Run: 2026-07-09-01KX40Z1ZDYYSW4DDZZ0V7NME7

Run Details

Duration:
37.0s
Cost:
$0.046525
Provider:
OpenAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. 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. </instructions>

Model response

AI
Rain ticked against the windows of the Raven’s Nest and smeared the green neon into a sickly stain across the pavement outside. Aurora stood at the end of the bar with a delivery bag slumped beside her boots, peeling damp gloves from her hands. Silas polished the same tumbler he had held for the last minute. His silver signet ring caught the low amber light. “You looked like you rode through the Thames.” “Golden Empress sent me to Clerkenwell with soup. The customer had a fifth-floor walk-up and no lift.” “And did they tip?” Aurora dropped a few coins onto the counter. “Enough to insult me in three currencies.” Silas looked at the coins. “Generous.” “Yu-Fei gave me a bowl of noodles before I left. I’m not staging a mutiny.” “You’d make a poor revolutionary. Too practical.” “That’s what they always told the poor revolutionaries.” The front door opened, bringing in a blade of wet night and the smell of traffic. A man stepped beneath the green glow, shook rain from a dark coat, then paused with one hand still on the door. Aurora’s fingers tightened around her gloves. She knew the tilt of his head before she knew the rest of him. He had once walked through Cardiff University’s law building with that same impatient angle, as if every corridor had been built too narrow for his plans. He looked older. Not simply older. His face had sharpened around the mouth. A pale line cut through one eyebrow. His hair, once a mess of chestnut curls that fell into his eyes, sat clipped close to his scalp. His shoulders had filled the coat differently, broad and braced. He spotted her. For a moment neither moved. Then he let the door fall shut behind him. “Rory Carter.” She heard Cardiff in his voice, softened at the edges by years elsewhere. Aurora rested both palms on the bar. “Daniel Price.” Silas set the tumbler down. His hazel eyes travelled from Daniel to Aurora, took stock, then moved away with the careful courtesy of someone who had spent a lifetime listening without looking like he listened. Daniel came closer. Water shone on his coat collar. “I nearly walked past,” he said. “You did walk past. You stopped.” “That counts.” “It counted when we were twenty.” His mouth pulled into a shape that never became a smile. “You still kept score.” “You still arrived late.” Silas reached beneath the bar for a clean glass. “What did you drink, Mr Price?” Daniel glanced at the shelves, then at Aurora. “Whisky. Neat.” “Any preference?” “The cheap one.” Silas’s eyebrows rose by a fraction. Aurora watched Daniel take the stool beside hers. He sat with his back to the wall. Once, he had always chosen the seat nearest the door because he liked to leave before anyone else did. Now he chose it because he could see every corner of the room. Silas poured something dark and set it down. Daniel lifted the glass but did not drink. “I heard you were in London,” he said. “From whom?” “Eva Morgan.” Aurora’s jaw tightened. “Eva spoke to you?” “Two months ago. Station concourse in Bristol. She had a train to London, I had one to Bath. She told me you were alive.” “Very kind of her.” “She used different words.” “That sounds more like Eva.” Daniel looked at the delivery bag. The embroidered gold dragon on its side had begun to fray. “You delivered food now?” “I delivered food tonight.” “You were meant to become a barrister.” “I was meant to do a great many things.” His thumb ran along the rim of the whisky glass. “Your dad must have taken that well.” “You knew my dad.” “I knew enough.” “No. You knew the version I gave you in the library after three pints and a row with him over the phone.” Daniel lowered his eyes. Aurora turned to Silas. “Tea. Strong enough to remove paint.” Silas set a mug before her without a word. Steam rose against her face. She wrapped both hands around it, though the heat hurt her chilled fingers. Daniel took a swallow of whisky. His throat worked once. “I looked for you.” “No, you didn’t.” “I did.” “You sent two messages after you left.” “I sent more.” “Not to me.” He stared at the bar’s scarred wood. The old maps along the walls gathered dust in their frames. A naval chart of the Baltic leaned beside