Run: 2026-09-03-01M1KXK8HW7YK6SKFBGMWZGSEK

Run Details

Duration:
3m 1s
Cost:
$0.023267
Provider:
Reka

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
The green neon over the entrance in Soho had a dead letter, and the buzzing made the rain sound closer. Aurora Carter pushed the door of The Raven’s Nest open with her hip. The paper bag from Golden Empress slapped her thigh. The air inside was thick with woodsmoke and orange peel. Maps hung on the walls, their edges curling. Black-and-white photographs showed streets she did not know. A man stood at the far end of the bar, one hand flat on the wood, the other holding a glass he did not drink from. His hair had gone grey at the temples, and the auburn showed through like rust under paint. His beard lay close to his jaw. The silver ring on his right hand caught the low light. He turned. His left foot dragged a half-beat behind his right. “Rory.” She set the paper bag on the floor. The bottles inside shifted. “Si.” He moved away from the bar. The movement was clean until his knee buckled. He steadied himself on the back of a chair. “You found a new name for me.” Aurora kept her hands at her sides. The rain on her hair made her shoulders heavy. She did not step toward him. “You left a name behind.” He placed the glass on the bar. The ring moved in his fingers. “Six years.” “Six years and one war’s worth of silence.” Another patron at the bar lifted a glass. The room returned to its hum. “Are you drinking, or haunting?” She looked at the bottle of rye behind him. The label had a cracked horse. “Whisky. One pour. I’m on the clock.” He measured the pour. His hand was steady. The ring made a small click against the glass. “You own this place?” “I own the lease, the staff, and the bad idea of putting a bookshelf where a door should be.” Her eyes found the shelf at the end of the room. It matched the others, but the books sat a shade deeper in their slots. “You still count exits.” “I count doors.” “You taught me that.” He lifted his glass. She lifted hers. “Here’s to bad doors.” “Here’s to bad timing.” Their glasses met. The sound was thin. “You’re in London.” “I deliver food.” “To lawyers?” “To restaurants. To people who order the same thing and complain about the salt. I work for Yu-Fei.” Silas set his glass down. “The Golden Empress.” “The same.” “You left Pre-Law.” Aurora’s thumb found the small crescent on her left wrist. The scar was old, pale, and shaped like a moon that had lost most of its light. “I did.” “Your mother called my brother once. He told me you were thinking of the bar. I told him you were thinking of the bench. I should have known.” “You were in a country where I couldn’t follow.” “I was in Prague.” A bus hissed at the curb. The green neon flickered. “The knee.” “An old injury.” “You’re a bar owner.” “I am.” “You used to talk like you were going to climb out of a window in every room.” “Windows are expensive now.” Rory turned the glass in her hands. The whisky sat dark. “I thought you were dead.” His jaw moved once. “Your father sent a letter after the accident. He said you had gone. He said you had chosen the quiet.” “He wrote that?” “He wrote that you had broken your knee in a safehouse and your conscience in a corridor. He did not say which one hurt worse.” Silas looked at the maps on the wall. His fingers touched the ring. “Your father was not the only one who kept score.” “I kept a file.” “Of me?” “Of every person who left. I put it in the bookshelf.” Her eyes moved to the shelf. “You still hide things behind books.” “I keep things where they can be found by the people who come looking.” “Did I come looking?” “You walked in with rain on your face and a bag from a restaurant that overpacks dumplings.” Rory almost smiled. The almost died on her teeth. “I left because of Evan.” Silas went still. “Evan was my ex. He thought the law would keep me. He thought a flat in London would keep me. He thought if I stayed long enough, I would become smaller.” “What did you do?” “I moved.” “From him to a city.” “From him to you.” His thumb stopped on the ring. “You found this flat because of me?” “You know Cardiff. You know the kind of landlord who charges less for the floor above a bar because the noise keeps the rent low. You know the kind of door that locks from the inside. I needed both.” “You never called.” “If I called, I would have told him. If I told him, he would have known where I slept.” “He would have known where you slept in London?” “He would have known.” Silas turned toward the back of the bar. The bottles lined up behind him. The room narrowed to the space between their elbows. “You are safe.” “I am not asking for safe.” “You are not.” “I am asking if you are glad.” He did not answer at once. The dead letter in the neon sign buzzed. A waiter in the corner wiped a table with a cloth that looked older than Rory. “Glad is a weak word.” “Use a better one.” “Relieved.” “Relieved is what you feel when a bomb misses.” “It is also what I feel when a door opens on the first try.” Aurora looked at his knee. She looked at the silver ring. She looked at her wrist, where the old scar waited under her sleeve. “You still count exits.” “I count ways in.” “That’s new.” “Some people spend enough years looking for a way out that they forget what it is to bring someone home.” The bar bell above the door rang. The room went still. Aurora did not move. Silas did not turn. “The flat upstairs has a broken lock.” “I can fix it.” “You can fix it tomorrow.” “There is a man at table six who drinks too fast and asks questions.” “He is one of your people.” “He is a customer who owes the bank. Sit where I can see you. I will finish the shift. Then I will come up.” Aurora lifted the paper bag from the floor. She placed it by the bar, away from his stool. “Six years.” “I know.” “I kept the letters.” “You