Run: 2026-07-25-01KYCTPYSQ47X7Q6TGPMT20HMM

Run Details

Duration:
2m 36s
Cost:
$0.005287
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 of The Raven's Nest bled through the rain-streaked glass, casting a sick glow over the rain-slick pavement of Soho. Rory pushed through the door with her shoulder, carrying a damp takeout bag from Yu-Fei Cheung's Golden Empress that smelled of ginger and regret. The bar smelled of old wood, tobacco ghosts, and something sharper—clean steel hidden beneath polish. She hadn't intended to stop here. The flat above Silas' bar felt too close, too watched. But her boots ached and the storm had teeth. The walls wore old maps and black-and-white photographs like scars. Rory shrugged out of her jacket and settled onto a sticky stool near the far end of the mahogany, away from the muted television flickering cricket highlights. Her straight shoulder-length black hair clung to her collar. The crescent-shaped scar on her left wrist caught the neon as she set her elbows on the bar. Footsteps approached behind her, deliberate, uneven. That limp—left leg, old injury—echoed in the floorboards. "You're still ordering for one, Aurora." She turned. Silas Blackwood stood in the threshold of the hidden back room, silver signet ring catching the green light as he adjusted a cuff. Grey-streaked auburn hair matched his neatly trimmed beard. His hazel eyes held the same quiet authority she remembered, but time had carved deeper lines around them, channels of a river that had flowed hard. "Rory," she corrected. "Nobody called me Aurora since Cardiff." "Your father did. Before he stopped answering." The air between them tightened. She had fled to London at Eva's begging, left Evan's bruises behind like discarded coats, left Pre-Law at Cardiff University in a pile of unread textbooks. She had changed. Silas had changed—retired MI6 field agent turned bar owner, a spymaster playing landlord in a bar with a secret bookshelf room. "Delivery for Golden Empress," she said, pushing the bag forward. "But I live upstairs. You knew I'd come back eventually." "Not back. Through." He circled the bar, limping slightly, and poured two measures of amber liquid into heavy glasses. "You carry yourself like someone running from something that already happened." She drank. The burn matched her mood. "My mother taught in Cardiff until she couldn't. My father was an Irish barrister who drank his briefs. You used to tell me I had quick thinking. Out-of-the-box." "You were brilliant. You are brilliant. That hasn't changed." "Everything else has." She stared into her glass. "Evan made sure of it. Then London made sure of it." Silas leaned against the bar, his ring tapping the wood, a slow metronome of patience. "Eva mentioned you were here. Working part-time, hiding in plain sight. The Raven's Nest isn't a hiding place, Rory. It's a crossroads." "I needed a crossroads that didn't ask for my past." "Time asks regardless." He slid a photograph from beneath the bar—a black-and-white image of two young people outside a Cardiff lecture hall. She recognized the bright blue of her own younger eyes, the absence of the scar, the hope that hadn't yet learned to flinch. "You kept that," she said. "I keep what matters." His gaze softened but didn't waver. "You left law for delivery. You left a name. You carry a crescent scar like a secret map. But you haven't left the sharpness, Aurora Carter. Malphora to some, Carter to others, Rory to the ones who matter." The aliases felt like stones in her mouth. She had worn them like armor. "You're not the same boy who taught me to think three moves ahead," she said. "I'm not the boy at all. Prague did that." He touched his left knee unconsciously. "Botched operation. Permanent limp. Permanent retirement. I opened this place—The Raven—as a front. For contacts, for networks, for people like you who need doors that open backward." She looked at the bookshelves behind him, knowing now that they concealed more than dust. "I don't need a network," she said. "I need the weight to stop pressing." "The weight is the regret you never named." He pushed the second drink closer. "You ran from Evan. You ran from law. You ran from Aurora. But running creates distance between who you were and who you become. That distance is heavy, Rory." She picked up the glass. The liquid caught the neon, green and gold. "I wasn't brave enough to stay," she said. "You were brave enough to leave. There's a difference." Outside, rain hammered the green sign. Inside, the old maps watched from every wall—places they had both dreamed of, places neither had reached. Silas finished his drink in one slow swallow. "The hidden room is still there," he said. "If you ever need to have a conversation that doesn't end with goodbye." Rory stood, her jacket still damp, her hair still dark, her eyes still that piercing blue. The scar on her wrist seemed to pulse in time with her heart. "I'll be back tomorrow," she said. "With the delivery. Or without it." She walked toward the door, then paused. The limp in Silas' step had always been a reminder of survival, not defeat. She had survived too. "Goodnight, Silas," she said. "Goodnight, Aurora." She pushed into the rain, leaving him with the empty glasses and the photographs. The weight hadn't lifted, but for the first time in years, she hadn't tried to outrun it alone.<|end_message|>
created_at"2026-07-25T14:26:20.095Z" 7/25/2026, 2:26:20 PM
model"thinkingmachines/inkling-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency846
moderation_latency(null)
generation_time156310
tokens_prompt1063
tokens_completion1351
native_tokens_prompt990
native_tokens_completion1166
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached512
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)
usage0.00528734
router(null)
provider_responses
0
