Run: 2026-09-02-01M1GQDK5XY5PKB0GF2RADYABM

Run Details

Duration:
6m 33s
Cost:
$0.063318
Provider:
Z.AI

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 rain reached Soho an hour before she did. By the time Rory shouldered through the door of the Raven's Nest, the green sign above the entrance had gone soft in the wet, its light pooling on the pavement like something spilled. Two customers remained, near the window with coats over their knees. Silas worked the far end of the bar, towel on his shoulder, lifting each glass off the rack and holding it to the lamplight before it went back on the shelf. His signet ring clicked against the rims. He didn't look up. "Kitchen's dead." "Good. I've smelled like a wok since six." She parked the thermal bag behind the bar and peeled off her cagoul. Her black hair had surrendered to the rain and lay flat against her neck. "Mr. Han tipped me in life advice tonight." "Anything worth keeping?" "Never lend money to family." She slid onto a stool. "So that's my night sorted." He built her a lime soda over ice without being asked. Behind him the walls held their usual crowd — old maps with ferry routes faded to ghosts, photographs of men in suits two decades gone. One frame had gone crooked. He straightened it on his way past, and kept his eyes on the glassware. The door chimed. A woman came in shaking out an umbrella that had lost its argument with the weather. Camel coat. A bob you could set a watch by. Pearls. She stood scanning the room for a free table, or a charger, or simply the far side of the rain, and Rory watched her gaze travel across the bar and stop. The phone came down from her ear. "Aurora?" The name Laila arrived on Rory's tongue, worn smooth from use. She swallowed it. "Sorry, I think you've got the wrong—" "Rory Carter. You lived three doors down from me until you were eleven. You taught me long division with sausages." The woman came closer, umbrella dripping a small dark map onto the floorboards. "Same eyes. I'd know them anywhere. Nobody else on this island has eyes that colour." "...Carys." "Carys Lloyd." She hovered with her hands half-raised, unsure what the rules were now. Rory solved it. She stood, and the hug landed quick and stiff, both of them patting like drumming on a door. "You look—" Rory stepped back. "Where's the rest of you? The nose ring. The hair like a bin fire." "Retired. I'm in insurance." Carys touched her bob as if confirming it hadn't run off. "If you crash that bike, I'm the one who decides whether you were at fault." Silas drifted down the bar with two coasters, the limp showing on his third step. "Evening. What are we having?" "Do you do a rioja—" Carys stopped. Reeled it back in. "No. Lime and soda, please. Two years in March." "Two years." Rory turned her glass. "You used to drink cider and black out of the pint glass your dad won at Chepstow." "That girl cost me a liver and a boyfriend, in that order. We don't speak anymore, her and me." Rory laughed before she could stop it. They took the corner table beneath a map neither of them looked at. Silas brought the sodas, a bowl of crisps, a dish of pickled eggs nobody had ordered in thirty years, then returned to his glasses — closer to the door now. Rory noticed that. Then noticed that she'd noticed. "So." Carys wrapped both hands around her drink. "I'm in town for a leaving do. Clients wanted jazz, clients got jazz, I stepped out to ring Owain and it came down biblical. So. Luck. Mad luck." "Owain." "Owain Pritchard." "Pritchard stole my bike." "He returns it in the vows. He teaches PE now. Cycles to work in Lycra, and I've made my peace with it. We've got a flat in Pontcanna with a garden. There's a shed." Her thumb circled the rim of her glass. "It's lush, Rory. All of it a bit lush." "And you hate it." "I didn't say that." "You didn't not say it." Carys smiled into her soda. Then the smile left, and