Run: 2026-09-02-01M1H58KB4CAS3TEP4YN9CTKF6

Run Details

Duration:
46.1s
Cost:
$0.000438
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 green neon buzzed above the door as Rory shouldered into the Raven's Nest, rain still dripping off her jacket onto the worn floorboards. Tuesday nights were quiet. Silas polished glasses behind the bar, and a lone man in the corner nursed a whisky he hadn't touched in twenty minutes. Rory slid onto a stool and peeled off her gloves. "Pint of the usual, and put it on my tab." "Your tab's long enough to frame." Silas set the glass down anyway. "Delivery done?" "Last box went out an hour ago. Woman in Camden ordered three crates of dim sum for her cat's birthday. I didn't ask. You taught me not to ask." The door swung open behind her, and cold air swept through the room. Rory didn't look up until the newcomer sat two stools down and ordered, in a voice that landed on her like a dropped plate, "Whatever gin you have that isn't terrible." Eva Marsh. Older, sharper, hair cropped to the jaw and dyed platinum, a thin gold scar traced down the left side of her throat like a lightning strike frozen mid-fall. The Eva Rory remembered wore cardigans and laughed with her whole body. This woman sat like she was rationing her own movement. Silas caught Rory's eye. She gave him a nearly invisible shake of the head, and he drifted to the far end of the bar with his cloth and his glasses. "Eva." The woman turned. Recognition moved across her face in stages, each one colder than the last. "Rory Carter." "You look—" "Don't." Eva lifted her gin. "Whatever word comes next, I've heard it. In hospitals, mostly." Rory wrapped her hands around her own pint. Condensation ran down her wrists, over the crescent scar. "What happened to your neck?" "Kyiv. Three years ago, if we're being precise, and we always should be." Eva drank. "You look exactly the same, by the way. Same jacket. Same worried line between your eyebrows. Do you still bite your nails when you're lying?" "I don't lie." "You left London without a word." "You were the one who told me to leave Evan. You found me the flat, you packed the car, and then a month later you were gone. Your number stopped working. I rang the hospital, Eva. Your landlady said you'd gone and left everything behind but a kettle." "A kettle I paid for." Eva smiled, and it didn't reach anywhere near her eyes. "I got a job offer. Confidential, immediate, the kind you don't refuse. By the time I could explain, explaining would have been dangerous." "For who?" "Everyone in your phone, for a start." Rory turned on her stool to face her fully. "So you just let me think you were dead? I held a bloody vigil. I told your mum's grave I was sorry I lost you." Eva's jaw worked. For one second the platinum and the scar fell away and Rory saw the girl from Cardiff who'd once stolen a shopping trolley and ridden it down a hill into the Taff. Then it closed over again, like ice on water. "I know about the grave. I went. Two years ago. You'd left flowers." "You went and didn't knock on my door?" "I was on a schedule with a burner phone and a forty-minute window. That's the honest answer. You deserve the honest answer." Eva set her glass down with a click. "The dishonester answer is I was ashamed. I'd become something you'd have to squint at to recognise. I thought if you saw me, you'd see the choices I made written on my face, and I couldn't stand the idea of you looking at me the way you looked at Evan." "I never looked at Evan the way I'm looking at you." "How's that?" "Like I've got a hundred questions and I'm terrified of the answers." Rory's voice cracked on the last word. She covered it with her pint. Silas moved down the bar without being asked, refilled Eva's glass, and retreated. Eva watched him go with a professional's eye. "Your landlord moves like a man who used to matter." "He still matters. He's just careful about it." "He's MI6. Retired. The limp's from Prague." Rory stared at her. "You knew that in ten seconds?" "I knew it in four." Eva's mouth twitched. "There it is. That's the face. Go on, then. Ask." "What do you do now?" "Consult. Contracts, mostly. Analysis. Sometimes I point at a map and someone in a nice suit goes pale." She turned her gin slowly on the bar. "And sometimes I stand in a hospital corridor in a foreign country while a surgeon decides if the scar on my throat will be the pretty kind or the ugly kind. And the whole time I'm thinking, I should have called Rory. She'd have come. She'd have brought terrible biscuits and sat with me and not asked a single question until she was ready. That's who you were to me. The person I didn't have to perform for." "You could've performed for me. I'd have clapped." Eva laughed, short and raw, and pressed her knuckles to her mouth. "God. There's the Cardiff in you." They sat in the quiet of the nearly empty bar. The neon hummed. Rain ticked against the windows in a rhythm like a slow code. "I'm not going to ask you to tell me everything," Rory said at last. "Silas taught me that much. But I'm asking you for one thing, and it's not a favour, it's a fee. Six years of silence, this is what it costs." "Name it." "You're here now. You're not on a schedule. So you'll drink one more with me, and next Tuesday you'll be here again. And the Tuesday after that. Even if you talk about nothing. Even if you lie about the weather. You'll come back, and one day you'll tell me the truth about that scar, and I'll bring the biscuits, and I won't ask until I'm ready." Eva looked at her for a long moment. Something in her posture unlocked, a degree or two, the way a safe door gives before it opens. "I've got a flat in Islington," she said. "It's got a kettle. I paid for it myself." "Course you did." Rory raised her glass. "To terrible gins and worse friends." "To the kind that come back." Eva touched her glass to Rory's. "Tuesday it is." Silas, at the far end of the bar, turned up the radio and said nothing at all.
