| 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 | 1630 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 35.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1630 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "weight" | | 1 | "scanned" | | 2 | "tracing" | | 3 | "traced" | | 4 | "silk" | | 5 | "shattered" | | 6 | "flickered" | | 7 | "warmth" | | 8 | "trembled" | | 9 | "depths" | | 10 | "gloom" | | 11 | "calculated" | | 12 | "tension" | | 13 | "unspoken" | | 14 | "reminder" | | 15 | "pulse" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "let out a breath" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "let out a breath" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 144 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 144 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1630 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 76 | | wordCount | 1630 | | uniqueNames | 11 | | maxNameDensity | 1.41 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 23 | | Raven | 1 | | Nest | 1 | | Soho | 2 | | Cardiff | 2 | | Eva | 19 | | Taff | 1 | | Evan | 3 | | Silas | 5 | | London | 3 | | You | 16 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Eva" | | 3 | "Evan" | | 4 | "Silas" | | 5 | "You" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "London" |
| | globalScore | 0.794 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 101 | | glossingSentenceCount | 2 | | matches | | 0 | "as if trying to push back a migraine" | | 1 | "as if expecting the ghost they'd summoned to walk through it" |
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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 | 1630 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 144 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 37.91 | | std | 28.69 | | cv | 0.757 | | sampleLengths | | 0 | 104 | | 1 | 101 | | 2 | 1 | | 3 | 37 | | 4 | 5 | | 5 | 40 | | 6 | 4 | | 7 | 65 | | 8 | 6 | | 9 | 88 | | 10 | 19 | | 11 | 54 | | 12 | 23 | | 13 | 39 | | 14 | 14 | | 15 | 52 | | 16 | 25 | | 17 | 66 | | 18 | 41 | | 19 | 25 | | 20 | 38 | | 21 | 76 | | 22 | 8 | | 23 | 37 | | 24 | 6 | | 25 | 39 | | 26 | 28 | | 27 | 27 | | 28 | 36 | | 29 | 80 | | 30 | 8 | | 31 | 37 | | 32 | 17 | | 33 | 56 | | 34 | 3 | | 35 | 12 | | 36 | 20 | | 37 | 79 | | 38 | 3 | | 39 | 76 | | 40 | 11 | | 41 | 84 | | 42 | 40 |
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| 95.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 144 | | matches | | 0 | "get swallowed" | | 1 | "was gone" | | 2 | "was gone" | | 3 | "were filled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 284 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 144 | | ratio | 0.007 | | matches | | 0 | "The years between them weren't just empty space; they were filled with choices made in the dark, assumptions that hardened into stone, and the slow decay of trust." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1638 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 35 | | adverbRatio | 0.021367521367521368 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0018315018315018315 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 11.32 | | std | 7.64 | | cv | 0.675 | | sampleLengths | | 0 | 22 | | 1 | 22 | | 2 | 14 | | 3 | 12 | | 4 | 19 | | 5 | 15 | | 6 | 16 | | 7 | 21 | | 8 | 3 | | 9 | 17 | | 10 | 4 | | 11 | 13 | | 12 | 27 | | 13 | 1 | | 14 | 2 | | 15 | 14 | | 16 | 21 | | 17 | 5 | | 18 | 7 | | 19 | 8 | | 20 | 19 | | 21 | 6 | | 22 | 4 | | 23 | 12 | | 24 | 12 | | 25 | 13 | | 26 | 28 | | 27 | 6 | | 28 | 7 | | 29 | 14 | | 30 | 14 | | 31 | 20 | | 32 | 17 | | 33 | 16 | | 34 | 7 | | 35 | 7 | | 36 | 5 | | 37 | 9 | | 38 | 8 | | 39 | 12 | | 40 | 25 | | 41 | 5 | | 42 | 12 | | 43 | 2 | | 44 | 4 | | 45 | 15 | | 46 | 10 | | 47 | 4 | | 48 | 10 | | 49 | 5 |
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| 33.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 24 | | diversityRatio | 0.1736111111111111 | | totalSentences | 144 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 140 | | matches | (empty) | | ratio | 0 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 70 | | totalSentences | 140 | | matches | | 0 | "She pushed through the heavy" | | 1 | "Her blue eyes swept the" | | 2 | "Her face had shed the" | | 3 | "Her left hand tightened on" | | 4 | "She traced the small crescent-shaped" | | 5 | "You kept the hair shorter." | | 6 | "She reached for the gin," | | 7 | "I told you to come" | | 8 | "He polished a tumbler with" | | 9 | "His left leg shifted, the" | | 10 | "He didn't look up, but" | | 11 | "You told me you had" | | 12 | "You told me you had" | | 13 | "You didn't mention the wolves." | | 14 | "She leaned forward, the shadows" | | 15 | "I carved out the soft" | | 16 | "you kept the edges." | | 17 | "She didn't read it." | | 18 | "She used the action to" | | 19 | "You knew the difference." |
| | ratio | 0.5 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 132 | | totalSentences | 140 | | matches | | 0 | "The green neon hummed against" | | 1 | "She pushed through the heavy" | | 2 | "Maps of forgotten empires lined" | | 3 | "Rory shrugged off the weight" | | 4 | "Her blue eyes swept the" | | 5 | "The shoulders squared against the" | | 6 | "Rory stepped closer." | | 7 | "The light from the fixture" | | 8 | "The woman looked up." | | 9 | "Her face had shed the" | | 10 | "Her left hand tightened on" | | 11 | "She traced the small crescent-shaped" | | 12 | "You kept the hair shorter." | | 13 | "Rory slid into the booth" | | 14 | "The wood groaned under the" | | 15 | "Eva's gaze dropped to Rory's" | | 16 | "A muscle feathered in Eva's" | | 17 | "Eva's voice carried the faintest" | | 18 | "She reached for the gin," | | 19 | "A silver ring adorned her" |
| | ratio | 0.943 | |
| 35.71% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 140 | | matches | | 0 | "Now, sharp angles defined her" |
| | ratio | 0.007 | |
| 61.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 70 | | technicalSentenceCount | 8 | | matches | | 0 | "Eva's eyes flickered toward the sound, a reflex that spoke of high-strung nerves buried under layers of composure." | | 1 | "The memory of Evan's hand around her wrist flared hot, then cooled instantly into the cold calculation that had kept her alive this long." | | 2 | "She shifted her body, angling her torso away from the door, placing the table between herself and the exit." | | 3 | "You sent a one-way ticket and a key to a room that smells of stale yeast and damp plaster." | | 4 | "She leaned in, closing the gap, her voice dropping to a register that matched the low thrum of the neon sign outside." | | 5 | "She rubbed her temple, her fingers pressing into the skin as if trying to push back a migraine." | | 6 | "The unspoken regret hung in the air, thick as the smoke that used to fill their student union, a reminder of a path not taken that had led them both to this tab…" | | 7 | "The ink revealed a name, a date, and a line of numbers that made her pulse hammer against her veins." |
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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 | |