Run: 2026-05-10-01KR92BKD3F2BMD1VC8FD7Z3V0

Run Details

Duration:
27.0s
Cost:
$0.001310
Provider:
SiliconFlow

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 outside The Raven's Nest hummed, a low-frequency vibration that pulsed through the floorboards and into the soles of Aurora’s boots. Rain streaked the windows, blurring the Soho streetlights into smudged halos of amber and red. Inside, the air tasted of cedarwood, spilled gin, and the damp wool of coats drying near the radiator. Aurora wiped a ring of condensation from the mahogany bar. Her shoulder ached from the weight of the delivery bags she’d lugged through the London drizzle, and the grease from the Golden Empress kitchen still clung to the scent of her skin. She pushed a stray lock of black hair behind her ear and focused on the rhythmic motion of the cloth. A woman sat in the corner booth, tucked beneath a framed, sepia-toned map of the Welsh coastline. She didn't belong in this dim, map-strewn sanctuary. The light from a single candle on her table caught the sharp edge of a tailored charcoal blazer and the glint of a heavy gold watch. Aurora paused, the cloth stilled against the wood. The woman’s profile was a silhouette of precision—high cheekbones, a jawline carved from granite, and hair pulled back into a knot so tight it looked painful. The woman turned her head. The candlelight hit her eyes, and the world tilted. Aurora’s grip tightened on the rag. The small, crescent-shaped scar on her left wrist throbbed, a phantom ache from a childhood fall in a Cardiff garden. "Eva?" The word barely escaped her throat. It felt heavy, like a stone dropped into a deep well. The woman froze. The poise didn't break, but the eyes shifted, a flicker of something raw breaking through the polished veneer. She set her glass down with a muted click. "Rory." Eva didn't stand. She remained anchored to the leather seat, her posture perfect, her expression an unreadable mask of expensive composure. Aurora walked around the bar. Each step felt deliberate, her boots thudding against the floorboards that Silas had polished only hours before. She stopped at the edge of the booth, the distance between them feeling wider than the years they had spent apart. "What are you doing in Soho?" Eva reached for her glass, her fingers long and manicured, the nails a deep, predatory red. She swirled the amber liquid inside. "Business. I moved to the City three years ago." "You never wrote. Not after the first few months." Eva’s gaze drifted to the maps on the wall, tracing the lines of old territories and forgotten borders. "The life I built required a certain level of... focus. Distractions had to be trimmed." Aurora pulled out the opposite chair. The wood groaned. She sat, feeling the grit of the city under her fingernails. "Trimming distractions. Is that what we were?" A shadow crossed Eva's face, gone before it could truly form. She leaned back, the silk of her blouse catching the light. "You look tired, Rory. You look like you never left the rain behind." Aurora looked down at her hands. They were red-raw from dishwater and cold wind. "I make a living. I stay under the radar. Just like we planned." "We didn't plan for this." Eva gestured vaguely at the dim, cluttered room, at the faded photographs of men in heavy coats and the scent of stale smoke. "We planned for you to get out. I helped you get out." "You helped me run. There's a difference." The silence stretched, filled only by the distant rumble of a passing bus and the steady, rhythmic buzz of the neon sign. Aurora watched a bead of condensation roll down Eva’s glass. It looked like a tear, but the woman remained perfectly still, a statue of success. "I heard about Evan," Eva said. Her voice was low, stripped of its earlier sharpness. Aurora felt the sudden, sharp sting in her chest. She forced her breathing to remain steady. "He's a memory. A bad one." "You deserved better than a frantic flight to London in the middle of the night." "I deserved a life that didn't feel like a crime scene." Aurora reached out, her hand hovering near the table, before she pulled it back. The distance felt insurmountable. The girl who had shared peppermint sweets and whispered secrets in a Cardiff bedroom was gone, replaced by this creature of sharp angles and cold currency. Eva’s eyes softened, just for a heartbeat. "I saw your name on a delivery manifest last month. I almost called. I sat with the phone in my hand for an hour." "Why didn't you?" Eva picked up her glass and took a slow, measured sip. "Because I didn't know who you'd be when you answered. And I didn't know who I'd be when I spoke." "You're a stranger, Eva." "And you're a ghost." Eva reached into her bag and pulled out a slim, leather wallet. She extracted a crisp note and slid it across the table. It sat there, white and stark against the dark wood. "I should go. I have a car waiting around the corner." Aurora stared at the money. It felt insulting, a transaction to settle a debt that had nothing to do with pounds or pence. "You're still doing it. The disappearing act." Eva stood. The movement was fluid, practiced. She smoothed the front of her blazer, her expression hardening back into the mask of the woman who conquered boardrooms. "It's not a disappearing act, Rory. It's just an evolution." She turned to leave, her heels clicking a sharp, rhythmic tempo against the floor. "Eva." The woman stopped, her back to Aurora. The shadows of the booth swallowed her shoulders. "The girl in Cardiff... she would have hated this." Eva didn't turn around. She didn't move. "The girl in Cardiff didn't survive the winter." The heavy door of The Raven's Nest swung open, letting in a gust of cold, damp air and the roar of the London night. Eva stepped into the street, her silhouette vanishing into the blur of headlights and umbrellas. Aurora remained in the booth, the single candle flickering in the draft. She looked at the money on the table. She looked at her scarred wrist. The green neon light hummed, indifferent to the weight of the silence left in the wake of the woman who had once been her entire world.
created_at"2026-05-10T13:48:47.916Z" 5/10/2026, 1:48:47 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2202
