| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.295 | | leniency | 0.591 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 7784 | | totalAiIsmAdverbs | 10 | | found | | | highlights | | 0 | "really" | | 1 | "completely" | | 2 | "slowly" | | 3 | "quickly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 31.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 7784 | | totalAiIsms | 106 | | found | | | highlights | | 0 | "shattered" | | 1 | "echoed" | | 2 | "warmth" | | 3 | "flicked" | | 4 | "silence" | | 5 | "flicker" | | 6 | "tension" | | 7 | "sanctuary" | | 8 | "weight" | | 9 | "throbbed" | | 10 | "flickered" | | 11 | "output" | | 12 | "ensure" | | 13 | "unspoken" | | 14 | "standard" | | 15 | "structure" |
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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 | 3 | | narrationSentences | 1495 | | matches | | 0 | "looked desperate" | | 1 | "looked desperate" | | 2 | "looked desperate" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 17 | | hedgeCount | 3 | | narrationSentences | 1495 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 1496 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 106 | | markdownWords | 1001 | | totalWords | 7832 | | ratio | 0.128 | | matches | | 0 | "Plan for Final Output:" | | 1 | "Drafting the Ending:" | | 2 | "Analyze the Request:" | | 3 | "Genre:" | | 4 | "Format:" | | 5 | "Length:" | | 6 | "Constraints:" | | 7 | "in medias res" | | 8 | "Specific Plot:" | | 9 | "Word Count:" | | 10 | "Constraint Check:" | | 11 | "Constraint Check:" | | 12 | "Drafting Plan:" | | 13 | "Setting:" | | 14 | "Characters:" | | 15 | "Opening:" | | 16 | "Middle:" | | 17 | "Climax:" | | 18 | "Ending:" | | 19 | "Word Count:" | | 20 | "Formatting:" | | 21 | "Adjectives:" | | 22 | "No Em-dashes:" | | 23 | "Refining the Scene:" | | 24 | "Start:" | | 25 | "Dialogue:" | | 26 | "Tension:" | | 27 | "Climax:" | | 28 | "Ending:" | | 29 | "Constraint Check:" | | 30 | "Constraint Check:" | | 31 | "Constraint Check:" | | 32 | "Constraint Check:" | | 33 | "Writing - Step-by-Step:" | | 34 | "Self-Correction:" | | 35 | "Constraint Check:" | | 36 | "Constraint Check:" | | 37 | "Constraint Check:" | | 38 | "Wait, I need to make sure I don't use markdown like bold or italics unless part of the prose?" | | 39 | "bold" | | 40 | "italics" | | 41 | "Wait, the prompt instructions say:" | | 42 | "text" | | 43 | "Wait, \"Use commas for asides instead\" of em-dashes." | | 44 | "Okay, proceed." | | 45 | "Wait, one more check on \"Only include the prose... without any markdown\". I will output raw text." | | 46 | "Wait, the prompt says \"Write a chapter\". I should label it Chapter 1? No, \"Only include the prose of the scene without any markdown or commentary.\" I will not include \"Chapter 1\" header." | | 47 | "Wait, \"MUST: Start each chapter in medias res\". This is Chapter 1." | | 48 | "Okay, starting now." | | 49 | "Wait, I need to make sure I don't accidentally use em-dashes. I will scan the output before finalizing." | | 50 | "Wait, the prompt says \"Write a chapter\". I should label it Chapter 1? No, \"Only include the prose of the scene without any markdown or commentary.\" I will not include \"Chapter 1\" header." | | 51 | "Wait, \"MUST: Start each chapter in medias res\". This is Chapter 1." | | 52 | "Okay, starting now." | | 53 | "Let's write." | | 54 | "Self-Correction during drafting): Ensure I don't use em-dashes. Check every line." | | 55 | "Ensure dialogue is on its own line." | | 56 | "Ensure no \"he thought\" or \"she wondered\". Show it through action." | | 57 | "Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing." | | 58 | "Wait, the prompt says \"Write a chapter\". I should label it Chapter 1? No, \"Only include the prose of the scene without any markdown or commentary.