| 91.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 41 | | adverbTagCount | 6 | | adverbTags | | 0 | "me think more [more]" | | 1 | "- The unspoken regret: Bethan apologises indirectly [indirectly]" | | 2 | "Bethan's fingers tightened around [around]" | | 3 | "The words landed hard [hard]" | | 4 | "Bethan's composure cracked just [just]" | | 5 | "Rory pulled away [away]" |
| | dialogueSentences | 111 | | tagDensity | 0.369 | | leniency | 0.739 | | rawRatio | 0.146 | | effectiveRatio | 0.108 | |
| 88.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2557 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "perfectly" | | 1 | "carefully" | | 2 | "slightly" | | 3 | "gently" |
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| 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) | |
| 53.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2557 | | totalAiIsms | 24 | | found | | | highlights | | 0 | "unspoken" | | 1 | "tension" | | 2 | "weight" | | 3 | "output" | | 4 | "familiar" | | 5 | "silk" | | 6 | "silence" | | 7 | "traced" | | 8 | "whisper" | | 9 | "could feel" | | 10 | "pulse" |
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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 | 207 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 207 | | filterMatches | | | hedgeMatches | (empty) | |
| 98.40% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 273 | | gibberishSentences | 2 | | adjustedGibberishSentences | 2 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0.007 | | matches | | 0 | "<uncensored_condensed_outline>" | | 1 | "Let me write the complete scene now.</uncensored_condensed_outline>" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 2592 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 158 | | wordCount | 1862 | | uniqueNames | 30 | | maxNameDensity | 2.52 | | worstName | "Bethan" | | maxWindowNameDensity | 6.5 | | worstWindowName | "Bethan" | | discoveredNames | | Scrap | 1 | | Genre | 1 | | Two | 1 | | One | 3 | | Through | 2 | | Setting | 1 | | Raven | 5 | | Nest | 5 | | Characters | 1 | | Aurora | 6 | | Rory | 41 | | Silas | 7 | | Cardiff | 2 | | London | 2 | | Bethan | 47 | | Evan | 6 | | City | 1 | | British | 2 | | English | 2 | | Opening | 2 | | Physical | 1 | | Dialogue | 1 | | Quentin | 1 | | Subtext | 1 | | End | 1 | | Chinese | 1 | | Morgan | 1 | | Sancerre | 1 | | Ragged | 1 | | Let | 11 |
| | persons | | 0 | "One" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Aurora" | | 4 | "Rory" | | 5 | "Silas" | | 6 | "Bethan" | | 7 | "Evan" | | 8 | "Dialogue" | | 9 | "Quentin" | | 10 | "Morgan" |
| | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "City" | | 3 | "Chinese" |
| | globalScore | 0.238 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 130 | | glossingSentenceCount | 2 | | matches | | 0 | "as if handling a bomb - reveals she knows more than she should" | | 1 | "his attention seemingly elsewhere" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.772 | | wordCount | 2592 | | matches | | 0 | "not with a resolution but with a rupture - Bethan offers to \"help\" Rory with her situa" | | 1 | "not for anything specific but for \"how things turned out" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 273 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 114 | | mean | 22.74 | | std | 33.4 | | cv | 1.469 | | sampleLengths | | 0 | 295 | | 1 | 82 | | 2 | 48 | | 3 | 50 | | 4 | 25 | | 5 | 5 | | 6 | 37 | | 7 | 36 | | 8 | 53 | | 9 | 40 | | 10 | 21 | | 11 | 33 | | 12 | 10 | | 13 | 153 | | 14 | 24 | | 15 | 64 | | 16 | 40 | | 17 | 23 | | 18 | 3 | | 19 | 9 | | 20 | 14 | | 21 | 7 | | 22 | 14 | | 23 | 57 | | 24 | 1 | | 25 | 19 | | 26 | 8 | | 27 | 14 | | 28 | 38 | | 29 | 12 | | 30 | 8 | | 31 | 4 | | 32 | 22 | | 33 | 15 | | 34 | 22 | | 35 | 2 | | 36 | 2 | | 37 | 10 | | 38 | 2 | | 39 | 17 | | 40 | 32 | | 41 | 42 | | 42 | 7 | | 43 | 29 | | 44 | 7 | | 45 | 26 | | 46 | 2 | | 47 | 50 | | 48 | 57 | | 49 | 28 |
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| 98.48% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 207 | | matches | | 0 | "was practiced" | | 1 | "were manicured" | | 2 | "was buried" | | 3 | "was swallowed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 337 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 22 | | semicolonCount | 0 | | flaggedSentences | 15 | | totalSentences | 273 | | ratio | 0.055 | | matches | | 0 | "- Genre: literary fiction - Two old friends unexpectedly meet at a bar - One of them has \"changed significantly\" - interpretation: the changed person is the one writing from after they've done something morally questionable, the change is in their moral character." | | 1 | "- Setting: The Raven's Nest - Characters: Aurora (Rory) and Silas - wait, they're not old friends in the glossary." | | 2 | "No - the instructions say \"Use the codex entries above as your world reference for characters and setting.Only include the prose of the scene without any markdown or commentary.\" So I MUST use the codex characters." | | 3 | "The instruction is contradictory - it says use codex but the codex doesn't support the premise." | | 4 | "I'll treat the \"two old friends\" as a new element - perhaps they're characters I invent for this scene, but set in the Raven's Nest with Silas as a background character, or the scene is about Aurora running into an old friend." | | 5 | "The old friend - let's call her Bethan - has changed: she was a wild, rebellious artist type and now she's corporate, polished, \"sold out.