Run: 2026-09-01-01M1EKXEW2VKR9WK73CX5VRKR2

Run Details

Duration:
36.7s
Cost:
$0.006600
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
Aurora pushed through the heavy door of The Raven’s Nest and the green neon sign above the entrance buzzed like a dying insect. The smell of stale ale and old parchment hit her first, then the dim amber light that clung to the walls covered in faded maps and black-and-white photographs of streets she no longer recognized. She had not stepped inside for three years, not since the night she fled Cardiff with nothing but a rucksack and a borrowed ticket to London. Silas Blackwood stood behind the bar, his grey-streaked auburn hair catching the bulb’s glow, his beard trimmed neat as a blade. He wore a steel-grey shirt, sleeves rolled to the elbow, the silver signet ring on his right hand glinting when he turned a glass. A slight limp dragged his left leg as he moved, the old knee injury from Prague making every step deliberate. At fifty-eight, he carried the weight of retired intelligence like a second skeleton beneath his clothes. “Rory,” he said, his voice low and unhurried. He did not raise his hands in greeting; he simply set a rag across the counter. “You’re walking different.” Aurora kept her hands out of sight, tucked into the pockets of her coat. The crescent scar on her left wrist throbbed, small and white, the ghost of a childhood accident that had always felt like a prophecy. Her straight black hair fell past her shoulders, black as ink, and her bright blue eyes scanned the room until they locked onto the figure seated at the corner booth. Eva sat with her spine against the wall, her profile sharp against the old photographs behind her. She had once been the kind of girl who laughed at lawyers and sang in train stations; now she wore a black leather jacket with the collar turned up, her hair shaved to a dark fuzz that revealed the shape of her skull. A thin line of silver jewelry looped through her left eyebrow. Her eyes, when she turned, were hollow and older than her twenty-six years. Aurora’s breath caught. Eva did not smile. “You look like a ghost with better lighting,” Eva said. The words landed between them like stones. Silas disappeared into the back, the hidden room behind the bookshelf silent, the secret space of the bar untouched by their reunion. Aurora crossed the floorboards, her height of five feet six inches carrying her with a quick, deliberate pace. She slid into the booth opposite Eva. The table surface was sticky with old beer and regret. “You shaved your head,” Aurora said. Eva ran a finger along the edge of her jaw, where a scar colored her skin like a map of the past. “You used to know every song in this city. Now you deliver noodles for Yu-Fei Cheung and live above my bar like a debt collector.” “I work part-time,” Aurora said, her voice cool, sharp, the cool-headed intelligence that had always driven her reappearing like armor. “I didn’t come back to talk about noodles.” “Then talk about why you vanished.” Aurora’s fingers found the crescent scar again. She did not pull her sleeve back, but the ache of it connected to the old pain of Evan’s name, the abusive ex she had fled, the pre-law studies she had abandoned at Cardiff University after her father’s barrister lectures had started to taste like prison bars. “I was afraid,” she said. Eva leaned forward. The motion was slow, heavy. “You were always afraid. The difference is now you’re running from something else.” The tension hissed in the air, thick as the smoke that clung to the ceiling. They had not spoken in years, not since Eva had beckoned Aurora to London and Aurora had left her family, her course, her name, behind in Cardiff. Now Aurora lived in the flat above Silas’ bar, working deliveries for the Golden Empress restaurant, carrying packages through the Soho streets with her hair straight and her hands steady, but inside she was still the girl who had left a man’s blood on her knuckles and did not know if she deserved the air she breathed. “You changed,” Aurora said. “Not just the hair. You wear it differently.” Eva’s laugh was sharp, dry. “You expected me to stay pretty for you? To stay the girl who waited at the train station?” “I expected you to stay alive,” Aurora said. Silas returned with two glasses and a bottle of whiskey slashed with the green glow from the sign outside. He set them down without asking, his silver signet ring tapping the wood. He did not speak; he only watched with hazel eyes that had seen too many people become strangers to themselves. “Drink,” Silas said. Eva reached out, her hand trembling only for a second before she closed her fingers around the glass. Aurora did the same. The whiskey burned like a confession. They spoke in fragments, the dialogue stitching together the years they had lost. Eva spoke of the streets she had walked, of the underworld she had danced with, of the nights she thought Aurora was dead or vanished or simply erased by the life she had chosen. She spoke of regret, not as a soft thing but as a blade she kept sharp. Aurora spoke of Pre-Law, of the barrister father who spoke of justice in rooms where none existed, of her mother’s teaching voice that had never convinced Aurora she was safe anywhere. “You came back,” Eva said. “Why now?” Aurora looked at her old friend and saw not the girl from Cardiff but someone carved out by time and silence. The weight of the unspoken regret pressed down: the phone calls never made, the letters never sent, the nights when Aurora had wanted to scream Eva’s name and had swallowed it instead. “I was told you might be here,” Aurora said. Eva’s jaw tightened. “You were tracking me.” “I was tracking myself,” Aurora said, and her voice cracked open, just enough. “I needed to see if you were still the person I left behind.” Eva stared at her for a long moment. The black-and-white photographs on the wall seemed to observe them, frozen moments of strangers who had never reconciled. “I am not her,” Eva said. “And you are not either.” The words hung, unadorned, true. Silas