Run: 2026-09-24-01M39VTJD0XD92EAZXYNVV6XSA

Run Details

Duration:
2m 19s
Cost:
$0.008041
Provider:
AionLabs

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
Rain hammered the green neon above the door until the light bled through the window and turned the puddles on Old Compton Street the colour of pond water. Rory shouldered into The Raven's Nest with the delivery bag still strapped to her back, steam of chilli oil and sesame rising off the thermal box into the cold. Silas looked up from the optics, cloth in hand, and read her the way he read everyone. "Yu-Fei ran short on drivers. I got Soho, Mayfair, and a man in Pimlico who answered the door in a dressing gown and no intention of paying." "You charged him the dressing gown." "I charged him the dressing gown and a delivery fee for the humiliation." She unslung the bag, set her keys on the bar. "Pint, then. I'll take it up." "We're out of pints. You'll have the good malt and be grateful." That was when the woman at the far end of the bar turned on her stool. Camel coat draped over the backrest like something worth more than Rory's rent. Gold at the throat, small and exact. Hair cut sharp at the jaw, not a strand disturbed by the weather outside. The face beneath was older, thinner, arranged — every feature set in its place like cutlery before a dinner party. But the eyes were the same grey, and they went wide, and for one breath the whole arrangement came apart. "Rory." The keys dug into her palm. "Eva." "Here. Yes." Eva laughed, and it was the wrong laugh, small and closed, a laugh filed down until it fit a boardroom. "I landed last night. I meant to write. I always mean to write." "How long has it been?" "Four years in January. Not that I'm counting." Eva's fingers found the stem of her glass and held it without drinking. "You look the same." "You don't." "Good or bad?" "I haven't decided." Silas set two glasses down without asking what they wanted — the good malt in front of Eva, the pint in front of Rory — and tapped the bar twice with his signet ring. "I'll be in the back. Nobody ever wants me." He limped toward the shelves of old paperbacks, pressed somewhere behind the second row, and the bookcase sighed shut behind him. Eva watched the seam in the shelf long after it sealed. "Your landlord has a door in his bookshelf." "He does." "And you live above a pub with a door in its bookshelf." "It's cheap and the heating works. Most days." Eva turned back, and her eyes did the thing they used to do when she'd decided not to ask. They had learned new disciplines, these eyes. "I'm here for a week. Maybe two. There's a firm in Gray's Inn that wants advice on something messy, and apparently I'm the person who does messy now." "You always were. You just used to do it for fun." "That was the trouble with us. We thought everything was for fun." Eva lifted her glass, held the smell of it, put it down untouched. "You smell like that noodle place. The Golden one." "Empress. I deliver for them three nights a week." "A delivery girl." "A delivery person. Yu-Fei is very clear about it." Eva's mouth curved, and for a second the curve belonged to a girl who had once stolen a tray of chips off a chip-shop counter in Cathays and fed half of it to gulls. Then it cooled. "I saw your mother in April. At your aunt's funeral. She told me you'd left him." The word landed flat, no padding around it. "I said I knew." "Did you?" "I said it like I knew. That's nearly the same thing in my profession." Rory drank. The pint was cold and honest and she needed a moment where her mouth had a job. On the walls, old maps of places that no longer had the same names hung beside black-and-white photographs of men who no longer had the same faces. "You got married," she said. "I saw it online. I didn't—" "Send a card. I know. You'd have hated the hats." "I'd have come." "I know that too. Eventually." Eva turned her ring once around her finger, a slow rotation, a wheel with no road under it. "It was in Singapore. Forty degrees in the church. My shoes stuck to the aisle." "You never wanted a church. You wanted a hill and everyone hungover." "People change their wants." "Do they? Or do they file them?" Eva looked at her then, properly, the way she used to look at teachers she was about to make cry. The look lasted three seconds and then she was someone else again, someone composed, and Rory realised she had missed the composed woman for four years without ever once missing her. Eva's gaze dropped to Rory's left hand, to the crescent scar at the wrist. "You still wear it." "It's not a fashion choice." "The canal wall. You were eleven. I dared you and you climbed it in the dark and came down on the railing." Eva's thumb traced the same arc on her own wrist, a habit Rory hadn't seen in fifteen years and recognised in half a second. "You never once blamed me. Not for that. Not for anything after." "That was the deal. You dare, I climb." "You climbed out of that flat too." Eva's voice lost its polish, grain showing through like bare wood under stripped varnish. "I sat outside in Priya's car with the engine running for two hours. Two hours, Rory, and I rehearsed what I'd say if he came out instead of you. And you got in with a bin bag and a toothbrush and you said, 'Right, where's the nearest place that does chips.' And I thought, she'll be fine. She'll always be fine. That's why I could leave." "You never said you were scared." "You never said thank you." The pint glass sweated between Rory's hands. Above the bar, the neon hummed at a frequency she'd stopped hearing years ago and heard now. "I called," Eva said. "November after I moved. And again in March. Twice is a coincidence, three times is begging, so I stopped at two." "I saw the calls." "I know you saw the calls. You have always been the person who sees everything and answers nothing." Eva picked up her malt and drank this time, a full swallow, her throat working. "I told myself you didn't need me anymore. You had the job, the flat, the man with the door in his bookshelf downstairs. It was easier to tell myself that than to say what it actually was." "Which was?" "Which was that staying in London meant watching you rebuild a life I couldn't be part of, because every time you looked at me you were twenty-two years old in a passenger seat, and I couldn't bear being the person you flinched at." Eva set the glass down with care, the way people set down things they might not pick up again. "So I went where nobody knew what I'd done. And it turns out you can