Run: 2026-05-10-01KR8YQDNREWRKYAYY1YANP0DJ

Run Details

Duration:
1m 22s
Cost:
$0.000847
Provider:
Io Net

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 of The Raven’s Nest hummed, casting a sickly emerald glow over the rain-slicked pavement of the Soho alley. Aurora pushed through the heavy oak door, the scent of stale gin and expensive tobacco hitting her like a physical blow. She adjusted the strap of her delivery bag, the weight of the lukewarm containers from Golden Empress pressing against her hip. Dust motes danced in the amber light of the bar. Old maps, yellowed and curled at the edges, clung to the walls like shed skin. Aurora scanned the room, her eyes settling on the familiar silhouette behind the polished mahogany counter. Silas moved with a rhythmic hitch, his left leg dragging slightly as he reached for a clean glass. The grey streaks in his auburn hair caught the light. He looked older, the lines around his hazel eyes etched deeper by shadows that hadn't been there three years ago. "The usual, Rory? Or did Yu-Fei finally give you a raise?" Silas polished the glass with a slow, deliberate motion. He didn't look up, but the corner of his mouth twitched. "The tips are better than the pay, Silas." Aurora slid onto a stool, the leather creaking under her. She rubbed her left wrist, her thumb tracing the crescent-shaped scar. "You look tired." Silas set the glass down with a muffled thud. He leaned his weight onto his right hand, the silver signet ring glinting. "London doesn't sleep, and neither does the rent. What brings you back to this corner of the world?" "I didn't realize I'd left." Aurora stared at the rows of amber liquids. She felt the phantom weight of her law textbooks, a life she had discarded in a frantic midnight escape from Cardiff. "You left a lot more than a city, Aurora." Silas reached for a bottle of bourbon, the liquid amber swirling against the glass. He pushed it toward her. "I heard about the law school. Your father must have been devastated." "My father thinks I'm a ghost. It's easier that way." Aurora took a sip. The burn in her throat provided a welcome distraction from the tightness in her chest. "Ghosts can still haunt a place." Silas leaned in, his gaze heavy. He didn't offer sympathy. He offered observation, a trait that had made him a legend in circles Aurora had only heard whispered about. "Is that what you're doing? Haunting the delivery routes?" "I'm eating, Silas. I'm breathing. That's enough for now." She looked away, focusing on a black-and-white photograph of a fog-drenched pier pinned to the wall. "You changed. Your eyes used to look for exits. Now they just look for things to break." Aurora gripped the edge of the bar. The wood felt cold and unforgiving. "I stopped looking for exits when I realized every door leads somewhere else." "Smart. Or perhaps just cynical." Silas straightened his posture, the quiet authority he carried smoothing the wrinkles in his waistcoat. "Cynicism is just realism with a grudge." A silence stretched between them, thick as the London fog. It wasn't the comfortable silence of their youth, spent huddled over shared notes in the Cardiff library. It was a heavy, pressurized thing, filled with the echoes of the phone calls she never made and the apologies he never sent. "Eva mentioned you were in town." Silas traced a ring of condensation on the bar top. "She talks too much." "She worries. There's a difference." "Is there?" Aurora turned her stool to face him fully. The neon light from the window bled into the room, staining her black hair a dark, bruised violet. "Why didn't you call? After the... incident in Cardiff?" Silas stopped his movement. His gaze remained fixed on the empty glass in front of him. "Some things are better left unsaid, Rory. Some bridges are meant to burn so you don't try to walk back across them." "I wasn't trying to walk back. I was trying to survive." "And did you?" The question hung in the air, stripped of judgment, merely asking for a fact. "I'm alive. Isn't that the bare minimum?" Silas offered a grim smile. He reached for a rag to wipe the counter, his movements methodical. "The bare minimum is a low bar. You were always meant for higher stakes." "I'm delivering noodles to Soho, Silas. There are no stakes here. Just hunger and traffic." "Hunger is a powerful motivator. Even for those who pretend they don't have it." He looked up, his hazel eyes piercing through the dim light. "I saw the news about the firm you were supposed to join. The one in London. They lost a bright mind. A real quick thinker." Aurora felt a sharp pang in her gut. She thought of the pristine desk, the heavy leather-bound volumes, and the man she had left behind in the wreckage of her old life. "That person doesn't exist anymore." "People don't die, Aurora. They just shed skins. They become something harder. Something more useful." "Is that what you call it? Useful?" She stood up, the stool scraping harshly against the floorboards. The sudden noise drew a few glances from the dark corners of the bar, but Silas remained unperturbed. "I have deliveries to finish." "The night is young. The streets are crowded." Silas didn't move to stop her, but his voice carried a weight that made her pause. "Don't run just because you've forgotten how to stand still." Aurora grabbed her bag, the strap digging into her shoulder. She turned toward the door, the green neon sign flickering overhead. "I'm not running. I'm just moving." "There's a fine line." She pushed through the door, the cold London air biting at her cheeks. The rain had turned into a fine, persistent mist. As she stepped into the street, the muffled sounds of Soho—the sirens, the distant shouting, the screech of tires—swallowed her whole. She walked, her pace steady, her eyes fixed on the pavement, refusing to look back at the green glow of the Nest.
