Run: 2026-09-02-01M1H57REH76XM1RJFP474HMZ8

Run Details

Duration:
54.9s
Cost:
$0.000392
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 above the door buzzed like a trapped wasp. Rory pushed through into the Nest, shaking rain off her jacket, and stopped dead two steps inside. Eva sat at the end of the bar. Not the Eva she'd left in Cardiff seven years ago—the one with bleached streaks and chipped blue nail polish and a laugh that carried across lecture halls. This woman wore grey. Grey coat, grey silk scarf, hair cropped short and dark as ink, hands wrapped around a tumbler with the patience of someone who'd ordered it twenty minutes ago and hadn't touched it. "Eva." "Aurora Carter." Eva turned on the stool, and for a second the old smile flickered through, the one from the night they'd climbed the crane over the Taff in second year. Then it settled into something smaller, more careful. "I heard you worked here. In the sense that I asked people." "Flattering." Rory slid onto the next stool. "Whisky?" "I'm going through a phase of drinking things I don't actually like. It feels adult." "Si. Two of whatever she's having." Silas set down the glass he'd been polishing and reached for the bottle. His limp dragged slightly as he turned, and Rory caught the way his eyes moved over Eva—coat, scarf, shoes—cataloguing without seeming to. They drank. The rain ticked against the window. A black-and-white photograph of Prague in winter hung between them, one Rory had passed a thousand times without looking at. "Seven years," Eva said. "Five and a half. I counted the first year, then stopped counting because it was depressing." "You didn't come to my mother's funeral." The sentence dropped flat between them like cutlery. Rory looked at her glass. "I didn't know." "I sent a card. To your dad's chambers." Eva turned the tumbler a quarter turn on the wood. "He forwarded nothing, then?" "No. But that's on me too. I stopped answering him. Evan—there was a period where anything from home felt dangerous. Information was leverage. I didn't know who'd read what." Rory's thumb found the crescent scar on her wrist and pressed. "That's not an excuse. It's a map of where I went missing." Eva studied her. "You're different." "Four years of looking over your shoulder will do that. You're different too. When did you stop laughing?" Something moved in Eva's face—brief, quickly covered. "When did you notice I had?" "Fair." Silas refilled their glasses without being asked and drifted to the far end of the bar, where a man in a flat cap had sat down with the air of someone wanting to be invisible. "I'm getting divorced," Eva said. "Two years of lawyers and it's finally the week of the signing. I came to London to be somewhere nobody knew me, and then I remembered there was one person who knew me, and she was here, and I hated her for three years and missed her for four." Rory laughed—a short, broken sound. "You've got the timeline better than I do." "Careers do that. You get very good at timelines." Eva touched the rim of her glass without drinking. "What happened to the girl who was going to tear down the whole legal establishment? I had you down for radical defence counsel by thirty. You'd have defended me for free and shouted at the judge." "I defended myself instead. It was a smaller case." Rory looked at the amber in her glass. "I do deliveries. Thai food, mostly. I live above a bar. And honestly? It's the first time in my life I've felt like the floor was solid." "You were the brilliant one." "You were the brave one. That's what nobody tells you—brilliant is just a trick, brave costs things." Rory reached out and put her hand over Eva's on the bar. The knuckles were cold. A ring was gone; there was a pale band of skin where it had lived. "I should have been there. I should have answered the card. I'm sorry. That's the whole speech." Eva's eyes were bright, and she blinked hard and laughed at herself. "God, you haven't lost it. That was exactly the speech I rehearsed you giving on the way over. Word for word." "Then you've known me longer than I've known me." They sat with that. Silas slid two glasses of water down the bar without a word, and Rory caught the corner of his mouth turning up as he turned away. "You live in Cardiff still?" Rory asked. "Richmond now. His idea. Everything was his idea, that turned out to be the problem." Eva finally took a proper drink, winced at the whisky, and smiled. "You said you deliver food. On a night like this?" "Somebody's got to bring the dumplings home." "Take me with you. Not—not home. Just with you. On the route. I want to watch you do something ordinary. I want to see the floor you're standing on." Eva's voice caught on the last word, and she smoothed it over with the grey scarf, pulling it loose from her neck. "I've spent five years standing on a very expensive floor in a very nice house and I never once felt it hold." "Si, I'm off the clock." Rory drained her glass and stood, holding out her hand. "Delivery for Richmond's finest. She doesn't tip, but she talks." Eva took her hand and came off the stool, and for a moment she was nineteen again, standing on the rail of a bridge over the Taff, shrieking with laughter while Rory held her wrist. Then the door opened, rain blew in, and the rain went out again with the two of them into the dark of Soho, one carrying the bag, one carrying everything else.