endpoint_id"d6b9d68e-115a-49d7-81cd-1ad1c6942b0e"
id"chatcmpl-RhEZkzzI0v0bnFOwJxs9l6dd"
is_byokfalse
latency67
model_permaslug"thinkingmachines/inkling-20260715"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784989580-AlzWhxsTxcnjc4R46glh"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784989580-6Ae03Pp3iN4G2A2wQARB"
upstream_id"chatcmpl-RhEZkzzI0v0bnFOwJxs9l6dd"
total_cost0.00528734
cache_discount0.00042496
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags15
adverbTagCount0
adverbTags(empty)
dialogueSentences33
tagDensity0.455
leniency0.909
rawRatio0
effectiveRatio0
94.41% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount895
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)
60.89% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount895
totalAiIsms7
found
0
word"footsteps"
count1
1
word"echoed"
count1
2
word"weight"
count3
3
word"pulse"
count1
4
word"reminder"
count1
highlights
0"footsteps"
1"echoed"
2"weight"
3"pulse"
4"reminder"
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
narrationSentences54
matches(empty)
63.49% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount3
narrationSentences54
filterMatches(empty)
hedgeMatches
0"tended to"
1"seemed to"
2"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences72
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords887
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount544
uniqueNames16
maxNameDensity0.74
worstName"Silas"
maxWindowNameDensity1.5
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Soho1
Yu-Fei1
Cheung1
Golden1
Empress1
Blackwood1
London1
Eva1
Evan1
Pre-Law1
Cardiff2
University1
Silas4
Rory3
persons
0"Raven"
1"Nest"
2"Yu-Fei"
3"Cheung"
4"Blackwood"
5"Eva"
6"Evan"
7"Silas"
8"Rory"
places
0"Soho"
1"London"
2"Cardiff"
globalScore1
windowScore1
80.56% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences36
glossingSentenceCount1
matches
0"felt like stones in her mouth"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount887
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences72
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean24.64
std17.54
cv0.712
sampleLengths
061
125
264
314
46
559
69
77
855
920
1030
1135
129
1319
1437
1510
1645
175
1848
1914
2015
2142
2215
2314
2443
2513
268
279
2831
2921
3029
3112
3225
334
342
3532
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences54
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs90
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences72
ratio0.069
matches
0"The bar smelled of old wood, tobacco ghosts, and something sharper—clean steel hidden beneath polish."
1"That limp—left leg, old injury—echoed in the floorboards."
2"Silas had changed—retired MI6 field agent turned bar owner, a spymaster playing landlord in a bar with a secret bookshelf room."
3"\"Time asks regardless.\" He slid a photograph from beneath the bar—a black-and-white image of two young people outside a Cardiff lecture hall."
4"Inside, the old maps watched from every wall—places they had both dreamed of, places neither had reached."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount340
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.023529411764705882
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences72
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences72
mean12.32
std7.82
cv0.635
sampleLengths
022
124
215
36
410
59
610
727
89
918
106
118
126
132
1423
158
1626
173
186
197
205
2126
223
2321
2410
2510
2619
2711
282
295
3028
319
328
3311
3415
3522
3610
3722
3823
395
4010
4138
428
436
4415
4515
4627
4715
487
497
58.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.375
totalSentences72
uniqueOpeners27
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences44
matches(empty)
ratio0
47.27% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences44
matches
0"She hadn't intended to stop"
1"Her straight shoulder-length black hair"
2"His hazel eyes held the"
3"She had fled to London"
4"She had changed."
5"she said, pushing the bag"
6"He circled the bar, limping"
7"She stared into her glass"
8"He slid a photograph from"
9"She recognized the bright blue"
10"His gaze softened but didn't"
11"She had worn them like"
12"He touched his left knee"
13"She looked at the bookshelves"
14"He pushed the second drink"
15"She picked up the glass."
16"She walked toward the door,"
17"She had survived too."
18"She pushed into the rain,"
ratio0.432
5.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences44
matches
0"The green neon of The"
1"Rory pushed through the door"
2"The bar smelled of old"
3"She hadn't intended to stop"
4"The flat above"
5"The walls wore old maps"
6"Rory shrugged out of her"
7"Her straight shoulder-length black hair"
8"The crescent-shaped scar on her"
9"Footsteps approached behind her, deliberate,"
10"That limp—left leg, old injury—echoed"
11"Silas Blackwood stood in the"
12"His hazel eyes held the"
13"The air between them tightened."
14"She had fled to London"
15"She had changed."
16"Silas had changed—retired MI6 field"
17"she said, pushing the bag"
18"He circled the bar, limping"
19"The burn matched her mood."
ratio0.909
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences44
matches(empty)
ratio0
35.71% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount3
matches
0"Rory pushed through the door with her shoulder, carrying a damp takeout bag from Yu-Fei Cheung's Golden Empress that smelled of ginger and regret."
1"His hazel eyes held the same quiet authority she remembered, but time had carved deeper lines around them, channels of a river that had flowed hard."
2"She recognized the bright blue of her own younger eyes, the absence of the scar, the hope that hadn't yet learned to flinch."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount1
fancyTags
0"she corrected (correct)"
dialogueSentences33
tagDensity0.273
leniency0.545
rawRatio0.111
effectiveRatio0.061
78.2043%