Run: 2026-09-02-01M1GV5NXET1P6ZHP88SC8KZ4Y

Run Details

Duration:
8m 6s
Cost:
$0.049094
Provider:
Z.AI

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The rain came down like it was being paid by the hour, and Soho wore it badly — neon smeared across wet tarmac, umbrellas shouldering past the kebab shops and the shuttered theatres. The Raven's Nest sat dark in the middle of it all, its green sign buzzing above the door, patient as a lighthouse. Inside, the light was low and amber, and the walls did their usual quiet boasting: old maps, black-and-white photographs, faces and places that Silas never explained and Rory had long ago stopped asking about. Somewhere behind the bookshelf at the back was a room she wasn't supposed to know about. She'd lived above the bar long enough to read the shape of Silas's silences, and that bookshelf was the shape of most of them. She took the stool at the end, where she always sat, her red Golden Empress jacket folded on the one beside it, the gold dragon on the back gone threadbare at one wing. Her shift had ended an hour ago. Eight hours on the bike, and the rain had found the gap at her collar exactly once, which for October was a victory. The last carton of Yu-Fei's dan dan noodles sat empty in front of her, smelling of sesame and chili oil, and Silas was down the far end of the bar with a cloth and a glass, doing the slow, thorough polishing of a man who had once done slower, more thorough things for a living. The door opened at half nine. A man came in shaking rain off a charcoal coat that had cost more than her month, and she knew him before she could have said how. Time had put money on him — filled out the jaw, tailored the hair, swapped the charity-shop jumper for a watch with actual weight — but the eyes hadn't changed: quick, brown, always half a second from an argument. He stood at the bar waiting to be noticed, and out of habit he scanned the room, and the scan stopped on her. "Rory?" For one professional second she considered being someone else. Old reflex. She'd spent two years learning how to be nobody in particular, and the skill didn't leave you just because you'd stopped needing it. "Hello, Rhys." He sat down like the stool had been holding his place. "God. How long has it —" "Three years." She turned her glass a quarter turn. "Three and a half." The half came out before she could stop it, and she watched him take the hit of it — the plain arithmetic that she'd counted. Silas came down the bar, unhurried, the limp in his left leg marking time like a metronome. He looked at Rhys the way he looked at anyone new near Rory: once, completely, and without seeming to. "What'll it be?" "Er — wine list?" "Red, white, or what I'm having." "What are you having?" "Whisky." "Whisky, then." Silas poured it. Rory noticed the ring on Rhys's finger when he lifted the glass — plain, pale gold. She hadn't got that far in her inventory. "Married?" "June. Priya. She's in comms." He said it the way people read out a train time. "Congratulations." "Thank you." He looked at the jacket on the next stool, at the dragon, at her. "So what are you — are you still in Cardiff? Are you —" "I deliver food for the Golden Empress. Chinese place off Wardour Street." She watched his face arrange itself, the pity being folded and put away somewhere formal. "It's honest work, I'm on a bike instead of in an office, and nobody asks my opinion about anything. It's the best job I've ever had." "You always hated the law." "I never got far enough to hate it properly." She shrugged. "Three years of a degree I didn't finish. My dad thinks I'm between things." "Are you?" "It's been three years of between. It's basically a place now. I've got a flat upstairs. I've got keys. It's fine." He nodded, and drank, and neither of them said anything for a moment, and the rain worked at the window. "You used to stand on the law library steps," she said, "in first week, first term, telling anyone who'd hold still that you were going to do legal aid. Asylum work. You said the system was a machine for grinding the poor and somebody had to stand in the gears." He laughed — a short, wrong-sounding laugh. "God." "Do you still?" "I do pro bono. A day a month." "A day a month." "Don't." He turned the glass by its base. "I'm at Maitland Voss. Commercial." "What does Maitland Voss defend?" "The people I wanted to fight." He said it without flinching, which was its own kind of flinch. "Beautifully, mind. We're very good. I'm very well paid to be very good at something I used to think was the point of everything not to do." "There's a version of that sentence that ends 'and I'm happy.'" "There's a version," he agreed, and drank again, like a man paying for something. The neon buzzed. Down the bar Silas set a glass down with the small careful click of the signet ring against wood, keeping half an ear the way he did. "You walked me home once," Rory