she took the leap. "So. Chambers. Did you get the pupillage? Your dad told everyone, she'll do her pupillage in London, and I used to tell people, honestly, my mate Rory's going to be a judge. He's still got your photo up, you know. Behind his desk. A-level results day. You're holding the envelope like a fish you caught." Rory studied the pickled eggs. "I deliver food for a Chinese on Lisle Street. Yu-Fei feeds her couriers before her customers, so I eat better than you'd think. I live upstairs." She tipped her head at the ceiling. "That's the whole update." Carys absorbed it the way you absorb a hospital corridor. "You're not going to tell me what happened." "Nothing happened. I took a detour." "Three years is a detour?" "Traffic was bad." Carys let it sit. Then, placing each word like a foot on ice: "He came round ours. Last spring." Rory's spine changed. "He had flowers. Said your mum had stopped answering him too. He cried on my sofa. Owain shook his hand." Her voice dropped on the next part. "I made him tea. I believed him for a year, Rory. Longer." Rory turned her glass a quarter turn. "He's very good at being believed. It's his only real skill." Then: "Don't make him tea again." "I won't." Carys flattened her hand on the table. "The last time I saw you was outside the City Arms. June. You had his hoodie on, sleeves pulled down over your knuckles, and I said—" she looked at the table — "I said, you two make me sick, so happy it's disgusting." "It was long-sleeved." Rory kept her eyes on the bar. "It was June. And it was long-sleeved." "Don't." Carys's voice cracked down the middle. "Don't tell me I couldn't have known. I've had two years of telling myself that and it doesn't take." "I wasn't going to say that." Rory met her. "I was going to say I never rang you. That part was mine. He never had to lift a finger for that bit — I did it all myself." Carys nodded at nothing for a while. "Eva told us you were safe. Four words. I've hated her and thanked her for them more times than I can count." She wiped under one eye with her knuckle. "I kept your number. Four phones now. I move it over every upgrade like — like a stone in a coat pocket. Never ring it. Just carry it about." "I changed it. Twice." "I know." The rain worked at the window. Somewhere down the street a siren rose and gave up. "Do you remember Berlin?" Carys said. "That summer after results. You had a folder. Printed. Laminated. Day trips colour-coded." "Blue was walking. Red was museums." "We never went." "We were going to be people who went places." "I became a person with a shed." Carys laughed, wet-eyed, and took a sip she didn't want. "First year you were gone, we did Fridays. Me, Lisa Thomas, Nia. City Arms. We kept your chair. In case you came back and wanted a seat." She set the glass down. "Then Lisa moved to Bristol, and Nia had the baby, and I had the drinking. Fridays stopped being anything." A breath. "That's what two years in March is. That's the tail end of the Fridays." "For my first year here, I told everyone my name was Laila." Rory said it loud enough to carry to the bar. "Practised the signature. Answered to it at the door." "And now?" Silas spoke without turning from his glasses. "Now she signs the right one when she thinks nobody's looking." Carys glanced between them. "Is he always like that?" "He's worse than that." Rory reached for the crisps and her cuff rode up. Carys caught her wrist, gentle, and set her thumb over the small crescent scar. "You still have the moon." "Lisa Thomas bet me I couldn't clear her gate." "You couldn't." "I took second place." Carys kept her finger there, the way you test a window for a draught. The green from the sign came through the wet glass and lay across the table between them. "I liked who we were going to be," Carys said. Rory looked down at the crescent under her friend's fingertip. "I never got to meet her."