created_at"2026-05-10T12:45:20.96Z" 5/10/2026, 12:45:20 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency333
moderation_latency(null)
generation_time81788
tokens_prompt1094
tokens_completion1544
native_tokens_prompt1048
native_tokens_completion1379
native_tokens_completion_images(null)
native_tokens_reasoning0
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)
usage0.0008467
router(null)
provider_responses
0
endpoint_id"0bc24d30-bd26-4fa8-968b-260c0011a4a5"
id"chatcmpl-96e226272c312e08"
is_byokfalse
latency333
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"Io Net"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778417120-tMG0whd604SnuJltVcRV"
session_id(null)
api_type"completions"
id"gen-1778417120-CUoIQQqjs0hKR13naHdJ"
upstream_id"chatcmpl-96e226272c312e08"
total_cost0.0008467
cache_discount(null)
upstream_inference_cost0
provider_name"Io Net"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
95.01% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1002
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"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)
10.18% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1002
totalAiIsms18
found
0
word"weight"
count4
1
word"scanned"
count1
2
word"familiar"
count1
3
word"rhythmic"
count1
4
word"etched"
count1
5
word"tracing"
count1
6
word"glinting"
count1
7
word"silence"
count2
8
word"comfortable"
count1
9
word"echoes"
count1
10
word"traced"
count1
11
word"methodical"
count1
12
word"pang"
count1
13
word"pristine"
count1
highlights
0"weight"
1"scanned"
2"familiar"
3"rhythmic"
4"etched"
5"tracing"
6"glinting"
7"silence"
8"comfortable"
9"echoes"
10"traced"
11"methodical"
12"pang"
13"pristine"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences51
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences51
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences87
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1000
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
66.79% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount661
uniqueNames9
maxNameDensity1.66
worstName"Silas"
maxWindowNameDensity2.5
worstWindowName"Aurora"
discoveredNames
Raven1
Nest2
Soho2
Golden1
Empress1
Cardiff2
Aurora10
London2
Silas11
persons
0"Raven"
1"Nest"
2"Aurora"
3"Silas"
places
0"Soho"
1"Golden"
2"Cardiff"
3"London"
globalScore0.668
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1000
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences87
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs61
mean16.39
std13.44
cv0.82
sampleLengths
063
141
248
311
420
58
621
73
822
918
105
1129
129
1319
1412
1510
1619
176
1829
199
209
2116
2217
2313
2413
255
2615
277
2850
296
3010
314
325
332
3426
359
3616
3722
3811
393
4014
417
4217
4314
4415
4514
4611
4725
4832
495
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences51
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs104
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences87
ratio0.011
matches
0"As she stepped into the street, the muffled sounds of Soho—the sirens, the distant shouting, the screech of tires—swallowed her whole."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount669
adjectiveStacks1
stackExamples
0"heavy leather-bound volumes,"
adverbCount7
adverbRatio0.01046337817638266
lyAdverbCount6
lyAdverbRatio0.008968609865470852
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences87
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences87
mean11.49
std5.7
cv0.496
sampleLengths
021
121
221
310
415
516
618
710
820
911
109
1111
128
1310
1411
153
169
1713
1818
195
208
2121
229
2314
245
2512
2610
274
2815
296
306
314
3219
339
349
3516
3617
377
386
3913
405
4115
427
4310
4417
4523
466
4710
484
495
50.19% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.3218390804597701
totalSentences87
uniqueOpeners28
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences51
matches(empty)
ratio0
63.14% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences51
matches
0"She adjusted the strap of"
1"He looked older, the lines"
2"He didn't look up, but"
3"She rubbed her left wrist,"
4"He leaned his weight onto"
5"She felt the phantom weight"
6"He pushed it toward her."
7"He didn't offer sympathy."
8"He offered observation, a trait"
9"She looked away, focusing on"
10"It wasn't the comfortable silence"
11"It was a heavy, pressurized"
12"His gaze remained fixed on"
13"He reached for a rag"
14"He looked up, his hazel"
15"She thought of the pristine"
16"She stood up, the stool"
17"She turned toward the door,"
18"She pushed through the door,"
19"She walked, her pace steady,"
ratio0.392
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount49
totalSentences51
matches
0"The green neon of The"
1"Aurora pushed through the heavy"
2"She adjusted the strap of"
3"Dust motes danced in the"
4"Aurora scanned the room, her"
5"Silas moved with a rhythmic"
6"The grey streaks in his"
7"He looked older, the lines"
8"Silas polished the glass with"
9"He didn't look up, but"
10"Aurora slid onto a stool,"
11"She rubbed her left wrist,"
12"Silas set the glass down"
13"He leaned his weight onto"
14"Aurora stared at the rows"
15"She felt the phantom weight"
16"Silas reached for a bottle"
17"He pushed it toward her."
18"Aurora took a sip."
19"The burn in her throat"
ratio0.961
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences51
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount1
matches
0"Silas didn't move to stop her, but his voice carried a weight that made her pause."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
82.6437%