said. "After the March moots, second year. You walked me all the way to the gate on Cathal Brugha Street, and then you stopped walking." "I remember." "You stopped walking, and then you didn't stop talking. You said, 'See you Monday.'" "I remember," he said, quieter. "I stood at that gate long enough to be stupid about it." "I know." His knuckles had gone pale around the glass. "I liked you. Properly. You knew that." "I knew that." "And I stood there and did the maths on it — your father thought I had a career ahead of me, and Evan was —" He stopped. He'd said the name. She let it sit there between them, third person at the table, and her thumb found the small crescent scar on her left wrist, old and innocent, from a fall off a wall when she was nine, and pressed down on it the way you press on something that only ever hurts on purpose. "When you left," Rhys said, "Eva told everyone nothing. I asked her outright. She looked at me like I'd asked her the time in a language she didn't speak." "Eva tells nothing. It's her best quality." "There was a Monday," he said. "Contracts seminar, second year. You pushed your sleeves up to take notes. There were four marks on your arm. Like fingertips." She looked at the maps. Lisbon. Trieste. Places she'd never asked Silas about. "I told myself it was nothing," Rhys said. "Then I told myself it was your business, which is what cowards call it. And I sat two seats away from you every week for a year and I never once asked." "If you'd asked, I'd have lied." "I know." "To everyone. Especially you." "Especially you," he agreed. "But I'd have known you were lying. And you'd have known I knew. That's — that's not nothing, Rory. That's one person seeing." She turned her glass another quarter. The rain kept on. Outside, a bus went by and dragged the green light across the floor and took it away again. "I texted you on your birthday," he said. "Two years running. Third year it bounced." "Eva had me change the number." He nodded at his whisky. "Are you happy?" Nobody asked that in London. She let the question stand there in the space where the lies usually went. "I'm safe," she said. "Turns out that's most of it." He breathed out slowly, as if she'd said something much larger, and maybe she had. "Priya asked me that once," he said. "I told her I was busy." His phone buzzed back to life on the bar — nine missed things, colleagues somewhere louder, a life with his name on it in expensive ink. He looked at it like a summons and stood, and took a card out of his wallet and laid it flat beside her glass, careful, the way you lay down evidence. RHYS MORGAN, MAITLAND VOSS. A number with a London code. "If you're ever —" He didn't finish it. At the door he stopped, framed in the wet green light, half-turned. "See you Monday," he said, and was gone into the rain. Silas came down the bar at his own pace, collected the glass, tapped wood once with the ring. His hazel eyes went to the card and didn't pretend otherwise. "Friend of yours?" "He was," Rory said. "University." She turned the card over. The back was blank. She slid it into the pocket of the red jacket, in with the receipts and the rain, and Silas refilled her glass without being asked. "You going to call it?" "Ask me Monday," she said. Above the door the green sign buzzed and ticked, keeping its one bright promise to the rain.
created_at"2026-09-02T10:38:25.72Z" 9/2/2026, 10:38:25 AM
model"z-ai/glm-5.3-20260816"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1224
moderation_latency(null)
generation_time486172
tokens_prompt846
tokens_completion11699
native_tokens_prompt826
native_tokens_completion11094
native_tokens_completion_images(null)
native_tokens_reasoning9123
native_tokens_cached768
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)
usage0.04909448
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788345505-p2LHxDyEizu0Ztwg9nDK"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788345505-1DhjOP923lYkjUFqdAGK"
upstream_id"20260902183825a2b58d3c006f4fdd"
provider_responses
0
endpoint_id"db975786-e7f6-4838-9e56-3e0b77f1bdc2"
id"20260902183825a2b58d3c006f4fdd"
is_byokfalse
latency1224
model_permaslug"z-ai/glm-5.3-20260816"
provider_name"Z.AI"
status200
total_cost0.04909448
cache_discount0.00087552
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
totalTags22
adverbTagCount0
adverbTags(empty)
dialogueSentences71
tagDensity0.31
leniency0.62
rawRatio0
effectiveRatio0
83.38% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1504
totalAiIsmAdverbs5
found
0
adverb"completely"
count1
1
adverb"very"
count3
2
adverb"slowly"
count1
highlights
0"completely"
1"very"
2"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)
93.35% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1504
totalAiIsms2
found
0
word"weight"
count1
1
word"scanned"
count1
highlights
0"weight"
1"scanned"
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
narrationSentences73
