Run: 2026-09-02-01M1H5GD2H5JJ25CQT7049KQ84

Run Details

Duration:
1m 23s
Cost:
$0.000455
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 wasp in a jar. Rory pushed through into the Nest, shaking rain off her jacket, and stopped halfway across the floor because a woman at the end of the bar was already looking at her. She knew the face. She knew it the way you know a song from the first two notes, before you've decided to. "Rory Carter." The woman set down her glass. "I thought that was you ten minutes ago, but I told myself, no, Rory Carter is still in Cardiff, arguing with a lecturer about tort law." "Eva." "Hello, you." Eva Marsh. Last seen at a bus station in Swansea six years ago, crying and laughing in equal measure, promising to ring every Sunday. Sunday calls had lasted a month. Then a birthday text. Then nothing but a name in a phone that Rory had never had the heart to delete. She crossed the floor slowly, as if quick movement might break whatever spell had put Eva Marsh on a stool in Silas's bar in Soho. "What are you drinking?" "Gin. Whatever's honest." Eva turned back to the bar, and the light caught her face, and Rory saw it then. The change. Eva had been soft-edged at twenty-three, round-cheeked, hair dyed an aggressive purple that she'd defended in a Wetherspoons argument for forty minutes. This woman's cheekbones could have cut glass. Her hair was black now, cropped close, and under the left ear a thin white line ran down into her collar. Rory's eyes stayed on it a beat too long. "Glass door," Eva said. "At work." "You worked somewhere with glass doors?" "I work somewhere with glass doors now." She smiled, and the smile was the old smile, and that was worse somehow. "Sit down. God, sit down, you're hovering like a landlord." Rory sat. Silas caught her eye from the taps, one eyebrow lifting a fraction, and she gave him a small shake of the head. Not yet. He slid a gin down the bar anyway, unhurried, and went back to polishing glasses that didn't need it. "You look well," Eva said. "London agrees with you." "London tolerates me. That's as far as it goes." Rory wrapped her hand around the glass. "You look..." She searched for a word that wasn't *different*, wasn't *frightening*, wasn't *like someone I don't know*. "Tall." Eva laughed, a real one, head tipped back. "Same five-foot-four, I promise. Though I've started wearing boots with a heel. You get to an age where you decide the world can look up at you for once." "Is that what happened?" "Sorry?" "The boots. The hair. The—" Rory touched her own ear, mirroring the scar. "You look like someone who decided things." Eva turned her glass in a slow circle on the bar. The ice had melted; neither of them had touched their drinks. "You never called me out on it, you know. The Sundays." "You never called either." "I know." A pause. "I kept meaning to. That's the pathetic bit. I had this ritual where I'd type the message and then I'd think, no, she's got her exams, or no, she's with what's-his-name, Evan, and I don't want to interrupt—" "Evan and I ended." "I heard. Eventually. Thirdhand. Some Cardiff gossip travelled down to—" Eva stopped herself. Took a sip of the gin. "It doesn't matter where I was. Point is, I heard, and I still didn't ring, because by then it had been a year and a year felt like an admission. Like ringing to say sorry would confirm that I'd done something worth being sorry for." "You left me in Cardiff." "You left first. You went to London and became a whole new person and I was still the girl who got us thrown out of the Vue cinema." "You got us thrown out of the Vue because you stood up during the trailers and shouted *rubbish* at a film that hadn't started." "It was rubbish. It was rubbish from the trailer." Rory smiled despite herself, and for a second they were nineteen again, sharing one portion of chips between three because none of them had cash, and the rain was Welsh rain, which was a different animal entirely from London rain. Then Eva's face settled, and the second woman came back. "I changed jobs," Eva said. "After. The thing with Evan. I was so angry, Rory. Not at him. At myself, for all the times I watched you flinch and said nothing. So I found work where being angry was useful. Where it was the whole point." "What kind of work?" "Advocacy. Investigations, mostly. People who've been failed by every official channel there is." Eva's fingers found the scar behind her ear, an absent gesture, like a woman touching a wedding ring. "It's good work. It's honest work. I'm good at it." "I didn't say you weren't." "You looked at me like you weren't sure I was still me." The jukebox in the corner clicked over. Something old, brass-heavy, a trumpet wandering through a smoky chord. Silas drifted to the far end of the bar with his cloth, close enough to listen, polite enough to seem like he wasn't. "Maybe I'm not sure," Rory said quietly. "Good." "Good?" "I'd worry about you if you weren't." Eva finally looked at her straight, and her eyes were still Eva's eyes, brown and warm and slightly too wide, the one thing the years hadn't touched. "Because I'm not sure either. Some mornings I get up and I'm twenty-three and purple-haired and I don't know how I got into this person's life. I stand in my kitchen in this flat with good locks and I think, whose kettle is this? Whose kettle am I using?" Rory thought of her own flat above the bar, the boxes she'd never unpacked, the small crescent scar on her wrist from a fall off Eva's garden wall when they were eleven. "So what do you do?" she asked. "On those mornings?" "I ring someone I owe a phone call." Eva reached across and put her hand over Rory's, cold fingers, bitten nails, calluses Rory couldn't account for. "Six years late. But I'm told the post gets there eventually." "You could have rung." "I'm ringing now." "Six years late." "Are you going to make me say it? Because I'll say it. I'll say it twice if you want, and you can bill me for the second one." The trumpet on the jukebox climbed and climbed and didn't resolve. Rory turned her hand over and laced her fingers through Eva's, and the scar on her wrist sat pale between their grips like a date, a coordinate, a mark on a map showing where two roads had split and, against all odds, crossed again. "Once," Rory said. "Once is enough." Silas set down two fresh glasses without being asked and limped back along the bar, and the rain kept up its work against the windows, and neither of them moved their hands.