a faded street plan of Prague. Somewhere behind Aurora, a man fed coins into the jukebox and gave up when it refused to take them. Daniel nodded once. “My number changed.” “You knew where my parents lived.” “I went there.” Her mug stopped halfway to her mouth. “When?” “The summer after graduation.” Aurora set the mug down. Tea slid over the edge and made a dark crescent on the bar. “You went to my parents’ house.” “Your father answered.” “What did he say?” “He said you had made your choice.” Aurora gave a short laugh. “That was a polished version.” “He didn’t invite me in.” “He never invited anybody in.” Daniel looked towards the rain-blurred window. “I had a job lined up in Leeds,” he said. “I thought I’d be there a year. Save money. Come back. You’d still be in Cardiff, furious with everyone, buying coffee you couldn’t afford.” “You made it sound charming.” “It was.” “You left at six in the morning without telling me.” “I left a note.” “You left it inside a book in the library.” “I knew you’d find it.” “I found it three weeks later. Someone had shelved it under criminal procedure.” Daniel’s hand closed around his glass. “I was scared,” he said. The words landed between them with less force than Aurora expected. She had carried a version of that admission for years, polished it into a weapon, prepared answers for every possible excuse. Hearing it stripped bare made the weapon feel childish in her hand. “Of what?” she asked. “Of staying.” “You begged me to run away with you.” “I know.” “Then you ran alone.” “I know.” Silas moved to the far end of the bar, where two tourists argued over a card machine. His limp showed more when he turned, a small hitch in his left leg that he did not allow to become an apology. Daniel set his glass down. “You had Evan by then.” Aurora’s face went still. “You don’t get to say his name like you knew anything.” “I didn’t know enough.” “No. You knew nothing.” “Eva told me later.” “Eva told you.” “She told me you’d left Cardiff. She told me he’d hurt you.” Aurora’s left wrist had slipped from the sleeve of her jacket. The crescent scar near her pulse looked white against damp skin. She pulled the cuff down. “He was gone by then,” she said. “I should have been there.” “You weren’t there when it was easy.” Daniel’s gaze lifted to hers. “I know.” The anger had nowhere clean to go. It had survived on old stories, on delayed trains and unfamiliar beds and every time a stranger from Cardiff mentioned a pub Daniel once liked. It had kept its shape because he had not stood before her to disturb it. Now he sat close enough that Aurora could see a faint tremor in his left hand. “What happened to your eyebrow?” she asked. Daniel touched the scar without thinking. “Work.” “What work?” “Security.” “That sounded like a lie.” “It was a half-lie.” “Those were always your favourites.” He breathed through his nose. “I worked private contracts. Shipping firms at first. Then firms that didn’t like paperwork.” Aurora leaned back. “You became a mercenary?” “Nothing so glamorous.” “Daniel, you once cried because a tutor accused you of using a semicolon incorrectly.” “He was wrong.” “You did use it incorrectly.” “I was twenty-one.” “And now?” “Now I got paid to stand in rooms where people made worse decisions than punctuation.” The bar door opened again. A gust moved through the room, carrying cigarette smoke and wet wool. Aurora watched Daniel’s eyes flick to the newcomer’s hands, jacket, shoes, then return to her. “Does that work suit you?” she asked. “No.” “But you kept doing it.” “Yes.” “Why?” His thumb pressed against the glass until his knuckle whitened. “Because I was good at it.” Aurora’s expression shifted. “You were good at talking people into bad ideas.” “I was good at leaving before anyone could see I had none of my own.” The jukebox came alive at last, a thin old soul record crackling through the speakers. The singer’s voice filled the pauses they had left unguarded. Aurora looked at Daniel’s coat, the expensive stitching hidden beneath rain, the posture that never loosened. She remembered him in a borrowed red jumper, asleep over a stack of case law, his cheek pressed to a page he had marked with blue highlighter. He had wanted Parliament then. He had wanted speeches, reform, a name on a brass plate. “You hated men in suits,” she said. “I still did.” “You became one.” “I became someone they hired.” “That’s