moved to the shelf behind the bar and pulled out a book, revealing the hidden doorway to the secret room, but only for a breath. He closed it, and the bar returned to its stillness. Aurora touched the crescent scar on her wrist, feeling the shape of her past, the accident, the survival. She looked at Eva’s shaved head, at the scar on her jaw, at the hollow eyes that had learned how to house a lifetime of silence. “I don’t know who I am without you,” Aurora said. Eva’s hand tightened around her glass. She did not offer comfort; she offered honesty. “You never knew,” Eva said. “You just pretended you did.” Aurora’s bright blue eyes dimmed. Outside, the green neon flickered and died, then sparked back to life, casting shadows across the old maps of a world they had both left behind. They sat in the darkness, two old friends reduced to the architecture of regret, neither one finished with the other, neither one willing to turn away from the weight of the years they had spent not speaking. Silas polished the counter, his limp making a soft rhythm in the silence, and the bar held them like a secret it had kept for decades. Aurora’s breath came slow. She did not reach across the table. She did not apologize for the years, because apologies were thin things, and they were past that now. She only looked at Eva, and Eva looked back, and the space between them was as loud as any explosion. “I should go,” Aurora said. Eva nodded, but her eyes stayed locked on Aurora’s face. “You live upstairs,” Eva said. “You can come down again.” “I might,” Aurora said. She stood. Her coat fell open, revealing the delivery bag she had dropped near the door, the logo of the Golden Empress stamped across the paper. She was still delivering things, still carrying the weight of other people’s needs, but in this room, with Eva, she was only herself, scarred and quiet and unafraid of the mirror. She walked toward the door, her shoulders straight, her hair falling past her shoulders, her bright blue eyes fixed on the green neon that buzzed like a heartbeat above the exit. Behind her, Eva did not call her back, but the silence spoke, and Silas watched with the patience of a man who had once taught people how to disappear. Aurora stepped into the Soho night, and the Raven’s Nest closed behind her, leaving two old friends suspended in the dark, the unspoken regret settled between them like dust on an old map, heavy, permanent, and finally shared.
created_at"2026-09-01T13:53:07.473Z" 9/1/2026, 1:53:07 PM
model"thinkingmachines/inkling-small-20260730"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency245
moderation_latency(null)
generation_time36617
tokens_prompt1063
tokens_completion5934
native_tokens_prompt989
native_tokens_completion5129
native_tokens_completion_images(null)
native_tokens_reasoning3736
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)
usage0.00659985
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788270787-RaBfDnLcFiKcUH1k7wPD"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788270787-LiHGJy0uTFaKn4qoThoF"
upstream_id"chatcmpl-RVHwPSSd7duIZ6tDiv04c3Zr"
provider_responses
0
endpoint_id"d1d9657b-3c3a-49b5-8f81-33204e7c71c3"
id"chatcmpl-RVHwPSSd7duIZ6tDiv04c3Zr"
is_byokfalse
latency130
model_permaslug"thinkingmachines/inkling-small-20260730"
provider_name"DeepInfra"
status200
total_cost0.00659985
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
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
totalTags18
adverbTagCount0
adverbTags(empty)
dialogueSentences30
tagDensity0.6
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1495
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)
46.49% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1495
totalAiIsms16
found
0
word"glinting"
count1
1
word"carried the weight"
count1
2
word"throbbed"
count1
3
word"scanned"
count1
4
word"eyebrow"
count1
5
word"tension"
count1
6
word"silence"
count4
7
word"weight"
count3
8
word"unspoken"
count2
9
word"flickered"
count1
highlights
0"glinting"
1"carried the weight"
2"throbbed"
3"scanned"
4"eyebrow"
5"tension"
6"silence"
7"weight"
8"unspoken"
9"flickered"
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
narrationSentences85
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences85
filterMatches(empty)
hedgeMatches
0"started to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences98
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen57
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1495
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions20
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions77
wordCount1265
uniqueNames15
maxNameDensity2.21
worstName"Aurora"
maxWindowNameDensity4.5
worstWindowName"Aurora"
discoveredNames
Raven2
Nest2
Cardiff4
London2
Blackwood1
Prague1
Eva24
Aurora28
Evan1
University1
Silas7
Pre-Law1
Golden1
Empress1
Soho1
persons
0"Raven"
1"Nest"
2"Blackwood"
3"Eva"
4"Aurora"
5"Evan"
6"Silas"
7"Empress"
places
0"Cardiff"
1"London"
2"Prague"
3"Soho"
globalScore0.393
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount1
matches
0"felt like a prophecy"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords2.007
wordCount1495
matches
0"not since the night she fled Cardiff with nothing but a rucksack"
1"not as a soft thing but as a blade she kept sharp"
2"not the girl from Cardiff but someone carved out by time"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences98
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean30.51
std26.89
cv0.881
sampleLengths
083
181
227
368
484
53
64
710
87
922
1035
116
1247
1328
146
1554
165
1721
1899
1912
2023
218
2252
233
2428
2594
267
2753
289
297
3026
3126
3211
335
3436
3544
3610
3714
3810
3931
4063
4149
425
4310
4410
454
4657
4760
4838
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences85
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs211
matches
0"was still delivering"
26.24% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount4
flaggedSentences4
totalSentences98
ratio0.041
matches
0"He did not raise his hands in greeting; he simply set a rag across the counter."
