Run: 2026-04-24-01KQ00VEHMW5YXJKEC5SQDSRDB

Run Details

Duration:
2m 52s
Cost:
$0.048851
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 above The Raven's Nest leaked into the Soho fog and turned the pavement sick. Rory pushed the door. A brass bell let out one dull note. Inside, the air hung thick with oak polish, stale hops, and the ghost of a thousand cigarettes. Black-and-white photographs crowded the walls—faces she didn't recognize, alleyways caught in grainy contrast, a cityscape violence had made beautiful. Creased maps peeled at their corners, pinned with rusted tacks. She sat on a stool at the far end of the bar and ran a thumb over the crescent scar on her left wrist. Her hair, straight and black and heavy with the London rain, clung to her jaw in wet blades. The Golden Empress logo on her jacket had begun to fray at the hem. Silas Blackwood emerged from the back room. His left leg dragged, the knee catching with a hitch he'd never corrected. The silver signet ring on his right hand caught the low light as he dried a tumbler. Grey ran through his auburn hair like fault lines through rock. His beard matched the color, cropped close. He stopped three feet from the taps. His gaze landed on her. "Aurora Carter." She looked up. Bright blue eyes. No smile. "Nobody uses that name anymore." "I do." He set the glass down. The ring tapped the mahogany. "Three nights you've walked the floorboards above my head. I wondered when you'd wander down for a drink instead of pacing." She peeled the jacket off her shoulders. The sleeves of her shirt had ridden up hours ago during a late delivery run; the scar remained visible, pale against her skin. She didn't cover it. "Didn't realize the flat came with surveillance." "It comes with thin ceilings and a man who listens." He retrieved a bottle from the shelf behind him. The label bore a faded crest and nothing else. He poured two fingers into a clean glass and slid it across the bar. The whiskey moved like liquid brass. She stared at it. "Last I heard, you were in Cardiff. Lecture halls. Student union debates that lasted until three in the morning." "Last I heard, you were in Prague. Running field agents through the snow, telling yourself the ends would salve the means." "That ended." He rapped his knuckle against his left thigh. The sound was dull, wrong, the impact of bone on something that had forgotten how to bend. "This ended it." She wrapped her fingers around the glass. The scar pressed against the cold crystal. In one motion she drank. The whiskey burned a path down her throat and pooled in her stomach like hot metal. She didn't cough. She didn't blink. She set the glass down with a crack sharp enough to make the photographs flinch. He watched her. "The girl I knew in Cardiff couldn't swallow bourbon without her eyes watering. She called it barbaric." "The girl you knew believed people were decent." She turned the glass in a half-circle. "Decency doesn't pay the rent. Decency doesn't unblock a toilet at two in the morning or keep a delivery scooter from stalling in the rain outside Holborn." Photographs stared from the walls in permanent judgment. The radiator hissed behind the bar. Silas limped around the counter. Each step measured, the left foot landing with a fractional drag. He stopped beside her and smelled of juniper, old wool, and the particular dust that clings to files long burned. "I wrote you." She laughed. The sound stripped the varnish from the room. "When? After Evan broke two of my ribs or after he convinced me my father's barrister robes would never hang on my shoulders?" "After you stopped answering. After Cardiff went silent." She stood. The stool scraped against the floorboards, a shriek of wood on wood. She walked to the wall where the maps hung. Her fingers traced a street grid in a language she couldn't read. "Letters don't stop fists, Silas. Phone calls don't undo three years." He gripped the edge of the bar. His right hand tightened until the silver ring bit into his finger and the knuckles went pale. "I should have come." She pulled her hand back from the map. Her nail caught a loose corner of paper. A speck of dust drifted down. "You were a continent away. Worried about spies and dead drops and whatever politician needed burying that week." "You were never a dead drop." "No?" She turned. The green neon from the window painted one side of her face in sickly light. "I was the girl who argued Geneva Conventions on pub tabletops. Who thought she could defend the world with a statute book. Then the world showed up at my door wearing Evan's face and you were nowhere." His jaw worked beneath the beard. She returned to the bar. She was shorter than him by half a foot, but she held her chin like someone measuring a distance that couldn't be crossed. "I needed a friend. You needed a victory." "You were both." The green neon outside buzzed and flickered. She reached into her pocket and dropped a crumpled ten-pound note on the bar. "I pay my debts." He pushed it back with the same hand that wore the ring. The paper slid through a spill of whiskey and stuck to the wood. "The room upstairs is yours. No rent. Not until you eat something that isn't salt and grease and regret." She almost smiled. The muscles in her cheek twitched and died. She turned toward the narrow stairs that led to the flat above. Her hand found the banister, paint tacky under her palm. She climbed one step. Two. Her shoulders rose and fell under the thin cotton of her shirt. "Silas." He waited. "You assumed too much." She held up her left wrist. The crescent caught the dim light, small and precise. "The scar's from a bicycle. Cardiff. Age nine. You don't know everything about me." She continued up. The floorboards groaned above him, each footfall deliberate. He stood alone among the maps and the photographs and the glasses no one had touched. The whiskey sat on the bar where she had left it, half-gone, the ice unmelted, holding its chill in the cold room.