created_at"2026-09-02T09:32:50.757Z" 9/2/2026, 9:32:50 AM
model"z-ai/glm-5.3-20260816"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2665
moderation_latency(null)
generation_time392537
tokens_prompt1063
tokens_completion14330
native_tokens_prompt1004
native_tokens_completion14071
native_tokens_completion_images(null)
native_tokens_reasoning12160
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)
usage0.063318
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788341570-FsMkq0vUxhoax9y28VyO"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788341570-Ub8QWBrx0o41iHlnI16E"
upstream_id"202609021732509390427539bd4900"
provider_responses
0
endpoint_id"db975786-e7f6-4838-9e56-3e0b77f1bdc2"
id"202609021732509390427539bd4900"
is_byokfalse
latency2665
model_permaslug"z-ai/glm-5.3-20260816"
provider_name"Z.AI"
status200
total_cost0.063318
cache_discount(null)
upstream_inference_cost0
provider_name"Z.AI"
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
totalTags24
adverbTagCount1
adverbTags
0"Rory stepped back [back]"
dialogueSentences76
tagDensity0.316
leniency0.632
rawRatio0.042
effectiveRatio0.026
96.46% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1413
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
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)
92.92% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1413
totalAiIsms2
found
0
word"scanning"
count1
1
word"coded"
count1
highlights
0"scanning"
1"coded"
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
narrationSentences71
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences71
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences121
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen55
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1418
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount655
uniqueNames8
maxNameDensity2.44
worstName"Rory"
maxWindowNameDensity5.5
worstWindowName"Carys"
discoveredNames
Soho1
Rory16
Raven1
Nest1
Laila1
Carys15
Silas4
Reeled1
persons
0"Rory"
1"Raven"
2"Laila"
3"Carys"
4"Silas"
places
0"Soho"
globalScore0.279
windowScore0
95.65% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount1
matches
0"as if confirming it hadn't run off"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1418
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences121
matches
0"noticed that she'd"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs64
mean22.16
std20.69
cv0.934
sampleLengths
042
153
22
343
43
515
655
73
858
97
101
1121
1248
131
1435
1519
1630
1720
1820
1923
2019
217
2251
2336
241
252
264
2751
284
294
305
3169
3242
3318
346
355
363
3761
3824
3952
4017
4126
4238
4366
444
452
4616
4719
486
493
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences71
matches
0"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs114
matches(empty)
95.63% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences121
ratio0.017
matches
0"Behind him the walls held their usual crowd — old maps with ferry routes faded to ghosts, photographs of men in suits two decades gone."
1"Silas brought the sodas, a bowl of crisps, a dish of pickled eggs nobody had ordered in thirty years, then returned to his glasses — closer to the door now."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount655
adjectiveStacks0
stackExamples(empty)
adverbCount10
adverbRatio0.015267175572519083
lyAdverbCount1
lyAdverbRatio0.0015267175572519084
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences121
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences121
mean11.72
std10.03
cv0.856
sampleLengths
09
133
211
331
47
54
62
721
814
98
103
1110
125
1311
1425
155
1614
173
1816
192
208
211
2231
237
241
2511
263
277
2833
2915
301
3114
323
3318
345
3514
3615
3715
3815
395
407
414
429
436
4417
4519
467
4713
4830
493
67.77% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.4462809917355372
totalSentences121
uniqueOpeners54
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences64
matches
0"Then noticed that she'd noticed."
1"Then the smile left, and"
2"Then, placing each word like"
3"Somewhere down the street a"
ratio0.063
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences64
matches
0"His signet ring clicked against"
1"He didn't look up."
2"She parked the thermal bag"
3"Her black hair had surrendered"
4"She slid onto a stool"
5"He built her a lime"
6"He straightened it on his"
7"She stood scanning the room"
8"She swallowed it."
9"She hovered with her hands"
10"She stood, and the hug"
11"They took the corner table"
12"Her thumb circled the rim"
13"She tipped her head at"
14"Her voice dropped on the"
15"she looked at the table"
16"She wiped under one eye"
17"She set the glass down"
ratio0.281
30.31% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences64
matches
0"The rain reached Soho an"
1"Silas worked the far end"
2"His signet ring clicked against"
3"He didn't look up."
4"She parked the thermal bag"
5"Her black hair had surrendered"
6"She slid onto a stool"
7"He built her a lime"
8"He straightened it on his"
9"The door chimed."
10"A woman came in shaking"
11"A bob you could set"
12"She stood scanning the room"
13"The phone came down from"
14"The name Laila arrived on"
15"She swallowed it."
16"The woman came closer, umbrella"
17"She hovered with her hands"
18"Rory solved it."
19"She stood, and the hug"
ratio0.859
78.13% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences64
matches
0"By the time Rory shouldered"
ratio0.016
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences21
technicalSentenceCount1
matches
0"Silas worked the far end of the bar, towel on his shoulder, lifting each glass off the rack and holding it to the lamplight before it went back on the shelf."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags24
uselessAdditionCount1
matches
0"The woman came, umbrella dripping a small dark map onto the floorboards"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"Carys laughed (laugh)"
dialogueSentences76
tagDensity0.053
leniency0.105
rawRatio0.25
effectiveRatio0.026
91.8958%