1"She had once been the kind of girl who laughed at lawyers and sang in train stations; now she wore a black leather jacket with the collar turned up, her hair shaved to a dark fuzz that revealed the shape of her skull."
2"He did not speak; he only watched with hazel eyes that had seen too many people become strangers to themselves."
3"She did not offer comfort; she offered honesty."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount640
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.025
lyAdverbCount2
lyAdverbRatio0.003125
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences98
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences98
mean15.26
std11.26
cv0.738
sampleLengths
023
134
226
321
424
520
616
78
816
93
1014
1124
1230
1317
1443
1511
1613
173
184
1910
207
2122
2218
237
2410
256
2622
2725
2820
298
306
317
3247
335
343
355
3613
3715
3827
3957
404
418
425
4318
448
4519
4613
4720
483
4918
41.84% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.21428571428571427
totalSentences98
uniqueOpeners21
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences70
matches(empty)
ratio0
82.86% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences70
matches
0"She had not stepped inside"
1"He wore a steel-grey shirt,"
2"he said, his voice low"
3"He did not raise his"
4"Her straight black hair fell"
5"She had once been the"
6"Her eyes, when she turned,"
7"She slid into the booth"
8"She did not pull her"
9"They had not spoken in"
10"He set them down without"
11"He did not speak; he"
12"They spoke in fragments, the"
13"She spoke of regret, not"
14"He closed it, and the"
15"She looked at Eva’s shaved"
16"She did not offer comfort;"
17"They sat in the darkness,"
18"She did not reach across"
19"She did not apologize for"
ratio0.343
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount66
totalSentences70
matches
0"Aurora pushed through the heavy"
1"The smell of stale ale"
2"She had not stepped inside"
3"Silas Blackwood stood behind the"
4"He wore a steel-grey shirt,"
5"A slight limp dragged his"
6"he said, his voice low"
7"He did not raise his"
8"Aurora kept her hands out"
9"The crescent scar on her"
10"Her straight black hair fell"
11"Eva sat with her spine"
12"She had once been the"
13"A thin line of silver"
14"Her eyes, when she turned,"
15"Aurora’s breath caught."
16"Eva did not smile."
17"The words landed between them"
18"Silas disappeared into the back,"
19"Aurora crossed the floorboards, her"
ratio0.943
71.43% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences70
matches
0"Now Aurora lived in the"
ratio0.014
68.45% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount5
matches
0"The smell of stale ale and old parchment hit her first, then the dim amber light that clung to the walls covered in faded maps and black-and-white photographs o…"
1"She had once been the kind of girl who laughed at lawyers and sang in train stations; now she wore a black leather jacket with the collar turned up, her hair sh…"
2"Aurora spoke of Pre-Law, of the barrister father who spoke of justice in rooms where none existed, of her mother’s teaching voice that had never convinced Auror…"
3"The black-and-white photographs on the wall seemed to observe them, frozen moments of strangers who had never reconciled."
4"She walked toward the door, her shoulders straight, her hair falling past her shoulders, her bright blue eyes fixed on the green neon that buzzed like a heartbe…"
97.22% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount1
matches
0"he said, his voice low and unhurried"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags17
fancyCount0
fancyTags(empty)
dialogueSentences30
tagDensity0.567
leniency1
rawRatio0
effectiveRatio0
78.3730%