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences73
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences122
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen56
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1515
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions27
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount949
uniqueNames11
maxNameDensity0.95
worstName"Silas"
maxWindowNameDensity1.5
worstWindowName"Silas"
discoveredNames
Soho1
Raven1
Nest1
Silas9
Rory5
Golden1
Empress1
October1
Yu-Fei1
Rhys4
London2
persons
0"Raven"
1"Nest"
2"Silas"
3"Rory"
4"Yu-Fei"
5"Rhys"
places
0"Soho"
1"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences47
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1515
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences122
matches
0"places that Silas"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs72
mean21.04
std24.51
cv1.165
sampleLengths
0129
1118
272
323
41
534
62
717
813
925
1039
114
126
134
141
152
1627
171
1816
191
2029
2153
225
2325
242
2521
2620
2750
288
293
308
314
3213
335
3445
3511
3614
3730
3831
392
4014
415
4212
4317
443
4585
4629
477
4827
4913
86.04% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences73
matches
0"being paid"
1"being folded"
2"was gone"
3"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs161
matches(empty)
2.34% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences122
ratio0.049
matches
0"The rain came down like it was being paid by the hour, and Soho wore it badly — neon smeared across wet tarmac, umbrellas shouldering past the kebab shops and the shuttered theatres."
1"Time had put money on him — filled out the jaw, tailored the hair, swapped the charity-shop jumper for a watch with actual weight — but the eyes hadn't changed: quick, brown, always half a second from an argument."
2"The half came out before she could stop it, and she watched him take the hit of it — the plain arithmetic that she'd counted."
3"Rory noticed the ring on Rhys's finger when he lifted the glass — plain, pale gold."
4"He laughed — a short, wrong-sounding laugh."
5"His phone buzzed back to life on the bar — nine missed things, colleagues somewhere louder, a life with his name on it in expensive ink."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount777
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.029601029601029602
lyAdverbCount3
lyAdverbRatio0.003861003861003861
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences122
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences122
mean12.42
std11.28
cv0.908
sampleLengths
033
122
234
316
424
533
67
723
855
96
1027
1139
1223
131
149
152
1623
172
1811
196
209
214
2225
2317
2419
253
264
276
284
291
302
313
3216
338
341
3516
361
3716
3813
3927
4026
415
4211
4314
442
4521
4620
4750
487
491
73.77% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.4918032786885246
totalSentences122
uniqueOpeners60
57.47% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences58
matches
0"Somewhere behind the bookshelf at"
ratio0.017
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences58
matches
0"She'd lived above the bar"
1"She took the stool at"
2"Her shift had ended an"
3"He stood at the bar"
4"She'd spent two years learning"
5"He sat down like the"
6"She turned her glass a"
7"He looked at Rhys the"
8"She hadn't got that far"
9"He said it the way"
10"He looked at the jacket"
11"She watched his face arrange"
12"He nodded, and drank, and"
13"He laughed — a short,"
14"He turned the glass by"
15"He said it without flinching,"
16"he agreed, and drank again,"
17"he said, quieter"
18"His knuckles had gone pale"
19"He'd said the name."
ratio0.552
28.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount50
totalSentences58
matches
0"The rain came down like"
1"The Raven's Nest sat dark"
2"She'd lived above the bar"
3"She took the stool at"
4"Her shift had ended an"
5"The last carton of Yu-Fei's"
6"The door opened at half"
7"A man came in shaking"
8"Time had put money on"
9"He stood at the bar"
10"She'd spent two years learning"
11"He sat down like the"
12"She turned her glass a"
13"The half came out before"
14"Silas came down the bar,"
15"He looked at Rhys the"
16"Silas poured it."
17"Rory noticed the ring on"
18"She hadn't got that far"
19"He said it the way"
ratio0.862
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences58
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount1
matches
0"The last carton of Yu-Fei's dan dan noodles sat empty in front of her, smelling of sesame and chili oil, and Silas was down the far end of the bar with a cloth …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags22
uselessAdditionCount1
matches
0"he said, quieter"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags16
fancyCount2
fancyTags
0"he agreed (agree)"
1"he agreed (agree)"
dialogueSentences71
tagDensity0.225
leniency0.451
rawRatio0.125
effectiveRatio0.056
84.1772%