created_at"2026-09-02T13:39:02.871Z" 9/2/2026, 1:39:02 PM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5324
moderation_latency(null)
generation_time82831
tokens_prompt1063
tokens_completion1695
native_tokens_prompt1004
native_tokens_completion1581
native_tokens_completion_images(null)
native_tokens_reasoning48
native_tokens_cached256
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)
usage0.00045519
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788356342-UlldHHpatLcexExowmQt"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788356342-ZbQOagcUkBckPYGybwCE"
upstream_id"20260902213903c2d0bc44efe64eda"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
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is_byokfalse
latency5323
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.00045519
cache_discount0.00003072
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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
totalTags16
adverbTagCount2
adverbTags
0"Eva turned back [back]"
1"Rory said quietly [quietly]"
dialogueSentences54
tagDensity0.296
leniency0.593
rawRatio0.125
effectiveRatio0.074
91.46% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1171
totalAiIsmAdverbs2
found
0
adverb"slowly"
count1
1
adverb"slightly"
count1
highlights
0"slowly"
1"slightly"
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)
91.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1171
totalAiIsms2
found
0
word"eyebrow"
count1
1
word"resolve"
count1
highlights
0"eyebrow"
1"resolve"
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
narrationSentences49
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences49
filterMatches
0"know"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences86
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen51
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans4
markdownWords8
totalWords1171
ratio0.007
matches
0"different"
1"frightening"
2"like someone I don't know"
3"rubbish"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions18
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount642
uniqueNames12
maxNameDensity2.65
worstName"Eva"
maxWindowNameDensity4.5
worstWindowName"Eva"
discoveredNames
Nest1
Eva17
Marsh2
Swansea1
Sunday2
Rory14
Silas4
Soho1
Wetherspoons1
Took1
Welsh1
London1
persons
0"Eva"
1"Rory"
2"Silas"
places
0"Marsh"
1"Swansea"
2"Soho"
3"Wetherspoons"
4"London"
globalScore0.176
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences35
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1171
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences86
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs52
mean22.52
std20.31
cv0.902
sampleLengths
044
122
234
31
42
551
625
74
872
99
106
116
1231
1345
149
1535
1637
174
181
1920
2022
2111
224
2342
244
2564
265
2728
2824
299
3040
3110
3246
334
3441
355
3612
3740
387
391
401
4183
4232
4310
4437
454
463
473
4828
4955
98.10% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences49
matches
0"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs109
matches
0"was already looking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences86
ratio0.012
matches
0"The ice had melted; neither of them had touched their drinks."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount646
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.03869969040247678
lyAdverbCount5
lyAdverbRatio0.007739938080495356
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences86
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences86
mean13.62
std12.15
cv0.892
sampleLengths
013
131
24
318
48
526
61
72
82
922
106
114
1217
1325
144
1520
162
1722
187
1921
209
214
222
236
2421
2510
262
2722
282
2919
305
314
3216
3318
341
358
3629
374
381
3913
407
4111
4211
4311
444
454
4638
474
4813
496
65.12% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.45348837209302323
totalSentences86
uniqueOpeners39
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences39
matches
0"Then a birthday text."
1"Then nothing but a name"
2"Then Eva's face settled, and"
ratio0.077
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences39
matches
0"She knew the face."
1"She knew it the way"
2"She crossed the floor slowly,"
3"Her hair was black now,"
4"She smiled, and the smile"
5"He slid a gin down"
6"She searched for a word"
ratio0.179
24.10% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount34
totalSentences39
matches
0"The green neon above the"
1"Rory pushed through into the"
2"She knew the face."
3"She knew it the way"
4"The woman set down her"
5"Sunday calls had lasted a"
6"She crossed the floor slowly,"
7"Eva turned back to the"
8"Eva had been soft-edged at"
9"This woman's cheekbones could have"
10"Her hair was black now,"
11"Rory's eyes stayed on it"
12"She smiled, and the smile"
13"Silas caught her eye from"
14"He slid a gin down"
15"Rory wrapped her hand around"
16"She searched for a word"
17"Eva laughed, a real one,"
18"Rory touched her own ear,"
19"Eva turned her glass in"
ratio0.872
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences39
matches(empty)
ratio0
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount2
matches
0"She crossed the floor slowly, as if quick movement might break whatever spell had put Eva Marsh on a stool in Silas's bar in Soho."
1"Rory smiled despite herself, and for a second they were nineteen again, sharing one portion of chips between three because none of them had cash, and the rain w…"
62.50% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount2
matches
0"Eva turned back, and the light caught her face, and Rory saw it then"
1"She smiled, and the smile was the old smile, and that was worse somehow"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount0
fancyTags(empty)
dialogueSentences54
tagDensity0.111
leniency0.222
rawRatio0
effectiveRatio0
87.3612%