| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "she blinked fiercely [fiercely]" |
| | dialogueSentences | 62 | | tagDensity | 0.29 | | leniency | 0.581 | | rawRatio | 0.056 | | effectiveRatio | 0.032 | |
| 97.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1963 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 79.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1963 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "measured" | | 1 | "familiar" | | 2 | "eyebrow" | | 3 | "warmth" | | 4 | "silence" | | 5 | "stomach" | | 6 | "pulsed" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 122 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 122 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 167 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1979 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 28 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 78 | | wordCount | 1494 | | uniqueNames | 15 | | maxNameDensity | 1.81 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Ceri" | | discoveredNames | | Rory | 27 | | Raven | 1 | | Nest | 1 | | November | 1 | | Tuesday | 1 | | Morgan | 1 | | Ceri | 27 | | Talisker | 3 | | Grease | 1 | | Cardiff | 1 | | Splott | 1 | | Silas | 9 | | Soho | 1 | | Yu-Fei | 1 | | London | 2 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Morgan" | | 4 | "Ceri" | | 5 | "Grease" | | 6 | "Silas" |
| | places | | 0 | "Cardiff" | | 1 | "Splott" | | 2 | "Soho" | | 3 | "London" |
| | globalScore | 0.596 | | windowScore | 0.5 | |
| 89.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 2 | | matches | | 0 | "as though maintaining a shape that didn't come naturally" | | 1 | "looked like something she'd practised" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1979 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 167 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 78 | | mean | 25.37 | | std | 26 | | cv | 1.025 | | sampleLengths | | 0 | 59 | | 1 | 4 | | 2 | 45 | | 3 | 86 | | 4 | 29 | | 5 | 1 | | 6 | 18 | | 7 | 100 | | 8 | 1 | | 9 | 27 | | 10 | 8 | | 11 | 4 | | 12 | 36 | | 13 | 30 | | 14 | 5 | | 15 | 10 | | 16 | 33 | | 17 | 15 | | 18 | 8 | | 19 | 6 | | 20 | 39 | | 21 | 38 | | 22 | 3 | | 23 | 34 | | 24 | 109 | | 25 | 5 | | 26 | 14 | | 27 | 5 | | 28 | 5 | | 29 | 4 | | 30 | 33 | | 31 | 27 | | 32 | 32 | | 33 | 7 | | 34 | 1 | | 35 | 49 | | 36 | 1 | | 37 | 1 | | 38 | 26 | | 39 | 4 | | 40 | 48 | | 41 | 47 | | 42 | 5 | | 43 | 50 | | 44 | 6 | | 45 | 31 | | 46 | 3 | | 47 | 63 | | 48 | 20 | | 49 | 6 |
| |
| 93.76% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 122 | | matches | | 0 | "being asked" | | 1 | "been measured" | | 2 | "was blown" | | 3 | "been torn" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 252 | | matches | | 0 | "was reading" | | 1 | "were leaving" |
| |
| 40.21% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 167 | | ratio | 0.036 | | matches | | 0 | "But the face was the same underneath all of it — the pointed chin, the gap between her front teeth that she used to say made her look like a jack-o'-lantern but that Rory had always found disarming." | | 1 | "Between her and Ceri there had once been no space at all — shared lecture notes, shared hangovers, shared cigarettes on the fire escape of their hall of residence while Cardiff rain hammered the metal stairs." | | 2 | "\"That's what I said I'd do. You said we'd help people.\" She laughed, and this time it was genuine — wet and broken but genuine." | | 3 | "CERI MORGAN — PARTNER — HALDANE ROSS LLP." | | 4 | "Rory reached across the bar for a pen — Silas kept one next to the register — and pulled a paper napkin from the dispenser." | | 5 | "She could still smell Ceri's perfume — something expensive and deliberate, nothing like the cheap vanilla body spray from their university days." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1091 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.0384967919340055 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007332722273143905 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 167 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 167 | | mean | 11.85 | | std | 10.1 | | cv | 0.852 | | sampleLengths | | 0 | 28 | | 1 | 23 | | 2 | 8 | | 3 | 4 | | 4 | 12 | | 5 | 6 | | 6 | 27 | | 7 | 27 | | 8 | 5 | | 9 | 8 | | 10 | 25 | | 11 | 6 | | 12 | 15 | | 13 | 16 | | 14 | 13 | | 15 | 1 | | 16 | 4 | | 17 | 2 | | 18 | 12 | | 19 | 20 | | 20 | 29 | | 21 | 2 | | 22 | 11 | | 23 | 38 | | 24 | 1 | | 25 | 5 | | 26 | 22 | | 27 | 8 | | 28 | 4 | | 29 | 11 | | 30 | 19 | | 31 | 6 | | 32 | 21 | | 33 | 6 | | 34 | 3 | | 35 | 5 | | 36 | 10 | | 37 | 33 | | 38 | 5 | | 39 | 4 | | 40 | 6 | | 41 | 8 | | 42 | 6 | | 43 | 19 | | 44 | 9 | | 45 | 5 | | 46 | 6 | | 47 | 35 | | 48 | 3 | | 49 | 3 |
| |
| 46.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.32335329341317365 | | totalSentences | 167 | | uniqueOpeners | 54 | |
| 60.61% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 110 | | matches | | 0 | "Then Ceri's mouth opened and" | | 1 | "Then she buttoned her coat." |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 110 | | matches | | 0 | "He glanced at her, then" | | 1 | "Her cheeks stung from the" | | 2 | "She peeled open the rejected" | | 3 | "Her dark hair, once a" | | 4 | "She pulled out the stool" | | 5 | "She gave him a small" | | 6 | "He addressed Ceri." | | 7 | "He poured a measure of" | | 8 | "She hadn't touched it." | | 9 | "She didn't bother hiding it." | | 10 | "She stopped, laughed in a" | | 11 | "She said it the way" | | 12 | "She drank the Talisker in" | | 13 | "She pressed her thumb into" | | 14 | "Her thumbnail had gone white" | | 15 | "She wrapped both hands around" | | 16 | "She kept her face level." | | 17 | "She pressed her lips together" | | 18 | "She laughed, and this time" | | 19 | "She thought about Yu-Fei, who" |
| | ratio | 0.273 | |
| 23.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 110 | | matches | | 0 | "The delivery bag still hung" | | 1 | "Silas stood behind the bar" | | 2 | "He glanced at her, then" | | 3 | "Rory dropped onto a stool" | | 4 | "Her cheeks stung from the" | | 5 | "Silas set a glass of" | | 6 | "A Tuesday night, thin crowd." | | 7 | "A woman sat alone near" | | 8 | "Rory barely registered any of" | | 9 | "She peeled open the rejected" | | 10 | "The woman near the maps" | | 11 | "Rory reached for another piece" | | 12 | "Nobody called her that." | | 13 | "Rory looked up, and the" | | 14 | "Ceri Morgan stood three feet" | | 15 | "Her dark hair, once a" | | 16 | "A leather bag that probably" | | 17 | "Ceri repeated it like she" | | 18 | "She pulled out the stool" | | 19 | "Ceri had never waited for" |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 75.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 5 | | matches | | 0 | "He poured a measure of Talisker and set it in front of her, then moved away with the practised discretion that made Rory sometimes forget he'd ever been anythin…" | | 1 | "Ceri had been the one who'd said the law was a blunt instrument, that they'd sharpen it together, that they'd open a practice in Splott and represent people who…" | | 2 | "The way Ceri sat with her spine unnaturally straight, shoulders pulled back, as though maintaining a shape that didn't come naturally." | | 3 | "The woman who'd mastered corporate litigation at thirty-one sat in a Soho bar fighting for composure with the same ferocity she'd once reserved for arguing abou…" | | 4 | "She thought about Yu-Fei, who paid her in cash and leftover dumplings and asked no questions." |
| |
| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "she blinked fiercely, as though angry at the tears for materialising" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "Ceri repeated (repeat)" | | 1 | "She pressed (press)" | | 2 | "She laughed (laugh)" |
| | dialogueSentences | 62 | | tagDensity | 0.161 | | leniency | 0.323 | | rawRatio | 0.3 | | effectiveRatio | 0.097 | |