\" I will not include \"Chapter 1\" header." | | 59 | "Wait, \"MUST: Start each chapter in medias res\". This is Chapter 1." | | 60 | "Okay, starting now." | | 61 | "(Self-Correction during drafting): Ensure I don't use em-dashes. Check every line." | | 62 | "Ensure dialogue is on its own line." | | 63 | "Ensure no \"he thought\" or \"she wondered\". Show it through action." | | 64 | "Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing." | | 65 | "Wait, the prompt says \"Write a chapter\". I should label it Chapter 1? No, \"Only include the prose of the scene without any markdown or commentary.\" I will not include \"Chapter 1\" header." | | 66 | "Wait, \"MUST: Start each chapter in medias res\". This is Chapter 1." | | 67 | "Okay, starting now." | | 68 | "Let's write." | | 69 | "(Wait, one more check on \"Only include the prose... without any markdown\". I will output raw text.)" | | 70 | "(Wait, the prompt says \"Write a chapter\". I should label it Chapter 1? No, \"Only include the prose of the scene without any markdown or commentary.\" I will not include \"Chapter 1\" header.)" | | 71 | "Wait, \"MUST: Start each chapter in medias res\". This is Chapter 1." | | 72 | "Okay, starting now." | | 73 | "(Self-Correction during drafting): Ensure I don't use em-dashes. Check every line." | | 74 | "Ensure dialogue is on its own line." | | 75 | "Ensure no \"he thought\" or \"she wondered\". Show it through action." | | 76 | "Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing." | | 77 | "Wait, the prompt says \"Write a chapter\". I should label it Chapter 1? No, \"Only include the prose of the scene without any markdown or commentary.\" I will not include \"Chapter 1\" header." | | 78 | "Wait, \"MUST: Start each chapter in medias res\". This is Chapter 1." | | 79 | "Okay, starting now." | | 80 | "(Wait, one more check on \"Only include the prose... without any markdown\". I will output raw text.)" | | 81 | "(Wait, the prompt says \"Write a chapter\". I should label it Chapter 1? No, \"Only include the prose of the scene without any markdown or commentary.\" I will not include \"Chapter 1\" header.)" | | 82 | "Wait, \"MUST: Start each chapter in medias res\". This is Chapter 1." | | 83 | "Okay, starting now." | | 84 | "(Self-Correction during drafting): Ensure I don't use em-dashes. Check every line." | | 85 | "Ensure dialogue is on its own line." | | 86 | "Ensure no \"he thought\" or \"she wondered\". Show it through action." | | 87 | "Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing." | | 88 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 89 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 90 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 91 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 92 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 93 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 94 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 95 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 96 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 97 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 98 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 99 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 100 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 101 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 102 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 103 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 104 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" | | 105 | "(Wait, I need to make sure I don't use em-dashes. I will scan the output before finalizing.)" |
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| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 19 | | matches | | 0 | "Evan is dead, Marcus said." | | 1 | "You are not a police officer, Silas said." | | 2 | "You do not want her, Silas said." | | 3 | "Drink, she said." | | 4 | "Go, Silas said." | | 5 | "We are leaving, he said." | | 6 | "She is still here, Silas said." | | 7 | "Go, she said." | | 8 | "Evan is dead, Marcus said." | | 9 | "You are not a police officer, Silas said." | | 10 | "You do not want her, Silas said." | | 11 | "Drink, she said." | | 12 | "Go, Silas said." | | 13 | "We are leaving, he said." | | 14 | "She is still here, Silas said." | | 15 | "Drink, she said." | | 16 | "Go, Silas said." | | 17 | "We are leaving, he said." | | 18 | "She is still here, Silas said." |
