| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 67 | | tagDensity | 0.209 | | leniency | 0.418 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2073 | | 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) | |
| 73.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2073 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "weight" | | 1 | "footsteps" | | 2 | "silence" | | 3 | "measured" | | 4 | "flicker" | | 5 | "unreadable" | | 6 | "pulsed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 110 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 110 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 161 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2098 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 65 | | wordCount | 1405 | | uniqueNames | 17 | | maxNameDensity | 1.57 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Tuesday | 1 | | Raven | 1 | | Nest | 1 | | Rory | 22 | | Silas | 7 | | Frith | 1 | | Street | 1 | | Arms | 1 | | Park | 1 | | Rees | 2 | | Portugal | 1 | | Megan | 21 | | Constitutional | 1 | | Law | 1 | | Stereophonics | 1 | | Nutella | 1 | | Friday | 1 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Rees" | | 3 | "Megan" |
| | places | | 0 | "Raven" | | 1 | "Frith" | | 2 | "Street" | | 3 | "Arms" | | 4 | "Park" | | 5 | "Portugal" | | 6 | "Constitutional" | | 7 | "Stereophonics" |
| | globalScore | 0.717 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 5 | | matches | | 0 | "quite kill it" | | 1 | "looked like someone about to laugh" | | 2 | "looked like someone who'd forgotten how" | | 3 | "looked like bruises" | | 4 | "not quite a laugh, not quite a sob, something native to the territory between" | | 5 | "not quite a sob, something native to the territory between" |
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| 57.01% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.43 | | wordCount | 2098 | | matches | | 0 | "not the pain itself but the memory of the shape pain had once occupied, like pressin" | | 1 | "not a sip, not a measured taste, but the kind of pull" | | 2 | "not a measured taste, but the kind of pull" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 161 | | matches | | 0 | "knew that voice" | | 1 | "understood that some" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 82 | | mean | 25.59 | | std | 24.32 | | cv | 0.95 | | sampleLengths | | 0 | 90 | | 1 | 20 | | 2 | 15 | | 3 | 2 | | 4 | 35 | | 5 | 10 | | 6 | 20 | | 7 | 56 | | 8 | 42 | | 9 | 12 | | 10 | 78 | | 11 | 2 | | 12 | 74 | | 13 | 24 | | 14 | 1 | | 15 | 1 | | 16 | 51 | | 17 | 19 | | 18 | 8 | | 19 | 3 | | 20 | 7 | | 21 | 4 | | 22 | 34 | | 23 | 3 | | 24 | 4 | | 25 | 33 | | 26 | 49 | | 27 | 4 | | 28 | 52 | | 29 | 2 | | 30 | 6 | | 31 | 4 | | 32 | 42 | | 33 | 21 | | 34 | 2 | | 35 | 4 | | 36 | 4 | | 37 | 100 | | 38 | 13 | | 39 | 5 | | 40 | 22 | | 41 | 59 | | 42 | 7 | | 43 | 38 | | 44 | 6 | | 45 | 80 | | 46 | 3 | | 47 | 49 | | 48 | 42 | | 49 | 48 |
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| 95.69% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 110 | | matches | | 0 | "been asked" | | 1 | "being asked" | | 2 | "were bitten " |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 220 | | matches | | 0 | "were recoiling" | | 1 | "was already building" | | 2 | "was testing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 161 | | ratio | 0.087 | | matches | | 0 | "Rory didn't turn — she'd learned that particular discipline from Silas himself, though he'd never said it outright." | | 1 | "The voice had a lift to it, a specific music — vowels that started in the chest and rose, the way people from the valleys spoke when they'd spent years sanding down the accent but couldn't quite kill it." | | 2 | "Not because it had aged — it had, the way all faces do, the softness around the jaw firming into something more deliberate — but because of what sat behind the eyes." | | 3 | "Not the way Megan wanted her to — neatly, chronologically, with the kind of emotional resolution that made for a good story at someone's kitchen table." | | 4 | "Rory felt the old architecture of it shift inside her chest — not the pain itself but the memory of the shape pain had once occupied, like pressing a tongue to the socket where a tooth used to be." | | 5 | "An indictment — self-directed, worn smooth from years of handling." | | 6 | "Rory looked at her old friend — at the expensive blazer and the careful hair and the dark-ringed eyes — and recognized something she'd seen in her own mirror two years ago." | | 7 | "A small gesture, but it mattered — the removal of a barrier, however thin." | | 8 | "A sound escaped Megan's throat — not quite a laugh, not quite a sob, something native to the territory between." | | 9 | "Or the cousin of envy — the grief of recognizing a freedom you'd traded away before you understood its value." | | 10 | "She picked up her gin and tonic and took a real drink — not a sip, not a measured taste, but the kind of pull that said the night had shifted into something unplanned." | | 11 | "The look he gave her was unreadable to anyone who didn't know him — but Rory did." | | 12 | "The black-and-white photographs on the wall behind Megan showed faces she didn't know — strangers at parties in decades past, mid-laugh, holding drinks, frozen in moments they'd probably forgotten by the next morning." | | 13 | "The nails were bitten — chewed ragged, the cuticles torn." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1400 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.029285714285714286 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.0064285714285714285 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 161 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 161 | | mean | 13.03 | | std | 11.02 | | cv | 0.846 | | sampleLengths | | 0 | 20 | | 1 | 25 | | 2 | 22 | | 3 | 23 | | 4 | 13 | | 5 | 7 | | 6 | 15 | | 7 | 2 | | 8 | 21 | | 9 | 11 | | 10 | 3 | | 11 | 10 | | 12 | 11 | | 13 | 9 | | 14 | 3 | | 15 | 18 | | 16 | 11 | | 17 | 24 | | 18 | 1 | | 19 | 23 | | 20 | 18 | | 21 | 12 | | 22 | 7 | | 23 | 39 | | 24 | 4 | | 25 | 28 | | 26 | 2 | | 27 | 21 | | 28 | 32 | | 29 | 10 | | 30 | 11 | | 31 | 7 | | 32 | 3 | | 33 | 14 | | 34 | 1 | | 35 | 1 | | 36 | 11 | | 37 | 32 | | 38 | 8 | | 39 | 19 | | 40 | 8 | | 41 | 3 | | 42 | 7 | | 43 | 4 | | 44 | 21 | | 45 | 11 | | 46 | 2 | | 47 | 3 | | 48 | 4 | | 49 | 11 |
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| 43.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3167701863354037 | | totalSentences | 161 | | uniqueOpeners | 51 | |
| 68.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 97 | | matches | | 0 | "Then she reached across the" | | 1 | "Somewhere in the back of" |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 97 | | matches | | 0 | "She sat at the far" | | 1 | "He didn't look up when" | | 2 | "He set the glass down" | | 3 | "His signet ring caught the" | | 4 | "He said it the way" | | 5 | "You pick up habits from" | | 6 | "She knew that voice." | | 7 | "She'd sat next to it" | | 8 | "Her lips parted." | | 9 | "Her hand, reaching for the" | | 10 | "His limp was barely perceptible" | | 11 | "Her gaze came back to" | | 12 | "She wasn't going to explain." | | 13 | "It wasn't fine." | | 14 | "Her jaw tightened" | | 15 | "She took a drink." | | 16 | "She turned on her stool" | | 17 | "She reached over and slid" | | 18 | "She looked at Megan and" | | 19 | "Her shoulders dropped half an" |
| | ratio | 0.268 | |
| 27.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 97 | | matches | | 0 | "The Tuesday crowd at The" | | 1 | "She sat at the far" | | 2 | "The green neon from the" | | 3 | "Silas polished a pint glass" | | 4 | "He didn't look up when" | | 5 | "He set the glass down" | | 6 | "His signet ring caught the" | | 7 | "He said it the way" | | 8 | "The door opened." | | 9 | "Rory didn't turn — she'd" | | 10 | "You pick up habits from" | | 11 | "A woman's heels, uneven on" | | 12 | "Rory tracked the sound to" | | 13 | "Rory's hand stopped halfway to" | | 14 | "The voice had a lift" | | 15 | "She knew that voice." | | 16 | "She'd sat next to it" | | 17 | "The woman four stools down" | | 18 | "Megan Rees had always looked" | | 19 | "The woman at the bar" |
| | ratio | 0.866 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 5.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 10 | | matches | | 0 | "You pick up habits from people who've spent lifetimes reading rooms." | | 1 | "A woman's heels, uneven on the warped floorboards, the kind of walk that said she wasn't used to the shoes or the neighborhood." | | 2 | "Her hand, reaching for the drink Silas was already building, froze in the air." | | 3 | "Not the way Megan wanted her to — neatly, chronologically, with the kind of emotional resolution that made for a good story at someone's kitchen table." | | 4 | "Megan Rees, who'd once shown up to a Constitutional Law exam in a Stereophonics t-shirt and flip-flops, who'd kept a jar of Nutella in her desk drawer and calle…" | | 5 | "At the other end of the bar, Silas busied himself with something behind the counter, his back turned, giving them the privacy of a man who understood that some …" | | 6 | "She picked up her gin and tonic and took a real drink — not a sip, not a measured taste, but the kind of pull that said the night had shifted into something unp…" | | 7 | "The look he gave her was unreadable to anyone who didn't know him — but Rory did." | | 8 | "She looked at Rory with an expression that held the full weight of every unanswered phone call, every birthday message sent into the void, every Friday night at…" | | 9 | "Silas had moved off again, a ghost with a limp and a cloth over his shoulder, leaving them to the fragile, terrifying work of two people deciding whether the br…" |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "He set, the wood creaking under his weight" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Megan repeated (repeat)" | | 1 | "Megan's voice flattened (flatten)" |
| | dialogueSentences | 67 | | tagDensity | 0.104 | | leniency | 0.209 | | rawRatio | 0.286 | | effectiveRatio | 0.06 | |