build an entire person out of that. A whole woman. She's got a firm and a husband and shoes that stick to church floors. She's very accomplished." The old maps on the wall. The rain on the glass. Somewhere in the back, behind the shelf, a radio murmured through the wood. "I dare you," Rory said. "What?" "Old deal. You dare, I climb." She nodded at Eva's glass. "Finish that. And then you tell me the truth about something. Anything. One true thing, the kind you'd say in a car at two in the morning. I've got a flat upstairs and nowhere to be until Yu-Fei opens." Eva looked at her glass. Looked at the shelf with the door in it, at the photographs of men with borrowed faces, at the girl who had climbed everything she'd ever been dared to climb and come down bleeding every single time. "You want to know the true thing?" "I've waited four years for it." Eva turned the ring on her finger until the stone faced her palm, and looked at it, and looked up. "I keep waiting for someone to ask if I'm happy. Nobody asks. Everyone assumes." "Are you?"
created_at"2026-09-24T14:06:32.888Z" 9/24/2026, 2:06:32 PM
model"aion-labs/aion-3.5-mini-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1690
moderation_latency(null)
generation_time138349
tokens_prompt1063
tokens_completion5911
native_tokens_prompt996
native_tokens_completion5436
native_tokens_completion_images(null)
native_tokens_reasoning4004
native_tokens_cached512
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)
usage0.00804136
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790258792-eljNFj2VY3upQ500HEaU"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790258792-SBKWaxOkEViKLtUodfdw"
upstream_id"960a91f5ca0646969b883fc7d3c73153"
provider_responses
0
endpoint_id"60ac3bdc-90ec-4769-9193-2c00b4d79562"
id"960a91f5ca0646969b883fc7d3c73153"
is_byokfalse
latency1686
model_permaslug"aion-labs/aion-3.5-mini-20260923"
provider_name"AionLabs"
status200
total_cost0.00804136
cache_discount0.00026624
upstream_inference_cost0
provider_name"AionLabs"
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)
dialogueSentences65
tagDensity0.215
leniency0.431
rawRatio0
effectiveRatio0
92.81% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1391
totalAiIsmAdverbs2
found
0
adverb"very"
count2
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)
89.22% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1391
totalAiIsms3
found
0
word"charged"
count2
1
word"traced"
count1
highlights
0"charged"
1"traced"
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
narrationSentences45
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences45
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen66
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1394
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount685
uniqueNames9
maxNameDensity2.63
worstName"Eva"
maxWindowNameDensity4.5
worstWindowName"Eva"
discoveredNames
Old1
Compton1
Street1
Raven1
Nest1
Rory9
Eva18
Silas2
Cathays1
persons
0"Rory"
1"Eva"
2"Silas"
places
0"Old"
1"Compton"
2"Street"
3"Raven"
4"Cathays"
globalScore0.186
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences37
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1394
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences96
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs62
mean22.48
std24
cv1.068
sampleLengths
057
117
227
36
413
516
612
716
874
91
107
1135
125
1325
142
153
163
1764
1819
192
2012
218
2254
2311
2434
259
263
279
2865
292
3014
3146
3211
3310
343
3538
3612
374
387
3951
4018
415
4258
438
4487
456
465
4724
4825
494
97.47% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences45
matches
0"been dared"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs108
matches(empty)
83.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences96
ratio0.021
matches
0"The face beneath was older, thinner, arranged — every feature set in its place like cutlery before a dinner party."
1"Silas set two glasses down without asking what they wanted — the good malt in front of Eva, the pint in front of Rory — and tapped the bar twice with his signet ring."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount685
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.033576642335766425
lyAdverbCount1
lyAdverbRatio0.00145985401459854
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean14.52
std12.89
cv0.888
sampleLengths
028
129
217
327
46
513
610
76
812
916
1013
117
1214
1320
1420
151
166
171
1822
1913
205
2121
224
232
243
253
2634
2730
2811
298
302
3112
328
3319
347
3528
3611
3725
389
399
403
419
4234
433
4424
454
462
4714
482
4917
65.28% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.4479166666666667
totalSentences96
uniqueOpeners43
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences41
matches
0"Then it cooled."
1"Somewhere in the back, behind"
ratio0.049
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount4
totalSentences41
matches
0"She unslung the bag, set"
1"He limped toward the shelves"
2"They had learned new disciplines,"
3"She nodded at Eva's glass"
ratio0.098
57.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount33
totalSentences41
matches
0"Rory shouldered into The Raven's"
1"Silas looked up from the"
2"She unslung the bag, set"
3"That was when the woman"
4"Camel coat draped over the"
5"Hair cut sharp at the"
6"The face beneath was older,"
7"The keys dug into her"
8"Eva laughed, and it was"
9"Eva's fingers found the stem"
10"Silas set two glasses down"
11"He limped toward the shelves"
12"Eva watched the seam in"
13"Eva turned back, and her"
14"They had learned new disciplines,"
15"Eva lifted her glass, held"
16"Eva's mouth curved, and for"
17"The word landed flat, no"
18"The pint was cold and"
19"Eva turned her ring once"
ratio0.805
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences41
matches(empty)
ratio0
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount2
matches
0"Eva's mouth curved, and for a second the curve belonged to a girl who had once stolen a tray of chips off a chip-shop counter in Cathays and fed half of it to g…"
1"Looked at the shelf with the door in it, at the photographs of men with borrowed faces, at the girl who had climbed everything she'd ever been dared to climb an…"
89.29% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount1
matches
0"Eva's voice lost, grain showing through like bare wood under stripped varnish"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"Eva laughed (laugh)"
dialogueSentences65
tagDensity0.062
leniency0.123
rawRatio0.25
effectiveRatio0.031
88.9847%