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| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 521 | | wordCount | 7541 | | uniqueNames | 63 | | maxNameDensity | 1.11 | | worstName | "Rory" | | maxWindowNameDensity | 6 | | worstWindowName | "Wait" | | discoveredNames | | Rory | 84 | | Cardiff | 7 | | University | 2 | | Silas | 84 | | Evan | 4 | | Marcus | 66 | | Prague | 3 | | Final | 1 | | Shattering | 1 | | British | 3 | | English | 2 | | Okay | 10 | | Process | 1 | | Dark | 1 | | Literary | 1 | | Fiction | 1 | | Chapter | 15 | | Start | 4 | | End | 2 | | Use | 2 | | Flesch | 1 | | Royal | 2 | | Order | 2 | | Adjectives | 2 | | Active | 1 | | Show | 5 | | Dialogue | 4 | | Distinct | 1 | | Subtext | 2 | | Codex | 1 | | Aurora | 2 | | Blackwood | 1 | | Raven | 2 | | Nest | 2 | | Two | 1 | | Action-oriented | 1 | | Conversation | 1 | | Need | 1 | | Internal | 1 | | Monologue | 1 | | Media | 1 | | Res | 1 | | Cliffhanger | 2 | | Focus | 1 | | Ensure | 16 | | Let | 10 | | Optional | 1 | | Can | 1 | | Colour | 1 | | Does | 1 | | Example | 1 | | You | 55 | | People | 4 | | Silence | 9 | | One | 4 | | Drink | 6 | | Go | 4 | | Take | 3 | | Give | 3 | | Tomorrow | 3 | | Wait | 49 | | Open | 4 | | Check | 13 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Evan" | | 3 | "Marcus" | | 4 | "English" | | 5 | "Okay" | | 6 | "Start" | | 7 | "Show" | | 8 | "Codex" | | 9 | "Aurora" | | 10 | "Blackwood" | | 11 | "Raven" | | 12 | "Monologue" | | 13 | "Res" | | 14 | "Cliffhanger" | | 15 | "Let" | | 16 | "Optional" | | 17 | "Can" | | 18 | "Colour" | | 19 | "You" | | 20 | "People" | | 21 | "Silence" | | 22 | "One" | | 23 | "Check" |
| | places | | 0 | "Cardiff" | | 1 | "Prague" | | 2 | "Dark" | | 3 | "End" | | 4 | "Use" | | 5 | "Dialogue" | | 6 | "Conversation" | | 7 | "Media" | | 8 | "Ensure" | | 9 | "Take" |
| | globalScore | 0.943 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 436 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a man who had lost something" | | 1 | "looked like a man who had lost something" |
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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 | 7832 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 1496 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 771 | | mean | 10.16 | | std | 16.15 | | cv | 1.59 | | sampleLengths | | 0 | 52 | | 1 | 5 | | 2 | 12 | | 3 | 65 | | 4 | 4 | | 5 | 9 | | 6 | 34 | | 7 | 16 | | 8 | 8 | | 9 | 12 | | 10 | 60 | | 11 | 6 | | 12 | 3 | | 13 | 13 | | 14 | 4 | | 15 | 36 | | 16 | 11 | | 17 | 5 | | 18 | 3 | | 19 | 9 | | 20 | 5 | | 21 | 37 | | 22 | 3 | | 23 | 18 | | 24 | 36 | | 25 | 4 | | 26 | 38 | | 27 | 4 | | 28 | 12 | | 29 | 59 | | 30 | 8 | | 31 | 11 | | 32 | 14 | | 33 | 4 | | 34 | 5 | | 35 | 42 | | 36 | 7 | | 37 | 3 | | 38 | 4 | | 39 | 15 | | 40 | 13 | | 41 | 10 | | 42 | 14 | | 43 | 67 | | 44 | 8 | | 45 | 12 | | 46 | 4 | | 47 | 5 | | 48 | 32 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 1495 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 24 | | totalVerbs | 1657 | | matches | | 0 | "was hosting" | | 1 | "was really working" | | 2 | "was hunting" | | 3 | "was holding" | | 4 | "were coming" | | 5 | "were coming" | | 6 | "was bleeding" | | 7 | "was holding" | | 8 | "was holding" | | 9 | "was holding" | | 10 | "was holding" | | 11 | "was holding" | | 12 | "was hosting" | | 13 | "was really working" | | 14 | "was hunting" | | 15 | "was holding" | | 16 | "were coming" | | 17 | "were coming" | | 18 | "was bleeding" | | 19 | "was holding" | | 20 | "was holding" | | 21 | "was holding" | | 22 | "was holding" | | 23 | "was holding" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 1496 | | ratio | 0.002 | | matches | | 0 | "* **No Em-dashes:** I must scan for any `—`." | | 1 | "**Writing - Step-by-Step:**" | | 2 | "Example: \"Yes,\" she said, \"I know.\" (Instead of \"Yes,\" she said—\"I know.\")" |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 6935 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "small crescent-shaped scar" |
