Run: 2026-05-10-01KR8X0STBM5SRVJW609MYP3V3

Run Details

Duration:
52.3s
Cost:
$0.000774
Provider:
DeepInfra

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 sign of The Raven's Nest flickered, casting a rhythmic, sickly emerald hue over the rain-slicked Soho pavement. Inside, the air tasted of stale hops and expensive tobacco. Old maps of forgotten empires peeled from the walls, their edges curling like dried skin. Silas Blackwood leaned against the mahogany bar, his silver signet ring clicking against a crystal tumbler of neat scotch. He shifted his weight, his left knee popping with a dull, familiar ache. Aurora slid onto a leather stool, her delivery jacket still damp. She dropped a stack of order slips on the counter. "Yu-Fei wants the weekend shift covered, Silas. I told her I'm flat broke, but she doesn't care about the economy." Silas didn't look up from his drink. "The economy is a suggestion, Rory. Your work ethic is a requirement." A bell chimed as the heavy oak door swung open. A man stepped in, shaking a black umbrella. He wore a tailored charcoal suit that cost more than Aurora’s annual rent, and his hair was swept back with a precision that felt clinical. He paused, scanning the dim room with an expression of mild distaste. Aurora froze. The glass of water in her hand trembled. The man’s gaze locked onto her, and the clinical distance in his eyes shattered into something raw and hungry. "Laila?" The name hit her like a physical blow. She hadn't been Laila in three years. Not since the bruises had faded and the locks on her door had been changed. Evan stepped forward, the scent of sandalwood and cold rain trailing after him. He stopped three feet away, his polished Oxfords gleaming under the amber lights. He looked older, the boyish softness of his jaw replaced by a hard, angular line, but the intensity in his eyes remained—a predatory focus that made the hair on Aurora's neck prickle. "You look... different." Aurora straightened her spine, her fingers brushing the crescent-shaped scar on her left wrist. "It's Aurora now." Evan blinked, a small, tight smile twitching at the corner of his mouth. "Still fighting me on the details. Some things never change." Silas cleared his throat, a low rumble that sounded like a warning. He didn't move from his spot, but his hazel eyes tracked Evan with the cold calculation of a man who had spent decades dismantling threats. "You want a drink, friend? Or are you just here for the atmosphere?" Evan ignored the bartender, his focus anchored entirely on Aurora. "I heard you went back to Cardiff. Then I heard you vanished. I spent six months looking for you, Laila. Do you have any idea how that felt? The silence?" "I liked the silence." Evan stepped closer, invading her personal space. He reached out as if to touch her shoulder, but Aurora flinched, sliding an inch further down the stool. His hand hovered in the air, fingers curling into a fist before he slowly dropped his arm. "I've changed. I've done the work. The anger, the... volatility. It's gone. I’m a partner at the firm now." "Congratulations on the promotion." "I didn't come here to talk about my career." He signaled Silas for a drink without looking away from her. Silas poured a measure of gin with a slow, deliberate motion, sliding the glass across the bar. "You left without a word. No letter. No phone call. Just a ghost in a rented flat." "I left because I couldn't breathe." Evan took a sip of the gin, his throat bobbing. He looked around the bar, his lip curling slightly at a faded map of Prague. "And this is where you've landed? Delivering noodles in a basement bar in Soho? You were meant for the courts, Laila. Your father’s legacy—" "My father's legacy is a set of dusty law books and a penchant for silence. I'm not his trophy." "You're wasting your mind." Aurora laughed, a short, sharp sound. "I can think for myself now. That's the part you hated the most." The silence that followed grew heavy, filled only by the low hum of the refrigerator and the distant wail of a siren on the street outside. Evan’s expression softened, a flicker of the man she had once loved appearing through the veneer of the executive. For a second, the tension shifted from fear to a suffocating kind of nostalgia. "I missed the way you used to argue. The way you'd find the one flaw in my logic and tear it apart until I had nothing left to say." "I'm still doing that. You're just not listening." Evan