moderation_latency(null)
generation_time26582
tokens_prompt1094
tokens_completion3165
native_tokens_prompt1046
native_tokens_completion2962
native_tokens_completion_images(null)
native_tokens_reasoning1562
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)
usage0.00131032
router(null)
provider_responses
0
endpoint_id"eb382d64-dce1-42d5-b23d-6fefb91948a3"
id"chatcmpl-95b4a8e15f9797fe"
is_byokfalse
latency2191
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778420927-5Szkjx2R9oYH2XfukGjH"
session_id(null)
api_type"completions"
id"gen-1778420927-3OoYvbDTuTJMfsPDv7i8"
upstream_id"chatcmpl-95b4a8e15f9797fe"
total_cost0.00131032
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
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)
dialogueSentences27
tagDensity0.037
leniency0.074
rawRatio0
effectiveRatio0
90.53% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1056
totalAiIsmAdverbs2
found
0
adverb"truly"
count1
1
adverb"perfectly"
count1
highlights
0"truly"
1"perfectly"
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)
14.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1056
totalAiIsms18
found
0
word"pulsed"
count1
1
word"weight"
count2
2
word"rhythmic"
count3
3
word"sanctuary"
count1
4
word"glint"
count1
5
word"throbbed"
count1
6
word"flicker"
count1
7
word"perfect"
count1
8
word"unreadable"
count1
9
word"tracing"
count1
10
word"silk"
count1
11
word"silence"
count2
12
word"measured"
count1
13
word"stark"
count1
highlights
0"pulsed"
1"weight"
2"rhythmic"
3"sanctuary"
4"glint"
5"throbbed"
6"flicker"
7"perfect"
8"unreadable"
9"tracing"
10"silk"
11"silence"
12"measured"
13"stark"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"weight of words/silence"
count1
highlights
0"the weight of the silence"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences67
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences67
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences93
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1055
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount820
uniqueNames11
maxNameDensity1.59
worstName"Aurora"
maxWindowNameDensity3.5
worstWindowName"Eva"
discoveredNames
Raven2
Nest2
Aurora13
Soho1
London2
Golden1
Empress1
Welsh1
Cardiff2
Silas1
Eva13
persons
0"Raven"
1"Nest"
2"Aurora"
3"Silas"
4"Eva"
places
0"Soho"
1"London"
2"Golden"
3"Cardiff"
globalScore0.707
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount1
matches
0"looked like a tear, but the woman remaine"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1055
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences93
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs56
mean18.84
std14.9
cv0.791
sampleLengths
057
162
251
334
414
526
61
717
830
91
1021
1143
126
1322
149
159
1618
1715
1820
197
2022
2113
2214
2313
245
2523
2612
277
2847
2915
3016
316
3215
3311
3444
357
3624
373
3811
3920
404
414
4233
4311
4423
457
4627
4710
4814
491
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences67
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs125
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences93
ratio0.011
matches
0"The woman’s profile was a silhouette of precision—high cheekbones, a jawline carved from granite, and hair pulled back into a knot so tight it looked painful."
82.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount826
adjectiveStacks3
stackExamples
0"framed, sepia-toned map"
1"dim, map-strewn sanctuary."
2"small, crescent-shaped scar"
adverbCount19
adverbRatio0.023002421307506054
lyAdverbCount6
lyAdverbRatio0.007263922518159807
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences93
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences93
mean11.34
std6.93
cv0.611
sampleLengths
024
115
218
310
432
520
617
78
826
98
1026
115
129
136
1420
151
166
1711
183
1918
209
211
223
2318
245
2517
2621
276
2816
296
309
319
3218
3315
346
353
3611
377
3811
3911
4013
416
428
4313
445
4523
4612
477
4822
4910
41.40% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.23655913978494625
totalSentences93
uniqueOpeners22
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences65
matches(empty)
ratio0
84.62% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences65
matches
0"Her shoulder ached from the"
1"She pushed a stray lock"
2"She didn't belong in this"
3"It felt heavy, like a"
4"She set her glass down"
5"She remained anchored to the"
6"She stopped at the edge"
7"She swirled the amber liquid"
8"She sat, feeling the grit"
9"She leaned back, the silk"
10"They were red-raw from dishwater"
11"It looked like a tear,"
12"Her voice was low, stripped"
13"She forced her breathing to"
14"She extracted a crisp note"
15"It sat there, white and"
16"It felt insulting, a transaction"
17"She smoothed the front of"
18"She turned to leave, her"
19"She didn't move."
ratio0.338
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount64
totalSentences65
matches
0"The green neon sign outside"
1"Rain streaked the windows, blurring"
2"Aurora wiped a ring of"
3"Her shoulder ached from the"
4"She pushed a stray lock"
5"A woman sat in the"
6"She didn't belong in this"
7"The light from a single"
8"Aurora paused, the cloth stilled"
9"The woman’s profile was a"
10"The woman turned her head."
11"The candlelight hit her eyes,"
12"Aurora’s grip tightened on the"
13"The small, crescent-shaped scar on"
14"The word barely escaped her"
15"It felt heavy, like a"
16"The woman froze."
17"The poise didn't break, but"
18"She set her glass down"
19"Eva didn't stand."
ratio0.985
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences65
matches(empty)
ratio0
84.94% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount3
matches
0"The girl who had shared peppermint sweets and whispered secrets in a Cardiff bedroom was gone, replaced by this creature of sharp angles and cold currency."
1"She smoothed the front of her blazer, her expression hardening back into the mask of the woman who conquered boardrooms."
2"The green neon light hummed, indifferent to the weight of the silence left in the wake of the woman who had once been her entire world."
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
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences27
tagDensity0.037
leniency0.074
rawRatio0
effectiveRatio0
81.6086%