worse.” “I knew.” He took another drink. This time he finished the whisky. Silas appeared with the bottle and looked at Daniel’s empty glass. “No.” Daniel looked up. “No?” “You had enough for a conversation you might regret. No need to fund a speech you’ll regret more.” A flicker of the old Daniel surfaced then, quick and crooked. “Do you always run a bar like an interrogation room?” Silas leaned one elbow on the counter. “Only when somebody brought a weapon in.” Daniel glanced at Aurora. Silas did not smile. “Not you, son.” Aurora’s mouth twitched despite herself. Daniel noticed. The change in his face hurt more than it should have. “You lived upstairs?” he asked. “Yes.” “For how long?” “Long enough to learn which pipe screams before the water cuts out.” “You stayed in London all this time?” “I stayed.” The answer came out harder than she intended. Daniel heard it. “I deserved that,” he said. “You did.” “I didn’t know how to come back.” “You could have started with hello.” “I had no right to expect one.” “No. You didn’t.” Rain drummed harder against the glass. Outside, headlights passed in broken ribbons across the pavement. Daniel reached inside his coat and took out a business card. He held it between two fingers but did not offer it. “I was in London for work,” he said. “That ended tonight.” “Did you lose the job?” “I quit.” “Why?” He looked down at the card. Aurora could not read the print from where she sat. “A client wanted a young lad frightened into silence. Nothing complicated. A visit. A warning. The sort of thing I had spent years pretending was not what it was.” “And?” “And I walked out.” Aurora studied him. “That was unlike you.” “I spent years becoming unlike myself.” The record ended. Silence rushed in before the next song began. Daniel laid the card on the bar between them. “If you wanted to throw it away, I’d understand.” Aurora did not touch it. “If I called, what then?” “I answered.” “That’s not much of an offer.” “It was all I had that was honest.” Her tea had gone cold. She lifted the mug anyway, tasted tannin and rain from the air. “You don’t get to turn up after eight years and hand me a number like it fixes anything.” “I didn’t think it fixed anything.” “Then why bring it?” “Because I didn’t want to disappear again without giving you a choice.” Aurora looked at the card. A company name sat above a London number. His name beneath it looked strange in formal print, as though it belonged to another man. Silas collected Daniel’s empty glass and left the card where it lay. Daniel stood. His coat shifted open enough for Aurora to see an old burn mark at the base of his throat. “You were always smarter than me,” he said. Aurora looked up sharply. “Don’t do that.” “Do what?” “Turn this into a compliment. It was never a compliment when you did it before.” His face tightened. “You’re right.” “You used to say I was smarter when you wanted me to clean up your mess.” “I know.” “And then you’d make me laugh, and I’d forgive you because I was an idiot.” “You weren’t.” “I was.” “You were lonely.” Aurora rose from her stool. The room seemed to narrow around them. “Don’t tell me what I was.” Daniel took the blow without moving. “I was lonely too,” he said. “That didn’t stop you leaving.” “No.” For the first time since he walked in, he looked tired rather than guarded. It sat in the lines around his eyes, in the way one shoulder dipped beneath the coat. Aurora picked up the business card. She turned it over. The back was blank. “You came here because Eva told you I was alive?” “I came here because I walked past the sign and saw you through the window.” “And if you hadn’t?” “I’d have gone back to my hotel.” “Then you would have left.” “Yes.” The plainness of it stopped her. Daniel reached for the door. His hand rested on the handle. Aurora folded the card once and slipped it into her jacket pocket. “You still owe me twenty quid,” she said. Daniel looked over his shoulder. “For what?” “Second year. You borrowed it for train fare and spent it on chips and lager.” A small smile broke through at last, uncertain and real. “I had no train fare.” “You had an overdraft.” “I had principles.” “You had chips.” He nodded, rainlight catching in the scar above his brow. “I’ll bring it by.” “Bring forty. Interest.” Daniel opened the door. Cold air entered the bar. “Goodnight, Rory.” Aurora held his gaze. “Goodnight, Daniel.”
