 5 | | 37 | 7 | | 38 | 24 | | 39 | 4 | | 40 | 2 | | 41 | 4 | | 42 | 14 | | 43 | 2 | | 44 | 10 | | 45 | 6 | | 46 | 7 | | 47 | 3 | | 48 | 6 | | 49 | 5 |
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| 36.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 29 | | diversityRatio | 0.3 | | totalSentences | 210 | | uniqueOpeners | 63 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 175 | | matches | | 0 | "Just her touch." | | 1 | "Just her presence." | | 2 | "Only a narrow band of" | | 3 | "Only the faint impression of" | | 4 | "Only the dim red pulse" | | 5 | "Just a statement of fact." |
| | ratio | 0.034 | |
| 89.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 57 | | totalSentences | 175 | | matches | | 0 | "Her phone screen glowed white" | | 1 | "She kept the Heartstone pendant" | | 2 | "You are tracking a Hel" | | 3 | "Her voice bounced back thin" | | 4 | "She adjusted her coat collar." | | 5 | "She left Evan behind." | | 6 | "She left Pre-Law books stacked" | | 7 | "She came here because the" | | 8 | "Her fingers brushed a cluster" | | 9 | "She glanced at the wrist" | | 10 | "Her breath fogged the air," | | 11 | "She stepped away from the" | | 12 | "Her left boot caught on" | | 13 | "She steadied herself." | | 14 | "She counted her steps." | | 15 | "She reached into her pocket." | | 16 | "Her fingers closed around the" | | 17 | "She dropped the phone into" | | 18 | "She held her breath." | | 19 | "She pulled a handkerchief from" |
| | ratio | 0.326 | |
| 17.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 155 | | totalSentences | 175 | | matches | | 0 | "The oak standing stones leaned" | | 1 | "Rory stepped past the outer" | | 2 | "Her phone screen glowed white" | | 3 | "The compass needle spun lazily," | | 4 | "She kept the Heartstone pendant" | | 5 | "Warmth radiated through the silver" | | 6 | "The pendant pulsed." | | 7 | "A steady rhythm against her" | | 8 | "You are tracking a Hel" | | 9 | "Her voice bounced back thin" | | 10 | "She adjusted her coat collar." | | 11 | "Wind did not move." | | 12 | "The air stayed thick, heavy" | | 13 | "Richmond Park sat miles from" | | 14 | "She left Evan behind." | | 15 | "She left Pre-Law books stacked" | | 16 | "She came here because the" | | 17 | "Wildflowers breached the soil at" | | 18 | "Bluebells and foxgloves stood shoulder" | | 19 | "The stems bent without breaking." |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 175 | | matches | (empty) | | ratio | 0 | |
| 10.58% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 5 | | matches | | 0 | "Rory stepped past the outer ring, boots sinking into damp moss that swallowed each footfall." | | 1 | "Richmond Park sat miles from Cardiff, yet she followed a trail of misplaced coordinates and a letter from a faceless benefactor that arrived in her mailbox thre…" | | 2 | "Her fingers brushed a cluster of snowdrops that should have been buried under six inches of ice." | | 3 | "Only a narrow band of pale light filtered through the leaves, casting long shadows that stretched in directions the trees itself did not face." | | 4 | "Only the faint impression of bare feet, heels to toes, repeating in a perfect line that started ten yards ahead and did not end." |
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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 | |