created_at"2026-09-02T13:34:47.15Z" 9/2/2026, 1:34:47 PM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency910
moderation_latency(null)
generation_time46024
tokens_prompt1063
tokens_completion1540
native_tokens_prompt1004
native_tokens_completion1452
native_tokens_completion_images(null)
native_tokens_reasoning38
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)
usage0.0004383
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788356087-dRMEzKeRycCDWiQPg2Zf"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788356087-VeZIIkJthAATOCaVLc20"
upstream_id"202609022134479f9dbc3b78244cb0"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"202609022134479f9dbc3b78244cb0"
is_byokfalse
latency910
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.0004383
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
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences49
tagDensity0.265
leniency0.531
rawRatio0
effectiveRatio0
95.42% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1091
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
81.67% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1091
totalAiIsms4
found
0
word"traced"
count1
1
word"grave"
count2
2
word"silence"
count1
highlights
0"traced"
1"grave"
2"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
narrationSentences43
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences43
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences79
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen78
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1091
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount440
uniqueNames8
maxNameDensity2.95
worstName"Rory"
maxWindowNameDensity5
worstWindowName"Eva"
discoveredNames
Rory13
Raven1
Nest1
Eva13
Marsh1
Cardiff1
Taff1
Silas5
persons
0"Rory"
1"Nest"
2"Eva"
3"Silas"
places
0"Raven"
1"Marsh"
2"Cardiff"
3"Taff"
globalScore0.023
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences30
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1091
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences79
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs47
mean23.21
std21.49
cv0.926
sampleLengths
050
110
210
314
429
544
652
730
81
918
102
1115
1222
1340
143
156
1648
1738
182
197
2034
2144
2213
238
2480
2511
262
2725
2821
2910
308
317
3210
3318
345
35104
368
3718
3825
3943
402
4166
4226
4317
4413
4515
4617
97.10% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences43
matches
0"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs77
matches
0"was rationing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences79
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount441
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.02947845804988662
lyAdverbCount4
lyAdverbRatio0.009070294784580499
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences79
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences79
mean13.81
std13.74
cv0.995
sampleLengths
024
14
222
310
410
512
62
729
813
931
102
1128
1212
1310
144
1526
161
173
1813
192
202
215
2210
238
249
255
2615
2725
283
296
3048
3115
3223
332
347
359
3625
373
3832
399
4013
418
4230
4350
4411
452
4619
476
4813
498
78.48% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.4936708860759494
totalSentences79
uniqueOpeners39
83.33% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences40
matches
0"Then it closed over again,"
ratio0.025
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount4
totalSentences40
matches
0"She gave him a nearly"
1"She covered it with her"
2"She turned her gin slowly"
3"They sat in the quiet"
ratio0.1
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences40
matches
0"The green neon buzzed above"
1"Tuesday nights were quiet."
2"Silas polished glasses behind the"
3"Rory slid onto a stool"
4"Silas set the glass down"
5"The door swung open behind"
6"Rory didn't look up until"
7"The Eva Rory remembered wore"
8"This woman sat like she"
9"Silas caught Rory's eye."
10"She gave him a nearly"
11"The woman turned."
12"Recognition moved across her face"
13"Eva lifted her gin"
14"Rory wrapped her hands around"
15"Condensation ran down her wrists,"
16"Eva smiled, and it didn't"
17"Rory turned on her stool"
18"Eva's jaw worked."
19"Eva set her glass down"
ratio0.925
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences40
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences16
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"Rory didn't (do)"
dialogueSentences49
tagDensity0.061
leniency0.122
rawRatio0.333
effectiveRatio0.041
87.8668%