created_at"2026-04-24T15:13:38.366Z" 4/24/2026, 3:13:38 PM
model"moonshotai/kimi-k2.6-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency396
moderation_latency(null)
generation_time171439
tokens_prompt1094
tokens_completion15285
native_tokens_prompt996
native_tokens_completion13755
native_tokens_completion_images(null)
native_tokens_reasoning13727
native_tokens_cached64
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"
usage0.0488511
router(null)
provider_responses
0
endpoint_id"a2828210-ff0a-4882-9a4f-cce2aca73946"
id"chatcmpl-RRY2KC2xVNE4OKokyLxbhPjD"
is_byokfalse
latency86
model_permaslug"moonshotai/kimi-k2.6-20260420"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777043618-HtXqcuWU8IadhiQfJ0hb"
session_id(null)
api_type"completions"
id"gen-1777043618-EQAWAVguyrsm08629r07"
upstream_id"chatcmpl-RRY2KC2xVNE4OKokyLxbhPjD"
total_cost0.0488511
cache_discount0.0000384
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences29
tagDensity0.069
leniency0.138
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1046
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
66.54% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1046
totalAiIsms7
found
0
word"crystal"
count1
1
word"stomach"
count1
2
word"measured"
count1
3
word"traced"
count1
4
word"flickered"
count1
5
word"footfall"
count1
6
word"chill"
count1
highlights
0"crystal"
1"stomach"
2"measured"
3"traced"
4"flickered"
5"footfall"
6"chill"
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
narrationSentences79
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences79
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences106
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1045
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions7
wordCount737
uniqueNames7
maxNameDensity0.14
worstName"Raven"
maxWindowNameDensity0
worstWindowName(null)
discoveredNames
Raven1
Nest1
Soho1
London1
Golden1
Empress1
Blackwood1
persons
0"Raven"
1"Nest"
2"Blackwood"
places
0"Soho"
1"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences56
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1045
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences106
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs51
mean20.49
std22.2
cv1.083
sampleLengths
0131
167
22
38
45
52
610
721
834
97
1010
1142
1219
1321
142
1525
163
1756
183
1917
208
217
2227
2314
2436
253
2610
2723
288
2935
3011
3124
324
3322
3418
356
3655
376
3828
398
403
4121
424
4325
4419
4511
4639
471
482
4933
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences79
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs124
matches(empty)
88.95% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences106
ratio0.019
matches
0"Black-and-white photographs crowded the walls—faces she didn't recognize, alleyways caught in grainy contrast, a cityscape violence had made beautiful."
1"The sleeves of her shirt had ridden up hours ago during a late delivery run; the scar remained visible, pale against her skin."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount743
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.012113055181695828
lyAdverbCount1
lyAdverbRatio0.0013458950201884253
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences106
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences106
mean9.86
std6.77
cv0.686
sampleLengths
017
14
28
317
419
510
624
718
814
97
1013
1117
1211
137
147
155
162
173
183
192
205
212
225
235
2421
257
2623
274
287
2910
309
319
3214
336
344
3519
3621
372
388
3917
403
417
427
435
4416
453
463
4715
483
4917
42.77% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.3018867924528302
totalSentences106
uniqueOpeners32
45.66% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences73
matches
0"Bright blue eyes."
ratio0.014
0.82% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount40
totalSentences73
matches
0"She sat on a stool"
1"Her hair, straight and black"
2"His left leg dragged, the"
3"His beard matched the color,"
4"He stopped three feet from"
5"His gaze landed on her."
6"She looked up."
7"He set the glass down."
8"She peeled the jacket off"
9"She didn't cover it."
10"He retrieved a bottle from"
11"He poured two fingers into"
12"She stared at it."
13"He rapped his knuckle against"
14"She wrapped her fingers around"
15"She didn't cough."
16"She didn't blink."
17"She set the glass down"
18"He watched her."
19"She turned the glass in"
ratio0.548
1.10% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount67
totalSentences73
matches
0"The green neon above The"
1"Rory pushed the door."
2"A brass bell let out"
3"She sat on a stool"
4"Her hair, straight and black"
5"The Golden Empress logo on"
6"Silas Blackwood emerged from the"
7"His left leg dragged, the"
8"The silver signet ring on"
9"His beard matched the color,"
10"He stopped three feet from"
11"His gaze landed on her."
12"She looked up."
13"He set the glass down."
14"The ring tapped the mahogany."
15"She peeled the jacket off"
16"The sleeves of her shirt"
17"She didn't cover it."
18"He retrieved a bottle from"
19"The label bore a faded"
ratio0.918
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences73
matches(empty)
ratio0
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount2
matches
0"The sound was dull, wrong, the impact of bone on something that had forgotten how to bend."
1"He stopped beside her and smelled of juniper, old wool, and the particular dust that clings to files long burned."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
84.7024%