leaned in, his voice dropping to a low, intimate murmur. "Come have dinner with me. Just one night. We can talk about everything. I can help you, Aurora. I can get you back into school, get you a position that doesn't involve a delivery bag." Aurora looked at Silas. The older man was watching her, his expression neutral, but his hand rested casually near a heavy brass paperweight on the bar. "I don't need help." "You're drowning in a life that's beneath you." "Maybe I like the bottom. It's a lot quieter than the top." Evan’s face hardened. The softness vanished, replaced by that familiar, simmering frustration. The mask slipped, revealing the impatient man who viewed the world as a series of obstacles to be managed. "You're playing a part, aren't you? The struggling artist of the working class. It's a phase. You'll wake up in five years and realize you've thrown your life away for a sense of independence that doesn't pay the bills." Aurora stood up, the stool screeching against the floor. She didn't look at him; she looked at her reflection in the mirrored backsplash of the bar, seeing the woman she had built from the wreckage. "I'd rather be broke and breathe than be rich and choke." Evan sighed, a sound of profound disappointment. He set the glass down on the mahogany with a sharp click. "You're still so stubborn. It was always your most irritating quality." "I'll add it to the list." Evan turned to Silas, his voice returning to its polished, professional clip. "Your staff is remarkably rude. I'll be sure to mention it in a review." Silas didn't blink. "My bar doesn't take reviews. We take cash." Evan glared at Aurora one last time, a look that searched for a crack in her armor. Finding none, he turned and walked toward the door. He paused at the threshold, the green neon light painting his face in ghostly stripes. "I'm staying at the Savoy for the week. If you find your ambition again, you know where I am." The door clicked shut behind him. The silence returned, but it felt lighter, as if a physical weight had been lifted from the room. Aurora slumped back onto the stool, her shoulders dropping. She stared at the ring of condensation the gin glass had left on the bar. "He hasn't changed a bit," Silas remarked, sliding a fresh glass of water toward her. "He thinks he has." "The most dangerous people are the ones who believe their own lies about growth." Aurora traced the crescent scar on her wrist, her blue eyes distant. "He almost sounded sincere." "Sincerity is a tool for people who want something." Silas reached over and took the order slips, tossing them into the bin. "Go upstairs, Rory. You've had enough work for one day."
created_at"2026-05-10T12:15:31.156Z" 5/10/2026, 12:15:31 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency260
moderation_latency(null)
generation_time51743
tokens_prompt1094
tokens_completion1869
native_tokens_prompt1048
native_tokens_completion1678
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)
usage0.00077388
router(null)
provider_responses
0
endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id"chatcmpl-RWfAbWa1azSYxh3w3GJs2lQn"
is_byokfalse
latency52
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778415331-XrRnpflrbXtLYy8xZfs3"
session_id(null)
api_type"completions"
id"gen-1778415331-yWOpVFqile4pPC4XjGlJ"
upstream_id"chatcmpl-RWfAbWa1azSYxh3w3GJs2lQn"
total_cost0.00077388
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences37
tagDensity0.027
leniency0.054
rawRatio0
effectiveRatio0
91.90% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1235
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)
6.88% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1235
totalAiIsms23
found
0
word"flickered"
count1
1
word"rhythmic"
count1
2
word"crystal"
count1
3
word"weight"
count2
4
word"familiar"
count2
5
word"scanning"
count1
6
word"trembled"
count1
7
word"shattered"
count1
8
word"gleaming"
count1
9
word"intensity"
count1
10
word"silence"
count5
11
word"flicker"
count1
12
word"tension"
count1
13
word"simmering"
count1
14
word"sense of"
count1
15
word"profound"
count1
16
word"traced"
count1
highlights
0"flickered"
1"rhythmic"
2"crystal"
3"weight"
4"familiar"
5"scanning"
6"trembled"
7"shattered"
8"gleaming"
9"intensity"
10"silence"
11"flicker"
12"tension"
13"simmering"
14"sense of"
15"profound"
16"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
narrationSentences59
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences59