| | adverbCount | 129 | | adverbRatio | 0.018601297764960344 | | lyAdverbCount | 24 | | lyAdverbRatio | 0.003460706560922855 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 1496 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 1496 | | mean | 5.24 | | std | 2.95 | | cv | 0.564 | | sampleLengths | | 0 | 6 | | 1 | 18 | | 2 | 16 | | 3 | 12 | | 4 | 5 | | 5 | 2 | | 6 | 4 | | 7 | 6 | | 8 | 3 | | 9 | 20 | | 10 | 3 | | 11 | 1 | | 12 | 9 | | 13 | 17 | | 14 | 12 | | 15 | 4 | | 16 | 4 | | 17 | 5 | | 18 | 7 | | 19 | 10 | | 20 | 10 | | 21 | 3 | | 22 | 4 | | 23 | 4 | | 24 | 2 | | 25 | 10 | | 26 | 8 | | 27 | 9 | | 28 | 3 | | 29 | 14 | | 30 | 9 | | 31 | 12 | | 32 | 7 | | 33 | 8 | | 34 | 4 | | 35 | 6 | | 36 | 6 | | 37 | 3 | | 38 | 7 | | 39 | 6 | | 40 | 4 | | 41 | 4 | | 42 | 7 | | 43 | 6 | | 44 | 7 | | 45 | 4 | | 46 | 8 | | 47 | 6 | | 48 | 5 | | 49 | 5 |
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| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 467 | | diversityRatio | 0.07624831309041835 | | totalSentences | 1482 | | uniqueOpeners | 113 | |
| 49.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 20 | | totalSentences | 1358 | | matches | | 0 | "Too early to tell." | | 1 | "Then I found him." | | 2 | "Then he became a problem." | | 3 | "Then he looked at the" | | 4 | "Then you are useless." | | 5 | "Then I will kill you." | | 6 | "Then we die here." | | 7 | "Instead of the loop, I" | | 8 | "Too early to tell." | | 9 | "Then I found him." | | 10 | "Then he became a problem." | | 11 | "Then he looked at the" | | 12 | "Then you are useless." | | 13 | "Then he looked at the" | | 14 | "Then you are useless." | | 15 | "Then we die here." | | 16 | "Dimly lit, old maps." | | 17 | "Just plain text." | | 18 | "Just plain text." | | 19 | "Usually, prose can use italics." |
| | ratio | 0.015 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 834 | | totalSentences | 1358 | | matches | | 0 | "She did not look up" | | 1 | "You are breaking my glass." | | 2 | "I am cleaning it." | | 3 | "You just did the hard" | | 4 | "Her straight shoulder-length black hair" | | 5 | "He looked older." | | 6 | "His eyes were a cold" | | 7 | "They were the eyes of" | | 8 | "You look tired, Rory." | | 9 | "She leaned against the polished" | | 10 | "Her wrist caught the dim" | | 11 | "He noticed it." | | 12 | "He always noticed everything." | | 13 | "You were in Cardiff." | | 14 | "He smelled of expensive cologne" | | 15 | "He held a silver lighter" | | 16 | "He flicked it open." | | 17 | "You are working for Silas" | | 18 | "I am working." | | 19 | "He has a lot of" |
| | ratio | 0.614 | |
| 39.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 1142 | | totalSentences | 1358 | | matches | | 0 | "The glass shattered on the" | | 1 | "Rory kept her eyes on" | | 2 | "The noise echoed off the" | | 3 | "She did not look up" | | 4 | "You are breaking my glass." | | 5 | "I am cleaning it." | | 6 | "You just did the hard" | | 7 | "Rory turned then." | | 8 | "Her straight shoulder-length black hair" | | 9 | "He looked older." | | 10 | "The kind of sharp that" | | 11 | "His eyes were a cold" | | 12 | "They were the eyes of" | | 13 | "You look tired, Rory." | | 14 | "The shift is not done." | | 15 | "She leaned against the polished" | | 16 | "Her wrist caught the dim" | | 17 | "The small crescent-shaped scar stood" | | 18 | "He noticed it." | | 19 | "He always noticed everything." |
| | ratio | 0.841 | |
| 11.05% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 1358 | | matches | | 0 | "If he is the owner," | | 1 | "If the prompt says I" | | 2 | "However, to be safe on" |
| | ratio | 0.002 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 93 | | technicalSentenceCount | 1 | | matches | | 0 | "Pouring a drink, a glass breaking, or a handshake that's too long." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.045 | | leniency | 0.091 | | rawRatio | 0 | | effectiveRatio | 0 | |