\" Or vice versa - she was a good girl now she's jaded." | | 6 | "The regret is unspoken - that means it's never directly said but revealed through subtext." | | 7 | "If Rory is the POV, she could have changed - she fled an abusive relationship, moved to London, works a dead-end job, is hiding/laying low." | | 8 | "A woman walks in - refined, expensive, corporate - and locks eyes with her." | | 9 | "The tension mounts when Bethan mentions Rory's ex (Evan) - turns out Bethan now works at the firm that represented Evan's family in some legal matter." | | 10 | "The unspoken regret is Bethan's - she chose career over loyalty, buried evidence, looked the other way." | | 11 | "The scene ends not with a resolution but with a rupture - Bethan offers to \"help\" Rory with her situation, and Rory realizes the offer is hollow, a way for Bethan to ease her own guilt." | | 12 | "- Subtext: The way Bethan mentions Rory's past - delicately, as if handling a bomb - reveals she knows more than she should." | | 13 | "I think having Bethan be the changed one - from artist to corporate sellout who betrayed her principles - is strongest." | | 14 | "I'll handle it with sensitivity — focus on the emotional impact and the betrayal of friendship, not graphic details." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1839 | | adjectiveStacks | 1 | | stackExamples | | 0 | "past tense, active voice," |
| | adverbCount | 62 | | adverbRatio | 0.03371397498640565 | | lyAdverbCount | 27 | | lyAdverbRatio | 0.01468189233278956 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 273 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 273 | | mean | 9.49 | | std | 7.64 | | cv | 0.804 | | sampleLengths | | 0 | 1 | | 1 | 5 | | 2 | 43 | | 3 | 8 | | 4 | 15 | | 5 | 20 | | 6 | 7 | | 7 | 10 | | 8 | 17 | | 9 | 11 | | 10 | 36 | | 11 | 24 | | 12 | 13 | | 13 | 16 | | 14 | 42 | | 15 | 6 | | 16 | 9 | | 17 | 3 | | 18 | 9 | | 19 | 9 | | 20 | 7 | | 21 | 16 | | 22 | 37 | | 23 | 13 | | 24 | 15 | | 25 | 9 | | 26 | 14 | | 27 | 10 | | 28 | 8 | | 29 | 25 | | 30 | 5 | | 31 | 12 | | 32 | 8 | | 33 | 13 | | 34 | 4 | | 35 | 5 | | 36 | 1 | | 37 | 15 | | 38 | 14 | | 39 | 7 | | 40 | 1 | | 41 | 13 | | 42 | 8 | | 43 | 6 | | 44 | 8 | | 45 | 1 | | 46 | 26 | | 47 | 9 | | 48 | 17 | | 49 | 1 |
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| 42.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.30111524163568776 | | totalSentences | 269 | | uniqueOpeners | 81 | |
| 54.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 183 | | matches | | 0 | "Maybe the regret is about" | | 1 | "Actually, I just realized: the" | | 2 | "Actually, I need to make" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 183 | | matches | | 0 | "I should either ignore the" | | 1 | "I'll treat the as a" | | 2 | "She could run into an" | | 3 | "She's cool-headed and intelligent." | | 4 | "It's Bethan, her best friend" | | 5 | "She's engaged to a partner" | | 6 | "She's lost all her artistic" | | 7 | "I'll focus on:" | | 8 | "She used to chain-smoke roll-ups," | | 9 | "She married She's engaged to" | | 10 | "I need to aim for" | | 11 | "I think having Bethan be" | | 12 | "I need to start in" | | 13 | "Her hair was a sleek" | | 14 | "She crossed to the bar," | | 15 | "I need to continue this." | | 16 | "She handles for wealthy families." | | 17 | "She's engaged to a partner." | | 18 | "She doesn't paint anymore." | | 19 | "I need to flesh this" |
| | ratio | 0.175 | |
| 80.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 139 | | totalSentences | 183 | | matches | | 0 | "- Scrap the whole glossary." | | 1 | "The unspoken regret is about" | | 2 | "The glossary says Silas is" | | 3 | "I should either ignore the" | | 4 | "The instruction is contradictory -" | | 5 | "I'll treat the as a" | | 6 | "She could run into an" | | 7 | "That works perfectly." | | 8 | "Aurora is at the bar" | | 9 | "An old friend from Cardiff," | | 10 | "The old friend - let's" | | 11 | "The regret is unspoken -" | | 12 | "The changed person is the" | | 13 | "The who walks in could" | | 14 | "Rory studied pre-law, fled an" | | 15 | "She's cool-headed and intelligent." | | 16 | "A woman walks in -" | | 17 | "It's Bethan, her best friend" | | 18 | "She's engaged to a partner" | | 19 | "She's lost all her artistic" |
| | ratio | 0.76 | |
| 27.32% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 183 | | matches | | | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 2 | | matches | | 0 | "I think having Bethan be the changed one - from artist to corporate sellout who betrayed her principles - is strongest." | | 1 | "Patent heels that clicked against the floorboards like a metronome counting down to something unpleasant." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 41 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 2 | | fancyTags | | 0 | "The old friend - let's (let)" | | 1 | "Bethan laughed (laugh)" |
| | dialogueSentences | 111 | | tagDensity | 0.072 | | leniency | 0.144 | | rawRatio | 0.25 | | effectiveRatio | 0.036 | |