created_at"2026-09-02T13:34:19.609Z" 9/2/2026, 1:34:19 PM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4751
moderation_latency(null)
generation_time54829
tokens_prompt1063
tokens_completion1390
native_tokens_prompt1004
native_tokens_completion1268
native_tokens_completion_images(null)
native_tokens_reasoning32
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)
usage0.0003923
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788356059-YdoRatLbfMXFjsMJ1lcb"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788356059-ezgTjEhq3tR5ihporL0y"
upstream_id"20260902213419a74dd2e0af464c8b"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"20260902213419a74dd2e0af464c8b"
is_byokfalse
latency4751
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.0003923
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
totalTags14
adverbTagCount0
adverbTags(empty)
dialogueSentences39
tagDensity0.359
leniency0.718
rawRatio0
effectiveRatio0
74.01% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount962
totalAiIsmAdverbs5
found
0
adverb"slightly"
count1
1
adverb"quickly"
count1
2
adverb"very"
count3
highlights
0"slightly"
1"quickly"
2"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)
89.60% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount962
totalAiIsms2
found
0
word"silk"
count1
1
word"flickered"
count1
highlights
0"silk"
1"flickered"
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
narrationSentences38
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences38
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences63
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen52
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords954
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
totalMentions37
wordCount495
uniqueNames8
maxNameDensity3.03
worstName"Eva"
maxWindowNameDensity5
worstWindowName"Eva"
discoveredNames
Nest1
Eva15
Cardiff1
Taff2
Silas3
Rory13
Prague1
Soho1
persons
0"Eva"
1"Taff"
2"Silas"
3"Rory"
places
0"Cardiff"
1"Prague"
2"Soho"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences28
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount954
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences63
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean25.78
std20.05
cv0.778
sampleLengths
028
18
263
31
451
58
615
741
828
94
1016
117
1213
133
1422
1552
165
1718
1813
191
2035
2154
2213
2354
2444
255
2665
2733
289
2930
307
3137
327
3373
3425
3535
3631
86.80% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences38
matches
0"being asked"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs89
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount1
flaggedSentences5
totalSentences63
ratio0.079
matches
0"Not the Eva she'd left in Cardiff seven years ago—the one with bleached streaks and chipped blue nail polish and a laugh that carried across lecture halls."
1"His limp dragged slightly as he turned, and Rory caught the way his eyes moved over Eva—coat, scarf, shoes—cataloguing without seeming to."
2"Something moved in Eva's face—brief, quickly covered."
3"Rory laughed—a short, broken sound."
4"A ring was gone; there was a pale band of skin where it had lived."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount502
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.02390438247011952
lyAdverbCount3
lyAdverbRatio0.00597609561752988
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences63
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences63
mean15.14
std12.02
cv0.794
sampleLengths
011
117
28
327
44
532
61
731
88
912
107
111
1215
1319
1422
152
166
1720
184
1916
207
218
225
233
2418
254
2640
2712
283
292
3018
317
326
331
3435
355
3649
375
388
3918
4036
4117
4227
435
4429
454
4615
4717
4812
4921
85.19% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.5396825396825397
totalSentences63
uniqueOpeners34
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences34
matches
0"Then it settled into something"
1"Then the door opened, rain"
ratio0.059
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount2
totalSentences34
matches
0"His limp dragged slightly as"
1"They sat with that."
ratio0.059
18.82% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount30
totalSentences34
matches
0"The green neon above the"
1"Rory pushed through into the"
2"Eva sat at the end"
3"This woman wore grey."
4"Eva turned on the stool,"
5"Rory slid onto the next"
6"Silas set down the glass"
7"His limp dragged slightly as"
8"The rain ticked against the"
9"A black-and-white photograph of Prague"
10"The sentence dropped flat between"
11"Rory looked at her glass."
12"Eva turned the tumbler a"
13"Rory's thumb found the crescent"
14"Eva studied her."
15"Something moved in Eva's face—brief,"
16"Silas refilled their glasses without"
17"Rory laughed—a short, broken sound."
18"Eva touched the rim of"
19"Rory looked at the amber"
ratio0.882
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences34
matches(empty)
ratio0
83.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences12
technicalSentenceCount1
matches
0"Grey coat, grey silk scarf, hair cropped short and dark as ink, hands wrapped around a tumbler with the patience of someone who'd ordered it twenty minutes ago …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences39
tagDensity0.077
leniency0.154
rawRatio0
effectiveRatio0
84.5918%