created_at"2026-07-09T18:06:45.236Z" 7/9/2026, 6:06:45 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency494
moderation_latency(null)
generation_time36879
tokens_prompt1094
tokens_completion3988
native_tokens_prompt982
native_tokens_completion2938
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.046525
router(null)
provider_responses
0
endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_0539d9078bfe4a4e016a4fe33551a481908b20c25c9944b2ce"
is_byokfalse
latency242
model_permaslug"openai/gpt-5.6-terra-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783620405-jocia9p01e00IX5ORZ0m"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620405-OV5q5S9uIfqKdqy6fhQR"
upstream_id"resp_0539d9078bfe4a4e016a4fe33551a481908b20c25c9944b2ce"
total_cost0.046525
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags15
adverbTagCount0
adverbTags(empty)
dialogueSentences181
tagDensity0.083
leniency0.166
rawRatio0
effectiveRatio0
95.68% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2315
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"sharply"
count1
highlights
0"very"
1"sharply"
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
84.88% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2315
totalAiIsms7
found
0
word"eyebrow"
count2
1
word"chilled"
count1
2
word"pulse"
count1
3
word"flicker"
count1
4
word"silence"
count2
highlights
0"eyebrow"
1"chilled"
2"pulse"
3"flicker"
4"silence"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences154
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences154
filterMatches
0"feel"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences320
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2315
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions35
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions88
wordCount1298
uniqueNames12
maxNameDensity2.47
worstName"Aurora"
maxWindowNameDensity4.5
worstWindowName"Daniel"
discoveredNames
Raven1
Nest1
Cardiff3
University1
Daniel31
Aurora32
Silas13
Baltic1
Prague1
Parliament1
Rain2
London1
persons
0"Raven"
1"University"
2"Daniel"
3"Aurora"
4"Silas"
5"Baltic"
6"Rain"
places
0"Cardiff"
1"Prague"
2"London"
globalScore0.267
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences92
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2315
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences320
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs251
mean9.22
std9.79
cv1.061
sampleLengths
044
121
28
317
44
515
66
715
87
98
1038
116
1240
1349
143
155
169
172
1813
197
202
2135
229
236
246
252
266
2715
284
299
306
3110
322
333
346
3548
368
378
388
392
402
417
4224
434
444
455
4617
474
484
497
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences154
matches
0"been built"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs234
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences320
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1299
adjectiveStacks1
stackExamples
0"white against damp skin."
adverbCount38
adverbRatio0.029253271747498075
lyAdverbCount4
lyAdverbRatio0.003079291762894534
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences320
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences320
mean7.23
std5.47
cv0.756
sampleLengths
022
122
212
39
48
517
64
78
87
95
101
1115
127
138
1416
1522
166
1714
1826
193
203
217
227
2319
2410
253
265
279
282
2913
307
312
325
3330
343
356
366
376
382
396
4011
414
424
439
446
458
462
472
483
496
45.94% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.203125
totalSentences320
uniqueOpeners65
72.99% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences137
matches
0"Then he let the door"
1"Once, he had always chosen"
2"Somewhere behind Aurora, a man"
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences137
matches
0"His silver signet ring caught"
1"She knew the tilt of"
2"He had once walked through"
3"He looked older."
4"His face had sharpened around"
5"His hair, once a mess"
6"His shoulders had filled the"
7"He spotted her."
8"She heard Cardiff in his"
9"His hazel eyes travelled from"
10"His mouth pulled into a"
11"He sat with his back"
12"His thumb ran along the"
13"She wrapped both hands around"
14"His throat worked once."
15"He stared at the bar’s"
16"Her mug stopped halfway to"
17"She had carried a version"
18"His limp showed more when"
19"She pulled the cuff down."
ratio0.285
0.15% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount126
totalSentences137
matches
0"Rain ticked against the windows"
1"Aurora stood at the end"
2"Silas polished the same tumbler"
3"His silver signet ring caught"
4"Aurora dropped a few coins"
5"Silas looked at the coins."
6"The front door opened, bringing"
7"A man stepped beneath the"
8"Aurora’s fingers tightened around her"
9"She knew the tilt of"
10"He had once walked through"
11"He looked older."
12"His face had sharpened around"
13"A pale line cut through"
14"His hair, once a mess"
15"His shoulders had filled the"
16"He spotted her."
17"She heard Cardiff in his"
18"Aurora rested both palms on"
19"Silas set the tumbler down."
ratio0.92
72.99% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences137
matches
0"Now he chose it because"
1"Now he sat close enough"
ratio0.015
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount2
matches
0"He had once walked through Cardiff University’s law building with that same impatient angle, as if every corridor had been built too narrow for his plans."
1"His hazel eyes travelled from Daniel to Aurora, took stock, then moved away with the careful courtesy of someone who had spent a lifetime listening without look…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags15
fancyCount0
fancyTags(empty)
dialogueSentences181
tagDensity0.083
leniency0.166
rawRatio0
effectiveRatio0
89.4432%