kept them?” “In the drawer your mother used for the tea tickets. I did not open them until after I left Evan.” Silas’s hand closed around the ring. “Then you know.” “Know what?” “That I did not choose the quiet.” Rory drank the whisky. The drink cut her tongue and warmed her ribs. “No. You chose to be late.” “Late is better than gone.” He reached across the bar and turned the glass until the ring faced upward. The light caught the engraving on the inner band. Aurora leaned closer, though the bar stood between them. “What does it say?” “Nothing you would understand.” “I understand doors.” He looked at her for a long time. The rain pressed against the window. The green neon pushed light over the wall. “It says, ‘For the one who came back.’” Aurora’s breath left her in a thin line. She placed her glass on the bar. “Fix the lock tomorrow.” “I will need a key.” “The key is under the mat. You always told me to hide it where no one would look twice.” Silas turned toward the back of the bar. The limp was small, but it was there. He moved through the room like a man who had learned to carry weight without showing the handle. “Table six.” He pointed with the glass. “Which one?” “The one that does not order a second round.”
created_at"2026-09-03T15:18:31.45Z" 9/3/2026, 3:18:31 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency322
moderation_latency(null)
generation_time180248
tokens_prompt1063
tokens_completion8456
native_tokens_prompt1098
native_tokens_completion9021
native_tokens_completion_images(null)
native_tokens_reasoning6473
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"stop"
service_tier(null)
usage0.02326707
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788448711-jlXQYXaLkHJSZvQYgCvL"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788448711-zjSTnV1tScWxUHfS96B6"
upstream_id"chatcmpl-aaf308a3-a73f-4a57-9fad-7efef40e449e"
provider_responses
0
endpoint_id"15086968-df2f-4d69-86bb-c74c31644bb6"
id"chatcmpl-aaf308a3-a73f-4a57-9fad-7efef40e449e"
is_byokfalse
latency322
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"Reka"
status200
total_cost0.02326707
cache_discount(null)
upstream_inference_cost0
provider_name"Reka"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1326
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
84.92% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1326
totalAiIsms4
found
0
word"silence"
count1
1
word"measured"
count1
2
word"flickered"
count1
3
word"weight"
count1
highlights
0"silence"
1"measured"
2"flickered"
3"weight"
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
narrationSentences80
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences80
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences175
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1326
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount630
uniqueNames9
maxNameDensity1.27
worstName"Aurora"
maxWindowNameDensity2.5
worstWindowName"Aurora"
discoveredNames
Soho1
Carter1
Raven1
Nest1
Golden1
Empress1
Rory4
Aurora8
Silas7
persons
0"Carter"
1"Raven"
2"Nest"
3"Empress"
4"Rory"
5"Aurora"
6"Silas"
places
0"Soho"
1"Golden"
globalScore0.865
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1326
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences175
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs129
mean10.28
std11.58
cv1.127
sampleLengths
094
146
21
312
41
523
67
722
85
913
102
118
1214
135
1415
157
1617
174
1819
1925
204
213
224
237
244
254
267
273
283
292
3018
315
323
332
343
3527
362
3728
389
394
4010
412
423
434
442
4517
464
4711
485
494
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences80
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs102
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences175
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount633
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.014218009478672985
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences175
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences175
mean7.58
std6.04
cv0.797
sampleLengths
020
113
29
310
48
58
626
717
87
911
102
119
121
138
144
151
166
178
189
197
207
219
226
235
247
256
262
278
288
296
305
319
326
337
344
354
369
374
3819
3911
4014
414
423
434
444
453
464
474
483
494
38.57% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats20
diversityRatio0.26285714285714284
totalSentences175
uniqueOpeners46
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences79
matches(empty)
ratio0
73.16% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences79
matches
0"His hair had gone grey"
1"His beard lay close to"
2"His left foot dragged a"
3"She set the paper bag"
4"He moved away from the"
5"He steadied himself on the"
6"She did not step toward"
7"He placed the glass on"
8"She looked at the bottle"
9"He measured the pour."
10"His hand was steady."
11"Her eyes found the shelf"
12"It matched the others, but"
13"He lifted his glass."
14"She lifted hers."
15"Their glasses met."
16"His jaw moved once."
17"His fingers touched the ring."
18"Her eyes moved to the"
19"His thumb stopped on the"
ratio0.367
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount78
totalSentences79
matches
0"The green neon over the"
1"Aurora Carter pushed the door"
2"The paper bag from Golden"
3"The air inside was thick"
4"Maps hung on the walls,"
5"A man stood at the"
6"His hair had gone grey"
7"His beard lay close to"
8"The silver ring on his"
9"His left foot dragged a"
10"She set the paper bag"
11"The bottles inside shifted."
12"He moved away from the"
13"The movement was clean until"
14"He steadied himself on the"
15"Aurora kept her hands at"
16"The rain on her hair"
17"She did not step toward"
18"He placed the glass on"
19"The ring moved in his"
ratio0.987
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences79
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
85.9995%