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences95
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1234
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
65.91% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions42
wordCount773
uniqueNames10
maxNameDensity1.68
worstName"Aurora"
maxWindowNameDensity3
worstWindowName"Evan"
discoveredNames
Raven1
Nest1
Soho1
Blackwood1
Aurora13
Laila1
Oxfords1
Evan12
Silas10
Prague1
persons
0"Raven"
1"Nest"
2"Blackwood"
3"Aurora"
4"Laila"
5"Evan"
6"Silas"
places
0"Soho"
1"Prague"
globalScore0.659
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount1
matches
0"sounded like a warning"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1234
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences95
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs65
mean18.98
std15.41
cv0.812
sampleLengths
077
121
220
37
412
555
629
71
830
958
103
1114
123
1313
1410
1537
1613
1710
1830
194
2043
2119
224
239
2428
2517
266
2725
2824
2919
304
316
3213
3359
3429
358
3611
3735
3826
394
408
4112
4231
4339
4435
4511
4619
4711
486
4912
87.42% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences59
matches
0"was swept"
1"been changed"
2"been lifted"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs121
matches
0"was watching"
82.71% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences95
ratio0.021
matches
0"He looked older, the boyish softness of his jaw replaced by a hard, angular line, but the intensity in his eyes remained—a predatory focus that made the hair on Aurora's neck prickle."
1"She didn't look at him; she looked at her reflection in the mirrored backsplash of the bar, seeing the woman she had built from the wreckage."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount776
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.01804123711340206
lyAdverbCount7
lyAdverbRatio0.00902061855670103
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences95
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences95
mean12.99
std7.47
cv0.575
sampleLengths
020
110
215
319
413
511
610
720
87
912
1010
118
1225
1312
142
158
1619
171
188
197
2015
2113
2213
2332
243
2514
263
2713
2810
2912
3025
3113
3210
3330
344
357
3619
3717
3819
394
409
4111
4217
4317
446
4510
4615
4724
4819
494
40.53% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.28421052631578947
totalSentences95
uniqueOpeners27
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences58
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences58
matches
0"He shifted his weight, his"
1"She dropped a stack of"
2"He wore a tailored charcoal"
3"He paused, scanning the dim"
4"She hadn't been Laila in"
5"He stopped three feet away,"
6"He looked older, the boyish"
7"He didn't move from his"
8"He reached out as if"
9"His hand hovered in the"
10"He signaled Silas for a"
11"He looked around the bar,"
12"She didn't look at him;"
13"He set the glass down"
14"He paused at the threshold,"
15"She stared at the ring"
ratio0.276
3.10% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount53
totalSentences58
matches
0"The green neon sign of"
1"Silas Blackwood leaned against the"
2"He shifted his weight, his"
3"Aurora slid onto a leather"
4"She dropped a stack of"
5"Silas didn't look up from"
6"A bell chimed as the"
7"A man stepped in, shaking"
8"He wore a tailored charcoal"
9"He paused, scanning the dim"
10"The glass of water in"
11"The man’s gaze locked onto"
12"The name hit her like"
13"She hadn't been Laila in"
14"Evan stepped forward, the scent"
15"He stopped three feet away,"
16"He looked older, the boyish"
17"Aurora straightened her spine, her"
18"Evan blinked, a small, tight"
19"Silas cleared his throat, a"
ratio0.914
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences58
matches(empty)
ratio0
73.17% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount4
matches
0"He looked older, the boyish softness of his jaw replaced by a hard, angular line, but the intensity in his eyes remained—a predatory focus that made the hair on…"
1"He didn't move from his spot, but his hazel eyes tracked Evan with the cold calculation of a man who had spent decades dismantling threats."
2"The silence that followed grew heavy, filled only by the low hum of the refrigerator and the distant wail of a siren on the street outside."
3"The mask slipped, revealing the impatient man who viewed the world as a series of obstacles to be managed."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
81.7209%